基于饲粮中含有小麦或玉米的奶牛摄入动力学模式预测肠道甲烷排放动态

R. Muñoz-Tamayo , B. Ruiz , P. Blavy , S. Giger-Reverdin , D. Sauvant , S.R.O. Williams , P.J. Moate
{"title":"基于饲粮中含有小麦或玉米的奶牛摄入动力学模式预测肠道甲烷排放动态","authors":"R. Muñoz-Tamayo ,&nbsp;B. Ruiz ,&nbsp;P. Blavy ,&nbsp;S. Giger-Reverdin ,&nbsp;D. Sauvant ,&nbsp;S.R.O. Williams ,&nbsp;P.J. Moate","doi":"10.1016/j.anopes.2021.100003","DOIUrl":null,"url":null,"abstract":"<div><p>The production of methane by the rumen microbiota is a complex biological process. When tackling the modelling of methane production, the modeller decides what complexity is needed to answer the scientific question for which the model is intended. Such a choice results in a diversity of possible models spanning both empirical and mechanistic approaches. Within the framework of precision livestock farming, simple dynamic models offer great advantages for integrating online data (<em>e.g.</em>, feed intake) to predict individual methane emissions from cattle. Accordingly, we previously developed, with satisfactory results, a simple dynamic model that uses DM intake kinetics as a single predictor of methane emissions from finishing beef steers. The objective of the present work was to assess the capability of the previously developed model to predict the dynamic pattern of methane production from dairy cows fed a diet containing either wheat grain or corn grain. We showed that the simple dynamic model in its original form enables a description of the dynamics of individual methane emissions from dairy cows with an average determination coefficient (<em>r</em><sup>2</sup>) of 0.65 and an average concordance correlation coefficient of 0.81 and RMSE of 16% and 26% for the corn-based and wheat-based diets, respectively. Additionally, we performed a principal component analysis associating the parameters of the methane model with variables characterising the feeding behaviour of the cows. The results showed the effect of the diet type on the feeding behaviour of the animals. This impact was propagated on the dynamics of methane emissions. Interestingly, our model enabled us to determine that the differences in patterns of methane emissions between the diets result simply from the dependency of the methane yield and rate constant of methane eructation on the grain type.</p></div>","PeriodicalId":100083,"journal":{"name":"Animal - Open Space","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772694021000030/pdfft?md5=225fb19fb823adeba642c1489454c5a9&pid=1-s2.0-S2772694021000030-main.pdf","citationCount":"1","resultStr":"{\"title\":\"Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn\",\"authors\":\"R. Muñoz-Tamayo ,&nbsp;B. Ruiz ,&nbsp;P. Blavy ,&nbsp;S. Giger-Reverdin ,&nbsp;D. Sauvant ,&nbsp;S.R.O. Williams ,&nbsp;P.J. Moate\",\"doi\":\"10.1016/j.anopes.2021.100003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The production of methane by the rumen microbiota is a complex biological process. When tackling the modelling of methane production, the modeller decides what complexity is needed to answer the scientific question for which the model is intended. Such a choice results in a diversity of possible models spanning both empirical and mechanistic approaches. Within the framework of precision livestock farming, simple dynamic models offer great advantages for integrating online data (<em>e.g.</em>, feed intake) to predict individual methane emissions from cattle. Accordingly, we previously developed, with satisfactory results, a simple dynamic model that uses DM intake kinetics as a single predictor of methane emissions from finishing beef steers. The objective of the present work was to assess the capability of the previously developed model to predict the dynamic pattern of methane production from dairy cows fed a diet containing either wheat grain or corn grain. We showed that the simple dynamic model in its original form enables a description of the dynamics of individual methane emissions from dairy cows with an average determination coefficient (<em>r</em><sup>2</sup>) of 0.65 and an average concordance correlation coefficient of 0.81 and RMSE of 16% and 26% for the corn-based and wheat-based diets, respectively. Additionally, we performed a principal component analysis associating the parameters of the methane model with variables characterising the feeding behaviour of the cows. The results showed the effect of the diet type on the feeding behaviour of the animals. This impact was propagated on the dynamics of methane emissions. Interestingly, our model enabled us to determine that the differences in patterns of methane emissions between the diets result simply from the dependency of the methane yield and rate constant of methane eructation on the grain type.</p></div>\",\"PeriodicalId\":100083,\"journal\":{\"name\":\"Animal - Open Space\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772694021000030/pdfft?md5=225fb19fb823adeba642c1489454c5a9&pid=1-s2.0-S2772694021000030-main.pdf\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Animal - Open Space\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772694021000030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Animal - Open Space","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772694021000030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

瘤胃微生物产生甲烷是一个复杂的生物过程。当处理甲烷生产的建模时,建模者决定需要多大的复杂性来回答模型所要解决的科学问题。这样的选择导致了跨越经验和机制方法的可能模型的多样性。在精准畜牧业的框架内,简单的动态模型为整合在线数据(如采食量)来预测牛的个体甲烷排放提供了巨大的优势。因此,我们先前开发了一个简单的动态模型,该模型使用DM摄入动力学作为育肥牛甲烷排放的单一预测因子,结果令人满意。本研究的目的是评估先前开发的模型的能力,以预测饲粮中含有小麦或玉米谷物的奶牛甲烷产量的动态模式。结果表明,原始形式的简单动态模型能够描述奶牛个体甲烷排放的动态,其平均决定系数(r2)为0.65,平均一致性相关系数为0.81,RMSE分别为16%和26%。此外,我们进行了主成分分析,将甲烷模型的参数与表征奶牛摄食行为的变量联系起来。结果表明,饲料类型对动物摄食行为的影响。这种影响通过甲烷排放的动态传播。有趣的是,我们的模型使我们能够确定,不同饮食之间甲烷排放模式的差异仅仅是由于甲烷产量和甲烷排放速率常数对谷物类型的依赖。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the dynamics of enteric methane emissions based on intake kinetic patterns in dairy cows fed diets containing either wheat or corn

The production of methane by the rumen microbiota is a complex biological process. When tackling the modelling of methane production, the modeller decides what complexity is needed to answer the scientific question for which the model is intended. Such a choice results in a diversity of possible models spanning both empirical and mechanistic approaches. Within the framework of precision livestock farming, simple dynamic models offer great advantages for integrating online data (e.g., feed intake) to predict individual methane emissions from cattle. Accordingly, we previously developed, with satisfactory results, a simple dynamic model that uses DM intake kinetics as a single predictor of methane emissions from finishing beef steers. The objective of the present work was to assess the capability of the previously developed model to predict the dynamic pattern of methane production from dairy cows fed a diet containing either wheat grain or corn grain. We showed that the simple dynamic model in its original form enables a description of the dynamics of individual methane emissions from dairy cows with an average determination coefficient (r2) of 0.65 and an average concordance correlation coefficient of 0.81 and RMSE of 16% and 26% for the corn-based and wheat-based diets, respectively. Additionally, we performed a principal component analysis associating the parameters of the methane model with variables characterising the feeding behaviour of the cows. The results showed the effect of the diet type on the feeding behaviour of the animals. This impact was propagated on the dynamics of methane emissions. Interestingly, our model enabled us to determine that the differences in patterns of methane emissions between the diets result simply from the dependency of the methane yield and rate constant of methane eructation on the grain type.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信