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Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS by Hua Zhong; Shuai Liu; Xiaoxi Meng; Tong Sun; Yujuan Deng; Weilong Kong; Zhaohua Peng; Yangsheng Li is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.

What is Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS about?

## Abstract ## Background The number of panicles per plant, number of grains per panicle, and 1000-grain weight are important factors contributing to the grain yield per plant in rice. The Rice Diversity Panel 1 (RDP1) contains a total of 421 purified, homozygous rice accessions representing diverse genetic variations within O. sativa. The release of High-Density Rice Array (HDRA, 700 k SNPs) dataset provides a new opportunity to discover the genetic variants of panicle architectures in rice. ## Results In this report, a new method genome-phenome wide association study (GPWAS) was performed with 391 individuals and 27 traits derived from RDP1 to scan the relationship between the genes and multi-traits. A total of 1985 gene models were linked to phenomic variation with a p-value cutoff of 4.49E-18. Besides, 406 accessions derived from RDP1 with 411,066 SNPs were used to identify QTLs associated with the total spikelets number per panicle (TSNP), grain number per panicle (GNP), empty grain number per panicle (EGNP), primary branch number (PBN), panicle length (PL), and panicle number per plant (PN) by GLM, MLM, FarmCPU, and BLINK models for genome-wide association study (GWAS) analys

Who reads Uncovering the genetic mechanisms regulating panicle architecture in rice with GPWAS and GWAS?

It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.

Author
Hua Zhong; Shuai Liu; Xiaoxi Meng; Tong Sun; Yujuan Deng; Weilong Kong; Zhaohua Peng; Yangsheng Li
Publisher
Springer Science and Business Media LLC
Published
2021
Language
EN
Field
Biochemistry, Genetics and Molecular Biology (Life Sciences)

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