The effect of lucerne (Medicago sativa) hay quality on milk production and composition of Jersey cows

Similar documents
HIGH FIBRE CONCENTRATES FOR COWS ON PASTURE

Supplementation of High Corn Silage Diets for Dairy Cows. R. D. Shaver Professor and Extension Dairy Nutritionist

TRANSITION COW NUTRITION AND MANAGEMENT. J.E. Shirley

Protein and Carbohydrate Utilization by Lactating Dairy Cows 1

Effects of Varying Rates of Tallgrass Prairie Hay and Wet Corn Gluten Feed on Productivity of Dairy Cows

Understanding Dairy Nutrition Terminology

Effective Practices In Sheep Production Series

Fiber for Dairy Cows

THIS ARTICLE IS SPONSORED BY THE MINNESOTA DAIRY HEALTH CONFERENCE.

DIET DIGESTIBILITY AND RUMEN TRAITS IN RESPONSE TO FEEDING WET CORN GLUTEN FEED AND A PELLET CONSISTING OF RAW SOYBEAN HULLS AND CORN STEEP LIQUOR

DAIRY FOCUS AT ILLINOIS NEWSLETTER. Focus on Forages Volume 2, Number 1

Introduction. Use of undf240 as a benchmarking tool. Relationships between undigested and physically effective fiber in lactating dairy cows

A Comparison of MIN-AD to MgO and Limestone in Peripartum Nutrition

COMPLETE LACTATIONAL PERFORMANCE OF COWS FED WET CORN GLUTEN FEED AND PELLET CONSISTING OF RAW SOYBEAN HULLS AND CORN STEEP LIQUOR

Making Forage Analysis Work for You in Balancing Livestock Rations and Marketing Hay

Using Feed Analysis to Troubleshoot Nutritional Problems in Dairy Herds 1

Pure rumen conditioning with bio-available minerals

The Effects of Feeding MIN-AD and Sodium Bicarbonate on Early Lactation Performance of Dairy Cattle

The Effect of MIN-AD on Performance and Health in Early Lactation Dairy Cows

Nonstructural and Structural Carbohydrates in Dairy Cattle Rations 1

EFFECTS OF FOUR SOYBEAN MEAL PRODUCTS ON LACTATIONAL PERFORMANCE OF DAIRY COWS. M. S. Awawdeh, E. C. Titgemeyer, J. S. Drouillard, and J. E.

ESTIMATING THE ENERGY VALUE OF CORN SILAGE AND OTHER FORAGES. P.H. Robinson 1 ABSTRACT INTRODUCTION

Beef Cattle Handbook

MANAGING THE DAIRY COW DURING THE DRY PERIOD

Quick Start. Cornell Net Carbohydrate and Protein System for Sheep

Applied Beef Nutrition Ration Formulation Short Course. Beef Ration and Nutrition Decision Software

Managing Mixing Wagons for Performance and Health

The Nutritionist 2019

INCLUSION OF FAT IN DIETS FOR EARLY LACTATING HOLSTEIN COWS. J. E. Shirley and M. E. Scheffel

FEEDING DAIRY COWS 3. FORAGE PARTICLE SIZE AND EFFECTIVE FIBRE

FACTORS AFFECTING MANURE EXCRETION BY DAIRY COWS 1

Efficient rumen conditioning for optimum productivity

Feeding Strategies When Alfalfa Supplies are Short

Supplement Types - Energy. ME Fixed? What is Metabolisable Energy? Feeding Supplements & Practical Ration Balancing. Dr Julian Waters 3/1/16

Know Your Feed Terms. When you are talking nutrition and feeds with your

Evaluating particle size of forages and TMRs using the Penn State Particle Size Separator

Fibre is complicated! NDFD, undfom in forage analysis reports NDF. Review. NDF is meant to measure Hemicellulose Celluose Lignin

