首页|Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population

Assessment of genomic prediction accuracy using different selection and evaluation approaches in a simulated Korean beef cattle population

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Objective: This study assessed genomic prediction accuracies based on different selection methods, evaluation procedures, training population (TP) sizes, heritability (h(2)) levels, marker densities and pedigree error (PE) rates in a simulated Korean beef cattle population.

HeritabilityMarker DensityPrediction AccuracySimulationSelection Method

Nwogwugwu, Chiemela Peter、Kim, Yeongkuk、Choi, Hyunji、Lee, Jun Heon、Lee, Seung-Hwan

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Chungnam Natl Univ, Div Anim & Daily Sci, Daejeon 34134, South Korea

2020

Asian-Australasian Journal of Animal Sciences

Asian-Australasian Journal of Animal Sciences

ISTP
ISSN:1011-2367
年,卷(期):2020.33(12)
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