Short communication: Validation of genomic breeding value predictions for feed intake and feed efficiency traits.
Validating genomic prediction equations in independent populations is an important part of evaluating genomic selection. Published genomic predictions from 2 studies on (1) residual feed intake and (2) dry matter intake (DMI) were validated in a cohort of 78 multiparous Holsteins from Australia. The mean realized accuracy of genomic prediction for residual feed intake was 0.27 when the reference population included phenotypes from 939 New Zealand and 843 Australian growing heifers (aged 5-8 mo) genotyped on high density (770k) single nucleotide polymorphism chips. The 90% bootstrapped confidence interval of this estimate was between 0.16 and 0.36. The mean realized accuracy was slightly lower (0.25) when the reference population comprised only Australian growing heifers. Higher realized accuracies were achieved for DMI in the same validation population and using a multicountry model that included 958 lactating cows from the Netherlands and United Kingdom in addition to 843 growing heifers from Australia. The multicountry analysis for DMI generated 3 sets of genomic predictions for validation animals, one on each country scale. The highest mean accuracy (0.72) was obtained when the genomic breeding values were expressed on the Dutch scale. Although the validation population used in this study was small (n=78), the results illustrate that genomic selection for DMI and residual feed intake is feasible. Multicountry collaboration in the area of dairy cow feed efficiency is the evident pathway to achieving reasonable genomic prediction accuracies for these valuable traits.
Biosciences Research Division, Department of Environment and Primary Industries, Agribio, 5 Ring Road, Bundoora, VIC 3086, Australia; Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia. Electronic address: jennie.pryce@depi.vic.gov.au.
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Pryce
Biosciences Research Division, Department of Environment and Primary Industries, Agribio, 5 Ring Road, Bundoora, VIC 3086, Australia; Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia.
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Gonzalez-Recio
Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia; Future Farming Systems Research, Department of Environment and Primary Industries, Ellinbank, VIC 3820, Australia.
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JB
Thornhill
Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia; Future Farming Systems Research, Department of Environment and Primary Industries, Ellinbank, VIC 3820, Australia.
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Marett
Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia; Future Farming Systems Research, Department of Environment and Primary Industries, Ellinbank, VIC 3820, Australia.
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Wales
Animal and Veterinary Sciences, Scotland's Rural College (SRUC), Easter Bush Campus, EH25 9RG, Scotland.
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Coffey
Animal Breeding and Genomics Centre of Wageningen University Research Centres (UR) Livestock Research, PO Box 65, 8200 AB Lelystad, the Netherlands.
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de Haas
Animal Breeding and Genomics Centre of Wageningen University Research Centres (UR) Livestock Research, PO Box 65, 8200 AB Lelystad, the Netherlands.
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Veerkamp
Biosciences Research Division, Department of Environment and Primary Industries, Agribio, 5 Ring Road, Bundoora, VIC 3086, Australia; Dairy Futures Cooperative Research Centre, Bundoora, VIC 3086, Australia; La Trobe University, Bundoora, VIC 3086, Australia.
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Hayes
D000818:Animals; D001947:Breeding; D002417:Cattle / Q000235:genetics* / Q000502:physiology*; D004435:Eating / Q000235:genetics*; D004734:Energy Metabolism / Q000235:genetics*; D005260:Female; D016678:Genome; D023281:Genomics / Q000379:methods*; D005838:Genotype; D007774:Lactation / Q000235:genetics; D020641:Polymorphism, Single Nucleotide; D012641:Selection, Genetic
feed efficiency; genomic prediction; residual feed intake; validation