Alternative protein supplementation. Roberto D. Sainz, Phd Animal Science Dept. UC Davis

ULTRA HIGH TEMPERATURE (UHT) TREATMENT EFFECT ON IODINE FORTIFIED MILK THROUGH COW FEED

Reproductive efficiency Environment 120 Low P ( ) High P ( ) ays

What did we learn about shredlage? Sally Flis, Ph.D. Feed and Crop Support Specialist, Dairy One. Project Summary

Using Models on Dairy Farms How Well Do They Work? Larry E. Chase, Ph. D. Cornell University

Chapter-6 Feed formulation - nutrients requirement for different category of dairy animals, balanced/complete ration, methods of feed formulation

(Equation 1) (Equation 2) (Equation 3)

Sheep Feeding Programs: Forage and Feed Analysis

Effect of Feeding Dried Distiller s Grains Plus Solubles on Milk Yield and its Composition in Dairy Cattle

C hewing and ruminating with

Matching Hay to the Cow s Requirement Based on Forage Test

Ensiling characteristics of rice whole stillage inoculated with or without Amylomyces rouxii

Yeast Product Supplementation Influences Feeding Behavior and Measures of Immune Function in Transition Dairy Cows

HAY QUALITY EVALUATION

Recent Applications of Liquid Supplements in Dairy Rations

PROCEDURES: Spruce Haven Farm and Research Center, Auburn, NY.

Nutrient Requirements of Beef Cattle E-974

Nutritive Value of Feeds

COMPARATIVE FEED VALUE OF WHOLE PLANT CORN PRE AND POST GRAZING. October 17, 2012

Fundamentals of Ration Balancing for Beef Cattle Part II: Nutrient Terminology

Feedstuff NE l content calculation 5 steps : STEP 1

INTERPRETING FORAGE QUALITY TEST REPORTS

Effects of ratios of non-fibre carbohydrates to rumen degradable protein in diets of Holstein cows: 1. Feed intake, digestibility and milk production

Productive And Reproductive Performance Of Friesian Cows Under Different Feeding System

COOPERATIVE EXTENSION UNIVERSITY OF CALIFORNIA, DAVIS. Neutral Detergent Fiber (NDF) and its Role in Alfalfa Analysis

As Sampled Basis nutrient results for the sample in its natural state including the water. Also known as as fed or as received.

The four stomachs of a dairy cow

Supplemental Rumen-Protected Choline and Methionine for Lactating Dairy Cows. J. Engel, M.L. Eastridge, and C.V.D.M. Ribeiro

Abstract. Keywords: Tropical grasses, Degradability, Nutrient, Rumen fermentation. Introduction. Chaowarit Mapato a* and Metha Wanapat a

SUPPLEMENTAL DEGRADABLE PROTEIN REQUIREMENT FOR CATTLE FED STOCKPILED BERMUDAGRASS FORAGE. Authors:

EFFECTS OF FORAGES AND TOTAL MIXED RATIONS PARTICLE SIZE ON PHYSICAL EFFECTIVENESS AND CHEWING ACTIVITY OF LACTATING COWS

Feed Management to Improve Nitrogen and Phosphorus Efficiency. Charles C. Stallings Professor and Extension Dairy Scientist Virginia Tech

Results of UW Madison Corn Shredlage Feeding Trial

Lesson 3 Understanding Nutrients and Their Importance

EFFECTS OF FEEDING WHOLE COTTONSEED COATED WITH STARCH, UREA, OR YEAST ON PERFORMANCE OF LACTATING DAIRY COWS

NEW/EMERGING MEASUREMENTS FOR FORAGE QUALITY. Dan Putnam 1 ABSTRACT

P. Namanee, S. Kuprasert and W. Ngampongsai. Abstract

Normand St-Pierre The Ohio State University. Copyright 2011 Normand St-Pierre, The Ohio State University

