ArticleBMC plant biology2018
Construction of high-density linkage maps for mapping quantitative trait loci for multiple traits in field pea (Pisum sativum L.).
Article in BMC plant biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 74 citations in OpenAlex.
- Genome-wide association studies of a pea germplasm reveal novel markers and candidate genes implicated in resistance to Fusarium oxysporum f. sp. pisi races 1 and 2.The plant genome · 2026Article
- Characterization of Genetic Diversity and Genomic Prediction of Secondary Metabolites in Pea Genetic Resources.Plants (Basel, Switzerland) · 2026Article
- Genotyping ofPlants (Basel, Switzerland) · 2025Article
- Genomic Selection for Pea Grain Yield and Protein Content in Italian Environments for Target and Non-Target Genetic Bases.International journal of molecular sciences · 2025Article
- Genetic diversity and population structure analysis of a diverse panel of pea (Frontiers in genetics · 2024Article
- Identification of QTLs associated with seed protein concentration in two diverse recombinant inbred line populations of pea.Frontiers in plant science · 2024Article
- Article
- Genetic Diversity and Population Structure of a WideInternational journal of molecular sciences · 2023Article
- Mapping QTLs for Super-Earliness and Agro-Morphological Traits in RILs Population Derived from Interspecific Crosses betweenCurrent issues in molecular biology · 2023Article
- High-density linkage mapping and genetic dissection of resistance to broomrape (Frontiers in plant science · 2023Article
- Genomic prediction and allele mining of agronomic and morphological traits in pea (Frontiers in plant science · 2023Article
- Development of a knowledge graph framework to ease and empower translational approaches in plant research: a use-case on grain legumes.Frontiers in artificial intelligence · 2023Article
- Article
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
- Characterizing plant trait(s) for improved heat tolerance in field pea (Pisum sativum L.) under subtropical climate.International journal of biometeorology · 2022Article
- Genomics Enabled Breeding Strategies for Major Biotic Stresses in Pea (Frontiers in plant science · 2022Review
- High-resolution quantitative trait locus mapping for rice grain quality traits using genotyping by sequencing.Frontiers in plant science · 2022Article
- Genome-wide association studies of mineral and phytic acid concentrations in pea (Pisum sativum L.) to evaluate biofortification potential.G3 (Bethesda, Md.) · 2021Article
- Mapping QTL associated with partial resistance to Aphanomyces root rot in pea (Pisum sativum L.) using a 13.2 K SNP array and SSR markers.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Understanding Starch Metabolism in Pea Seeds towards Tailoring Functionality for Value-Added Utilization.International journal of molecular sciences · 2021Review
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe objective of this research was to map quantitative trait loci (QTLs) of multiple traits of breeding importance in pea (Pisum sativum L.). Three recombinant inbred line (RIL) populations, PR-02 (Orb x CDC Striker), PR-07 (Carerra x CDC Striker) and PR-15 (1-2347-144 x CDC Meadow) were phenotyped for agronomic and seed quality traits under field conditions over multiple environments in Saskatchewan, Canada. The mapping populations were genotyped using genotyping-by-sequencing (GBS) method for simultaneous single nucleotide polymorphism (SNP) discovery and construction of high-density linkage maps.
resultsAfter filtering for read depth, segregation distortion, and missing values, 2234, 3389 and 3541 single nucleotide polymorphism (SNP) markers identified by GBS in PR-02, PR-07 and PR-15, respectively, were used for construction of genetic linkage maps. Genetic linkage groups were assigned by anchoring to SNP markers previously positioned on these linkage maps. PR-02, PR-07 and PR-15 genetic maps represented 527, 675 and 609 non-redundant loci, and cover map distances of 951.9, 1008.8 and 914.2 cM, respectively. Based on phenotyping of the three mapping populations in multiple environments, 375 QTLs were identified for important traits including days to flowering, days to maturity, lodging resistance, Mycosphaerella blight resistance, seed weight, grain yield, acid and neutral detergent fiber concentration, seed starch concentration, seed shape, seed dimpling, and concentration of seed iron, selenium and zinc. Of all the QTLs identified, the most significant in terms of explained percentage of maximum phenotypic variance (PV
conclusionWe have identified highly significant and reproducible QTLs for several agronomic and seed quality traits of breeding importance in pea. The QTLs identified will be the basis for fine mapping candidate genes, while some of the markers linked to the highly significant QTLs are useful for immediate breeding applications.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.