1. Assessing the impact of natural service bulls and genotype by environment interactions on genetic gain and inbreeding in organic dairy cattle genomic breeding programs
- Author
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Henner Simianer, Tong Yin, Monika Wensch-Dorendorf, Hermann H. Swalve, and S. König
- Subjects
Male ,genotype × environment interaction ,genomic breeding program ,organic farming ,True breeding organism ,Breeding program ,animal diseases ,Population ,Biology ,Breeding ,SF1-1100 ,03 medical and health sciences ,Animal science ,Animals ,Inbreeding ,Animal Husbandry ,education ,Dairy cattle ,Selection (genetic algorithm) ,Insemination, Artificial ,030304 developmental biology ,2. Zero hunger ,0303 health sciences ,education.field_of_study ,business.industry ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,Heritability ,040201 dairy & animal science ,Biotechnology ,Pedigree ,Animal culture ,Phenotype ,Genetic gain ,Animal Science and Zoology ,Cattle ,Female ,Gene-Environment Interaction ,business - Abstract
The objective of the present study was to compare genetic gain and inbreeding coefficients of dairy cattle in organic breeding program designs by applying stochastic simulations. Evaluated breeding strategies were: (i) selecting bulls from conventional breeding programs, and taking into account genotype by environment (G×E) interactions, (ii) selecting genotyped bulls within the organic environment for artificial insemination (AI) programs and (iii) selecting genotyped natural service bulls within organic herds. The simulated conventional population comprised 148 800 cows from 2976 herds with an average herd size of 50 cows per herd, and 1200 cows were assigned to 60 organic herds. In a young bull program, selection criteria of young bulls in both production systems (conventional and organic) were either 'conventional' estimated breeding values (EBV) or genomic estimated breeding values (GEBV) for two traits with low (h 2=0.05) and moderate heritability (h 2=0.30). GEBV were calculated for different accuracies (r mg), and G×E interactions were considered by modifying originally simulated true breeding values in the range from r g=0.5 to 1.0. For both traits (h 2=0.05 and 0.30) and r mg⩾0.8, genomic selection of bulls directly in the organic population and using selected bulls via AI revealed higher genetic gain than selecting young bulls in the larger conventional population based on EBV; also without the existence of G×E interactions. Only for pronounced G×E interactions (r g=0.5), and for highly accurate GEBV for natural service bulls (r mg>0.9), results suggests the use of genotyped organic natural service bulls instead of implementing an AI program. Inbreeding coefficients of selected bulls and their offspring were generally lower when basing selection decisions for young bulls on GEBV compared with selection strategies based on pedigree indices. peerReviewed
- Published
- 2014