Improving Quantitative Traits in Self-Pollinated Crops Using Simulation-Based Selection With Minimal Crossing

Improving Quantitative Traits in Self-Pollinated Crops Using Simulation-Based Selection With Minimal Crossing

Genomic selection and marker-assisted recurrent selection have been applied to improve quantitative traits in many cross-pollinated crops. However, such selection is not feasible in self-pollinated crops owing to laborious crossing procedures. In this study, we developed a simulation-based selection...

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Bibliographic Details
Main Authors: Daisuke Sekine, Mai Tsuda, Shiori Yabe, Takehiko Shimizu, Kayo Machita, Masayasu Saruta, Tetsuya Yamada, Masao Ishimoto, Hiroyoshi Iwata, Akito Kaga
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-09-01
Series:Frontiers in Plant Science
Subjects:
seed protein content
soybean
quantitative trait
genomic selection
genomic prediction
segregation simulation
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.729645/full

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https://www.frontiersin.org/articles/10.3389/fpls.2021.729645/full

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