Genomic selection of agronomic traits in hybrid rice using an NCII population

Published on Dec 1, 2018in Rice3.513
· DOI :10.1186/s12284-018-0223-4
Yang Xu4
Estimated H-index: 4
(YZU: Yangzhou University),
Xin Wang4
Estimated H-index: 4
(YZU: Yangzhou University)
+ 4 AuthorsZhongli Hu6
Estimated H-index: 6
(WHU: Wuhan University)
Background Hybrid breeding is an effective tool to improve yield in rice, while parental selection remains the key and difficult issue. Genomic selection (GS) provides opportunities to predict the performance of hybrids before phenotypes are measured. However, the application of GS is influenced by several genetic and statistical factors. Here, we used a rice North Carolina II (NC II) population constructed by crossing 115 rice varieties with five male sterile lines as a model to evaluate effects of statistical methods, heritability, marker density and training population size on prediction for hybrid performance.
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