Evidence map›Paper›PMID 42450718›Full record

ArticleAnimals : an open access journal from MDPI2026

Weighted Single-Step Genomic Evaluation of Body Structural Traits for Early Selection of Growth Performance in Thai Swamp Buffalo.

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

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

8 authors.

Wootichai KenchaiwongSmall Ruminant Research Unit, Faculty of Veterinary Science, Mahasarakham University, Mahasarakham 44000, Thailand.ORCID 0000-0001-6153-0126
Vibuntita ChankitisakulNetwork Center for Animal Breeding and Omics Research, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0003-3619-8680
Monchai DuangjindaNetwork Center for Animal Breeding and Omics Research, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0001-7044-8271
Rawinan LomngamDepartment of Animal Science, Faculty of Agriculture, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0009-0003-7167-8054
Kecha KuhaDepartment of Animal Science, Faculty of Agriculture, Ubon Ratchathani Rajabhat University, Ubon Ratchathani 33000, Thailand.ORCID 0000-0002-0776-8800
Kitsanathon SintalaDepartment of Animal Science and Fisheries, Faculty of Sciences and Agricultural Technology, Rajamangala University of Technology Lanna, Nan 55000, Thailand.ORCID 0000-0002-5337-3359
Kulphat PothikanitBuffalo Research and Development Group, Animal Breed Development Office, Department of Livestock Production, Bangkok 10400, Thailand.ORCID 0009-0001-0904-4531
Wuttigrai BoonkumNetwork Center for Animal Breeding and Omics Research, Khon Kaen University, Khon Kaen 40002, Thailand.ORCID 0000-0003-2239-2300

Funding

The Agricultural Research Development Agency (Public Organization), the Research Program of Khon Kaen University, and Mahasarakham University RA2566-03
6 · The paper itself

Abstract

Early identification of genetically superior animals is important for improving growth performance and accelerating genetic gain in swamp buffalo breeding programs. This study investigated the genetic relationships between growth and body structural traits and evaluated their potential use as early selection indicators in Thai swamp buffalo. Phenotypic records from 1034 animals and genotypic data from 462 buffaloes genotyped with 30,979 SNP markers were analyzed using weighted single-step genomic best linear unbiased prediction (WssGBLUP) and weighted single-step Genome-Wide Association Study (WssGWAS) approaches. Moderate to high heritability estimates were observed for growth traits (0.41-0.59), whereas body structural traits showed low to moderate heritability (0.08-0.27). Positive genetic correlations were identified between growth traits and several structural traits, particularly heart girth, hip height, and body depth. Principal component analysis identified two major components explaining 80.1% of the total phenotypic variation, with the first principal component (PC1) representing overall body size and skeletal development. PC1 also showed relatively high heritability (0.57), indicating its potential utility as a composite selection trait. Genome-wide association analysis identified significant SNPs and candidate genes associated with weaning weight and PC1, including

Indexed as

Bubalus bubalisgenetic parametergenomicgrowth traitGWAStype trait

Identifiers

PMID42450718
PMCPMC13359858

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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.