ArticleBMC genetics2020
Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data.
Article in BMC genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Genomic dissection of methane emission traits in cattle: A meta-GWAS and heritability analysis across populations.PloS one · 2026Pooled it
- Blood-derived gene expression profiles associated with dietary microalgae oil intake and methane emission variation in lambs.BMC genomics · 2026Article
- Potential Applications of Genome-Wide Association Studies in Establishing Climate Resilience in Livestock: A Comprehensive Review.International journal of molecular sciences · 2026Review
- Runs of homozygosity in Italian Holstein bulls: a permutation approach and time-based mapping of the genomic regions potentially under selection.BMC genomics · 2026Article
- Whole-genome sequencing GWAS reveals bovine genomic effects on enteric methane emissions in beef cattle.Scientific reports · 2025Article
- Identification of candidate gene networks affecting the number of somatic cells count and milk production in Iranian Holstein cows using Genome-wide association study.Scientific reports · 2025Article
- Genome-wide association analysis revealed novel candidate genes for body measurement traits in indigenous Gudali and crossbred Simgud in Cameroon.BMC genomics · 2025Article
- Genome-wide association studies and candidate genes networks affecting reproductive traits using Iranian Holstein sequence data.BMC genomics · 2025Article
- Sequence-based GWAS reveals genes and variants associated with predicted methane emissions in French dairy cows.Genetics, selection, evolution : GSE · 2025Article
- Genetic advancements and future directions in ruminant livestock breeding: from reference genomes to multiomics innovations.Science China. Life sciences · 2025Review
- Unraveling the genetic basis of methane emission in dairy cattle: a comprehensive exploration and breeding approach to lower methane emissions.Animal biotechnology · 2024Review
- A Pilot Detection and Associate Study of Gene Presence-Absence Variation in Holstein Cattle.Animals : an open access journal from MDPI · 2024Article
- Heritability estimates and genome-wide association study of methane emission traits in Nellore cattle.Journal of animal science · 2024Article
- Holistic View and Novel Perspective on Ruminal and Extra-Gastrointestinal Methanogens in Cattle.Microorganisms · 2023Review
- Applying assisted reproductive technology and reproductive management to reduce COAnimal reproduction · 2023Article
- Host genetics associated with gut microbiota and methane emission in cattle.Molecular biology reports · 2022Review
- Identification of Candidate Genes Regulating Carcass Depth and Hind Leg Circumference in Simmental Beef Cattle Using Illumina Bovine Beadchip and Next-Generation Sequencing Analyses.Animals : an open access journal from MDPI · 2022Article
- Climate-Resilient Dairy Cattle Production: Applications of Genomic Tools and Statistical Models.Frontiers in veterinary science · 2021Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMethane emission by ruminants has contributed considerably to the global warming and understanding the genomic architecture of methane production may help livestock producers to reduce the methane emission from the livestock production system. The goal of our study was to identify genomic regions affecting the predicted methane emission (PME) from volatile fatty acids (VFAs) indicators and VFA traits using imputed whole-genome sequence data in Iranian Holstein cattle.
resultsBased on the significant-association threshold (p < 5 × 10
conclusionsOur results identified 33 SNPs associated with PME and valeric acid traits, as well as 17 olfactory receptors activity genes for PME traits related to feed intake and preference. Identified SNPs were close to 31 QTLs for milk yield and its components, body weight, and residual feed intake traits. In addition, these traits had high correlations with PME trait. Overall, our findings suggest that marker-assisted and genomic selection could be used to improve the difficult and expensive-to-measure phenotypes such as PME. Moreover, prediction of methane emission by VFA indicators could be useful for increasing the size of reference population required in genome-wide association studies and genomic selection.
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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.