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Identification of new rice cultivars and resistance loci against rice black-streaked dwarf virus disease through genome-wide association study.

Zhiming Feng | Houxiang Kang | Mingyou Li | Lihua Zou | Xiaoqiu Wang | Jianhua Zhao | Lang Wei | Nana Zhou | Qianqian Li | Ying Lan | Yafang Zhang | Zongxiang Chen | Wende Liu | Xuebiao Pan | Guo-Liang Wang | Shimin Zuo
Rice (New York, N.Y.) | 2019

The rice black-streaked dwarf virus (RBSDV) disease causes severe rice yield losses in Eastern China and other East Asian countries. Breeding resistant cultivars is the most economical and effective strategy to control the disease. However, few varieties and QTLs for RBSDV resistance have been identified to date.

Pubmed ID: 31309320

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TASSEL (tool)

RRID:SCR_012837

Software package which performs a variety of genetic analyses including association mapping, diversity estimation and calculating linkage disequilibrium. The association analysis between genotypes and phenotypes can be performed by either a general linear model or a mixed linear model. The general linear model now allows users to analyze complex field designs, environmental interactions, and epistatic interactions. The mixed model is specially designed to handle polygenic effects at multiple levels of relatedness including pedigree information. These new analyses should permit association analysis in a wide range plant and animal species. (entry from Genetic Analysis Software)

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Microsoft Excel (tool)

RRID:SCR_016137

Software application with data analysis tools and spreadsheet templates to track and visualize data. It is used to manage and process data.

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