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Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Yang Xu; Yue Zhao; Xin Wang; Ying Ma; Pengcheng Li; Zefeng Yang; Zhang, X.; Chenwu Xu; Shizhong Xu (Wiley, 2020)

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Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

Gowda, M.; Das, B.; Makumbi, D.; Babu, R.; Semagn, K.; Mahuku, G.; Olsen, M.S.; Bright, J.M.; Beyene, Y.; Prasanna, B.M. (Springer, 2015)

The maize lethal necrosis disease (MLND) caused by synergistic interaction of Maize chlorotic mottle virus and Sugarcane mosaic virus, and has emerged as a serious threat to maize production in eastern Africa since 2011. ...

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Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm

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Incorporation of parental phenotypic data into multi‐omic models improves prediction of yield‐related traits in hybrid rice

Genome‑wide association and genomic prediction of resistance to maize lethal necrosis disease in tropical maize germplasm