Evidence map›Paper›PMID 42277640›Full record

ArticleBMC plant biology2026

Genomic prediction in dolichos bean (Lablab purpureus L. Sweet) breeding: choice of the type of training population and selection generation.

Mugali Pundalik Kalpana, Chandrappa Anilkumar, Channabasava, Gonal Basanagouda, Chindi Basavaraj Siddu, Sampangi Ramesh, Dinesh Sindhu, Hosakoti Satish, Munegowda Kemparaju, K Madhusudan and 3 more

Abstract read
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Article in BMC plant biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Mugali Pundalik KalpanaDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0000-0002-6152-7960
Chandrappa AnilkumarDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India. anilcgpb@gmail.com.ORCID http://orcid.org/0000-0002-7359-1249
ChannabasavaDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0000-0003-1226-9931
Gonal BasanagoudaICAR- Central Institute for Cotton Research, Nagpur, Maharashtra, India.ORCID http://orcid.org/0000-0003-1750-6641
Chindi Basavaraj SidduDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0000-0002-8466-4802
Sampangi RameshDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India. ramesh_uasb@rediffmail.com.ORCID http://orcid.org/0000-0001-9666-7974
Dinesh SindhuDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0009-0006-6590-5128
Hosakoti SatishDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0000-0002-0250-8508
Munegowda KemparajuDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0009-0007-7544-8503
K MadhusudanDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.
V SpoorthiDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.
Rath BidwanDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0009-0005-6384-3843
Balthikumeru Vishwanatha SinchanaDepartment of Genetics and Plant Breeding, College of Agriculture, University of Agricultural Sciences, Bangalore, Karnataka, India.ORCID http://orcid.org/0009-0001-0684-7814

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dolichos bean is a nutritionally rich yet underutilized orphan legume crop. Conventional phenotype-based genetic improvement has been slow; therefore, integrating genomic selection (GS) into breeding programs is essential to accelerate genetic gain. Our objective in this study was to optimize the factors influencing GS success in dolichos bean by identifying: (i) the most effective GS model, (ii) an appropriate training population (TP), and (iii) the ideal selection generation for fresh pod yield. Four populations with distinct genetic structures were evaluated for fresh pod yield and genotyped using 413 SSR markers distributed across 11 linkage groups. The TPs were evaluated across five environments (locations and/or years), whereas the breeding populations (BPs) were evaluated over two seasons. Four GS models were trained on two differentially structured TPs and validated on two breeding populations. The optimal generation for genomic prediction was assessed by comparing an early-generation segregating population (F

Indexed as

FabaceaeGenome, PlantPlant BreedingSelection, GeneticGenomicsGenotypeModels, GeneticPhenotypeBreeding valuesDolichos beanFresh pod yieldGenomic selectionOrphan legume

Identifiers

PMID42277640
PMCPMC13483640

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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.