CHAMPION TOC INDEX. Protein Requirements of Feedlot Cattle. E. K. Okine, G. W. Mathison and R. R. Corbett. Take Home Message

Effect Of Dietary Incorporation Of Ksheerabala Residue On Dry Matter Intake And Nutrient Digestibility In Crossbred Calves

Forage Testing and Supplementation

URGENT NEWS. Grass Silage Update No 144: Grass Silage Update /2011. Fermentation quality and intake characteristics

Nitrogen, Ammonia Emissions and the Dairy Cow

Effects of increasing the energy density of a lactating ewe diet by replacing grass hay with soybean hulls and dried distillers grains with solubles 1

SUBSTITUTING STEAM-FLAKED CORN WITH DISTILLER S GRAINS ALTERS RUMINAL FERMENTATION AND DIET DIGESTIBILITY

FEEDING SHEEP FOR PROF$T

FEEDING VALUE OF WET DISTILLERS GRAINS FOR LACTATING DAIRY COWS WHEN CO-ENSILED WITH CORN SILAGE OR HAYCROP SILAGE

Heidi Rossow, PhD UC Davis School Of Veterinary Medicine, VMTRC Tulare, CA. Interpreting Forage Quality from the Cows Perspective

Cows Fed Availa 4 Produce More Milk, Show Better Reproductive Performance

COPING WITH HIGH CORN PRICES: LOW STARCH DIETS AND LACTATION PERFORMANCE BY DAIRY COWS

Nutritional Management of Dairy Cows During the Transition Period

FEEDING and MANAGEMENT OF DAMASCUS GOATS CYPRUS EXPERIENCE By Miltiades Hadjipanayiotou

Prospects of Palm Kernel Cake. use in Cattle Feed

Study Report Effects of Corn Distillers Dried Grains with Solubles (DDGS) Under Hot Summer Conditions in Lactating Dairy Cows

BENCHMARKING FORAGE NUTRIENT COMPOSITION AND DIGESTIBILITY. R. D. Shaver, Ph.D., PAS

THE NATIONAL ACADEMIES

CHANGES IN RUMINAL MICROBIAL POPULATIONS IN TRANSITION DAIRY COWS

Effects of Increased Inclusion of Algae Meal on Lamb Total Tract Digestibility

Effects of a sequential offer of hay and TMR on feeding and rumination behaviour of dairy cows

Pure rumen conditioning with bio-available minerals

ALMLM HAY QUALITY: TERMS AND DEFIN"IONS

Today s Discussion. Transition Period. Effects of Problems At Parturition on Performance. The problems with primiparous heifers are..

Processing, Mixing, and Particle Size Reduction of Forages for Dairy Cattle 1

Transcription:

