Genetic Parameters for the Milk Coagulation Properties and Prevalence of Noncoagulating Milk in Finnish Dairy Cows

Size: px
Start display at page:

Download "Genetic Parameters for the Milk Coagulation Properties and Prevalence of Noncoagulating Milk in Finnish Dairy Cows"

Transcription

1 Genetic Parameters for the Milk Coagulation Properties and Prevalence of Noncoagulating Milk in Finnish Dairy Cows T. IKONEN, K. AHLFORS, R. KEMPE, M. OJALA, and O. RUOTTINEN Department of Animal Science, University of Helsinki, PO Box 28, 14 Helsinki University, Finland ABSTRACT The genetic parameters were estimated for milk coagulation properties and milk production traits, and the prevalence of noncoagulating milk in the Finnish dairy cattle population was investigated. Data were included for 789 Finnish Ayrshire cows and 86 Finnish Friesian cows from 51 herds. The animal model used for estimation included fixed effects for parity, stage of lactation, breed, and herd. Further, effects of milk protein genotypes on phenotypic and genetic variation in the studied traits were examined. Heritability estimates for the milk coagulation properties were moderately high. The k-casein B allele was associated with the best phenotypic and genetic values for curd firmness, and the A and E alleles were associated with the poorest. About 24% of the additive genetic variation in the curd firmness was due to milk protein polymorphism. About 8% of the Finnish Ayrshire cows in the present study produced noncoagulating milk. Because of the occurrence of the noncoagulating milk and a possibly unfavorable genetic trend in the milk coagulation properties, it would be important to improve these traits in the Finnish Ayrshire breed. Milk coagulation properties could be improved directly by selecting for these traits or indirectly by favoring the k-casein B allele or by selecting against genetic markers associated with poorly coagulating or noncoagulating milk. ( Key words: milk coagulation, noncoagulation, genetic parameters, Finnish dairy cows) Abbreviation key: FAy = Finnish Ayrshire, FFr = Finnish Friesian, NC = noncoagulating. INTRODUCTION The importance of cheese production has increased during the past 15 yr in Finland, and currently about Received May 11, Accepted September 9, % of the milk produced there is used for cheese production. The coagulation ability of milk is essential in cheese making. Milk with favorable coagulation properties (i.e., short coagulation and curdfirming times and a firm curd) is expected to give more cheese with desirable composition than milk with unfavorable properties (3, 6). There are no published data on variation or trend in the milk coagulation properties over the past decades in Finland. However, according to the observations made in Finnish dairies, the average coagulation ability of milk has been deteriorating during the past 2 to 3 yr. Consequently, to be able to produce the same amount of cheese, more milk is needed today than in recent decades. In addition, two Finnish data sets collected in 198s (29) and 199s (12) showed that 3.6% of 168 Finnish Ayrshire ( FAy) cows and 1.2% of 59 FAy cows, respectively, produced noncoagulating ( NC) milk. Because of the importance of cheese production in Finland, there is an interest in halting the undesirable trend in milk coagulation properties and in improving these traits. Consequently, reasons for the unfavorable changes and variation in the coagulation properties have to be identified. Should a reasonable part of the variation in the milk coagulation properties be genetic, these characteristics could be improved by selection. In addition, it is important to find out whether the relatively high frequency of NC milk that has been reported in (12, 29) was by chance or is a common phenomenon in the Finnish dairy cattle population. Heritability estimates for the milk coagulation properties have been estimated in only a few studies (15, 25, 29), none of which used an animal model to account for all known genetic relationships among animals. Because of the small data sets and statistical procedures assumed, some heritability estimates were not reliable. The results of the previous studies implied, however, that a moderate part of the variation in the milk coagulation properties could be due to additive genetic effects J Dairy Sci 82:

2 26 IKONEN ET AL. The lack of suitable equipment for routine determination of the milk coagulation properties in the national cow population would restrict possibilities of direct selection for these traits. An indirect way of improving the milk coagulation properties might possibly be to favor the k-cn B allele or alleles at other loci that are associated with favorable coagulation properties. The k-cn B allele is known to be associated with more desirable coagulation properties (1, 4, 12, 19, 26, 28, 29, 3) and protein composition of milk (12, 19, 22, 28) than is the A allele, but no reliable estimates exist of the effect of the k-cn E allele on these traits. The k-cn E allele is rather common (3%) in the FAy (13), the main dairy breed in Finland. Another indirect way of improving the milk coagulation properties might be to breed for routinely recorded dairy traits that correlate favorably with the milk coagulation properties. Genetic correlations between the milk coagulation properties and milk production traits have thus far been estimated from only a few, small data sets (15, 25). Reliable estimates for the genetic correlations between the milk coagulation properties and milk production traits are therefore needed. The objectives of this study were to estimate genetic parameters (heritabilities and genetic correlations) for milk coagulation properties and milk production traits and to estimate the prevalence of NC milk in the Finnish dairy cattle population. Data MATERIALS AND METHODS A total of 789 FAy and 86 Finnish Friesian ( FFr) cows from 51 herds in southern Finland were sampled once during the period from February to April The milk samples were a mixture of evening and morning milkings; samples were analyzed for milk coagulation properties, ph, milk yield, fat percentage, protein percentage, SCC, and major milk protein genotypes. Background information about the cows and herds was obtained from national milk recording data sets from Agricultural Data Processing Centre (Vantaa, Finland). It was not possible to get detailed information about the feeding of the cows, although feeding procedures can affect milk coagulation properties (1, 8, 19). Laboratory Analyses The milk coagulation properties were determined at 32 C using a Formagraph (Foss Electric A/S, Hillerød, Denmark) in the laboratory of the Food Research Institute of Agricultural Research Centre (Jokioinen, Finland). Rennet (Renco Calf Rennet Liquid; New Zealand Rennet Company Ltd., Eltham, New Zealand) was diluted in.7 M sodium acetate buffer (1:1, vol/vol; ph 5.5). The ph of milk was determined (PHM82 Standard ph Meter; Radiometer, Copenhagen, Denmark). The milk samples were allowed to coagulate for 3 min because, during the cheese-making process, curd is usually cut 3 min after the addition of rennet to the milk. The three milk coagulation properties determined were milk coagulation time in minutes, curdfirming time in minutes, and firmness of the curd in millimeters. Milk coagulation time was the time from the addition of rennet to milk to the beginning of coagulation. Curd-firming time was the time from the beginning of coagulation to the moment the width of the curve was 2 mm. Firmness of the curd was the width of the curve 3 min after the addition of rennet. The milk samples that did not form curd in 3 min (i.e., a straight line on the output paper) were defined as NC samples. Fat and protein percentages were determined using a Milko Scan 65 (Foss Electric A/S), and SCC was determined by means of a Fossomatic 36 (Foss Electric A/S) in local dairy laboratories. The frequency distribution for SCC was not normal, so SCC were logarithmically transformed. Genotypes for the a s1 -CN, b-cn, k-cn, and b-lg were determined in Finnish Animal Breeding Association laboratory (Vantaa, Finland) using isoelectric focusing as described by Erhardt (5). Statistical Analyses Univariate and bivariate models. Heritabilities for the studied traits and genetic correlations between the milk coagulation properties and milk production traits were first estimated using an univariate and a bivariate model: y ijklmn = m + parity i + stage j + breed k + herd l + anim m + e ijklmn, [1] where y ijklmn = milk coagulation or milk production trait, m = mean, parity i = fixed effect of parity i (i = 1 to 4), stage j = fixed effect for stage of lactation j (j = 1 to 6), breed k = fixed effect of breed k (k = 1 to 2),

