Evidence map›Paper›PMID 40867662›Full record

ArticleAnimals : an open access journal from MDPI2025

Integrating Genomic Selection and Genome-Wide Association Study to Enhance Reproductive Traits in Thai Swamp Buffalo.

Rawinan Lomngam, Vibuntita Chankitisakul, Monchai Duangjinda, Wootichai Kenchaiwong, Kecha Kuha, Kritsanathon Sintala, Kulphat Pothikanit, Wuttigrai Boonkum

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
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

8 authors.

Rawinan LomngamDepartment of Animal Science, Faculty of Agriculture, Khon Kean University, Khon Kean 40002, Thailand.
Vibuntita ChankitisakulDepartment of Animal Science, Faculty of Agriculture, Khon Kean University, Khon Kean 40002, Thailand.ORCID 0000-0003-3619-8680
Monchai DuangjindaDepartment of Animal Science, Faculty of Agriculture, Khon Kean University, Khon Kean 40002, Thailand.ORCID 0000-0001-7044-8271
Wootichai KenchaiwongNetwork Center for Animal Breeding and Omics Research, Khon Kaen University, Khon Kaen 40002, Thailand.
Kecha KuhaDepartment of Animal Science, Faculty of Agriculture, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 33000, Thailand.ORCID 0000-0002-0776-8800
Kritsanathon SintalaDepartment of Animal Science and Fisheries, Faculty of Sciences and Agricultural Technology, Rajamangala University of Technology Lanna, Nan 55000, Thailand.
Kulphat PothikanitBuffalo Research and Development Group, Animal Breed Development Office, Department of Livestock Production, Bangkok 10400, Thailand.
Wuttigrai BoonkumDepartment of Animal Science, Faculty of Agriculture, Khon Kean University, Khon Kean 40002, Thailand.ORCID 0000-0003-2239-2300

Funding

Agricultural Research Development Agency (Public Organization) and Research Program of Khon Kaen University No grant number
6 · The paper itself

Abstract

Reproductive inefficiencies, such as delayed age at first calving (AFC) and a prolonged calving interval (CI), hinder the productivity of Thai swamp buffaloes. This study aimed to improve the genetic evaluation of these traits by integrating genomic selection (GS) and genome-wide association studies (GWASs). Reproductive records (n = 1034) and genotypes (n = 474) from swamp buffaloes across Thailand were analyzed. Variance components were estimated using pedigree data, and genomic predictions were performed via weighted single-step genomic best linear unbiased prediction. AFC heritability was moderate (0.36 and 0.45), whereas CI heritability was low (0.051 and 0.043). The positive genetic correlation (rg = 0.495 and 0.517) between AFC and CI suggested potential for the simultaneous genetic improvement of both traits through selection. The WssGBLUP method showed greater effectiveness, with the prediction accuracy increasing by up to 41% for CI and 28% for AFC when compared to the ABLUP method. The GWAS revealed 20 associated single-nucleotide polymorphisms (SNPs) on chromosomes 3, 4, 14, 15, and 25. Candidate genes

Indexed as

age at first calvingcalving intervalcandidate genegenetic parameterSNP

Identifiers

PMID40867662
PMCPMC12383018

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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.