South African Journal of Animal Science 2014, 44 (Issue 5, Supplement 1) Peer-reviewed paper: Proc. 46th Congress of the South African Society for Animal Science The effect of lucerne (Medicago sativa) hay quality on milk production and composition of Jersey cows M. van Zyl 1,2#, R. Meeske 1, G.D.J. Scholtz 2 & O.B. Einkamerer 2 1 Department of Agriculture, Western Cape, Outeniqua Research Farm, P.O. Box 249, George 6530, South Africa; 2 2 Department of Animal, Wildlife and Grassland Sciences, Faculty of Natural and Agricultural Sciences, University of the Free State, P.O. Box 339, Bloemfontein 9300, South Africa (Received 4 January 2014; Accepted 5 June 2014; First published online 23 August 2014) Copyright resides with the authors in terms of the Creative Commons Attribution 2.5 South African Licence. See: http://creativecommons.org/licenses/by/2.5/za Condition of use: The user may copy, distribute, transmit and adapt the work, but must recognise the authors and the South African Journal of Animal Science. Abstract The influence of lucerne hay quality on the milk production potential and milk composition of Jersey cows was investigated. Three different grades of lucerne hay (Prime, Grade 1, Grade 2; selected according to the New Lucerne Quality Index) were included in a total mixed ration (TMR) and fed to lactating cows. The three dietary treatments consisted of the same basal diet (53% lucerne hay, 7% wheat straw and 40% concentrate), differing only with respect to the lucerne hay quality. Fifty-seven lactating Jersey cows (389 ± 39.07 kg) were selected and blocked according to production potential (milk production, days in lactation, as well as lactation number) and randomly allocated to each of the dietary treatments (n = 19 animals per treatment). After a dietary adaptation period of 14 days, each treatment received their respective diets for the remaining period of 54 days. Average dry matter intake (DMI) and individual milk production was measured on a daily basis and production parameters were calculated accordingly. Milk composition samples were collected every second week. Grade 2 lucerne hay significantly decreased the voluntary DMI of the cows. However, the Prime lucerne hay significantly increased the metabolizable energy intake (MEI), as well as both the protein and milk urea nitrogen (MUN) content of the Jersey milk, compared to the Grade 1 and Grade 2 treatments. In contrast, the efficiency with which ME is utilized for milk production was significantly decreased following Prime lucerne hay inclusion. Milk yield as such was not affected by dietary treatment. Results of the present study seem to indicate that lucerne hay quality does affect the production performance, milk composition and efficiency of energy utilized for milk production purposes of Jersey cows. Keywords: Dairy, index, lactation, nutrient, performance, roughage, TMR # Corresponding author: marikevz7@gmail.com Introduction Roughage quality is a major challenge for lucerne hay producers. The demand for high quality lucerne hay as a primary roughage source for the dairy industry has grown significantly since the 1970 s, due to the fact that the milk production potential of dairy herds has increased considerably. These high-producing cows generally have a restricted rumen capacity and require roughage of excellent nutrient content, which is often highly digestible and palatable. Lucerne hay (Medicago sativa) is such a typical high quality roughage source and therefore its demand has increased (Orloff & Putnam, 2007). Roughage quality can be evaluated by its palatability (voluntary intake), apparent digestibility, nutrient content and anti-nutritional factors (Lemus, 2009). Although the voluntary intake of roughage is one estimate of its quality, the chemical composition is closer related to its digestibility than voluntary intake (Van Soest, 1965). Nutritionists agree that roughages with a high digestible energy and protein content, compared to lower quality roughages, could result in an increased intake potential, with a resultant favourable animal production and milk composition (Orloff & Putnam, 2007). Scholtz et al. (2009) evaluated different parameters used to assess lucerne hay quality and found large differences in the accuracy of the predictions. Assessment was performed by evaluating the milk yield of the dairy herds. It was found that within these diets, the acid detergent fibre (ADF) content of lucerne hay, as the primary roughage source, was the best parameter to predict potential milk yield. Therefore, by including ADF, ash and lignin in a multiple linear regression equation, Scholtz et al. (2009) found that the accuracy of milk yield prediction improved remarkably. It was further concluded that protein is a poor URL: http://www.sasas.co.za ISSN 0375-1589 (print), ISSN 2221-4062 (online) Publisher: South African Society for Animal Science Guest editor: J.P.C. Greyling http://dx.doi.org/10.4314/sajas.v44i5.6

