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QTL mapping for pod quality and yield traits in snap bean (Phaseolus vulgaris L.).
Njau, Serah Nyawira; Parker, Travis A; Duitama, Jorge; Gepts, Paul; Arunga, Edith Esther.
Affiliation
  • Njau SN; Department of Water and Agricultural Resource Management, University of Embu, Embu, Kenya.
  • Parker TA; Department of Plant Sciences, University of California, Davis, Davis, CA, United States.
  • Duitama J; Department of Plant Sciences, University of California, Davis, Davis, CA, United States.
  • Gepts P; Department of Systems and Computing Engineering, University de los Andes, Bogotá, Colombia.
  • Arunga EE; Department of Plant Sciences, University of California, Davis, Davis, CA, United States.
Front Plant Sci ; 15: 1422957, 2024.
Article in En | MEDLINE | ID: mdl-39188542
ABSTRACT
Pod quality and yield traits in snap bean (Phaseolus vulgaris L.) influence consumer preferences, crop adoption by farmers, and the ability of the product to be commercially competitive locally and globally. The objective of the study was to identify the quantitative trait loci (QTL) for pod quality and yield traits in a snap × dry bean recombinant inbred line (RIL) population. A total of 184 F6 RILs derived from a cross between Vanilla (snap bean) and MCM5001 (dry bean) were grown in three field sites in Kenya and one greenhouse environment in Davis, CA, USA. They were genotyped at 5,951 single nucleotide polymorphisms (SNPs), and composite interval mapping was conducted to identify QTL for 16 pod quality and yield traits, including pod wall fiber, pod string, pod size, and harvest metrics. A combined total of 44 QTL were identified in field and greenhouse trials. The QTL for pod quality were identified on chromosomes Pv01, Pv02, Pv03, Pv04, Pv06, and Pv07, and for pod yield were identified on Pv08. Co-localization of QTL was observed for pod quality and yield traits. Some identified QTL overlapped with previously mapped QTL for pod quality and yield traits, with several others identified as novel. The identified QTL can be used in future marker-assisted selection in snap bean.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Plant Sci Year: 2024 Document type: Article Affiliation country: Kenia

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Plant Sci Year: 2024 Document type: Article Affiliation country: Kenia