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Sparse phenotyping and haplotype-based models for genomic prediction in rice by He, Sang, Liang, Shanshan, Meng, Lijun, Cao, Liyong, Ye, Guoyou

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Natural variation of OsML1, a mitochondrial transcription termination factor, contributes to mesocotyl length variation in rice by Meng, Yun, Zhan, Junhui, Liu, Hongyan, Liu, Jindong, Wang, Yamei, Guo, Zhan, He, Sang, Nie, Lixiao, Kohli, Ajay, Ye, Guoyou

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Genomic prediction of rice mesocotyl length indicative of directing seeding suitability using a half-sib hybrid population by Chen, Liang, Liu, Jindong, He, Sang, Cao, Liyong, Ye, Guoyou

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Identification of potential zinc deficiency responsive genes and regulatory pathways in rice by weighted gene co-expression network analysis by Muvunyi, Blaise Pascal, Xiang, Lu, Zhan, Junhui, He, Sang, Ye, Guoyou

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Genomic prediction using composite training sets is an effective method for exploiting germplasm conserved in rice gene banks by He, Sang, Liu, Hongyan, Zhan, Junhui, Meng, Yun, Wang, Yamei, Wang, Feng, Ye, Guoyou

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Multi-trait genomic prediction models enhance the predictive ability of grain trace elements in rice by Muvunyi, Blaise Pascal, Zou, Wenli, Zhan, Junhui, He, Sang, Ye, Guoyou

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Improving selection efficiency of crop breeding with genomic prediction aided sparse phenotyping by He, Sang, Jiang, Yong, Thistlethwaite, Rebecca, Hayden, Matthew J., Trethowan, Richard, Daetwyler, Hans D.

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