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Genomic selection for methane emission

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Genomic selection for methane emission. / de Haas, Yvette; Pryce, Jennie E; Wall, Eileen et al.

In: Journal of Animal Science, Vol. 94, No. supplement 5, 0407, 09.11.2016, p. 197-198.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaperConference abstract in journalResearch

Harvard

de Haas, Y, Pryce, JE, Wall, E, McParland, S, Manzanilla-Pech, C, Difford, G & Lassen, J 2016, 'Genomic selection for methane emission', Journal of Animal Science, vol. 94, no. supplement 5, 0407, pp. 197-198. https://doi.org/10.2527/jam2016-0407

APA

de Haas, Y., Pryce, J. E., Wall, E., McParland, S., Manzanilla-Pech, C., Difford, G., & Lassen, J. (2016). Genomic selection for methane emission. Journal of Animal Science, 94(supplement 5), 197-198. [0407]. https://doi.org/10.2527/jam2016-0407

CBE

de Haas Y, Pryce JE, Wall E, McParland S, Manzanilla-Pech C, Difford G, Lassen J. 2016. Genomic selection for methane emission. Journal of Animal Science. 94(supplement 5):197-198. https://doi.org/10.2527/jam2016-0407

MLA

de Haas, Yvette et al. "Genomic selection for methane emission". Journal of Animal Science. 2016, 94(supplement 5). 197-198. https://doi.org/10.2527/jam2016-0407

Vancouver

de Haas Y, Pryce JE, Wall E, McParland S, Manzanilla-Pech C, Difford G et al. Genomic selection for methane emission. Journal of Animal Science. 2016 Nov 9;94(supplement 5):197-198. 0407. https://doi.org/10.2527/jam2016-0407

Author

de Haas, Yvette ; Pryce, Jennie E ; Wall, Eileen et al. / Genomic selection for methane emission. In: Journal of Animal Science. 2016 ; Vol. 94, No. supplement 5. pp. 197-198.

Bibtex

@article{188213e626854847b14fd19784ad352b,
title = "Genomic selection for methane emission",
abstract = "Climate change is a growing area of international concern,and it is well established that the release of greenhouse gases(GHG) is a contributing factor. Of the various GHG producedby ruminants, enteric methane (CH4) is the most importantcontributor. One mitigation strategy is to reduce methane emissionthrough genetic selection. Our first attempt used beef cattleand a GWAS to identify genes associated with several CH4traits in Angus beef cattle. The Angus population consisted of1020 animals with phenotypes on methane production (MeP),dry matter intake (DMI), and weight (WT). Additionally, twonew methane traits: residual genetic methane (RGM) and residualphenotypic methane (RPM) were calculated by adjustingCH4 for DMI and WT. Animals were genotyped using the800k Illumina Bovine HD Array. Estimated heritabilities were0.30, 0.19 and 0.15 for MeP, RGM and RPM respectively,and estimated genetic correlations of MeP with DMI and WTwere 0.83 and 0.80, respectively. Strong associations with MePwere found on chromosomes 4, 12, 14, 19, and 30. We haverecently tried another approach in dairy cattle, where we aimedto enlarge the reference population for genomic selection bycombining data on methane emissions in dairy cattle usingdata from 5 countries (Australia, Denmark, Ireland, the Netherlandsand UK). The total dataset consists of 3060 dairy cows,of which most were genotyped, but with various kinds of SNPchips. We ended up with a uniform set of SNPs for each cow.Even though three different types of measurement equipment(laser, sniffer and SF6) and protocols (measuring for 3 d, 1 wk,multiple weeks) were used, these data will be analyzed jointlyto establish genetic and genomic parameters for enteric methane.The average methane production was 448 g/d in Australia(354 cows); 554 g/d in Denmark (1769 cows); 381 g/d in IRL(260 cows); 549 g/d in NL (457 cows); and 325 g/d in UK (216cows). This clearly shows that the populations and diets aredifferent in addition to the equipment and protocol. Therefore,a multi-trait approach will be used in the analysis. Followingthe experiences of a similar project (gDMI), it is expected thateach country will benefit for contributing to an international reference set with increased accuracies of the estimates.Key Words: esnteric methane, genomic selection,international collaborationdoi: 10.2527/jam2016-0407",
author = "{de Haas}, Yvette and Pryce, {Jennie E} and Eileen Wall and S McParland and Coralia Manzanilla-Pech and Gareth Difford and Jan Lassen",
year = "2016",
month = nov,
day = "9",
doi = "10.2527/jam2016-0407",
language = "English",
volume = "94",
pages = "197--198",
journal = "Journal of Animal Science",
issn = "0021-8812",
publisher = "AMER SOC ANIMAL SCIENCE",
number = "supplement 5",