3 GENETIC PARAMETERS FOR MILK COAGULATION 27 herd l = fixed effect of herd l (l = 1 to 51), anim m = random additive genetic effect of animal 2 m, N(, As a ), and e ijklmn = random residual effect, N(, 2 Ise ). A variance-covariance structure between studied traits 1 and 2 for a bivariate model was assumed, where s a1a2 and s e1e2 are additive genetic and residual covariances between traits 1 and 2: Var = a 1 a 2 e 1 e 2 2 As a1 As a1a2 As a1a2 2 As a2 2 Is e1 Is e1e2 Is e1e2 2 Is e2 Parity was grouped in four classes: first, second, third, and fourth to ninth parities; stage of lactation was grouped into six classes: 5 to 3 d, 31 to 6 d, 61 to 12 d, 121 to 18 d, 181 to 24 d, and >24 d after calving; and breed was grouped into two classes: FAy and FFr. Herd was treated as a fixed effect because the herds were a group selected from a certain area, and differences in the milk coagulation properties between them were of interest. Of the 51 herds, 33 were pure FAy herds, 1 was a pure FFr herd, and 17 were mixed herds. The number of animals per herd ranged from 6 to 47. The 789 FAy and 86 FFr cows with records were daughters of 246 FAy and 41 FFr sires, respectively. The average number of daughters per sire was only 3 but ranged from 1 to 79. The pedigree information consisted of parents and grandparents of the cows with records, and the total number of animals in the statistical analyses was Variance and covariance components for the random effects were estimated from the data using the REML VCE package (1). Solutions for the fixed and random effects in the models were obtained using the PEST package (9), and statistical significance of the fixed effects was tested using the F test provided by the PEST package (9). Multivariate models. In addition to univariate and bivariate analyses, heritabilities for the studied traits and genetic correlations between the milk coagulation properties and milk production traits were estimated using a corresponding multivariate model, in which a milk coagulation characteristic was analyzed simultaneously with ph, milk yield, fat percentage, protein percentage, and SCC. The multivariate model was used to determine whether more reliable and more accurate estimates for the genetic parameters would be obtained when information on phenotypic and genetic association between all studied traits was available. Modification of the univariate model. In order to estimate the effects of b-cn, k-cn, and b-lg genotypes on the milk coagulation properties and to study how their inclusion in the model affects additive genetic variation in the coagulation properties, the following model was assumed: y ijklmnop = m + parity i + stage j + breed k + herd l + b-k-cn m + b-lg n + anim o + e ijklmnop [2] where b-k-cn m = fixed effect of b-k-cn genotype class m (m = 1 to 9), and b-lg n = fixed effect of b-lg genotype (n = 1 to 3). The b-cn and k-cn were included in Model [2] as composite b-k-cn grouped into nine genotype classes (Figure 1). Because the k-cn B allele was rare (.8), the AB, BB, and BE genotypes of k-cn were combined within each b-cn genotype. Being almost monomorphic, a s1 -CN was not considered in the formation of the composite casein genotypes. The b-lg polymorphism was grouped into three genotype classes: AA (n = 88), AB (n = 366), and BB (n = 421). Other effects, assumptions, and statistical procedures used with Model [2] were identical to those used with Model [1]. Means and Variation RESULTS AND DISCUSSION The milk coagulation properties varied considerably (Table 1). About 8% of the milk samples did not coagulate in 3 min (curd firmness =. mm), and, thus, the distribution for the curd firmness was skewed toward the lowest (i.e., the most undesirable) values. In addition, every third milk sample did not reach a curd firmness of 2 mm in 3 min. The number of samples for the coagulation time and, especially, for the curd-firming time was, therefore, lower than for curd firmness. The curd-firming time was thus excluded from further statistical analyses. Means and variation for the milk coagulation and milk production traits (Table 1) were of the same magnitude as those reported by Ikonen et al. (12). Factors Affecting the Milk Coagulation Properties Parity. Milk yield, SCC, and ph increased with parity (Table 2). Both SCC and ph usually have an

4 28 IKONEN ET AL. Figure 1. Estimates of effect of the b-k-cn genotypes on the milk coagulation properties. 1 AB (n = 5) + BB (n = 1) + BE (n = 26); 2 AB (n =8)+BB(n =2) +BE(n =6); 3AB (n = 13) + BB (n = 1). unfavorable effect on the milk coagulation properties [e.g., (26, 27)]. Parity had, however, no statistically significant ( P =.423) effect on the milk coagulation properties. Similar results were observed also in some other studies (4, 15, 26), but, in the study of Schaar et al. (28), the milk coagulation properties improved with parity. Stage of lactation. The milk coagulation properties were at their best during the 1st mo of lactation (5 to 3 d after calving) and again from the 9th mo (>24 d after calving) onward (Table 3). The changes in the curd firmness over the course of lactation were parallel to those in protein and fat percentages and in SCC and were almost opposite to the changes in milk yield over lactation (Table 3). This result agrees with those reported in (12, 14), but, in others (4, 24), the milk coagulation properties deteriorated as lactation proceeded. In (15, 26, 28), stage of lactation had no effect on the milk coagulation properties. Confounded effects for stage of lactation and season in some of the previous studies may partially explain the contradictory results for the effect of stage of lactation on the milk coagulation properties. Breed. The milk coagulation properties were on average better for the FFr than for the FAy cows (Table 4), which was in part because NC milk was found only in the FAy. Also a difference between the breeds in ph of milk explained some of the differences TABLE 1. Means and variation in the milk coagulation and milk production traits. 1Number of cows and observations. 2Coefficient of variation, expressed as a percentage. 3Milk samples that coagulated in 3 min. n 1 X Minimum Maximum CV 2 Coagulation time, 3 min Curd-firming time, min Curd firmness, mm Curd firmness, 3 mm ph Daily milk yield, kg Fat content, % Protein content, % Log-transformed SCC

5 GENETIC PARAMETERS FOR MILK COAGULATION 29 TABLE 2. Estimates (Est.) of effect of parity relative to the first parity class on the milk coagulation and milk production traits. Parity to 9 (n = 313) (n = 24) (n = 148) (n = 174) P Est. SE Est. SE Est. SE Coagulation time, 1 min Curd firmness, mm ph <.1 Daily milk yield, kg <.1 Fat content, % Protein content, % <.1 Log-transformed SCC <.1 1Milk samples that coagulated in 3 min. in the coagulation properties between the breeds. The fat content of milk was higher for the FAy, whereas there was no difference in protein content of milk between the breeds. The k-cn B allele, which had a favorable effect on the milk coagulation properties (Figure 1), was more frequent (chi-square test, P <.1) in FFr (.14) than in FAy (.7). Casein polymorphism explained only a negligible part of the differences in the milk coagulation properties between the breeds because the differences remained statistically significant after the records were adjusted for the milk protein genotype effects (Table 4). In the study of Macheboeuf et al. (19), the more favorable milk coagulation properties of Montbéliarde and Tarentaise cows compared with those of Holstein cows were mostly due to differences between the breeds in the distribution of the k- CN alleles and in the casein content of milk. Herd. There was variation in the milk coagulation time ( P <.5), milk yield, ph, fat percentage, and protein percentage ( P <.1 for each previous trait) and in the frequency of the k-cn B allele between the herds (data not shown). As with the breed effect, differences in the previous traits between the herds were not due to k-cn polymorphism because the herd effect on these traits was statistically significant after the records were adjusted for the effects of milk protein genotypes. Erhardt et al. ( 6 ) found no difference in the protein percentage of milk between the herds with a high frequency (25.8%) of the k-cn B allele and those herds with a low frequency (9.7%), but fat percentage was higher in the herds with a high frequency. The β-κ-cn genotypes. Within each b-cn genotype, the k-cn B allele was associated with the most favorable coagulation properties (Figure 1), as has been observed in numerous studies (1, 4, 12, 26, 28, 29, 3). The k-cn E allele did not appear in combination with the b-cn A 2 A 2 genotype, but, within the other two b-cn genotypes, the k-cn E allele was TABLE 3. Estimates (Est.) of effect for stage of lactation relative to the fourth stage of lactation class on the milk coagulation and milk production traits. Days after calving 5 to 3 31 to 6 61 to to to 24 >24 (n = 56) (n = 84) (n = 192) (n = 195) (n = 191) (n = 157) P Est. SE Est. SE Est. SE Est. SE Est. SE Coagulation time, 1 min <.1 Curd firmness, mm <.1 ph <.1 Daily milk yield, kg <.1 Fat content, % <.1 Protein content, % <.1 Log-transformed SCC <.1 1Milk samples that coagulated in 3 min.

6 21 IKONEN ET AL. associated with the poorest milk coagulation properties. In addition, the frequency of the k-casein E allele was somewhat higher among the cows with a noncoagulating milk sample (.36) than among other cows (.29), but the difference between the groups was not significant. The unfavorable effect of the k- CN E allele compared with that of the B and A alleles was in agreement with the preliminary results obtained for the FAy and FFr cows (12) and with those reported by Lodes et al. (16) and by Oloffs et al. (25). Milk production, ph, fat percentage, protein percentage, or SCC were not affected by the b-k-cn genotypes, which agreed with the results reported by Ikonen et al. (12). The favorable effect of the k-cn B allele on protein percentage has been observed in some studies (2, 11, 2) but not in others (7, 18, 23). In addition to the favorable effect on milk coagulation properties, the k-cn B allele was associated with a high casein content (12, 28), with a high k-cn content (1, 12), and with small casein micelle size (17). Hence, the total protein content of milk may not give an accurate enough estimate of casein content or of casein composition of milk. It is, however, the casein that coagulates in the cheese-making process and together with fat forms the major part of the dry matter in cheese. The β-lg genotypes. The milk coagulation time was shortest for the b-lg AA genotype ( P <.1); the curd firmness was not affected by the b-lg genotypes (data not shown). The b-lg AA genotype had a favorable effect on some or all milk coagulation properties in some studies (19, 21, 3), but, in the study of Pagnacco and Caroli (26), the genotypes had no effect on these properties. Genetic Parameters for the Milk Coagulation Properties There was a negligible or no difference between the estimates of heritabilities and genetic correlations obtained using a univariate or bivariate model and a multivariate model. Standard errors of the estimates were somewhat lower with a multivariate model than with other models. Thus, estimates of heritabilities of the traits and genetic correlations between a milk coagulation trait and a milk production trait that were obtained using a multivariate model are presented (Table 5). The genetic correlation between the coagulation time and the curd firmness was estimated using a bivariate model because it was not considered necessary to include these highly correlated traits in a multivariate analysis. Heritability estimates. Heritability estimates for the milk coagulation properties were moderately high and were of the same magnitude as those estimated for the milk production traits (Table 5). The heritability estimate for the coagulation time obtained in this study was somewhat lower than those reported in other studies (15, 25), and the estimate for the curd firmness was of the same magnitude as those reported by Oloffs et al. (25) but was somewhat higher than that reported by Tervala et al. (29). When the records were adjusted for the b-k-cn and b-lg genotype effects, estimates of additive genetic variance for the coagulation time and the curd firmness decreased by 2 and 24%, respectively. Thus, additive genetic variation in these milk coagulation properties was partially due to milk protein polymorphism. This result was parallel to the distinct effect of the b-k-cn genotypes on the milk coagulation time TABLE 4. Estimates (Est.) of differences between the Finnish Ayrshire (FAy) (n = 789) and the Finnish Friesian (FFr) (n = 86) cows in milk coagulation and milk production traits. 1No milk protein genotypes in the model. 2b-k-CN and b-lg genotypes in the model. 3Milk samples that coagulated in 3 min. Model [1] 1 Model [2] 2 FAy FFr P FAy FFr P Est. SE Est. SE Coagulation time, 3 min < Curd firmness, mm < ph Daily milk yield, kg Fat content, % Protein content, % Log-transformed SCC