S26 Van Zyl et al., 2014. S. Afr. J. Anim. Sci. vol. 44 indicator of milk yield hence the protein content of lucerne hay may not be a reliable indicator of its quality. The aim of this study was therefore to investigate the effect of lucerne hay quality on the milk production potential and characteristics of Jersey cows fed a total mixed ration (TMR). Materials and Methods Ethical clearance was obtained for all procedures conducted during this study (DECRA number R12/64). The research was conducted from July to September 2012 at the Outeniqua Research Farm (Longitude 22º 25.222 E, Latitude 33º 58.702 S) near George in the Western Cape, South Africa. Three treatment diets (consisting of 53% lucerne hay, 7% wheat straw and 40% concentrate; Table 1) were formulated according to NRC (2001) nutrient requirements for dairy cows. The dietary treatments differed only with respect to the grade of lucerne hay included, selected according to the New Lucerne Quality Index Table 1 Chemical composition and particle score of treatment diets fed to Jersey cows differing in lucerne hay quality (n = 4) * Treatment Parameter (% of DM) Prime Grade 1 Grade 2 Dry matter 94.3 94.8 94.9 Crude protein 18.5 14.7 12.0 Soluble protein 6.56 5.18 4.35 Rumen degradable protein 12.6 9.90 8.234 # ADICP 1.04 1.49 1.29 # NDICP 1.49 1.85 1.77 Acid detergent fibre 19.6 28.4 35.8 Neutral detergent fibre 28.0 37.8 47.1 Lignin 4.19 6.03 7.47 Starch 19.1 17.4 15.3 Fat 3.36 2.85 2.59 Total digestible nutrients 69.9 63.9 59.8 Metabolizable energy (MJ/kg) 11.2 10.0 9.25 # PSPS score top compartment (19 mm sieve) (%) 6.7 14.6 11.7 # PSPS score middle compartment (8 mm sieve) (%) 25.2 27.2 38.0 # PSPS score bottom compartment (%) 68.2 58.2 50.4 Ash 8.43 8.24 6.94 Calcium 0.81 0.89 0.67 Phosphorus 0.35 0.33 0.27 Magnesium 0.28 0.26 0.26 Potassium 2.14 1.98 1.53 Sulphur 0.22 0.16 0.14 Sodium 0.29 0.20 0.21 Chlorine 0.66 0.62 0.62 Iron 485sss 515sss 268dd Manganese 68.0 47.5 38.3 Zinc 65.5 61.5 55.8 Copper 14.8 13.3 11.8 * Presented as a total mixed ration (TMR) and lucerne hay quality evaluated according to the New Lucerne Quality Index (NLQI). # ADICP = Acid detergent insoluble crude protein, NDICP = Neutral detergent insoluble crude protein, PSPS = Penn State Particle Size Separator.

