Literature DB >> 27898855

Genomewide association study of methane emissions in Angus beef cattle with validation in dairy cattle.

C I V Manzanilla-Pech, Y De Haas, B J Hayes, R F Veerkamp, M Khansefid, K A Donoghue, P F Arthur, J E Pryce.   

Abstract

Methane (CH) is a product of enteric fermentation in ruminants, and it represents around 17% of global CH emissions. There has been substantial effort from the livestock scientific community toward tools that can help reduce this percentage. One approach is to select for lower emitting animals. To achieve this, accurate genetic parameters and identification of the genomic basis of CH traits are required. Therefore, the objectives of this study were 1) to perform a genomewide association study to identify SNP associated with several CH traits in Angus beef cattle (1,020 animals) and validate them in a lactating Holstein population (population 1 [POP1]; 205 animals); 2) to validate significant SNP for DMI and weight at test (WT) from a second Holstein population, from a previous study (population 2 [POP2]; 903 animals), in an Angus population; and 3) to evaluate 2 different residual CH traits and determine if the genes associated with CH also control residual CH traits. Phenotypes calculated for the genotyped Angus population included CH production (MeP), CH yield (MeY), CH intensity (MI), DMI, and WT. The Holstein population (POP1) was multiparous, with phenotypes on CH traits (MeP, MeY, and MI) plus genotypes. Additionally, 2 CH traits, residual genetic CH (RGM) and residual phenotypic CH (RPM), were calculated by adjusting MeP for DMI and WT. Estimated heritabilities in the Angus population were 0.30, 0.19, and 0.15 for MeP, RGM, and RPM, respectively, and genetic correlations of MeP with DMI and WT were 0.83 and 0.80, respectively. Estimated heritabilities in Holstein POP1 were 0.23, 0.30, and 0.42 for MeP, MeY, and MI, respectively. Strong associations with MeP were found on chromosomes 4, 12, 14, 20, and 30 at < 0.001, and those chromosomes also had significant SNP for DMI in Holstein POP1. In the Angus population, the number of significant SNP for MeP at < 0.005 was 3,304, and approximately 630 of those SNP also were important for DMI and WT. When a set (approximately 3,300) of significant SNP for DMI and WT in the Angus population was used to estimate genetic parameters for MeP and MeY in Holstein POP1, the genetic variance and, consequently, the heritability slightly increased, meaning that most of the genetic variation is largely captured by these SNP. Residual traits could be a good option to include in the breeding goal, as this would facilitate selection for lower emitting animals without compromising DMI and WT.

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Year:  2016        PMID: 27898855     DOI: 10.2527/jas.2016-0431

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  13 in total

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2.  Estimates of the genetic contribution to methane emission in dairy cows: a meta-analysis.

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Journal:  Sci Rep       Date:  2022-07-19       Impact factor: 4.996

3.  Eating Time as a Genetic Indicator of Methane Emissions and Feed Efficiency in Australian Maternal Composite Sheep.

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4.  Differences in the Composition of the Rumen Microbiota of Finishing Beef Cattle Divergently Ranked for Residual Methane Emissions.

Authors:  Paul E Smith; Alan K Kelly; David A Kenny; Sinéad M Waters
Journal:  Front Microbiol       Date:  2022-04-29       Impact factor: 6.064

5.  Genomic predictions for enteric methane production are improved by metabolome and microbiome data in sheep (Ovis aries).

Authors:  Elizabeth M Ross; Ben J Hayes; David Tucker; Jude Bond; Stuart E Denman; Victor Hutton Oddy
Journal:  J Anim Sci       Date:  2020-10-01       Impact factor: 3.159

6.  Genome-wide association identifies methane production level relation to genetic control of digestive tract development in dairy cows.

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7.  Assessment of methane emission traits in ewes using a laser methane detector: genetic parameters and impact on lamb weaning performance.

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8.  Genome-Wide Association Studies for Methane Production in Dairy Cattle.

Authors:  R Calderón-Chagoya; J H H Hernandez-Medrano; F J J Ruiz-López; A Garcia-Ruiz; V E E Vega-Murillo; M Montano-Bermudez; M E E Arechavaleta-Velasco; E Gonzalez-Padilla; E I I Mejia-Melchor; N Saunders; J A A Bonilla-Cardenas; P C C Garnsworthy; S I I Román-Ponce
Journal:  Genes (Basel)       Date:  2019-12-02       Impact factor: 4.096

9.  Genome-wide association studies for methane emission and ruminal volatile fatty acids using Holstein cattle sequence data.

Authors:  Ali Jalil Sarghale; Mohammad Moradi Shahrebabak; Hossein Moradi Shahrebabak; Ardeshir Nejati Javaremi; Mahdi Saatchi; Majid Khansefid; Younes Miar
Journal:  BMC Genet       Date:  2020-11-23       Impact factor: 2.797

10.  Genetic and genomic analyses for predicted methane-related traits in Japanese Black steers.

Authors:  Yoshinobu Uemoto; Masayuki Takeda; Atushi Ogino; Kazuhito Kurogi; Shinichro Ogawa; Masahiro Satoh; Fuminori Terada
Journal:  Anim Sci J       Date:  2020 Jan-Dec       Impact factor: 1.749

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