Relationship between body weight and hip width in dairy buffaloes (Bubalus bubalis).

IF 1.6 3区 农林科学 Q2 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Alvar Alonzo Cruz-Tamayo, Marco Antonio Ramírez-Bautista, Daniel Mota-Rojas, José Carlos Escobar-España, Ricardo García-Herrera, Antonio Leandro Chaves Gurgel, Tairon Pannunzio Dias-Silva, Marcos Jácome de Araújo, Juliana Caroline Santos Santana, Isadora Osorio Maciel Aguiar, Luís Carlos Vinhas Ítavo, Alfonso Juventino Chay-Canul
{"title":"Relationship between body weight and hip width in dairy buffaloes (<i>Bubalus bubalis</i>).","authors":"Alvar Alonzo Cruz-Tamayo, Marco Antonio Ramírez-Bautista, Daniel Mota-Rojas, José Carlos Escobar-España, Ricardo García-Herrera, Antonio Leandro Chaves Gurgel, Tairon Pannunzio Dias-Silva, Marcos Jácome de Araújo, Juliana Caroline Santos Santana, Isadora Osorio Maciel Aguiar, Luís Carlos Vinhas Ítavo, Alfonso Juventino Chay-Canul","doi":"10.1017/S0022029924000311","DOIUrl":null,"url":null,"abstract":"<p><p>The objective of the present study was to evaluate the relationship between body weight (BW) and hip width (HW) in dairy buffaloes (<i>Bubalus bubalis</i>). HW was measured in 215 Murrah buffaloes with a BW of 341 ± 161.6 kg, aged between three months and five years, and raised in southeastern Mexico. Linear and non-linear regressions were used to construct the prediction models. The goodness of fit of the models was evaluated using the Akaike information criterion (AIC), Bayesian information criterion (BIC), coefficient of determination (<i>R</i><sup>2</sup>), mean squared error (MSE), and root MSE (RMSE). Additionally, the developed models were evaluated through internal and external cross-validation (<i>k</i>-folds) using independent data. The ability of the fitted models to predict the observed values was assessed based on the root mean square error of prediction (RMSEP), <i>R</i><sup>2</sup>, and mean absolute error (MAE). The relationship between BW and HW showed a high correlation coefficient (<i>r</i> = 0.96, <i>P</i> < 0.001). The chosen fitted model to predict BW was: -176.33 (± 40.83***) + 8.74 (± 1.79***) × HW + 0.04 (± 0.01*) × HW<sup>2</sup>, because it presented the lowest MSE, RMSE, and AIC values, which were 1228.64, 35.05 and 1532.41, respectively. Therefore, with reasonable accuracy, the quadratic model using hip width may be suitable for predicting body weight in buffaloes.</p>","PeriodicalId":15615,"journal":{"name":"Journal of Dairy Research","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Dairy Research","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1017/S0022029924000311","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"AGRICULTURE, DAIRY & ANIMAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

The objective of the present study was to evaluate the relationship between body weight (BW) and hip width (HW) in dairy buffaloes (Bubalus bubalis). HW was measured in 215 Murrah buffaloes with a BW of 341 ± 161.6 kg, aged between three months and five years, and raised in southeastern Mexico. Linear and non-linear regressions were used to construct the prediction models. The goodness of fit of the models was evaluated using the Akaike information criterion (AIC), Bayesian information criterion (BIC), coefficient of determination (R2), mean squared error (MSE), and root MSE (RMSE). Additionally, the developed models were evaluated through internal and external cross-validation (k-folds) using independent data. The ability of the fitted models to predict the observed values was assessed based on the root mean square error of prediction (RMSEP), R2, and mean absolute error (MAE). The relationship between BW and HW showed a high correlation coefficient (r = 0.96, P < 0.001). The chosen fitted model to predict BW was: -176.33 (± 40.83***) + 8.74 (± 1.79***) × HW + 0.04 (± 0.01*) × HW2, because it presented the lowest MSE, RMSE, and AIC values, which were 1228.64, 35.05 and 1532.41, respectively. Therefore, with reasonable accuracy, the quadratic model using hip width may be suitable for predicting body weight in buffaloes.

奶水牛(Bubalus bubalis)体重与臀宽之间的关系。
本研究旨在评估奶水牛(Bubalus bubalis)的体重(BW)和臀宽(HW)之间的关系。对墨西哥东南部饲养的 215 头体重为 341 ± 161.6 千克、年龄在 3 个月到 5 岁之间的穆拉水牛的臀宽进行了测量。线性和非线性回归用于构建预测模型。使用阿凯克信息准则 (AIC)、贝叶斯信息准则 (BIC)、决定系数 (R2)、均方误差 (MSE) 和根 MSE (RMSE) 评估了模型的拟合度。此外,还利用独立数据通过内部和外部交叉验证(k-folds)对所开发的模型进行了评估。根据预测均方根误差(RMSEP)、R2 和平均绝对误差(MAE)评估了拟合模型预测观测值的能力。体重和体重之间的关系显示出很高的相关系数(r = 0.96,P < 0.001)。所选的预测体重的拟合模型为:-176.33 (± 40.83***) + 8.74 (± 1.79***) × HW + 0.04 (± 0.01*) × HW2,因为它的 MSE、RMSE 和 AIC 值最低,分别为 1228.64、35.05 和 1532.41。因此,在合理的精确度下,使用臀宽的二次方模型可能适用于预测水牛的体重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Dairy Research
Journal of Dairy Research 农林科学-奶制品与动物科学
CiteScore
3.80
自引率
4.80%
发文量
117
审稿时长
12-24 weeks
期刊介绍: The Journal of Dairy Research is an international Journal of high-standing that publishes original scientific research on all aspects of the biology, wellbeing and technology of lactating animals and the foods they produce. The Journal’s ability to cover the entire dairy foods chain is a major strength. Cross-disciplinary research is particularly welcomed, as is comparative lactation research in different dairy and non-dairy species and research dealing with consumer health aspects of dairy products. Journal of Dairy Research: an international Journal of the lactation sciences.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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