7 GENETIC PARAMETERS FOR MILK COAGULATION 211 TABLE 5. Heritability estimates (Est.) for the milk coagulation and milk production traits (on diagonal) and genetic correlations between the traits (upper triangle) Est. SE Est. SE Est. SE Est. SE Est. SE Est. SE Est. SE 1. Coagulation time, 1 min Curd firmness, mm ph Daily milk yield, kg Fat content, % Protein content, % Log-transformed SCC.9.3 1Milk samples that coagulated in 3 min. and the curd firmness and to that of the b-lg genotypes on the coagulation time. Estimates of additive genetic variation in the other traits changed little, if any, when the records were adjusted for the milk protein genotype effects, which agreed with the negligible effect of the genotypes on them. In the study by Oloffs et al. (25), additive genetic variation in the milk coagulation properties increased because of the inclusion of the milk protein genotypes in the model, which disagreed with the clear effect of the genotypes on these properties. Genetic correlations. The high genetic correlation observed between the coagulation time and the curd firmness (Table 5) was expected because these parameters describe the consecutive steps of the milk coagulation process. Except for ph and protein percentage, estimates for the genetic correlations between the milk coagulation properties and the milk production traits were not reliable because of high standard errors. The unfavorable association between the milk coagulation properties and high ph (Table 5) agreed with some reported results (15, 25). The positive correlation between protein percentage and coagulation time and the negative correlation between protein percentage and curd firmness (Table 5) were somewhat unexpected. The parallel changes in curd firmness and protein percentage of milk with stage of lactation (Table 3) implied an association between high protein percentage and favorable milk coagulation properties. Conversely, differences in the milk coagulation properties and protein percentage between parity (Table 2), breed (Table 4), or b-k-cn genotype classes (data not shown for protein percentage) were more or less divergent. In addition, there was no clear association between extreme breeding values for curd firmness and breeding values for protein percentage (Table 7). In the study of Oloffs et al. (25), genetic correlations between the milk coagulation properties and protein percentage could not be reliably estimated. High casein percentage, however, was associated with favorable milk coagulation properties (25), which also emphasized the importance of casein in milk coagulation. In contrast to the present results, Lindström et al. (15) reported that high protein and fat percentages were correlated with short milk coagulation times. NC Milk The NC milk found (12, 29) in the FAy breed in the small Finnish data sets was observed also in the data of the current study, in which 66 FAy cows (i.e., 8%) produced NC milk. Extremely poorly coagulating or NC milk, usually occurring in late lactation, had been observed among Holstein (24) and Friesian cows (4). In the data of this study, there were 1 evaluated FAy bulls that had at least 15 daughters and that formed three families based on their mutual sire, grandsire, or both (Table 7). In Family 1, the 2 bulls with the largest daughter groups in the data were closely related. A relatively large proportion of these daughters produced NC milk. Among the bulls in family 2, the proportions of daughters producing NC milk were equal to or less than those among the bulls in family 1; in family 3, there was only 1 bull having 2 daughters with NC milk. Consequently, 31 of the 66 cows with NC milk were descendants of the previous 7 bulls, which implies that genetic factors were partially responsible for the occurrence of NC milk. The rest of the cows with NC milk were daughters of 31 other bulls. These bulls were on average younger than the previous 7 bulls and had fewer daughters being milked at the time of the sample collection.

8 212 IKONEN ET AL. Five of the previous 7 bulls were homozygous for the k-cn locus (Table 7). The bulls genotypes were inferred from the genotypes of their daughters that were included in this study and in the study of Ikonen et al. (13). Among the daughters of the homozygous bulls, the k-cn A, B, and E alleles were present; there was no major difference in k-cn genotype frequencies between the daughters producing NC milk and the other daughters. This result implies that it was not the k-cn gene but rather some other gene or genes near the k-cn gene that were causing NC milk. Because there was great variation in the curd firmness within the daughter groups of the 7 bulls (Table 7), these bulls may be heterozygous for some of the potential genes causing NC milk. Additive Genetic Values for the Curd Firmness About 6% of the cows producing NC milk were primiparous cows; their proportion in the whole data set was 35%. Standardized (mean = 1, variation = 1) additive genetic values (EBV) for the curd firmness of the 875 cows with records were examined to determine whether there was any genetic trend in that trait over the cow birth years 1983 to The EBV estimated with Model [1] were used. Curd firmness was chosen because it was the coagulation trait for which each cow had an observation and for which the heritability estimate was highest. In addition to curd firmness, EBV for ph, milk yield, fat percentage, protein percentage, and SCC were also studied. The exact accuracies of the EBV were not calculated. Based on the heritability estimate for curd firmness, the accuracy of the EBV for that trait would be around.6 but was assumed to be somewhat higher because of information on parents and grandparents of the cows with records. The accuracy of the EBV for the other traits was of similar magnitude as for the curd firmness. No change was found in EBV for the curd firmness for cows born during the period from 1983 to 1991, but the cows born in 1992 and 1993 had, on average, the lowest breeding values for the trait. In addition, TABLE 6. The 1 evaluated Finnish Ayrshire (FAy) bulls with at least 15 daughters. 1 Bull genotype for k-cn 1Mutual pedigree (indicated by numbers) and information on curd firmness (CF) values of daughters milk. 2Paternal grandsire. 3Maternal grandsire. 4Number of daughters. 5Proportion of daughters with a noncoagulating milk sample. Pedigree Information on daughters PGS 2 Mean Range Sire MGS 3 n 4 %NC 5 of CF of CF Family to 4. EE to 48. AA 1 Family to 41. AE to 4. AA to 45. AA to 43. AE 3 Family to 34. AA to 44. AA to 49. AA to 39. AA

9 GENETIC PARAMETERS FOR MILK COAGULATION 213 these cows had high breeding values for ph, low values for fat percentage, but medium values for protein percentage. All daughters of bull and majority of the daughters of bull 3755 were born in 1992 or Consequently, one-third of the cows born in these years were daughters of the 2 previous bulls; the proportion of other half-sib groups was 5%. Frequent use of these 2 bulls, which had several daughters producing NC milk, was one likely explanation for the unfavorable genetic trend in the curd firmness for the period from 1992 to 1993 in the present data. Bulls and 3755 were extensively used in the entire FAy population during the 199s. Thus, frequent use of these bulls, their sons, and other relatives may have had an undesirable impact on the genetic level of the milk coagulation properties in the entire FAy population. Breeding for Favorable Milk Coagulation Properties Based on the moderately high heritability estimates for the milk coagulation properties there is clear potential for genetic improvement of these properties. Out of the 2 cows with the highest EBV for curd firmness, 17 had the k-cn AB, BB, or BE genotype; the cows with the lowest EBV had the AA, AE, or EE genotype (Table 7). Because determination of the milk coagulation properties in the entire cow population is not practical, these properties could be improved indirectly by favoring the k-cn B allele. One disadvantage of favoring the k-cn B allele might be its association with low milk and protein yields. Even though the k-cn B allele has no strong effect on milk and protein yields in the FAy (11), it occurs in linkage disequilibrium with the b-cn A 1 allele, which has been strongly associated with low milk and protein yields (11). However, in this study, there was no clear difference in the breeding values for milk yield between the cows with the highest breeding values for the curd firmness and carrying the k-cn B allele and the cows with the lowest breeding values for the curd firmness and carrying the k- CN A or E allele (Table 7). Based on the estimates of the genetic correlations between the milk coagulation properties and milk production traits obtained in this study and in others (15, 25), it is unclear whether the milk coagulation properties would be improved by selecting for any routinely recorded milk production trait. CONCLUSIONS Because of occurrence of NC milk in the FAy population and the probability of an unfavorable trend in TABLE 7. Breeding values for the 2 cows with the highest and the 2 cows with the lowest EBV for curd firmness (CF). 1Daily milk yield. 2F% = Fat percentage; P% = protein percentage. 3Phenotypic value for CF. 4k-CN Genotype. Highest EBV Lowest EBV Cow CF ph DMY 1 F% 2 P% SCC CFP 3 k-cn 4 Cow CF ph DMY F% P% SCC CFP k-cn AB AA AB AE AB AA AB AE BE AE AB AA BE AE BE AE AB AE AB EE AA EE BE AE AB AA AB EE EE AE AB AA AA AA BB EE BE AA AB AE

