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个人简介
Michael Goddard is distinguished for his research into quantitative genetics and the genetic improvement of livestock, in particular by incorporation of molecular genetic data. He co-proposed and developed 'genomic selection' in which dense molecular markers are fitted to quantitative data by using linkage disequilibrium with QTL, thereby enabling more accurate selection decisions, including among animals without phenotypic records. Within a decade, it is being used world wide in animal improvement programmes and has potential in plant breeding and prediction of risk of genetic disease in humans. Goddard has made other major contributions to understanding the genetic basis of quantitative genetic variation, showing that common SNPs can collectively account for much of the heritability, and to inferences on population history.
研究兴趣
论文共 419 篇作者统计合作学者相似作者
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Journal of Dairy Scienceno. 7 (2024): 4726-4742
Genetics Selection Evolutionno. 1 (2024): 1-11
Journal of Dairy Science (2024)
Nature communicationsno. 1 (2024): 3776-3776
Theoretical and Applied Geneticsno. 5 (2024): 1-9
Journal of dairy scienceno. 11 (2023): 7880-7892
AGRICULTURE-BASELno. 2 (2023): 386-386
ANIMAL PRODUCTION SCIENCEno. 11 (2023): 1113-1125
Mehrnush Forutan,Bailey N Engle,Amanda J. Chamberlain,Elizabeth M. Ross,Loan Nguyen,Michael J. D’Occhio,Andrew Collins, Elise A. Kho,Geoffry Fordyce, Shannon Speight,Michael E. Goddard,Ben J. Hayes
Research Square (Research Square) (2023)
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