ArticlePloS one2017
Association mapping unveils favorable alleles for grain iron and zinc concentrations in lentil (Lens culinaris subsp. culinaris).
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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Who cites it
7 citing papers in PubMed, 35 citations in OpenAlex.
- Association mapping of important agronomic traits in Mucuna pruriens (L.) DC.Botanical studies · 2024Article
- Genome-wide association study as a powerful tool for dissecting competitive traits in legumes.Frontiers in plant science · 2023Review
- Omics Path to Increasing Productivity in Less-Studied Crops Under Changing Climate-Lentil a Case Study.Frontiers in plant science · 2022Review
- Integrated breeding approaches to enhance the nutritional quality of food legumes.Frontiers in plant science · 2022Review
- Potato biofortification: an effective way to fight global hidden hunger.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021Review
- Genetic dissection of grain iron and zinc concentrations in lentil (Journal of genetics · 2019Article
- Identifying Candidate Genes for Enhancing Grain Zn Concentration in Wheat.Frontiers in plant science · 2018Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lentil is a major cool-season grain legume grown in South Asia, West Asia, and North Africa. Populations in developing countries of these regions have micronutrient deficiencies; therefore, breeding programs should focus more on improving the micronutrient content of food. In the present study, a set of 96 diverse germplasm lines were evaluated at three different locations in India to examine the variation in iron (Fe) and zinc (Zn) concentration and identify simple sequence repeat (SSR) markers that associate with the genetic variation. The genetic variation among genotypes of the association mapping (AM) panel was characterized using a genetic distance-based and a general model-based clustering method. The model-based analysis identified six subpopulations, which satisfactorily explained the genetic structure of the AM panel. AM analysis identified three SSRs (PBALC 13, PBALC 206, and GLLC 563) associated with grain Fe concentration explaining 9% to 11% of phenotypic variation and four SSRs (PBALC 353, SSR 317-1, PLC 62, and PBALC 217) were associated with grain Zn concentration explaining 14%, to 21% of phenotypic variation. These identified SSRs exhibited consistent performance across locations. These candidate SSRs can be used in marker-assisted genetic improvement for developing Fe and Zn fortified lentil varieties. Favorable alleles and promising genotypes identified in this study can be utilized for lentil biofortification.
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Registered trials
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