Multi-trait genomic prediction using in-season physiological parameters increases prediction accuracy of complex traits in US wheat

被引：0
|
作者：
Dipendra Shahi
Jia Guo
Sumit Pradhan
Jahangir Khan
Muhsin AVCI
Naeem Khan
Jordan McBreen
Guihua Bai
Matthew Reynolds
John Foulkes
Md Ali Babar
机构：
[1] 3105 McCarty Hall B,Department of Agronomy
[2] Oregon State University,Department of Forest Ecosystem and Society
[3] USDA-ARS,Division of Plant and Crop Sciences, School of Biosciences
[4] CIMMYT International Maize and Wheat Improvement Center (CIMMYT),undefined
[5] University of Nottingham,undefined
来源：
BMC Genomics | / 23卷
关键词：
Canopy temperature; NDVI; Genomic prediction; Multi-trait genomic prediction; Spike partitioning index; Fruiting efficiency;
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