Van Zyl et al., 2014. S. Afr. J. Anim. Sci. vol. 44 S27 (NLQI) (Van der Merwe & Scholtz, 2011), i.e. Prime, Grade 1 and Grade 2. The nutrient composition of the three lucerne hay grades used, as analysed by near infrared spectroscopy (NIRS), is set out in Table 2. The concentrate was composed of maize meal, hominy chop, wheat bran, salt and a mineral premix. The concentrate included in the Grade 2 treatment contained additional urea to ensure that the crude protein (CP) requirement of the cows was met. Each diet s particle size was evaluated by using the Penn State Particle Size Separator (PSPS; Nasco, Fort Atkinson, Wisconsin, USA), as described by Lammers et al. (1996) (Table 1). Fifty-seven multiparous Jersey cows, with an average body weight of 389 ± 39.07 kg, were selected and blocked into groups, according to similar production potential: milk production, days in lactation, as well as the lactation number. Thereafter, animals within each group were randomly allocated to each of the three treatment diets (n = 19 cows per treatment). Each treatment was then further randomly subdivided into four replicates consisting of five animals each (one replicate within each treatment containing four animals) and allocated to 12 pasture camps set aside for the study. Each individual cow s body condition score (BCS) was determined according to the five-point system as described by Wildman et al. (1982), at the onset and end of the trial period. Table 2 Chemical composition and quality index (NLQI) of lucerne hay as measured by near infrared spectroscopy (NIRS) *Treatment Nutrient (% of DM) Prime Grade 1 Grade 2 Dry matter 89.5 88.8 93.0 Crude protein 26.7 22.9 19.9 Ash 8.89 11.7 6.22 Acid detergent fibre 24.8 32.7 37.9 Neutral detergent fibre 29.1 40.8 49.3 Lignin 4.86 6.69 8.31 New Lucerne Quality Index 115sss 103sss 98.5s *Lucerne hay quality evaluated according to the New Lucerne Quality Index (NLQI). Following a dietary adaptation period of 14 days, each replicate received their respective treatment diets for the remaining period of 54 days. All the animals were fed a predetermined quantity of feed, calculated according to a 15% refusal rate of the average intake of the preceding three days. The average dry matter intake (DMI) of each replicate, as well as the individual milk production was measured on a daily basis. Production parameters were calculated accordingly. Composite milk samples were collected every second week and stored pending chemical analysis. All cows also had free access to clean drinking water. The data was subjected to a PROC MIXED analysis of the SAS program, version 9.2 (SAS, 2008). Treatment was treated as a fixed effect, block as a random effect and week as a repeated measurement. Tukey s honest significant difference (HSD) test was used to identify significant differences (P <0.05) between treatments. Results and Discussion The effect of lucerne hay quality on the production performance and milk composition of the Jersey cows fed diets containing alternate grades of lucerne hay are set out in Table 3. From the results it can be seen that the Grade 2 lucerne hay quality significantly decreased (P <0.05) the voluntary DMI of the cows. This decrease in DMI could probably be explained as owing to the high NDF content of the Grade 2 lucerne hay included (Tables 1 and 2), compared to the other two treatments. Beauchemin (1991) reported that when the NDF content of a diet increased, the time spent ruminating would increase, and negatively affect DMI. Other factors, such as palatability and digestible energy intake, may play an even greater role in the inhibition of intake when including lucerne hay in the diet of ruminants (Van Soest, 1965). However, Van Soest (1965) further stated that lucerne hay generally contains less fibre than other roughages, and this could result in increased intake levels due to its limited filling effect. In contrast, the significantly (P <0.0001) higher average metabolizable energy intake (MEI) of the cows fed the Prime lucerne treatment, compared to

