MOESM6 of Exploring the genetic architecture and improving genomic prediction accuracy for mastitis and milk production traits in dairy cattle by mapping variants to hepatic transcriptomic regions responsive to intra-mammary infection
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https://springernature.figshare.com/articles/dataset/MOESM6_of_Exploring_the_genetic_architecture_and_improving_genomic_prediction_accuracy_for_mastitis_and_milk_production_traits_in_dairy_cattle_by_mapping_variants_to_hepatic_transcriptomic_regions_responsive_to_intra-mammary_infection/5004596/1数据链接链接失效反馈
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资源简介:
Additional file 6: Tables S7, S8, S9 and S10. GFBLUP analyses in the Jersey (JER) population. The data provided represent the detailed results of GFBLUP analyses for mastitis (Table S7), protein (Table S8), milk (Table S9) and fat (Table S10) yield in the JER population.
补充材料6:表格S7、S8、S9及S10。针对娟姗牛(Jersey, JER)群体开展的基因组特征辅助最佳线性无偏预测(Genomic Feature-Based Best Linear Unbiased Prediction, GFBLUP)分析。本数据集提供了该群体中乳腺炎(表格S7)、乳蛋白产量(表格S8)、产奶量(表格S9)及乳脂产量(表格S10)的GFBLUP分析详细结果。
创建时间:
2023-06-28



