THE INFLUENCE OF PROTEIN, METHIONINE AND LYSINE FEEDED LEVEL, IN HENS PERFORMANCES DURING THE PLATEAU PART OF THE LAYING CURVE

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Lucrări ştiinńifice Zootehnie şi Biotehnologii, vol. 41(1) (2008), Timişoara THE INFLUENCE OF PROTEIN, METHIONINE AND LYSINE FEEDED LEVEL, IN HENS PERFORMANCES DURING THE PLATEAU PART OF THE LAYING CURVE INFLUENłA NIVELULUI DE PROTEINĂ, LIZINĂ ŞI METIONINĂ DIN HRANĂ ASUPRA PERFORMANłELOR PRODUCTIVE ALE GĂINILOR OUĂTOARE AFLATE ÎN FAZA DE PLATOU A CURBEI DE OUAT SIMIZ ELIZA*, DRIHA ANA*, BRUDIU ILEANA**, SIMIZ F.** *Faculty of Animal Science and Biotechnologies, Timisoara, România ** Faculty of Veterinary Medicine The experiment has been carried out in the Poultry Department from the Didactic Station of Banat`s University of Agricultural Sciences and Veterinary Medicine Timişoara, on laying hens - the Shaver 579 hybrid, being in the plateau part of the laying curve. We have distributed the hens in 4 groups (n=25), with fodder recipes including two protein levels (16.2% - group 1 and respectively 15.2% groups 2,3 and 4) and different amino acid contents (about 0.77% lysine and 0.38% methionine groups 1 and 2; only 0.70% lysine and 0.34% methionine group 3, respectively 0.82% lysine and 0.42% methionine group 4). For the entire studied period, the highest egg production and the lower specific consumption, was registered for group 4 and the lowest production performances were assigned in group 3, which had been fed with a diet containing 15.2% crude protein and an amino-acids level lower with 10% than the NRC 1994 requirements. A strong positive correlation (r=0.80, p=0.015) for the egg production versus protein, lysine and methionine intake was obtained in. Key words: laying hens, protein level, amino acids, lysine, methionine, correlation coefficient To obtain a maximal production together with high fodder conversion means principally the result of two factors: the genetics of the animal and the quality and quantity of the used fodders. Feeding proteins in mono-gastric is strongly binding by the quality of protein, the requirements and the optimal balanced proportion within the amino-acids report (1, 3). Poultries combined fodders may be supplemented with synthesis obtained amino-acids. By an optimization of these in the used fodder, the protein contain of primary stuffs could be decrease to minimum, without any negative effects. In this sense, by maintaining an optimal level of amino-acids, respectively of protein, it can be obtain a lower pollution of the environment. The nitrogen excretion of the 554

laying hens can be diminishing with about 25% in the case of decreasing the fodders contain in crude protein (2, 4) Materials and Methods The research has been carried out in the Poultry Department from the Didactic Station of Banat`s University of Agricultural Sciences and Veterinary Medicine Timişoara, on 100 laying hens - the Shaver 579 hybrid, being in the stage part of the laying curve (32-39 weeks, poultries age). We have distributed the hens into 4 groups, with fodder recipes including two protein levels (16.2% and 15.2%) supplemented with different levels of L- lysine and DL-methionine. In the used combined fodder, there were not included animal prime matter stuffs ingredients. The structure of the combined fodder and it`s characteristics are shown in Table 1: Table 1 The experimental organization scheme Experimental variant 1 2 3 4 Combined fodder structure per experimental variants: Corn 64.46 66.18 66.27 66.27 Soybean meal 18.5 15.5 15 15 Sunflower meal 6.5 7 7.5 7.5 CO 3 Ca 5.5 6 6 5.75 Di-calcium phosphate 0.8 1 1 1 L-lysine - 0.06-0.16 DL-methionine 0.04 0.06 0.03 0.12 Premix GOC 4 4 4 4 Salt 0.2 0.2 0.2 0.2 Nutritive characteristics of the combined fodder ME (kcal) 2769.2 2766.14 2768.92 2768.92 Crude Protein (%) 16.20 15.21 15.20 15.20 Lysine (%) 0.77 0.75 0.70 0.82 Methionine (%) 0.38 0.38 0.34 0.42 The results achieved were statistically processed and compared to each other with the help of the test Mann-Whitney. Relying on these results, we have studied the correlations, determined the correlation coefficients and represented graphically the polynomial regression curves by using Minitab 14 software program. Results and Discussions In this paper we analyzed the correlations between the egg produced number by the laying hens of each group (N), in relation with the independent variable, respectively the protein (P), lysine (L) and methionine (M), as well as the evolution of the specific fodder consumption, like an expression of the fodder intake 555