S28 Van Zyl et al., 2014. S. Afr. J. Anim. Sci. vol. 44 Grades 1 and 2, was expected due to the higher ME and total digestible nutrient (TDN) content of this same treatment (Table 1). The significant (P <0.0001) lower MEI, as affected by the Grade 2 treatment, may be associated with the decreased DMI, as well as the low ME content (Table 1) of the same diet. Lucerne hay quality did not have any significant effect (P >0.05) on any of the performance parameters measured (Table 3). This was despite the significant (P <0.05) effect of the Prime and Grade 2 treatments on the total amount of energy consumed (MEI), as well as DMI, respectively. Mertens (1997) explained that, apart from the lower energy density of the diet, milk production generally decreases as a result of a decreased feed intake which may be a result of the dietary fibre content. This was, however, not the case in the present study. Nelson & Satter (1990) recorded a decrease in milk production (P <0.05), as the lucerne hay included in the diets for dairy cows increased in maturity, hence the corresponding NDF content. The efficiency with which dietary energy was utilized for milk production decreased (P <0.0001) following the Prime lucerne treatment (Table 3). This was probably as a result of sub-clinical acidosis. Due to a lack of physical effective fibre (NDF) early symptoms of sub-clinical acidosis could develop (Mertens, 1997), as a result of decreased rumination, saliva secretion and hence a lower buffering capacity. The PSPS score (Table 1) of the Prime treatment showed that this treatment did not contain enough course material to stimulate effective rumination. The percentage of material in the top sieve of the PSPS (>19 mm in length) should ideally be more than 10%. Table 3 The effect of lucerne hay quality in total mixed diets on the production performance and milk composition of Jersey cows Parameter * Treatment Prime Grade 1 Grade 2 # SEM Significance (P -value) Feed intake: DMI (kg/day) 19.5 a 19.6 a 17.9 b 0.28 0.01 # MEI (MJ/day) 204 a 167 b 153 c 2.76 <0.0001 Production Performance: Initial body weight (kg) 386 399 381 9.23 0.36 End body weight (kg) 403 420 407 10.03 0.46 Body weight change (kg) +17.7 +21.1 +26.1 2.64 0.09 # BCS (Start) 2.11 2.04 2.08 0.03 0.38 # BCS (End) 2.41 2.29 2.28 0.07 0.32 # BCS (Change) +0.31 +0.25 +0.20 0.05 0.31 # FCR (kg DM feed intake/kg milk yield) 1.02 1.02 1.02 0.04 0.99 # FCR (kg DM feed intake/kg 4% FCM yield) 1.03 1.02 1.03 0.03 0.95 Milk yield (kg/day) 19.8 19.9 18.2 0.73 0.25 4% # FCM yield (kg/day) 19.9 19.9 18.4 0.48 0.13 MJ # ME/kg milk yield 10.3 a 8.48 b 8.40 b 0.33 <0.0001 Milk composition (% fresh milk): Milk fat 3.99 4.00 4.12 0.11 0.66 Milk protein 3.69 a 3.52 b 3.53 b 0.05 0.04 Milk lactose 4.76 4.72 4.64 0.04 0.14 # SCC (X10 3 ) 207 196 293 44.3 0.25 # MUN (mg/dl) 15.9 a 13.5 b 13.5 b 0.42 0.0002 a,b,c Means in the same row with different superscripts differ significantly (P <0.05). * Presented as a TMR and lucerne hay quality evaluated according to the New Lucerne Quality Index. # SEM = Standard error of the mean, DMI = Dry matter intake, MEI = Metabolizable energy intake, BCS = Body condition score, FCR = Feed conversion ratio, FCM = 4% Fat-corrected milk yield, ME = Metabolizable energy, SCC = Somatic cell count, MUN = Milk urea nitrogen.