10 214 IKONEN ET AL. the milk coagulation properties, these traits should be improved in the FAy. Because of the favorable effect of the k-cn B allele on phenotypic and genetic values for the curd firmness, the milk coagulation properties could possibly be improved indirectly by favoring the k-cn B allele. ACKNOWLEDGMENTS The authors thank the owners of the herds for the help in collecting the milk samples, Food Research Institute of Agricultural Research Centre (Jokioinen, Finland) and Finnish Animal Breeding Association (Vantaa, Finland) for laboratory facilities, and Anne Lundén for discussion of this manuscript. This work was in part funded by the Ministry of Agriculture and Forestry (Helsinki, Finland). REFERENCES 1 Aaltonen, M.-L., and V. Antila Milk renneting properties and the genetic variants of proteins. Milchwissenschaft 42: Bovenhuis, H., J.A.M. van Arendonk, and S. Korver Associations between milk protein polymorphisms and milk production traits. J. Dairy Sci. 75: Bynum, D. G., and N. F. Olson Influence of curd firmness at cutting on Cheddar cheese yield and recovery of milk constituents. J. Dairy Sci. 65: Davoli, R., S. Dall Olio, and V. Russo Effect of k-casein genotype on the coagulation properties of milk. J. Anim. Breed. Genet. 17: Erhardt, G k-kaseine in Rindermilch Nachweis eines weiteren Allels ( k-cn E ) in verschiedenen Rassen. J. Anim. Breed. Genet. 16: Erhardt, G., A. Münscher, R. Beuing, R. Grandke, and A. Renz- Schauen Effect of genetic polymorphism of bovine milk proteins on cheese yield under practical conditions. Page 44 in Proc. 47th Annu. Mtg. Eur. Assoc. Anim. Prod., Lillehammer, Norway. Wageningen Pers, Wageningen, The Netherlands. 7 Famula, T. R., and J. F. Medrano Estimation of genotype effects for milk proteins with animal and sire transmitting ability models. J. Dairy Sci. 77: Grandison, A. S., M. Anderson, G. D. Ford, and L. Newell Interrelationships between the diet fed to cows, composition and properties of milk and composition and quality of Cheshire cheese from farmhouse manufacturers. J. Dairy Res. 52: Groeneveld, E PEST User s Manual. Inst. Anim. Husbandry Anim. Behaviour, Fed. Agric. Res. Ctr., Neustadt, Germany. 1 Groeneveld, E REML-VCE a multivariate multimodel restricted maximum likelihood (co)variance component estimation package. Version 3.2. User s guide. Inst. Anim. Husbandry Anim. Behaviour, Fed. Agric. Res. Ctr., Neustadt, Germany. 11 Ikonen, T., M. Ojala, and O. Ruottinen Effects of composite beta-kappa-casein genotypes and beta-lactoglobulin genotypes on first lactation milk production traits in Finnish Ayrshire cows. Page 3 in Book Abstr. 48th Annu. Mtg. Eur. Assoc. Anim. Prod., Vienna, Austria. Wageningen Pers, Wageningen, The Netherlands.. 12 Ikonen, T., M. Ojala, and E.-L. Syväoja Effects of composite casein and b-lactoglobulin genotypes on renneting properties and composition of bovine milk by assuming an animal model. Agric. Food Sci. Finland 6: Ikonen, T., O. Ruottinen, G. Erhardt, and M. Ojala Allele frequencies of the major milk proteins in the Finnish Ayrshire and detection of a new k-casein variant. Anim. Genet. 27: Kreuzer, M., J.-P. Schulz, C. Fry, and H. Abel Rennet coagulation properties of milk from cows at three stages of lactation supplied with graded levels of an antimicrobial feed supplement. Milchwissenschaft 51: Lindström, U.B., V. Antila, and J. Syväjärvi A note on some genetic and non-genetic factors affecting clotting time of Ayrshire milk. Acta Agric. Scand. 34: Lodes, A., J. Buchberger, I. Krause, J. Aumann, and H. Klostermeyer The influence of genetic variants of milk proteins on the compositional and technological properties of milk. 2. Rennet coagulation time and firmness of the rennet curd. Milchwissenschaft 51: Lodes, A., I. Krause, J. Buchberger, J. Aumann, and H. Klostermeyer The influence of genetic variants of milk proteins on the compositional and technological properties of milk. 1. Casein micelle size and the content of non-glycosylated k-casein. Milchwissenschaft 51: Lundén, A., M. Nilsson, and L. Janson Marked effect of b-lactoglobulin polymorphism on the ratio of casein to total protein in milk. J. Dairy Sci. 8: Macheboeuf, D., J. B. Coulon, and P. D Hour Effect of breed, protein genetic variants and feeding on cow s milk coagulation properties. J. Dairy Res. 6: Mao, I. L., L. G. Buttazzoni, and R. Aleandri Effects of polymorphic milk protein genes on milk yield and composition traits in Holstein cattle. Acta Agric. Scand. 42: Marziali, A. S., and K. F. Ng-Kwai-Hang Effects of milk composition and genetic polymorphism on coagulation properties of milk. J. Dairy Sci. 69: Ng-Kwai-Hang, K. F., J. F. Hayes, J. E. Moxley, and H. G. Monardes Variation in milk protein concentrations associated with genetic polymorphism and environmental factors. J. Dairy Sci. 7: Ojala, M., T. R. Famula, and J. F. Medrano Effects of milk protein genotypes on the variation for milk production traits of Holstein and Jersey cows in California. J. Dairy Sci. 8: Okigbo, L. M., G. H. Richardson, R. J. Brown, and C. A. Ernstrom Variation in coagulation properties of milk from individual cows. J. Dairy Sci. 68: Oloffs, K., H. Schulte-Coerne, K. Pabst, and H. O. Gravert Die Bedeutung der Proteinvarianten für genetische Unterschiede in der Käsereitauglichkeit der Milch. Züchtungskunde 64: Pagnacco, G., and A. Caroli Effect of casein and b- lactoglobulin genotypes on renneting properties of milks. J. Dairy Res. 54: Politis, I., and K. F. Ng-Kwai-Hang Effects of somatic cell counts and milk composition on the coagulation properties of milk. J. Dairy Sci. 71: Schaar, J Effects of k-casein genetic variants and lactation number on the renneting properties of individual milks. J. Dairy Res. 51: Tervala, H.-L., V. Antila, and J. Syväjärvi Factors affecting the renneting properties of milk. Meijeritieteellinen Aikakauskirja XLIII 1: van den Berg, G., J.T.M. Escher, P. J. de Koning, and H. Bovenhuis Genetic polymorphism of k-casein and b- lactoglobulin in relation to milk composition and processing properties. Neth. Milk Dairy J. 46:

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Effect of kappa-casein and beta-lactoglobulin loci on milk production traits and reproductive performance of Holstein cows Citation for published version: Tsiaras, AM, Bargouli,

More information

Genomic mapping of non-coagulation of milk in the Finnish Ayrshire

Genomic mapping of non-coagulation of milk in the Finnish Ayrshire Journal of Animal and Feed Sciences, 16, Suppl. 1, 2007, 195 199 Genomic mapping of non-coagulation of milk in the Finnish Ayrshire K. Elo 1, A.-M. Tyrisevä, P. Anttila, V. Vilva and M. Ojala Department

More information

Chromosomal regions underlying noncoagulation of milk in Finnish Ayrshire cows

Chromosomal regions underlying noncoagulation of milk in Finnish Ayrshire cows EAAP session 35, abstract 3331, 27 August 2008 Chromosomal regions underlying noncoagulation of milk in Finnish Ayrshire cows Anna-Maria Tyrisevä, Kari Elo, Arja Kuusipuro, Veijo Vilva, Isto Jänönen, Heidi

More information

Abstract. M. De Marchi, M. Penasa, F. Tiezzi, V. Toffanin & M. Cassandro

Abstract. M. De Marchi, M. Penasa, F. Tiezzi, V. Toffanin & M. Cassandro Prediction of milk coagulation properties by Fourier Transform Mid- Infrared Spectroscopy (FTMIR) for genetic purposes, herd management and dairy profitability M. De Marchi, M. Penasa, F. Tiezzi, V. Toffanin

More information

Animal Science USAMV Iaşi; University of Agricultural Sciences and Veterinary Medicine Ion Ionescu de la Brad Iaşi ; Institute of Life Sciences at

Animal Science USAMV Iaşi; University of Agricultural Sciences and Veterinary Medicine Ion Ionescu de la Brad Iaşi ; Institute of Life Sciences at PhD THESIS ABSTRACT The PhD thesis entitled Genetic polymorphism of milk proteins and the relationships between their genetic variants with quantitative and qualitative traits in some cattle populations

More information

Usage of Predictors for Fertility in the Genetic Evaluation, Application in the Netherlands

Usage of Predictors for Fertility in the Genetic Evaluation, Application in the Netherlands Usage of Predictors for Fertility in the Genetic Evaluation, Application in the Netherlands G. de Jong NRS, P.O. Box 454, 6800 AL Arnhem, The Netherlands E-mail: Jong.G@nrs.nl 1. Introduction The last

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Effect of time period of data used in international dairy sire evaluations Citation for published version: Weigel, KA & Banos, G 1997, 'Effect of time period of data used in

More information

Genetic Evaluation for Ketosis in the Netherlands Based on FTIR Measurements

Genetic Evaluation for Ketosis in the Netherlands Based on FTIR Measurements Abstract Genetic Evaluation for Ketosis in the Netherlands Based on FTIR Measurements J.J. Vosman, G. de Jong, H. Eding and H. Knijn CRV, P.O. Box 454, 6800 AL Arnhem, The Netherlands E-mail: Jorien.Vosman@crv4all.com

More information

Analysis of Persistency of Lactation Calculated from a Random Regression Test Day Model

Analysis of Persistency of Lactation Calculated from a Random Regression Test Day Model Analysis of Persistency of Lactation Calculated from a Random Regression Test Day Model J. Jamrozik 1, G. Jansen 1, L.R. Schaeffer 2 and Z. Liu 1 1 Canadian Dairy Network, 150 Research Line, Suite 307

More information

Genetic Parameters of Test-Day Somatic Cell Score Estimated with a Random Regression Model

Genetic Parameters of Test-Day Somatic Cell Score Estimated with a Random Regression Model Genetic Parameters of Test-Day Somatic Cell Score Estimated with a Random Regression Model A.P.W. de Roos, A.G.F. Harbers and G. de Jong NRS, P.O. Box, 68 AL Arnhem, The Netherlands 1. Introduction As

More information

Genetic analysis of detailed milk protein composition and coagulation properties in Simmental cattle

Genetic analysis of detailed milk protein composition and coagulation properties in Simmental cattle J. Dairy Sci. 94 :5183 5193 doi: 10.3168/jds.2011-4297 American Dairy Science Association, 2011. Genetic analysis of detailed milk protein composition and coagulation properties in Simmental cattle V.

