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A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle

Ruminants, particularly dairy and beef cattle, contribute to climate change through mostly enteric methane emissions. Several mitigating options have been proposed, including the feed additive 3-nitrooxypropanol (3-NOP). The objectives of this study were to explain the variability in the mitigating...

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Autores principales: Kebreab, Ermias, Bannink, André, Pressman, Eleanor May, Walker, Nicola, Karagiannis, Alexios, van Gastelen, Sanne, Dijkstra, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868067/
https://www.ncbi.nlm.nih.gov/pubmed/36494226
http://dx.doi.org/10.3168/jds.2022-22211
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author Kebreab, Ermias
Bannink, André
Pressman, Eleanor May
Walker, Nicola
Karagiannis, Alexios
van Gastelen, Sanne
Dijkstra, Jan
author_facet Kebreab, Ermias
Bannink, André
Pressman, Eleanor May
Walker, Nicola
Karagiannis, Alexios
van Gastelen, Sanne
Dijkstra, Jan
author_sort Kebreab, Ermias
collection PubMed
description Ruminants, particularly dairy and beef cattle, contribute to climate change through mostly enteric methane emissions. Several mitigating options have been proposed, including the feed additive 3-nitrooxypropanol (3-NOP). The objectives of this study were to explain the variability in the mitigating effect of 3-NOP and to investigate the interaction between diet composition and 3-NOP dose, using meta-analytical approaches. Data from 13 articles (14 experiments) met the selection criteria for inclusion in the meta-analysis, and 48 treatment means were used for the analysis. Mean differences were calculated as 3-NOP treatment mean minus control treatment mean and then expressed as a percentage of the control mean. Three types of models were developed: (1) one including 3-NOP dose, overall mean, and individual covariate; (2) a combination of neutral detergent fiber (NDF), 3-NOP dose, and overall mean; and (3) one selected model from all combinations of up to 5 covariates, which were compared using a leave-one-out cross validation method. Models including only 3-NOP dose resulted in a significant reduction of 32.7%, 30.9%, and 32.6% for CH(4) production (g/d), yield (g/kg dry matter intake), and intensity (g/kg energy-corrected milk), respectively, at an average 3-NOP dose of 70.5 mg/kg dry matter (DM). The greater the NDF content in the diet, the lower the reduction efficiency for a given 3-NOP dose. For 10 g/kg DM increase in NDF content from its mean (329 g of NDF/kg of DM) the 3-NOP effect on CH(4) production was impaired by 0.633%, the 3-NOP effect on CH(4) yield by 0.647%, and the 3-NOP effect on CH(4) intensity by 0.723%. The analysis based on leave-one-out cross validation showed an increase in NDF and crude fat content reduces efficacy of 3-NOP and an increase in 3-NOP dose increases efficacy. A 1% (10 g/kg) DM decrease in dietary NDF content from its mean may increase the efficacy of 3-NOP in reducing CH(4) production by 0.915%. A 1% (10 g/kg DM) decrease in dietary crude fat content from its mean enhances the efficacy of 3-NOP on CH(4) production by 3.080% at a given dose and NDF level. For CH(4) yield, next to 3-NOP dose, dietary NDF content and dietary crude fat content were included in the selected model, but also dietary starch content with an opposite direction to NDF and crude fat. The effect of 3-NOP dose on CH(4) intensity was similar to its effect on CH(4) production, whereas the effect of dietary NDF content was slightly lower. Expanding the previously published models with the newly available data published from trials since then improved model performance, hence demonstrating the value of regularly updating meta-analyses if a wider range of data becomes available.
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spelling pubmed-98680672023-02-01 A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle Kebreab, Ermias Bannink, André Pressman, Eleanor May Walker, Nicola Karagiannis, Alexios van Gastelen, Sanne Dijkstra, Jan J Dairy Sci Article Ruminants, particularly dairy and beef cattle, contribute to climate change through mostly enteric methane emissions. Several mitigating options have been proposed, including the feed additive 3-nitrooxypropanol (3-NOP). The objectives of this study were to explain the variability in the mitigating effect of 3-NOP and to investigate the interaction between diet composition and 3-NOP dose, using meta-analytical approaches. Data from 13 articles (14 experiments) met the selection criteria for inclusion in the meta-analysis, and 48 treatment means were used for the analysis. Mean differences were calculated as 3-NOP treatment mean minus control treatment mean and then expressed as a percentage of the control mean. Three types of models were developed: (1) one including 3-NOP dose, overall mean, and individual covariate; (2) a combination of neutral detergent fiber (NDF), 3-NOP dose, and overall mean; and (3) one selected model from all combinations of up to 5 covariates, which were compared using a leave-one-out cross validation method. Models including only 3-NOP dose resulted in a significant reduction of 32.7%, 30.9%, and 32.6% for CH(4) production (g/d), yield (g/kg dry matter intake), and intensity (g/kg energy-corrected milk), respectively, at an average 3-NOP dose of 70.5 mg/kg dry matter (DM). The greater the NDF content in the diet, the lower the reduction efficiency for a given 3-NOP dose. For 10 g/kg DM increase in NDF content from its mean (329 g of NDF/kg of DM) the 3-NOP effect on CH(4) production was impaired by 0.633%, the 3-NOP effect on CH(4) yield by 0.647%, and the 3-NOP effect on CH(4) intensity by 0.723%. The analysis based on leave-one-out cross validation showed an increase in NDF and crude fat content reduces efficacy of 3-NOP and an increase in 3-NOP dose increases efficacy. A 1% (10 g/kg) DM decrease in dietary NDF content from its mean may increase the efficacy of 3-NOP in reducing CH(4) production by 0.915%. A 1% (10 g/kg DM) decrease in dietary crude fat content from its mean enhances the efficacy of 3-NOP on CH(4) production by 3.080% at a given dose and NDF level. For CH(4) yield, next to 3-NOP dose, dietary NDF content and dietary crude fat content were included in the selected model, but also dietary starch content with an opposite direction to NDF and crude fat. The effect of 3-NOP dose on CH(4) intensity was similar to its effect on CH(4) production, whereas the effect of dietary NDF content was slightly lower. Expanding the previously published models with the newly available data published from trials since then improved model performance, hence demonstrating the value of regularly updating meta-analyses if a wider range of data becomes available. 2023-02 2022-12-07 /pmc/articles/PMC9868067/ /pubmed/36494226 http://dx.doi.org/10.3168/jds.2022-22211 Text en https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ).
spellingShingle Article
Kebreab, Ermias
Bannink, André
Pressman, Eleanor May
Walker, Nicola
Karagiannis, Alexios
van Gastelen, Sanne
Dijkstra, Jan
A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title_full A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title_fullStr A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title_full_unstemmed A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title_short A meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
title_sort meta-analysis of effects of 3-nitrooxypropanol on methane production, yield, and intensity in dairy cattle
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9868067/
https://www.ncbi.nlm.nih.gov/pubmed/36494226
http://dx.doi.org/10.3168/jds.2022-22211
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