Genome-wide association study and Mendelian randomization analysis provide insights for improving rice yield potential

• Published in: Scientific reports Vol. 11; no. 1; pp. 6894 - 11
• Main Authors: Su, Jing, Xu, Kai, Li, Zirong, Hu, Yuan, Hu, Zhongli, Zheng, Xingfei, Song, Shufeng, Tang, Zhonghai, Li, Lanzhi
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 25.03.2021; Nature Publishing Group; Nature Portfolio
• Subjects: 631/208/8; 631/449/2491; 631/449/711; Chromosome Mapping; Chromosomes, Plant - genetics; Crop production; Crop yield; Gene mapping; Genetic effects; Genetic relationship; Genome, Plant; Genome-wide association studies; Genome-Wide Association Study; Genomes; Genotype; Humanities and Social Sciences; Mendelian Randomization Analysis; multidisciplinary; Oryza - genetics; Oryza - growth & development; Plant Breeding; Quantitative Trait Loci; Rice; Science; Science (multidisciplinary); Tillers

Rice yield per plant has a complex genetic architecture, which is mainly determined by its three component traits: the number of grains per panicle (GPP), kilo-grain weight (KGW), and tillers per plant (TP). Exploring ideotype breeding based on selection for genetically less complex component traits...