More information

Statistical Indicators E-34 Breeding Value Estimation Ketose

Statistical Indicators E-34 Breeding Value Estimation Ketose Statistical Indicators E-34 Breeding Value Estimation Ketose Introduction Ketosis is one of the most common disorders in dairy cows during the early stages of lactation. In the period until 60 days after

More information

Adjustment for Heterogeneous Herd-Test-Day Variances

Adjustment for Heterogeneous Herd-Test-Day Variances Adjustment for Heterogeneous Herd-Test-Day Variances G. J. Kistemaker and L.R. Schaeffer Centre for Genetic Improvement of Livestock University of Guelph, Guelph, Ontario, Canada Currently lactation records

More information

Genetic analysis of the growth rate of Israeli Holstein calves

Genetic analysis of the growth rate of Israeli Holstein calves Animal (2008), 2:12, pp 1717 1723 & The Animal Consortium 2008 doi:10.1017/s1751731108003042 animal Genetic analysis of the growth rate of Israeli Holstein calves J. I. Weller 1- and E. Ezra 2 1 Institute

More information

Metabolic disorders and their relationships to milk production traits in Austrian Fleckvieh

Metabolic disorders and their relationships to milk production traits in Austrian Fleckvieh Metabolic disorders and their relationships to milk production traits in Austrian Fleckvieh Simon Ederer 1, Christa Egger-Danner 2, Werner Zollitsch 1 & Birgit Fuerst-Waltl 1 1 University of Natural Resources

More information

Abstract. Keywords: Genetic evaluation, Health, Metabolic biomarkers, Animal model, Nordic Dairy Cattle, breeding values.

Abstract. Keywords: Genetic evaluation, Health, Metabolic biomarkers, Animal model, Nordic Dairy Cattle, breeding values. Improved genetic evaluation of health traits using metabolic biomarkers in Nordic dairy cattle E. Rius-Vilarrasa 1, W.F. Fikse 1, E. Carlén 1, J-Å. Eriksson 1, J. Pöso 2, U.S. Nielsen 3, G. P. Aamand 4

More information

Estimates of Genetic Parameters for the Canadian Test Day Model with Legendre Polynomials for Holsteins Based on More Recent Data

Estimates of Genetic Parameters for the Canadian Test Day Model with Legendre Polynomials for Holsteins Based on More Recent Data Estimates of Genetic Parameters for the Canadian Test Day Model with Legendre Polynomials for Holsteins Based on More Recent Data Bethany Muir, Gerrit Kistemaker and Brian Van Doormaal Canadian Dairy Network

More information

Prediction of milk coagulation properties by Fourier Transform Mid Infrared Spectroscopy (FTMIR) for genetic purposes, herd management

Prediction of milk coagulation properties by Fourier Transform Mid Infrared Spectroscopy (FTMIR) for genetic purposes, herd management Prediction of milk coagulation properties by Fourier Transform Mid Infrared Spectroscopy (FTMIR) for genetic purposes, herd management and dairy profitability Martino CASSANDRO e Massimo De MARCHI Department

More information

Genetic analysis of milk ß-hydroxybutyrate in early first lactation Canadian Holsteins

Genetic analysis of milk ß-hydroxybutyrate in early first lactation Canadian Holsteins Genetic analysis of milk ß-hydroxybutyrate in early first lactation Canadian Holsteins A. Koeck, * J. Jamrozik, * F. S. Schenkel, * R. K. Moore, D. M. Lefebvre, D. F. Kelton, and F. Miglior * * Centre

More information

Relationship Between Lactoferrin, Minerals, and Somatic Cells in Bovine Milk

Relationship Between Lactoferrin, Minerals, and Somatic Cells in Bovine Milk 2008 ADSA-ASAS Joint Annual Meeting Indianapolis, July 7-11 Relationship Between Lactoferrin, Minerals, and Somatic Cells in Bovine Milk H. Soyeurt 1, V. M.-R. Arnould 1, D. Bruwier 1, P. Dardenne 2, J.-M.

More information

Whole-genome association study for milk protein composition in dairy cattle

Whole-genome association study for milk protein composition in dairy cattle J. Dairy Sci. 94 :3148 3158 doi: 10.3168/jds.2010-4030 American Dairy Science Association, 2011. Whole-genome association study for milk protein composition in dairy cattle G. C. B. Schopen,* 1 M. H. P.

More information

Overview of Animal Breeding

Overview of Animal Breeding Overview of Animal Breeding 1 Required Information Successful animal breeding requires 1. the collection and storage of data on individually identified animals; 2. complete pedigree information about the

More information

Inclusion of direct health traits in the total merit index of Fleckvieh and Brown Swiss cattle in Austria and Germany

Inclusion of direct health traits in the total merit index of Fleckvieh and Brown Swiss cattle in Austria and Germany Inclusion of direct health traits in the total merit index of Fleckvieh and Brown Swiss cattle in Austria and Germany C. Fuerst & C. Egger-Danner ZuchtData EDV-Dienstleistungen GmbH, Dresdner Strasse 89/19,

More information

Use of a Weighted Random Regression Test-Day Model to Better Relate Observed Somatic Cell Score to Mastitis Infection Likelihood

Use of a Weighted Random Regression Test-Day Model to Better Relate Observed Somatic Cell Score to Mastitis Infection Likelihood Use of a Weighted Random Regression Test-Day Model to Better Relate Observed Somatic Cell Score to Mastitis Infection Likelihood N. Gengler 1,2 and P. Mayeres 2 1 National Fund for Scientific Research,

More information

1 Swedish Dairy Association, Uppsala, SWE,; 2 FABA Breeding,

1 Swedish Dairy Association, Uppsala, SWE,; 2 FABA Breeding, Joint Genetic Evaluation of Other Disease Traits in Denmark, Finland and Sweden Kjell Johansson 1, Jukka Pösö 2, Ulrik Sander Nielsen 3, Jan-Åke Eriksson 4 and Gert Pedersen Aamand 5 1 Swedish Dairy Association,

More information

J. Dairy Sci. 95 : doi: /jds American Dairy Science Association, 2012.

J. Dairy Sci. 95 : doi: /jds American Dairy Science Association, 2012. J. Dairy Sci. 95 :450 454 doi:10.3168/jds.011-4581 American Dairy Science Association, 01. Short communication: Effects of β-lactoglobulin, stearoyl-coenzyme A desaturase 1, and sterol regulatory element

More information

Edinburgh Research Explorer

Edinburgh Research Explorer Edinburgh Research Explorer Evaluation of body condition score measured throughout lactation as an indicator of fertility in dairy cattle Citation for published version: Banos, G, Brotherstone, S & Coffey,

More information

Genome-Wide Associations for Progesterone Profiles in Holstein-Friesian Dairy Cows

Genome-Wide Associations for Progesterone Profiles in Holstein-Friesian Dairy Cows Genome-Wide Associations for Progesterone Profiles in Holstein-Friesian Dairy Cows S. Nyman 1, S. Duchemin 1, D.J de Koning 1 and B. Berglund 1 1 Department of Animal Breeding and Genetics, Swedish University

More information

Estimates of genetic parameters and breeding values for New Zealand and Australian Angus cattle

Estimates of genetic parameters and breeding values for New Zealand and Australian Angus cattle Running head : Genetic parameters for Angus Estimates of genetic parameters and breeding values for New Zealand and Australian Angus cattle K. Meyer Animal Genetics and Breeding Unit, University of New

More information

Effect of TMR chemical composition on milk yield lactation curves using a random regression animal model

Effect of TMR chemical composition on milk yield lactation curves using a random regression animal model Effect of TMR chemical composition on milk yield lactation curves using a random regression animal model M. Caccamo 1,2, R. F. Veerkamp 2, R. Petriglieri 1, F. La Terra 1, and G. Licitra 1,3 1 2 3 EAAP

More information

Genetic parameters for major milk proteins in three French dairy cattle breeds

Genetic parameters for major milk proteins in three French dairy cattle breeds Genetic parameters for major milk proteins in three French dairy cattle breeds M. Brochard, M.P. Sanchez, A. Govignon- Gion, M. Ferrand, M. Gelé, D. Pourchet, G. Miranda, P. Martin, D. Boichard Context

More information

Genetic correlation of average somatic cell score at different stages of lactation with milk yield and composition in Holstein cows

Genetic correlation of average somatic cell score at different stages of lactation with milk yield and composition in Holstein cows Genetic correlation of average somatic cell score at different stages of lactation with milk yield and composition in Holstein cows Dadpasand, M. * ; Zamiri, M. J. and Atashi, H. Department of Animal Science,

More information

Prediction of blood β-hydroxybutyrate content in early-lactation New Zealand dairy cows using milk infrared spectra

Prediction of blood β-hydroxybutyrate content in early-lactation New Zealand dairy cows using milk infrared spectra Prediction of blood β-hydroxybutyrate content in early-lactation New Zealand dairy cows using milk infrared spectra V. Bonfatti 1, S.-A. Turner 2, B. Kuhn-Sherlock 2, C. Phyn 2, J. Pryce 3,4 valentina.bonfatti@unipd.it

