El-Awady,, H., El-Arian, M., Khattab, A. (2002). GENETIC IMPROVEMENT FOR MILK TRAITS OF GERMAN HOLSTEINS THROUGH SELECTION INDICES. Journal of Animal and Poultry Production, 27(12), 8205-8212. doi: 10.21608/jappmu.2002.257648
H. G. El-Awady,; M. N. El-Arian; A. S. Khattab. "GENETIC IMPROVEMENT FOR MILK TRAITS OF GERMAN HOLSTEINS THROUGH SELECTION INDICES". Journal of Animal and Poultry Production, 27, 12, 2002, 8205-8212. doi: 10.21608/jappmu.2002.257648
El-Awady,, H., El-Arian, M., Khattab, A. (2002). 'GENETIC IMPROVEMENT FOR MILK TRAITS OF GERMAN HOLSTEINS THROUGH SELECTION INDICES', Journal of Animal and Poultry Production, 27(12), pp. 8205-8212. doi: 10.21608/jappmu.2002.257648
El-Awady,, H., El-Arian, M., Khattab, A. GENETIC IMPROVEMENT FOR MILK TRAITS OF GERMAN HOLSTEINS THROUGH SELECTION INDICES. Journal of Animal and Poultry Production, 2002; 27(12): 8205-8212. doi: 10.21608/jappmu.2002.257648
GENETIC IMPROVEMENT FOR MILK TRAITS OF GERMAN HOLSTEINS THROUGH SELECTION INDICES
1Animal production Department, Faculty of Agriculture, Kafr El-Sheikh, Tanta University, Egypt.
2Animal production Department, Faculty of Agriculture, Mansoura university, Egypt.
3Animal production Department, Faculty of Agriculture, Tanta University, Egypt.
Abstract
Total of 20500 normal first lactation of German Friesian cows from 23 herds sired by 1003 bulls, were used to estimate the genetic and phenotypic parameters of 1st milk yield (MY), 1st fat yield (FY) and 1st protein yield (PY). Analysis was carried out using a mixed model including year and season of calving and the herd as fixed effects, age at first calving as a covariate and sires as a random effect. Least squares means were, 6096, 253 and 201, kg for MY, FY and PY, respectively. Heritability estimates were, 0.35 ± 0.02, 0.29 ± 0.02 and 0.29 ± 0.02 for the previous traits, respectively. All genetic and phenotypic correlations were positive and high (0.66 to 0.92). Four selection indices for improving milk traits were constructed including all combinations of two or three traits studied. The expected genetic change per generation ranged between 338 kg and 344 kg for MY, 4.11 kg and 10.81 kg for FY and 7.55 kg and 7.98 kg for PY. The maximum predicted genetic improvement in milk and protein yields were 344.18 kg and 7.98 kg per generation and achieved by I3, while the highest predicted genetic response for fat yield gave by I4 (10.81 kg). Index I1 which included MY, FY and PY was the best (RIH=0.66) and recommended for genetic improvement of German Friesian cows if the selection was exercised at the end of the first lactation.
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