Evidence map›Paper›PMID 37815669›Full record

ArticleMolecular biology reports2023

Genetic potential of grain-related traits in rice landraces: phenomics and multi-locus association analyses.

Maya Peringottillam, Krishna T Sundaram, Alagu Manickavelu

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Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

3 authors.

Maya PeringottillamDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye, Kasaragod, 671316, Kerala, India.
Krishna T SundaramDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye, Kasaragod, 671316, Kerala, India.
Alagu ManickaveluDepartment of Genomic Science, Central University of Kerala, Tejaswini Hills, Periye, Kasaragod, 671316, Kerala, India. amanicks@cukerala.ac.in.ORCID http://orcid.org/0000-0003-2875-2290

Funding

DST-SERB ECR/2016/001934
6 · The paper itself

Abstract

backgroundGrain length, width, weight, and the number of grains per panicle are crucial determinants contributing to yield in cereal crops. Understanding the genetic basis of grain-related traits has been the main research object in crop science. METHODS AND

resultsKerala has a collection of different rice landraces. Characterization of these valuable genetic resources for 39 distinct agro-morphological traits was carried out in two seasons from 2017 to 2019 directly in farmers field. Most characteristics were polymorphic except ligule shape, leaf angle, and panicle axis. The results of principal component analysis implied that leaf length, plant height, culm length, flag leaf length, and grain-related traits were the principal discriminatory characteristics of rice landraces. For identifying the genetic basis of key grain traits of rice, three multi locus GWAS models were performed based on 1,47,994 SNPs in 73 rice accessions. As a result, 48 quantitative trait nucleotides (QTNs) were identified to be associated with these traits. After characterization of their function and expression, 15 significant candidate genes involved in regulating grain width, number of grains per panicle, and yield were identified.

conclusionsThe detected QTNs and candidate genes in this study could be further used for marker-assisted high-quality breeding of rice.

Indexed as

Edible GrainOryzaPhenomicsPlant BreedingQuantitative Trait LociGenome-wide association mappingGrain-related traits.Multi-locus modelRice landracesSNP

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