More information

Factors affecting the serum protein pattern in multi-breed dairy herds

Factors affecting the serum protein pattern in multi-breed dairy herds Factors affecting the serum protein pattern in multi-breed dairy herds T. Bobbo* 1, G. Stocco 1, C. Cipolat-Gotet 1, M. Gianesella 2, E. Fiore 2, M. Morgante 2, G. Bittante 1 and A. Cecchinato 1 1 DAFNAE,

More information

Relationships between estimated breeding values for claw health and production as well as functional traits in dairy cattle

Relationships between estimated breeding values for claw health and production as well as functional traits in dairy cattle Introduction Relationships between estimated breeding values for claw health and production as well as functional traits in dairy cattle H. Alkhoder 1), R. Pijl 2), and H. H. Swalve 1) 1) Institute of

More information

Mating Systems. 1 Mating According to Index Values. 1.1 Positive Assortative Matings

Mating Systems. 1 Mating According to Index Values. 1.1 Positive Assortative Matings Mating Systems After selecting the males and females that will be used to produce the next generation of animals, the next big decision is which males should be mated to which females. Mating decisions

More information

Estimating genetic parameters for fertility in dairy cows from in-line milk progesterone profiles

Estimating genetic parameters for fertility in dairy cows from in-line milk progesterone profiles J. Dairy Sci. 98:5763 5773 http://dx.doi.org/10.3168/jds.2014-8732 American Dairy Science Association, 2015. Estimating genetic parameters for fertility in dairy cows from in-line milk progesterone profiles

More information

PRELIMINARY RESULTS OF BIVARIATE ANALYSIS IN JOINT SLOVENIAN AND CROATIAN EVALUATION FOR MILK TRAITS IN HOLSTEIN BREED

PRELIMINARY RESULTS OF BIVARIATE ANALYSIS IN JOINT SLOVENIAN AND CROATIAN EVALUATION FOR MILK TRAITS IN HOLSTEIN BREED 20 th Int. Symp. Animal Science Days, Kranjska gora, Slovenia, Sept. 19 th 21 st, 2012. COBISS: 1.08 Agris category code: L10 PRELIMINARY RESULTS OF BIVARIATE ANALYSIS IN JOINT SLOVENIAN AND CROATIAN EVALUATION

More information

OVULATION RESULTS FROM CATTLE HERDS WITH HIGH TWINNING FREQUENCY. C.A. MORRIS and A.M. DAY

OVULATION RESULTS FROM CATTLE HERDS WITH HIGH TWINNING FREQUENCY. C.A. MORRIS and A.M. DAY OVULATION RESULTS FROM CATTLE HERDS WITH HIGH TWINNING FREQUENCY C.A. MORRIS and A.M. DAY Ruakura Animal Research Station, Private Bag, Hamilton New Zeal and SUMMARY Ovulation have been collected by ovarian

More information

Session code: C6.12 Abstract No Milk SCC and PMN as indicators of milk processability and subsequent cheese quality

Session code: C6.12 Abstract No Milk SCC and PMN as indicators of milk processability and subsequent cheese quality 54 th EAAP Annual Meeting - Bled, Slovenia, 5-8 September, 2004 Session code: C6.12 Abstract No. 365 Milk SCC and PMN as indicators of milk processability and subsequent cheese quality B. O Brien 1*, B.

More information

Prediction of Son's Modified Contemporary Comparison from Pedigree Information

Prediction of Son's Modified Contemporary Comparison from Pedigree Information Animal Science Publications Animal Science 1981 Prediction of Son's Modified Contemporary Comparison from Pedigree Information Max F. Rothschild Iowa State University, mfrothsc@iastate.edu L. W. Douglass

More information

The Effects of Shortening Dry Period on Colostrum Quality and Holstein Calves Performance J. Amini 1, H. R. Rahmani 1*, and G. R.

The Effects of Shortening Dry Period on Colostrum Quality and Holstein Calves Performance J. Amini 1, H. R. Rahmani 1*, and G. R. The Effects of Shortening Dry Period on Colostrum Quality and Holstein Calves Performance J. Amini 1, H. R. Rahmani 1*, and G. R. Ghorbani 1 1 Dept. of Animal Sciences, College of Agriculture, Isfahan

More information

Genetic evaluation of mastitis in France

Genetic evaluation of mastitis in France Genetic evaluation of mastitis in France Armelle Govignon-Gion, Romain Dassonneville, Guillaume Baloche, Vincent Ducrocq INRA, UMR 1313 Animal Genetics and Integrative Biology Jouy-en-Josas, France Economic

More information

Manal M. El-Bramony, Buffalo Breeding Research Department, Animal Production Research Institute,

Manal M. El-Bramony, Buffalo Breeding Research Department, Animal Production Research Institute, International Journal of Genetics 7(2): 46-52, 2017 ISSN 2222-1301 IDOSI Publications, 2017 DOI: 10.5829/idosi.ijg.2017.46.52 Variation in Milk Composition Traits Associated with Polymorphisms in Kappa-Casein

More information

The production complexity of a complex fluid

The production complexity of a complex fluid The production complexity of a complex fluid Gil Katz 1, Uzi Merin 2, Gabriel Leitner 3 1 S.A.E. Afikim, Israel 2 A.R.O., The Volcani Center, Israel 3 Kimron Veterinary Institute, Israel Outline Introduction

More information

Milk Components. What s in this Stuff

Milk Components. What s in this Stuff Milk Components What s in this Stuff Milk Components Water - 87.0 % Butterfat - 3.7 % Protein - 3.0 % Lactose - 5.0 % Minerals and Other Solids - 1.3% Milk Components Solids -not - fat (SNF) - includes

More information

Evaluation of Models to Estimate Urinary Nitrogen and Expected Milk Urea Nitrogen 1

Evaluation of Models to Estimate Urinary Nitrogen and Expected Milk Urea Nitrogen 1 J. Dairy Sci. 85:227 233 American Dairy Science Association, 2002. Evaluation of Models to Estimate Urinary Nitrogen and Expected Milk Urea Nitrogen 1 R. A. Kohn, K. F. Kalscheur, 2 and E. Russek-Cohen

More information

Genetic aspects of milk β-hydroxybutyrate in Italian Holstein cows

Genetic aspects of milk β-hydroxybutyrate in Italian Holstein cows Genetic aspects of milk β-hydroxybutyrate in Italian Holstein cows A. Benedet 1, A. Costa 1, M. Penasa 1, M. Cassandro 1, R. Finocchiaro 2, M. Marusi 2, R. Negrini 3, M. De Marchi 1 1 Department of Agronomy,

More information

Genetic parameters for a multiple-trait linear model conception rate evaluation

Genetic parameters for a multiple-trait linear model conception rate evaluation Genetic parameters for a multiple-trait linear model conception rate evaluation K. Muuttoranta 1, A-M. Tyrisevä 1, E.A. Mäntysaari 1, J.Pösö 2, G.P. Aamand 3, J-Å. Eriksson 4, U.S. Nielsen 5 and M. H.

More information

Genetic parameters for a multiple-trait linear model conception rate evaluation

Genetic parameters for a multiple-trait linear model conception rate evaluation Genetic parameters for a multiple-trait linear model conception rate evaluation K. Muuttoranta 1, A-M. Tyrisevä 1, E.A. Mäntysaari 1, J.Pösö 2, G.P. Aamand 3, J-Å. Eriksson 4, U.S. Nielsen 5 and M. H.

More information

Multiple Trait Random Regression Test Day Model for Production Traits

Multiple Trait Random Regression Test Day Model for Production Traits Multiple Trait Random Regression Test Da Model for Production Traits J. Jamrozik 1,2, L.R. Schaeffer 1, Z. Liu 2 and G. Jansen 2 1 Centre for Genetic Improvement of Livestock, Department of Animal and

More information

New Applications of Conformation Trait Data for Dairy Cow Improvement

New Applications of Conformation Trait Data for Dairy Cow Improvement New Applications of Conformation Trait Data for Dairy Cow Improvement T.J. Lawlor 1, J. Connor 1, S. Tsuruta 2 and I. Misztal 2 1 Holstein Association USA Inc., 1 Holstein Place, Brattleboro, VT, USA 05301-0808

More information

Feed efficiency and Genetics

Feed efficiency and Genetics Feed efficiency and Genetics Martin Lidauer Organic and low-input dairying an option to Northern European Dairy Sector? 27-28 October 2015, Hotel Arthur, Helsinki, Finland Outline Overview Challenges in

More information

Association between milk protein polymorphism and milk production traits in Black and White dairy cattle in Turkey

Association between milk protein polymorphism and milk production traits in Black and White dairy cattle in Turkey African Journal of Biotechnology Vol. 10(6), pp. 1044-1048, 7 February, 2011 Available online at http://www.academicjournals.org/ajb DOI: 10.5897/AJB10.1385 ISSN 1684 5315 2011 Academic Journals Full Length

More information

PHENOTIPIC CORRELATIONS AMONG COUPLE OF CHARACTERS IN DAIRY ROMANIAN BLACK SPOTTED BREED FROM PESTREŞTI-ALBA FARM

PHENOTIPIC CORRELATIONS AMONG COUPLE OF CHARACTERS IN DAIRY ROMANIAN BLACK SPOTTED BREED FROM PESTREŞTI-ALBA FARM Lucrări ştiinńifice Zootehnie şi Biotehnologii, vol. 41 (2) (8), Timişoara PHENOTIPIC CORRELATIONS AMONG COUPLE OF CHARACTERS IN DAIRY ROMANIAN BLACK SPOTTED BREED FROM PESTREŞTI-ALBA FARM CORELAłIILE

