Evidence map›Paper›PMID 42700263›Full record

ArticleMolecular genetics and genomics : MGG2026

Dissecting genetic architecture of growth and yield traits in horsegram using GWAS.

Sunny Choudhary, Manisha Gautam, Rakesh Kumar Chahota

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Article in Molecular genetics and genomics : MGG, 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

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sunny ChoudharyDepartment of Agricultural Biotechnology, CSK Himachal Pradesh Agriculture University Palampur, Kangra, 176062, India.
Manisha GautamDepartment of Agricultural Biotechnology, CSK Himachal Pradesh Agriculture University Palampur, Kangra, 176062, India.
Rakesh Kumar ChahotaDepartment of Agricultural Biotechnology, CSK Himachal Pradesh Agriculture University Palampur, Kangra, 176062, India. rkchahota@gmail.com.ORCID https://orcid.org/0000-0001-9029-4345

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/Ag/Network/Pulses-I/2017-1Science and Engineering Research Board BT/Ag/Network/Pulses-I/2017-1 dated 24.10.2018
6 · The paper itself

Abstract

Horsegram (Macrotyloma uniflorum), a member of the Fabaceae family, is a nutritious and low-cost legume used for both grain and fodder. This study employed a genome-wide association approach to identify loci linked to key agronomic traits in horsegram. Plant height, seed size, and shoot fresh weight were evaluated in a panel of 96 diverse genotypes. GBS was performed using the Illumina HiSeq platform, yielding 20,241 high-quality SNPs after filtering at a 5% minor allele frequency. Population structure analysis classified genotypes into three admixed subgroups. Phenotyping was conducted over three consecutive years at two locations in Himachal Pradesh (Palampur and Bajaura) using a randomized block design with two replications. GWAS analyses using GLM, MLM, FarmCPU, and BLINK models identified eight markers for plant height, three for seed size, and five for shoot fresh weight across different chromosomes. These markers provide valuable tools for accelerating trait improvement in future horsegram breeding programs.

Indexed as

FabaceaeGenome-Wide Association StudyQuantitative Trait LociChromosome MappingGenotypePhenotypePlant BreedingPolymorphism, Single NucleotideSeedsGBSGenomic regionGWASHorsegramQTLsSNP

Identifiers

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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.