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| Improving the accuracy of genomic prediction for meat quality traits using whole genome sequence data in pigsOA | |
| 作者姓名： | Zhanwei Zhuang Jie Wu Yibin Qiu Donglin Ruan Rongrong Ding Cineng Xu Shenping Zhou Yuling Zhang Yiyi Liu Fucai Ma Jifei Yang Ying Sun Enqin Zheng Ming Yang Gengyuan Cai Jie Yang Zhenfang Wu |
| 作者单位： | 1. College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University;3. College of Animal Science and Technology, Zhongkai University of Agriculture and Engineering |
| 摘 要： | Background Pork quality can directly affect customer purchase tendency and meat quality traits have become valuable in modern pork production. However, genetic improvement has been slow due to high phenotyping costs. In this study, whole genome sequence(WGS) data was used to evaluate the prediction accuracy of genomic best linear unbiased prediction(GBLUP) for meat quality in large-scale crossbred commercial pigs.Results We produced WGS data(18,695,907 SNPs and 2,106,902 INDELs exceed quality co... |