More information

Genetic and phenotypic analysis of daily Israeli Holstein milk, fat, and protein production as determined by a real-time milk analyzer

Genetic and phenotypic analysis of daily Israeli Holstein milk, fat, and protein production as determined by a real-time milk analyzer J. Dairy Sci. 99:1 14 http://dx.doi.org/10.3168/jds.2016-11155 American Dairy Science Association, 2016. Genetic and phenotypic analysis of daily Israeli Holstein milk, fat, and protein production as determined

More information

Predicting Energy Balance Status of Holstein Cows using Mid-Infrared Spectral Data

Predicting Energy Balance Status of Holstein Cows using Mid-Infrared Spectral Data Predicting Energy Balance Status of Holstein Cows using Mid-Infrared Spectral Data Sinéad Mc Parland, G.Banos, E.Wall, M.P.Coffey, H.Soyeurt, R.F.Veerkamp & D.P.Berry Introduction Energy balance (output-input)

More information

Genetic parameters for M. longissimus depth, fat depth and carcass fleshiness and fatness in Danish Texel and Shropshire

Genetic parameters for M. longissimus depth, fat depth and carcass fleshiness and fatness in Danish Texel and Shropshire 58th Annual Meeting of the European Association for Animal Production in Dublin, Ireland Session 25.5, Abstract 444 Genetic parameters for M. longissimus depth, fat depth and carcass fleshiness and fatness

More information

Genotype by environment interactions between pig populations in Australia and Indonesia

Genotype by environment interactions between pig populations in Australia and Indonesia Genotype by environment interactions between pig populations in Australia and Indonesia Tiffany Mote 1, Susanne Hermesch 1 and Julius van der Werf 2 1 Animal Genetic and Breeding Unit; 2 Department of

More information

THE UNIVERSITY OF READING DEPARTMENT OF FOOD AND NUTRITIONAL SCIENCES, SCHOOL OF CHEMISTRY, FOOD AND PHARMACY

THE UNIVERSITY OF READING DEPARTMENT OF FOOD AND NUTRITIONAL SCIENCES, SCHOOL OF CHEMISTRY, FOOD AND PHARMACY THE UNIVERSITY OF READING DEPARTMENT OF FOOD AND NUTRITIONAL SCIENCES, SCHOOL OF CHEMISTRY, FOOD AND PHARMACY JERSEY MILK SUITABILITY FOR CHEDDAR CHEESE PRODUCTION: PROCESS, YIELD, QUALITY AND FINANCIAL

More information

Inferring relationships between health and fertility in Norwegian Red cows using recursive models

Inferring relationships between health and fertility in Norwegian Red cows using recursive models Corresponding author: Bjørg Heringstad, e-mail: bjorg.heringstad@umb.no Inferring relationships between health and fertility in Norwegian Red cows using recursive models Bjørg Heringstad, 1,2 Xiao-Lin

More information

Prediction of Breeding Value Using Bivariate Animal Model for Repeated and Single Records

Prediction of Breeding Value Using Bivariate Animal Model for Repeated and Single Records Journal of Animal Research: v.5 n.2, p. 311-315. June 2015 DOI Number: 10.5958/2277-940X.2015.00053.4 Prediction of Breeding Value Using Bivariate Animal Model for Repeated and Records Shakti Kant Dash

More information

Response to Modified Live and Killed Multivalent Viral Vaccine in Regularly Vaccinated, Fresh Dairy Cows*

Response to Modified Live and Killed Multivalent Viral Vaccine in Regularly Vaccinated, Fresh Dairy Cows* E. J. Dubovi, Y. T. Gröhn, M. A. Brunner, and J. A. Hertl Response to Modified Live and Killed Multivalent Viral Vaccine in Regularly Vaccinated, Fresh Dairy Cows* Edward J. Dubovi, PhD a Yrjo T. Gröhn,

More information

Evaluation of Pfizer Animal Genetics HD 50K MVP Calibration

Evaluation of Pfizer Animal Genetics HD 50K MVP Calibration Evaluation of Pfizer Animal Genetics HD 50K MVP Calibration Johnston D.J.*, Jeyaruban M.G. and Graser H.-U. Animal Genetics and Breeding Unit 1, University of New England, Armidale, NSW, 2351, Australia

More information

DESCRIPTION OF BEEF NATIONAL GENETIC EVALUATION SYSTEM

DESCRIPTION OF BEEF NATIONAL GENETIC EVALUATION SYSTEM Status as of: 14.07.2010 Form BEEF DESCRIPTION OF BEEF NATIONAL GENETIC EVALUATION SYSTEM Country (or countries): Denmark Trait name: Calving Ease DATA COLLECTION Breed(s) Limousine and Charolais Trait

More information

Giovanni Bittante: ISI publications

Giovanni Bittante: ISI publications Giovanni Bittante: ISI publications 2009-2014 Bazzoli, I., M. De Marchi, A. Cecchinato, D.P. Berry, and G. Bittante. 2014. Factors associated with age at slaughter and carcass weight, price, and value

More information

Evaluation of Classifiers that Score Linear Type Traits and Body Condition Score Using Common Sires

Evaluation of Classifiers that Score Linear Type Traits and Body Condition Score Using Common Sires J. Dairy Sci. 85:976 983 American Dairy Science Association, 2002. Evaluation of Classifiers that Score Linear Type Traits and Body Condition Score Using Common Sires R. F. Veerkamp,* C. L. M. Gerritsen,*

More information

Update on global collaborative research in the area of genetics of feed efficiency

Update on global collaborative research in the area of genetics of feed efficiency Update on global collaborative research in the area of genetics of feed efficiency Yvette de Haas, Roel Veerkamp, Jennie Pryce What is missing to breed on feed efficiency? Feed intake records on daughters

More information

BREEDING, SELECTION AND SOMATIC CELL COUNTS: WHERE ARE WE TODAY? George Shook Dairy Science Department University of Wisconsin Madison, Wisconsin

BREEDING, SELECTION AND SOMATIC CELL COUNTS: WHERE ARE WE TODAY? George Shook Dairy Science Department University of Wisconsin Madison, Wisconsin BREEDING, SELECTION AND SOMATIC CELL COUNTS: WHERE ARE WE TODAY? George Shook Dairy Science Department University of Wisconsin Madison, Wisconsin Genetics can help prevent mastitis and reduce somatic cell

More information

Genetic Correlations among Health Traits in Different Lactations

Genetic Correlations among Health Traits in Different Lactations Genetic Correlations among Health Traits in Different Lactations Ulrik Sander Nielsen 1, Gert Aamand Pedersen 1, Jørn Pedersen 1 and Just Jensen 1 The Danish Agricultural Advisory Centre, Udkaersvej 15,

More information

Milk protein profile: measure from mid infrared spectra and identification of influence factors

Milk protein profile: measure from mid infrared spectra and identification of influence factors EAAP 2016, Belfast, 1 Sept. 2016 Milk protein profile: measure from mid infrared spectra and identification of influence factors Session 71 «Milk and meat quality highlighting knowledge gaps in the supply

More information

Heritability Estimates for Conformation Traits in the Holstein Breed Gladys Huapaya and Gerrit Kistemaker Canadian Dairy Network

Heritability Estimates for Conformation Traits in the Holstein Breed Gladys Huapaya and Gerrit Kistemaker Canadian Dairy Network Heritability Estimates for Conformation Traits in the Holstein Breed Gladys Huapaya and Gerrit Kistemaker Canadian Dairy Network Introduction The classification system used in Canada has received a major

More information

Milk Protein. Item Average milk composition % Water Lactose 4.90 Fat 3.70 True Protein 3.00 Crude Protein 3.10 Casein 2.60 Ash.80 Other.

Milk Protein. Item Average milk composition % Water Lactose 4.90 Fat 3.70 True Protein 3.00 Crude Protein 3.10 Casein 2.60 Ash.80 Other. Milk Protein As component pricing based on solids not fat and/or protein becomes more a standard in the industry, production of milk components, particularly protein, will receive more emphasis. In addtion,

More information

Genetic parameters for daily milk somatic cell score and relationships with yield traits of primiparous Holstein cattle in Iran

Genetic parameters for daily milk somatic cell score and relationships with yield traits of primiparous Holstein cattle in Iran Kheirabadi and Razmkabir Journal of Animal Science and Technology (2016) 58:38 DOI 10.1186/s40781-016-0121-5 RESEARCH Genetic parameters for daily milk somatic cell score and relationships with yield traits

More information

Possibilities to improve the genetic evaluation of a rare breed using limited genomic information and multivariate BLUP

Possibilities to improve the genetic evaluation of a rare breed using limited genomic information and multivariate BLUP Animal (2014), 8:5, pp 685 694 The Animal Consortium 2014. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike

More information

On-line sensing of suitability of milk for cheese making

On-line sensing of suitability of milk for cheese making On-line sensing of suitability of milk for cheese making Dr. Gabriel Leitner National Mastitis Reference Center, Kimron Veterinary Institute, Israel Dr. Uzi Merin, Dr. Nissim Silanikove Department of Food

More information

Selection against null-alleles in CNS1S1 will efficiently reduce the level of free fatty acids in Norwegian goat milk

