PSXI-3 Comparing the heritability of methane emission traits in cattle and sheep: A Meta-analysis.

Abstract One source of greenhouse gases is the natural production of enteric methane from microbial fermentation in a ruminant’s digestive system. In recent years, genetic selection has been identified as a possible approach to reducing these emissions due to the identification of methane production as a heritable trait. However, heritability estimates might vary according to the animal type or their purpose (i.e., beef or dairy production), or measurement method. The objective of this study was to conduct a systemic literature review and a meta-analysis comparing heritability estimates of methane production. The literature review identified 38 unique methane production heritability estimates across 31 different studies that provided standard errors of the estimates. Purpose of animal (Beef cattle, Dairy cattle, or Dual-Purpose Sheep), collection methods (Greenfeed, Chambers (Respiration/Portable Accumulation), SF6, or Sniffers), and geographical location (Australia, Europe, New Zealand, or North America) were among the variables extracted from each study into Excel. Methane production heritability estimates from both directly measured methane and MIR/DMI predicted measures of methane production were also extracted from the studies. A generalized linear fixed effects model assuming a Beta distribution of the estimates and logit link function was fit using SAS 9.4 Proc GLIMMIX. Due to the dataset not having effective cross-classification across the levels of factors, no two-way interactions were tested. Across the studies, an average moderately low heritability was found at 0.17 ± 0.01 with a minimum and maximum of 0.11 and 0.43, respectively. Heritability estimates were weighted using the reported standard errors. Preliminary results showed that the fixed effects of collection method (P=0.002), animal purpose (P< 0.001), and geographical location (P< 0.001) were all significant. Prediction type (Direct or Predicted) was found to be non-significant (P=0.93), further supporting the potential effectiveness of methods for predicting methane production. Compared to New Zealand, the log-odds estimates of Europe, Australia, and America decrease by -1.3 ± 0.45, -1 ± 0.27, and -0.49 ± 0.47, respectively. While the estimates for beef increase by 0.63 ± 0.24 compared to sheep and estimates for dairy decrease by -0.45 ± 0.30. Further models incorporating other variables are being developed to potentially investigate the impact of the frequency of measurements. These preliminary findings suggest that there can be significant impacts of collection method, animal type, and geographical location on the estimated heritability of methane production. However, further work needs to be done to refine these analyses and investigate other potentially contributing factors.

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Publication Details

Journal
Journal of Animal Science
Published
2025-10-01
DOI
https://doi.org/10.1093/jas/skaf300.542
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
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article

PSXI-3 Comparing the heritability of methane emission traits in cattle and sheep: A Meta-analysis.

Flávio Schramm Schenkel, Christine F. Baes, Emily M. Leishman, J.L. Ellis et al.
Journal of Animal Science
Agriculture Sustainability and Environmental Impact
article

PSXI-3 Comparing the heritability of methane emission traits in cattle and sheep: A Meta-analysis.

Flávio Schramm Schenkel, Christine F. Baes, Emily M. Leishman, J.L. Ellis, Timothy Houghton, Ricarda E Jahnel, F. Miglior, Natalee T Richardson
article en

Abstract

Abstract One source of greenhouse gases is the natural production of enteric methane from microbial fermentation in a ruminant’s digestive system. In recent years, genetic selection has been identified as a possible approach to reducing these emissions due to the identification of methane production as a heritable trait. However, heritability estimates might vary according to the animal type or their purpose (i.e., beef or dairy production), or measurement method. The objective of this study was to conduct a systemic literature review and a meta-analysis comparing heritability estimates of methane production. The literature review identified 38 unique methane production heritability estimates across 31 different studies that provided standard errors of the estimates. Purpose of animal (Beef cattle, Dairy cattle, or Dual-Purpose Sheep), collection methods (Greenfeed, Chambers (Respiration/Portable Accumulation), SF6, or Sniffers), and geographical location (Australia, Europe, New Zealand, or North America) were among the variables extracted from each study into Excel. Methane production heritability estimates from both directly measured methane and MIR/DMI predicted measures of methane production were also extracted from the studies. A generalized linear fixed effects model assuming a Beta distribution of the estimates and logit link function was fit using SAS 9.4 Proc GLIMMIX. Due to the dataset not having effective cross-classification across the levels of factors, no two-way interactions were tested. Across the studies, an average moderately low heritability was found at 0.17 ± 0.01 with a minimum and maximum of 0.11 and 0.43, respectively. Heritability estimates were weighted using the reported standard errors. Preliminary results showed that the fixed effects of collection method (P=0.002), animal purpose (P< 0.001), and geographical location (P< 0.001) were all significant. Prediction type (Direct or Predicted) was found to be non-significant (P=0.93), further supporting the potential effectiveness of methods for predicting methane production. Compared to New Zealand, the log-odds estimates of Europe, Australia, and America decrease by -1.3 ± 0.45, -1 ± 0.27, and -0.49 ± 0.47, respectively. While the estimates for beef increase by 0.63 ± 0.24 compared to sheep and estimates for dairy decrease by -0.45 ± 0.30. Further models incorporating other variables are being developed to potentially investigate the impact of the frequency of measurements. These preliminary findings suggest that there can be significant impacts of collection method, animal type, and geographical location on the estimated heritability of methane production. However, further work needs to be done to refine these analyses and investigate other potentially contributing factors.

Journal of Animal ScienceVol. 103(Supplement_3)
Aarhus University (DK), University of Guelph (CA)
Openalex Percentile: Top 73%
Agriculture Sustainability and Environmental Impact
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