Van Zyl et al., 2014. S. Afr. J. Anim. Sci. vol. 44 S29 Lucerne hay quality did not affect (P >0.05) the fat and lactose content, nor somatic cell count (SCC) of the milk (Table 3). A decreased ruminal ph due to low dietary fibre content can decrease the ratio of acetate to propionate, which in turn could cause a reduction in the milk fat content (Mertens, 1997). Grant et al. (1990) reported that a reduction in hay particle size resulted in a decreased (P = 0.05) milk fat content, and eventually a reduction in 4% fat corrected milk (FCM) production. This, however, was not the case in the present study. It can clearly be seen in Table 3 that the Prime lucerne hay treatment significantly increased (P <0.05) both the protein and milk urea nitrogen (MUN) content of Jersey milk, when compared to the Grade 1 and Grade 2 lucerne hay treatments. This significant increase was associated with the higher (and alternate) protein content of the Prime lucerne hay treatment (Tables 1 and 2). This effect is supported by data presented by Emery (1978). According to Miller et al. (2004) the feeding of high levels of young lucerne hay may result in high concentrations of MUN (>15.5 mg/dl for Jersey cows) due to the higher levels of CP. The high levels of MUN in the milk of the cows fed the Prime lucerne hay diet may therefore be the result of this immature lucerne hay used in this treatment. In addition, the digestibility of the protein fraction of different feeds may also have had an effect on the milk protein and MUN content (Baker et al., 1995). Kalscheur et al. (2006) reported that as the rumen degradable protein levels in the feed increased, the cows subsequently produced milk with higher protein and MUN levels. The MUN content of the present study, however, indicated that the CP was not a limiting factor in any of the treatments, as the proposed norm fell between 8 to 16 mg/dl (NRC, 2001). Conclusions Results of the present study indicate that Grade 2 lucerne hay quality may decrease the DMI of Jersey cows. Even though milk yield was not affected by lucerne hay quality, the efficiency with which dietary ME is utilized for milk production was reduced when Prime lucerne hay was included, probably as a result of subclinical acidosis, due to a lack of effective diet fibre. Prime grade lucerne hay recorded very low NDF values and should therefore be used in combination with other roughage sources in a TMR for dairy cows. The protein and MUN content of the milk increased, following the higher CP content of the Prime lucerne hay treatment. Acknowledgements The authors wish to acknowledge the Outeniqua Research farm for their technical support and for the use of their facilities during the study as well as the Western Cape Agricultural Research Trust for their financial support during this study. Thank you also to Marde Booysen for the statistical analyses. References Beauchemin, K.A., 1991. Effects of dietary neutral detergent fiber concentration and alfalfa hay quality on chewing, rumen function, and milk production of dairy cows. J. Dairy Sci. 74, 3140-3151. Baker, L.D., Ferguson, J.D. & Chalupa, W., 1995. Responses in urea and true protein of milk to different protein feeding schemes for dairy cows. J. Dairy Sci. 78, 2424-2434. Emery, R.S., 1978. Feeding for increased milk protein. J. Dairy Sci. 61, 825-828. Grant, R.J., Colenbrander, V.F. & Mertens, D.R., 1990. Milk fat depression in dairy cows: role of particle size of alfalfa hay. J. Dairy Sci. 73, 1823-1833. Kalscheur, K.F., Baldwin VI, R.L., Glenn, B.P. & Kohn, R.A., 2006. Milk production of dairy cows fed differing concentrations of rumen-degraded protein. J. Dairy Sci. 89, 249-259. Lammers, B.P.D., Buckmaster, D.R. & Heinrichs, A.J., 1996. A simple method for the analysis of particle sizes of forage and total mixed rations. J. Dairy Sci. 79, 922-928. Lemus, R., 2009. Hay Testing and Understanding Forage Quality. Extension Service of Mississippi State University. Publication 2539. Mississippi, USA. Mertens, D.R., 1997. Creating a system for meeting the fiber requirements of dairy cows. J. Dairy Sci. 80, 1463-1481. Miller, Z., Shaver, R.D. & Wattiaux, M.A., 2004. Milk urea nitrogen (MUN) factsheet. University of Wisconsin- Extension. (http://www.wisc.edu/dysci/uwex/index.htm). Nelson, W.F. & Satter, L.D., 1990. Effect of stage of maturity and method of preservation of alfalfa on production by lactating dairy cows. J. Dairy Sci. 73, 1800-1811. NRC, 2001. Nutrient Requirements of Dairy Cattle (7th rev. ed). National Academy Press, Washington, D.C., USA. Orloff, S.B. & Putnam, D.H., 2007. Forage quality testing. In: Irrigated alfalfa management in Mediterranean and Desert zones. Chapter 16. Eds: Summers, C.G. & Putnam, D.H., Oakland: University of California Agriculture and Natural Resources Publication 8302. See: http://alfalfa.ucdavis.edu/irrigatedalfalfa.

S30 Van Zyl et al., 2014. S. Afr. J. Anim. Sci. vol. 44 SAS, 2008. SAS Institute, Inc. SAS Version 9.2., SAS Campus Drive, Cary, North Carolina 27513, USA. Scholtz, G.D.J., Van der Merwe, H.J. & Tylutki, T.P., 2009. A model for assessing Medicago sativa L. hay quality. S. Afr. J. Anim. Sci. 39, 301-305. Van der Merwe, H.J. & Scholtz, G.D.J., 2011. Handleiding Gradering van lusernhooi. Nasionale Lusern trust: www.lusern.org Van Soest, P.J., 1965. Symposium on factors influencing the voluntary intake of herbage by ruminants: Voluntary intake in relation to chemical composition and digestibility. J. Anim. Sci. 24, 834-843. Wildman, E.E., Jones, G.M., Wagner, P.E. & Boman, R.L., 1982. A dairy cow body condition scoring system and its relationship to selected production characteristics. J. Dairy Sci. 65, 495-501.