Selection against null-alleles in CNS1S1 will efficiently reduce the level of free fatty acids in Norwegian goat milk Selection against null-alleles in CNS1S1 will efficiently reduce the level of free fatty acids in Norwegian goat milk Thor Blichfeldt 1), Inger Anne Boman 1) and Helga Kvamsås 2) 1) The Norwegian Association

More information

Holstein-Friesian vs 3-breed crossbred dairy cows within a low and moderate concentrate input system

Holstein-Friesian vs 3-breed crossbred dairy cows within a low and moderate concentrate input system Holstein-Friesian vs 3-breed crossbred dairy cows within a low and moderate concentrate system Conrad Ferris 1, Peter Purcell 1, Alan Gordon 1, Torben Larsen 2 and Mogens Vestergaard 2 1 Agri-Food and

More information

Beef Cattle Handbook

Beef Cattle Handbook Beef Cattle Handbook BCH-1400 Product of Extension Beef Cattle Resource Committee The Genetic Principles of Crossbreeding David S. Buchanan, Oklahoma State University Sally L. Northcutt, Oklahoma State

More information

Transgenic Animals and Lactation

Transgenic Animals and Lactation Transgenic Animals and Lactation Application of transgenic technology to lactation Introduce new proteins to give specific changes Animal growth & health Bacteria levels Processing properties Fat content/type

More information

1950s 1 st calf from surgical ET Frozen semen LN 2

1950s 1 st calf from surgical ET Frozen semen LN 2 1 Fertility and Reproduction Advances 1950s 1 st calf from surgical ET Frozen semen LN 2 Progestins used to synchronize estrus 2 Fertility and Reproduction Advances 1950s 1 st calf from surgical ET Frozen

More information

Breeding for Increased Protein Content in Milk

Breeding for Increased Protein Content in Milk University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Faculty Papers and Publications in Animal Science Animal Science Department January 1978 Breeding for Increased Protein

More information

Swiss Brown Swiss in different environments: Does GxE play an important role? Beat Bapst Qualitas AG, Switzerland

Swiss Brown Swiss in different environments: Does GxE play an important role? Beat Bapst Qualitas AG, Switzerland Swiss Brown Swiss in different environments: Does GxE play an important role? Beat Bapst Qualitas AG, Switzerland 07.04.2016 World Brown Swiss Congress, Mende Introduction/Background Brown Swiss Dairy

More information

The Efficiency of Mapping of Quantitative Trait Loci using Cofactor Analysis

The Efficiency of Mapping of Quantitative Trait Loci using Cofactor Analysis The Efficiency of Mapping of Quantitative Trait Loci using Cofactor G. Sahana 1, D.J. de Koning 2, B. Guldbrandtsen 1, P. Sorensen 1 and M.S. Lund 1 1 Danish Institute of Agricultural Sciences, Department

More information

Juvenile IGF-I: an update

Juvenile IGF-I: an update Juvenile IGF-I: an update Kim Bunter and Uwe Wuensch Animal Genetics and Breeding Unit (AGBU), a joint venture of NSW Agriculture and the University of New England, University of New England, Armidale,

More information

Consequences of selection for lean growth and prolificacy on piglet survival and sow attribute traits

Consequences of selection for lean growth and prolificacy on piglet survival and sow attribute traits Consequences of selection for lean growth and prolificacy on piglet survival and sow attribute traits Susanne Hermesch Animal Genetics and Breeding Unit (AGBU), University of New England, Armidale, NSW,

More information

Genomic predictions for dry matter intake using the international reference population of gdmi

Genomic predictions for dry matter intake using the international reference population of gdmi Genomic predictions for dry matter intake using the international reference population of gdmi Yvette de Haas and gdmi consortium Breeding for feed efficiency is gaining importance! What is missing to

More information

Validation of genomic and genetic evaluations in 305d production traits of Nordic Holstein cattle

Validation of genomic and genetic evaluations in 305d production traits of Nordic Holstein cattle Validation of genomic and genetic evaluations in 305d production traits of Nordic Holstein cattle M. Koivula, I. Strandén, G. P. Aamand and E. A. Mäntysaari* Biometrical Genetics, Luke, Finland NAV, Denmark

More information

GROWTH PERFORMANCE OF THREE-BREED CROSSES OF HOLSTEIN FRIESIAN, BROWN SWISS AND HARIANA CATTLE *

GROWTH PERFORMANCE OF THREE-BREED CROSSES OF HOLSTEIN FRIESIAN, BROWN SWISS AND HARIANA CATTLE * Indian J. Anim. Res., 41 (4) : 244-249, 2007 GROWTH PERFORMANCE OF THREE-BREED CROSSES OF HOLSTEIN FRIESIAN, BROWN SWISS AND HARIANA CATTLE * S. Bindu Madhuri, C.L. Suman and H.S. Pandey Livestock Production

More information

The Pennsylvania State University. The Graduate School. College of Agricultural Sciences GENETIC EVALUATION OF BROWN SWISS CATTLE IN THE UNITED STATES

The Pennsylvania State University. The Graduate School. College of Agricultural Sciences GENETIC EVALUATION OF BROWN SWISS CATTLE IN THE UNITED STATES The Pennsylvania State University The Graduate School College of Agricultural Sciences GENETIC EVALUATION OF BROWN SWISS CATTLE IN THE UNITED STATES A Thesis in Animal Science by Keith Gibson 2015 Keith

More information

Bioenergetic factors affecting conception rate in Holstein Friesian cows

Bioenergetic factors affecting conception rate in Holstein Friesian cows Bioenergetic factors affecting conception rate in Holstein Friesian cows J. Patton, 2*, D. Kenny 2, J.F. Mee, F.P. O Mara 2 and J.J. Murphy Teagasc, Dairy Production Research Centre, Moorepark, Fermoy,

More information

CROSSBREEDING EFFECTS FOR CARCASS, TISSUES COMPOSITION AND MEAT QUALITY TRAITS IN A CROSSING PROJECT OF V-LINE WITH SAUDI GABALI RABBITS

CROSSBREEDING EFFECTS FOR CARCASS, TISSUES COMPOSITION AND MEAT QUALITY TRAITS IN A CROSSING PROJECT OF V-LINE WITH SAUDI GABALI RABBITS Genetics CROSSBREEDING EFFECTS FOR CARCASS, TISSUES COMPOSITION AND MEAT QUALITY TRAITS IN A CROSSING PROJECT OF V-LINE WITH SAUDI GABALI RABBITS Al-Saef A.M. 1, Khalil M.H. 1 *, Al-Dobaib S.N. 1, García

More information

2010 Dairy Jeopardy Practice Questions

2010 Dairy Jeopardy Practice Questions 2010 Dairy Jeopardy Practice Questions 1. Body part that has cylindrical shape and should be uniform in size. What is teats 2. Organ that secretes digestive enzymes into the small intestine. What is pancreas

More information

SEVERAL studies have reported genotype-by-environment

SEVERAL studies have reported genotype-by-environment Copyright Ó 2008 by the Genetics Society of America DOI: 10.1534/genetics.107.084483 Quantitative Trait Locus-by-Environment Interaction for Milk Yield Traits on Bos taurus Autosome 6 Marie Lillehammer,*,1

More information

Effects of Encapsulated Niacin on Metabolism and Production of Periparturient Holstein Cows

Effects of Encapsulated Niacin on Metabolism and Production of Periparturient Holstein Cows Effects of Encapsulated Niacin on Metabolism and Production of Periparturient Holstein Cows S. D. Morey, B. J. Bradford, L. K. Mamedova, and D. E. Anderson Summary Niacin (nicotinic acid) can suppress

More information

From genetic to phenotypic trends

From genetic to phenotypic trends From genetic to phenotypic trends Susanne Hermesch Animal Genetics and Breeding Unit, University of New England, Armidale, NSW 2351 Optimal improvement of performance The performance of pigs is influenced

More information

Genetic Evaluation for Resistance to Metabolic Diseases in Canadian Dairy Breeds

Genetic Evaluation for Resistance to Metabolic Diseases in Canadian Dairy Breeds Genetic Evaluation for Resistance to Metabolic Diseases in Canadian Dairy Breeds J. Jamrozik 1,2, G.J. Kistemaker 1, B.J. Van Doormaal 1, A. Fleming 2, A. Koeck 2 and F. Miglior 1,2 1 Canadian Dairy Network,

More information

Session C6.9, Abstract no.282, Poster presentation Effects of dietary herb supplements for cows on milk yield and technological quality of milk

Session C6.9, Abstract no.282, Poster presentation Effects of dietary herb supplements for cows on milk yield and technological quality of milk Session C6.9, Abstract no.282, Poster presentation Effects of dietary herb supplements for cows on milk yield and technological quality of milk Summary J. Kraszewski, J. A. Strzetelski, B. Niwińska Research

More information

PRODUCTIVE TRAITS OF BROWN SWISS CATTLE BREED IN MONTENEGRO

PRODUCTIVE TRAITS OF BROWN SWISS CATTLE BREED IN MONTENEGRO International Conference: Sustainable development of mountain areas - Experiences, challenges and perspectives - Žabljak, September 14-16, 2016 Montenegro PRODUCTIVE TRAITS OF BROWN SWISS CATTLE BREED

More information

Genetic parameters for type and functional traits in the French Holstein breed

Genetic parameters for type and functional traits in the French Holstein breed Genetic parameters for type and functional traits in the French Holstein breed Hélène Larroque 1, Rachel Rupp 1, Sophie Moureaux 2, Didier Boichard 1 and Vincent Ducrocq 1 1- Institut National de la Recherche

More information