quantities (g) used to produce an egg, in a direct relation with the named independent variables (P, L, M). In figure 1 (a, b, c) is represented graphically the evolution of the eggs number, on the entire experimental period in relation with the ingested of crude protein (a), lysine (b), methionine (c); by using the third degree polynomial regressions. Table 2 presents the obtained regression equations, as well as the simple correlation coefficients. Eggs number/ group/ day 18,5 19,0 19,5 20,0 20,5 21,0 21,5 Protein intake quantity (g/ hen/ day) Eggs number/ group/ week Eggs number/ group/ week 850 900 950 1000 1050 1100 400 450 500 550 600 Lysine intake quantity (mg/ hen/ day) Methionine intake quantity (mg/ hen/ day) Figure 1. Third degree polynomial regression, for the eggs number, according to the ingested protein (a), lysine (b) and methionine (c) Table 2 Polynomial regression equations and simple correlation coefficients, for the obtained eggs number, according to the ingested protein (a), lysine (b) and methionine (c) Eggs number (N) Reggressional equation Correlation coeff. (r) Lot 1 N=77100-11137P+536.8P 2-8.62P 3 0.550 (p=0.158) Protein Lot 2 N=14277-2227P+116P 2-2.03P 3 0.669 (p=0.070) (P) Lot 3 N=36478-5503P+277.1P 2-4.642P 3 0.809 (p=0.015) Lot 4 N=35232-5456P+282.6P 2-4.874P 3 0.489 (p=0.218) Lot 1 N=78987-240.0L+0.2434L 2-0.000082L 3 0.550 (p=0.156) Lysine Lot 2 N=92-43.0L+0.0456L 2-0.000016L 3 0.666 (p=0.070) (L) Lot 3 N=37333-122.3L+0.1338L 2-0.000049L 3 0.810 (p=0.015) Lot 4 N=31399-90.2L+0.0866L 2-0.000028L 3 0.476 (p=0.233) Methionine (M) Lot 1 N=78823-485.4M+0.997M 2-0.000683M 3 0.552 (p=0.156) Lot 2 N=13723-86M+0.179M 2-0.000M 3 0.666 (p=0.072) Lot 3 N=37308-251.7M+0.5667M 2-0.000425M 3 0.810 (p=0.015) Lot 4 N=-2584+13.99M-0.0239M 2 +0.000014M 3 0.102 (p=0.310) 556