}

RIS

TY - ABST

T1 - Genomic selection for methane emission

AU - de Haas, Yvette

AU - Pryce, Jennie E

AU - Wall, Eileen

AU - McParland, S

AU - Manzanilla-Pech, Coralia

AU - Difford, Gareth

AU - Lassen, Jan

PY - 2016/11/9

Y1 - 2016/11/9

N2 - Climate change is a growing area of international concern,and it is well established that the release of greenhouse gases(GHG) is a contributing factor. Of the various GHG producedby ruminants, enteric methane (CH4) is the most importantcontributor. One mitigation strategy is to reduce methane emissionthrough genetic selection. Our first attempt used beef cattleand a GWAS to identify genes associated with several CH4traits in Angus beef cattle. The Angus population consisted of1020 animals with phenotypes on methane production (MeP),dry matter intake (DMI), and weight (WT). Additionally, twonew methane traits: residual genetic methane (RGM) and residualphenotypic methane (RPM) were calculated by adjustingCH4 for DMI and WT. Animals were genotyped using the800k Illumina Bovine HD Array. Estimated heritabilities were0.30, 0.19 and 0.15 for MeP, RGM and RPM respectively,and estimated genetic correlations of MeP with DMI and WTwere 0.83 and 0.80, respectively. Strong associations with MePwere found on chromosomes 4, 12, 14, 19, and 30. We haverecently tried another approach in dairy cattle, where we aimedto enlarge the reference population for genomic selection bycombining data on methane emissions in dairy cattle usingdata from 5 countries (Australia, Denmark, Ireland, the Netherlandsand UK). The total dataset consists of 3060 dairy cows,of which most were genotyped, but with various kinds of SNPchips. We ended up with a uniform set of SNPs for each cow.Even though three different types of measurement equipment(laser, sniffer and SF6) and protocols (measuring for 3 d, 1 wk,multiple weeks) were used, these data will be analyzed jointlyto establish genetic and genomic parameters for enteric methane.The average methane production was 448 g/d in Australia(354 cows); 554 g/d in Denmark (1769 cows); 381 g/d in IRL(260 cows); 549 g/d in NL (457 cows); and 325 g/d in UK (216cows). This clearly shows that the populations and diets aredifferent in addition to the equipment and protocol. Therefore,a multi-trait approach will be used in the analysis. Followingthe experiences of a similar project (gDMI), it is expected thateach country will benefit for contributing to an international reference set with increased accuracies of the estimates.Key Words: esnteric methane, genomic selection,international collaborationdoi: 10.2527/jam2016-0407

AB - Climate change is a growing area of international concern,and it is well established that the release of greenhouse gases(GHG) is a contributing factor. Of the various GHG producedby ruminants, enteric methane (CH4) is the most importantcontributor. One mitigation strategy is to reduce methane emissionthrough genetic selection. Our first attempt used beef cattleand a GWAS to identify genes associated with several CH4traits in Angus beef cattle. The Angus population consisted of1020 animals with phenotypes on methane production (MeP),dry matter intake (DMI), and weight (WT). Additionally, twonew methane traits: residual genetic methane (RGM) and residualphenotypic methane (RPM) were calculated by adjustingCH4 for DMI and WT. Animals were genotyped using the800k Illumina Bovine HD Array. Estimated heritabilities were0.30, 0.19 and 0.15 for MeP, RGM and RPM respectively,and estimated genetic correlations of MeP with DMI and WTwere 0.83 and 0.80, respectively. Strong associations with MePwere found on chromosomes 4, 12, 14, 19, and 30. We haverecently tried another approach in dairy cattle, where we aimedto enlarge the reference population for genomic selection bycombining data on methane emissions in dairy cattle usingdata from 5 countries (Australia, Denmark, Ireland, the Netherlandsand UK). The total dataset consists of 3060 dairy cows,of which most were genotyped, but with various kinds of SNPchips. We ended up with a uniform set of SNPs for each cow.Even though three different types of measurement equipment(laser, sniffer and SF6) and protocols (measuring for 3 d, 1 wk,multiple weeks) were used, these data will be analyzed jointlyto establish genetic and genomic parameters for enteric methane.The average methane production was 448 g/d in Australia(354 cows); 554 g/d in Denmark (1769 cows); 381 g/d in IRL(260 cows); 549 g/d in NL (457 cows); and 325 g/d in UK (216cows). This clearly shows that the populations and diets aredifferent in addition to the equipment and protocol. Therefore,a multi-trait approach will be used in the analysis. Followingthe experiences of a similar project (gDMI), it is expected thateach country will benefit for contributing to an international reference set with increased accuracies of the estimates.Key Words: esnteric methane, genomic selection,international collaborationdoi: 10.2527/jam2016-0407

U2 - 10.2527/jam2016-0407

DO - 10.2527/jam2016-0407

M3 - Conference abstract in journal

VL - 94

SP - 197

EP - 198

JO - Journal of Animal Science

JF - Journal of Animal Science

SN - 0021-8812

IS - supplement 5

M1 - 0407

ER -