Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement

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dc.creatorMeng, Lijun
dc.creatorZhao, Xiangqian
dc.creatorPonce, Kimberly
dc.creatorYe, Guoyou
dc.creatorLeung, Hei
dc.date2016-03
dc.date2024-12-19T12:54:55Z
dc.date2024-12-19T12:54:55Z
dc.date.accessioned2026-06-27T04:09:18Z
dc.identifierhttps://hdl.handle.net/10568/165289
dc.identifier.urihttp://hdl.handle.net/123456789/23321
dc.languageen
dc.publisherElsevier
dc.sourceMeng, Lijun; Zhao, Xiangqian; Ponce, Kimberly; Ye, Guoyou and Leung, Hei. 2016. Genome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement. Field Crops Research, Volume 189 p. 19-42
dc.titleGenome-wide prediction models that incorporate de novo GWAS are a powerful new tool for tropical rice improvement
dc.typeJournal Article

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Instituto Internacional de Investigación del Arroz (IRRI)