2020
DOI: 10.21203/rs.2.24036/v2
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QTL Mapping of Web Blotch Resistance in Peanut by High-throughput Genome-wide Sequencing

Abstract: Background: Web blotch is one of the most important foliar diseases worldwide in peanut (Arachis hypogaea L.). The identification of quantitative trait loci (QTLs) for peanut web blotch resistance represents the basis for gene mining and the application of molecular breeding technologies.Results: In this study, a peanut recombinant inbred line (RIL) population was used to map QTLs for web blotch resistance based on high-throughput genome-wide sequencing. Frequency distributions of disease grade and disease ind… Show more

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Cited by 2 publications
(6 citation statements)
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“…In our previous study, a peanut recombinant inbred line (RIL) population was used to map quantitative trait loci for web blotch resistance on the basis of high-throughput genome-wide sequencing (Liu et al, 2020). In total, eight quantitative trait loci were detected for peanut web blotch resistance in at least two environments, explaining 2.8%-15.1% of the phenotypic variance.…”
Section: Introductionmentioning
confidence: 99%
“…In our previous study, a peanut recombinant inbred line (RIL) population was used to map quantitative trait loci for web blotch resistance on the basis of high-throughput genome-wide sequencing (Liu et al, 2020). In total, eight quantitative trait loci were detected for peanut web blotch resistance in at least two environments, explaining 2.8%-15.1% of the phenotypic variance.…”
Section: Introductionmentioning
confidence: 99%
“…Web blotch is also known as muddy spot or net blotch (Liu et al 2020). This disease is one of the major diseases of peanut.…”
Section: Web Blotchmentioning
confidence: 99%
“…The disease has been reported from various parts of Africa, Argentina, China, Russia, Spain, and the USA (Smith and Littrell 1980;McDonald and Beckerman 1985;Pettit et al 1986) and is estimated to cause 10-30% yield loss annually. Severe infections may lead to more than 50% yield loss (Zhang et al 2019;Liu et al 2020).…”
Section: Web Blotchmentioning
confidence: 99%
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