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":"奶水牛(Bubalus bubalis)体重与臀宽之间的关系。","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":"{\"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}","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}
Relationship between body weight and hip width in dairy buffaloes (Bubalus bubalis).
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.
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.