ArticleFrontiers in plant science2020
Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (
Article in Frontiers in plant science, 2020. 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.
- Optimising realised genetic gain with low forward predictive ability across cycles for cooking time and correlated traits in common bean based on multivariate genomic selection.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- From the field to the pot: phenological, agronomic, and cookability traits of common beans (Frontiers in plant science · 2026Article
- Genetic mapping of a chickpea (Cicer arietinum L.) diversity panel for mineral biofortification towards human nutrition.The plant genome · 2025Article
- Unraveling Plant Recombination Patterns: Insights From Genome k-mers.Plant direct · 2025Article
- Genomic prediction for heat and herbicide tolerance in faba bean.The plant genome · 2025Article
- Genome-wide association studies dissect the genetic architecture of seed and yield component traits in cowpea (Vigna unguiculata L. Walp).G3 (Bethesda, Md.) · 2025Article
- Genome-wide association mapping for early maturity in kintoki bean (Breeding science · 2025Article
- GWAS-assisted and multitrait genomic prediction for improvement of seed yield and canning quality traits in a black bean breeding panel.G3 (Bethesda, Md.) · 2025Article
- Consumer traits of common beans: a global and regional perspective on seed coat darkening, cooking time, protein, and mineral content.Frontiers in nutrition · 2025Review
- Dissecting genomic regions and underlying candidate genes in groundnut MAGIC population for drought tolerance.BMC plant biology · 2024Article
- Tools and Techniques to Accelerate Crop Breeding.Plants (Basel, Switzerland) · 2024Review
- Identification of consistent QTL and candidate genes associated with seed traits in common bean by combining GWAS and RNA-Seq.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Stacked generalization as a computational method for the genomic selection.Frontiers in genetics · 2024Article
- Review
- Gene expression profiling of soaked dry beans (Phaseolus vulgaris L.) reveals cell wall modification plays a role in cooking time.The plant genome · 2023Article
- Article
- Genomic selection for target traits in the Australian lentil breeding program.Frontiers in plant science · 2023Article
- Genome-wide association study as a powerful tool for dissecting competitive traits in legumes.Frontiers in plant science · 2023Review
- Impact of Web Blight on Photosynthetic Performance of an Elite Common Bean Line in the Western Amazon Region of Colombia.Plants (Basel, Switzerland) · 2022Article
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cooking time of the common bean is an important trait for consumer preference, with implications for nutrition, health, and environment. For efficient germplasm improvement, breeders need more information on the genetics to identify fast cooking sources with good agronomic properties and molecular breeding tools. In this study, we investigated a broad genetic variation among tropical germplasm from both Andean and Mesoamerican genepools. Four populations were evaluated for cooking time (CKT), water absorption capacity (WAC), and seed weight (SdW): a bi-parental RIL population (DxG), an eight-parental Mesoamerican MAGIC population, an Andean (VEF), and a Mesoamerican (MIP) breeding line panel. A total of 922 lines were evaluated in this study. Significant genetic variation was found in all populations with high heritabilities, ranging from 0.64 to 0.89 for CKT. CKT was related to the color of the seed coat, with the white colored seeds being the ones that cooked the fastest. Marker trait associations were investigated by QTL analysis and GWAS, resulting in the identification of 10 QTL. In populations with Andean germplasm, an inverse correlation of CKT and WAC, and also a QTL on Pv03 that inversely controls CKT and WAC (CKT3.2/WAC3.1) were observed. WAC7.1 was found in both Mesoamerican populations. QTL only explained a small part of the variance, and phenotypic distributions support a more quantitative mode of inheritance. For this reason, we evaluated how genomic prediction (GP) models can capture the genetic variation. GP accuracies for CKT varied, ranging from good results for the MAGIC population (0.55) to lower accuracies in the MIP panel (0.22). The phenotypic characterization of parental material will allow for the cooking time trait to be implemented in the active germplasm improvement programs. Molecular breeding tools can be developed to employ marker-assisted selection or genomic selection, which looks to be a promising tool in some populations to increase the efficiency of breeding activities.
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