Analyzing the obtained data for the eight experimental weeks, it could be easily observed that group 4, had been registered the highest production with 1110 eggs, followed by group 1 with 1068 eggs. The resulted difference between this two groups, was not statistically significant (p>0.05). The lowest production was assigned in group 3, with 978 eggs; the 132 registered difference was statistically assured at a level p<0.01 in report to. Inside group 3, there was obtained a strongly positive correlation coefficient, for the eggs production versus the intake of protein 0809 (p=0.015), lysine 0.810 (p=0.015) and methionine 0.810 (p=0.015). In figure 2 (a, b, c), as well as in table 3 are shown the data s related the specific fodder consumption for the whole experimental lots. 18,5 19,0 19,5 20,0 20,5 21,0 21,5 Protein intake quantity (g/ hen/ day) 850 900 950 1000 1050 Lysine intake quantity (mg/ hen/ day) 1100 420 450 480 510 540 570 Methionine intake quantity (mg/ hen/ day) 600 Figure 2. Third degree polynomial regression, for the specific fodder consumption (g forage/ egg), according to the ingested protein (a), lysine (b) and methionine (c) It could be remarked, the same group 4, in view for the specific fodder consumption, with the lowest one, 161.38 g fodder/ egg. The protein ingest here, was a low one indeed, but the amino acids supplementation, was higher, in report to all the other lots. Here was obtained the higher correlation coefficients, 0.814 (p=0.014) for protein, 0.820 (p=0.013) lysine and 0.831 (p=0.015) for methionine. At the other side was again group 3, with 183.88 g fodder/ egg, the highest specific consumption over the eight experimental weeks. 557

Table 3 Polynomial regression equations and simple correlation coefficients, for the specific fodder consumption, according to the protein (a), lysine (b) and methionine (c) intake Correlation Reggressional equation Consum specific (c.s.) Protein (P) Lysine (L) Methionine (M) coeff. (r) Lot 1 cs=-110700+00p-769.6p 2 +12.34P 3 0.654 (p=0.078) Lot 2 cs=-65676+10240p-531p 2 +9.17P 3 0.248 (p=0.553) Lot 3 cs=-74538+11349p-574.2p 2 +9.68P 3 0.074 (p=0.862) Lot 4 cs=-73001+11293p-581.2p 2 +9.97P 3 0.814 (p=0.014) Lot 1 cs=-112803+343.0l-0.3472l 2 +0.000117L 3 0.653 (p=0.079) Lot 2 cs=-66682+210.6l-0.2212l 2 +0.000077L 3 0.252 (p=0.574) Lot 3 cs=-76694+253.6l-0.2787l 2 +0.000102 L 3 0.073 (p=0.863) Lot 4 cs=-71886+206.1l-0.1965l 2 +0.000062L 3 0.820 (p=0.013) Lot 1 cs=-112610+693.9m-1.423m 2 +0.000973M 3 0.653 (p=0.079) Lot 2 cs=-66999+418m-0.866m 2 +0.000598M 3 0.252 (p=0.546) Lot 3 cs=-76683+522.1m-1.181m 2 +0.000890M 3 0.073 (p=0.863) Lot 4 cs=12239-68.3m+0.1282m 2-0.000080M 3 0.831 (p=0.015) Conclusions The highest eggs production during the entire experimental period was achieved in group 4 (1110 eggs), with an average daily intake of 19.42 g CP, 1048 mg lysine and 536.85 mg methionine. The lowest eggs production was in (978 eggs), easily explained by looking to the used diet, lean in lysine and methionine, according to the NRC requirements. Here was obtained the highest simply regression coefficient between the resulted eggs production and the intake of protein, lysine and methionine (about 0.80). The highest fodder conversion was assigned for the hens of (161.38) followed by group 1 (166.88), group 2 (173.88) and finally (183.88) with the highest specific fodder consumption. The decrease of crude protein by a single percent, but complementary supplementing the combined fodder with amino-acids till 0.82% lysine and 0.42% methionine, had lead to obtaining an improvement of the eggs number production, with a lower specific fodder consumption. Bibliography 1. Drinceanu, D. (2000) Biotehnologii în alimentańia animalelor, Editura Eurobit, Timişoara 2. Limper, Yırg (2001) Rolul aminoacizilor în nutrińia animală, Aminoacizi esenńiali de sinteză în nutrińia animală, Degussa Hőlss AG, Bucureşti, p. 1-5 3. NRC (1994) Nutrient requirements of poultry: ninth revised edition, National Academy Press, Washington, DC. 4. Safar, AL. and Rose, S.P. (2002) The response of laying hens to dietary amino acids. World`s Poultry Science Journal, vol. 58, p.209-231 558