Effect of controlling future rate of inbreeding on expected genetic gain and genetic variability in small livestock populations
S. I. Mwangi A , T. K. Muasya A C , E. D. Ilatsia B and A. K. Kahi A
+ Author Affiliations
- Author Affiliations
A Animal Breeding and Genomics Group, Department of Animal Sciences, Egerton University, PO Box 536, 20115 Egerton, Kenya.
B Kenya Agricultural Livestock and Research Organisation, Dairy Research Institute, PO Box 25, 20117, Naivasha, Kenya.
C Corresponding author. Email: muasyakt@yahoo.com
Animal Production Science 60(14) 1681-1686 https://doi.org/10.1071/AN19123
Submitted: 5 March 2019 Accepted: 13 March 2020 Published: 19 May 2020
Abstract
Context: In the present study we assessed the use of average relationship as a means to control future rates of inbreeding in small cattle closed nucleus and its effect on genetic gain for milk yield as a means of managing genetic variability in livestock improvement programs.
Aim: The aim was to strike an ideal balance between genetic gain and loss of genetic variability for Sahiwal population.
Methods: A total of 8452 milk yield records of Sahiwal cows from National Sahiwal Stud, Kenya, were used to estimate breeding values and 19 315 records used to estimate average relatedness of all individuals. The estimated breeding values and genetic relationships were then used to optimise individual genetic contributions between the best two males and the top 210 females in 2000–2008-year group, as well as between the best four, six and eight males and top, 420, 630 and 840 females based on estimated breeding values for lactation milk yield. Weights on genetic merit and average relationship considered in this study were (1, 0), (1, −300), (1, −500), (1, −1000) and (0, −1).
Key results: When the best sires were selected and used for mating disregarding average relationship with their mates i.e. (0, –1), genetic gain of up to 213 kg was realised accompanied by a rate of inbreeding per generation of 4%. Restricting average relationship alone i.e. (0, –1), resulted in a future rate of inbreeding of 1.6% and average merit of 154 when top two sires were used for breeding. At the same restriction level but using eight top sires, the rate of inbreeding per generation was 0.9% accompanied by an average merit of 128.2 kg. Controlling average relationship between mates resulted in increased genetic variability i.e. lower rate of inbreeding though average merit declined.
Conclusion: A rate of inbreeding per generation of <1% is required for a population to maintain its long-term viability. For this level to be attained, the size of the breeding population should be increased from the current two sires vs 210 dams to eight sires vs 840 dams.
Implications: Practical implications for closed nucleus programs such as the Sahiwal program in Kenya should include expanding the nucleus to comprise other institutional and privately-owned herds.
Additional keywords: average genetic merit, Kenyan Sahiwal, optimum contribution, relationship.
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