Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows
El-Awady, H., Badr, A., Khattab, A., Oudah, E. (2020). Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows. EKB Journal Management System, 11(3), 79-82. doi: 10.21608/jappmu.2020.87120
H. G. El-Awady; Anas A. Badr; A. S. Khattab; E. Z. Oudah. "Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows". EKB Journal Management System, 11, 3, 2020, 79-82. doi: 10.21608/jappmu.2020.87120
El-Awady, H., Badr, A., Khattab, A., Oudah, E. (2020). 'Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows', EKB Journal Management System, 11(3), pp. 79-82. doi: 10.21608/jappmu.2020.87120
El-Awady, H., Badr, A., Khattab, A., Oudah, E. Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows. EKB Journal Management System, 2020; 11(3): 79-82. doi: 10.21608/jappmu.2020.87120

Genetic Components for Milk Production and it is Composition Estimated by Using Sire and Animal Models in A Herd of Friesian Cows

Journal of Animal and Poultry Production
Article 3, Volume 11, Issue 3, March 2020, Page 79-82  XML PDF (465.11 K)
Document Type: Original Article
DOI: 10.21608/jappmu.2020.87120
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Authors
H. G. El-Awady email 1; Anas A. Badr2; A. S. Khattab3; E. Z. Oudah4
1Animal Production Dept., Fac. of Agriculture, Kafrelsheikh University
2Animal Production Res. Inst., Ministry of Agric., Dokki, Giza, Egypt
3Animal Production Dept., Faculty of Agric., Tanta University.
4Animal Production Dept., Faculty of Agriculture, Mansoura University.
Abstract
A total number of  eighty seventy four Friesian cows which, kept at  Sakha and El–Karda farms, from 1996 to 2002  are used to estimate  heritability (h2) , phenotypic (rp) and genetic correlations (rg) among three months and 305 day milk yield traits by using sire model (SM) and animal model (AM). The SM includes the random effects of bull and cows within bulls and main effects of  herd year season, and lactation number and days open as a regression. The animal model includes the main effects of  herd year season and lactation number and days open as a regression and random effects of animals, permanent and errors.Estimates of h2 of milk   yield traits for sire models  are  moderate and between from  f0.116 to 0.264 as calculated from sire components and from 0.036 to 0.068 from dam components, while the h2  for milk traits from AM ranged from 0.046 to 0.062. Genetic correlations between milk production traits are  positive, high and near similar for  SM and AM and between from 0.88 to 0.99. The high estimates of genetic correlation in the present study offer the possibility to select for yield traits as early ages, .i.e., at 90 days of lactation. Also, this study indicate that, using of SM is useful when a, small number of observations and little pedigree information is available.
Keywords
Friesian cattle; genetic parameters; variance component
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