Genetic control and identification of QTLs associated with visual quality traits of field pea (Pisum sativum L.)

Author:

Ubayasena Lasantha1,Bett Kirstin1,Tar’an Bunyamin1,Warkentin Thomas1

Affiliation:

1. Crop Development Centre, University of Saskatchewan, 51 Campus Drive, Saskatoon, SK S7N 4X3, Canada.

Abstract

Visual quality of field pea (Pisum sativum L.) is one of the most important determinants of the market value of the harvested crop. Seed coat color, seed shape, and seed dimpling are the major components of visual seed quality of field pea and are considered as important breeding objectives. The objectives of this research were to study the genetics and to identify quantitative trait loci (QTLs) associated with seed coat color, seed shape, and seed dimpling of green and yellow field peas. Two recombinant inbred line populations (RILs) consisting of 120 and 90 lines of F5-derived F7 (F5:7) yellow pea (P. sativum ‘Alfetta’ × P. sativum ‘CDC Bronco’) and green pea (P. sativum ‘Orb’ × P. sativum ‘CDC Striker’), respectively, were evaluated over two years at two locations in Saskatchewan, Canada. Quantitative inheritance with polygenic control and transgressive segregation were observed for all visual quality traits studied. All 90 RILs of the green pea population and 92 selected RILs from the yellow pea population were screened using AFLP and SSR markers and two linkage maps were developed. Nine QTLs controlling yellow seed lightness, 3 for yellow seed greenness, 15 for seed shape, and 9 for seed dimpling were detected. Among them, five QTLs located on LG II, LG IV, and LG VII were consistent in at least two environments. The QTLs and their associated markers will be useful tools to assist pea breeding programs attempting to pyramid positive alleles for the traits.

Publisher

Canadian Science Publishing

Subject

Genetics,Molecular Biology,General Medicine,Biotechnology

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3. Omics resources and omics-enabled approaches for achieving high productivity and improved quality in pea (Pisum sativum L.);Theoretical and Applied Genetics;2021-01-12

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