Dataset Information

Genetic analyses of lodging resistance and yield provide insights into post-Green-Revolution breeding in rice.

ABSTRACT: Lodging reduces grain yield in cereal crops. Understanding the genetic basis of lodging resistance (LR) benefits LR breeding. In the study, 524 accessions from a rice germplasm collection and 193 recombinant inbred lines were phenotyped for 17 LR-related traits. Height and culm strength (the magnitude of applied force necessary to break the culm) were two major factors affecting LR. We conducted genome-wide association study (GWAS) and identified 127 LR-associated loci. Significant phenotypic correlations between culm-strength traits and yield-related traits were observed. To reveal the genetic relationship between them, we conducted GWAS of culm-strength traits with adding yield-related trait as a covariate and detected 63 loci linking culm strength and yield. As a proof, a near-isogenic line for an association locus on chromosome 7 showed enhanced LR and yield. Strikingly, 58 additional loci were identified in the covariate-added GWAS. Several LR-associated loci had undergone divergent selection. Linkage analysis supported the GWAS results. We propose that introgression of alleles beneficial for both culm strength and panicle weight without negative effects on panicle number or pyramiding high-yielding alleles and lodging-resistant alleles without effects on yield can be employed for the post-Green-Revolution breeding.

SUBMITTER: Guo Z

PROVIDER: S-EPMC8051602 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature

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Genetic analyses of lodging resistance and yield provide insights into post-Green-Revolution breeding in rice.

Guo Zilong Z Liu Xiao X Zhang Bo B Yuan Xinjie X Xing Yongzhong Y Liu Hongyan H Luo Lijun L Chen Guoxing G Xiong Lizhong L

Plant biotechnology journal 20201216 4

Lodging reduces grain yield in cereal crops. Understanding the genetic basis of lodging resistance (LR) benefits LR breeding. In the study, 524 accessions from a rice germplasm collection and 193 recombinant inbred lines were phenotyped for 17 LR-related traits. Height and culm strength (the magnitude of applied force necessary to break the culm) were two major factors affecting LR. We conducted genome-wide association study (GWAS) and identified 127 LR-associated loci. Significant phenotypic co ...[more]

PMID: 33159401

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Project description: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 is an alternative route for further improving rice production. To understand the genetic basis of the relationship between rice yield and component traits, we investigated the four traits of two rice hybrid populations (575 + 1495 F1) in different environments and conducted meta-analyses of genome-wide association study (meta-GWAS). In total, 3589 significant loci for three components traits were detected, while only 3 loci for yield were detected. It indicated that rice yield is mainly controlled by minor-effect loci and hardly to be identified. Selecting quantitative trait locus/gene affected component traits to further enhance yield is recommended. Mendelian randomization design is adopted to investigate the genetic effects of loci on yield through component traits and estimate the genetic relationship between rice yield and its component traits by these loci. The loci for GPP or TP mainly had a positive genetic effect on yield, but the loci for KGW with different direction effects (positive effect or negative effect). Additionally, TP (Beta = 1.865) has a greater effect on yield than KGW (Beta = 1.016) and GPP (Beta = 0.086). Five significant loci for component traits that had an indirect effect on yield were identified. Pyramiding superior alleles of the five loci revealed improved yield. A combination of direct and indirect effects may better contribute to the yield potential of rice. Our findings provided a rationale for using component traits as indirect indices to enhanced rice yield, which will be helpful for further understanding the genetic basis of yield and provide valuable information for improving rice yield potential.

Dataset Information

Genetic analyses of lodging resistance and yield provide insights into post-Green-Revolution breeding in rice.

Publications

Genetic analyses of lodging resistance and yield provide insights into post-Green-Revolution breeding in rice.

Similar Datasets

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