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De novo QTL-seq Identifies Loci Linked to Blanchability in Peanut (Arachis hypogaea) and Refines Previously Identified QTL with Low Coverage Sequence
- Source :
- Agronomy; Volume 11; Issue 11; Pages: 2201, Agronomy, Vol 11, Iss 2201, p 2201 (2021)
- Publication Year :
- 2021
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2021.
-
Abstract
- Blanchability is an often overlooked, but important trait for peanut breeding. The process of blanching, removing the skin, is an important step in the processing of raw nuts for manufacturing. Under strong genetic control and requiring considerable effort to phenotype, blanchability is conducive for marker-assisted selection. We used QTL sequencing (QTL-seq) to identify two QTLs related to blanchability using previously phenotyped breeding populations. To validate the QTLs, we show that two markers can select for significantly increased blanchability in an independent recombinant inbred line (RIL) population. Two wild introgressions from Arachis cardenasii conferring strong disease resistance were segregated in the population and were found to negatively impact blanchability. Finally, we show that by utilizing highly accurate sequence analysis pipelines, low coverage sequencing can be used to genotype whole populations with increased power and precision. This study highlights the potential to mine breeding data to identify and develop useful markers for genetic improvement programs, and provide powerful tools for breeding for processing and quality traits.
- Subjects :
- Genetics
education.field_of_study
biology
Sequence analysis
Population
polyploid
food and beverages
Agriculture
Plant disease resistance
Quantitative trait locus
biology.organism_classification
blanchability
QTL-seq
Genotype
Trait
Arachis cardenasii
education
Agronomy and Crop Science
Selection (genetic algorithm)
Subjects
Details
- Language :
- English
- ISSN :
- 20734395
- Database :
- OpenAIRE
- Journal :
- Agronomy; Volume 11; Issue 11; Pages: 2201
- Accession number :
- edsair.doi.dedup.....026623aa1d181ec280a633f539270bb5
- Full Text :
- https://doi.org/10.3390/agronomy11112201