Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system

Modeling lactation curves with mathematical equations is useful to describe and predict the productivity of dairy cows. However, studies analyzing the performance of different models to describe lactation curves in small-scale dairy systems are sparse. Therefore, the objective of this study was to e...

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Main Authors: Luis Javier Montiel-Olguín, Felipe de Jesús Ruiz-López, Sergio Gómez-Rosales, Germinal Jorge Cantó-Alarcón, Eliab Estrada-Cortés, Héctor Raymundo Vera-Ávila
Format: Article
Language:English
Published: College of Agriculture and Veterinary Medicine, United Arab Emirates University, United Arab Emirates 2025-02-01
Series:Emirates Journal of Food and Agriculture
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Online Access:https://ejfa.pensoft.net/article/129407/download/pdf/
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author Luis Javier Montiel-Olguín
Felipe de Jesús Ruiz-López
Sergio Gómez-Rosales
Germinal Jorge Cantó-Alarcón
Eliab Estrada-Cortés
Héctor Raymundo Vera-Ávila
author_facet Luis Javier Montiel-Olguín
Felipe de Jesús Ruiz-López
Sergio Gómez-Rosales
Germinal Jorge Cantó-Alarcón
Eliab Estrada-Cortés
Héctor Raymundo Vera-Ávila
author_sort Luis Javier Montiel-Olguín
collection DOAJ
description Modeling lactation curves with mathematical equations is useful to describe and predict the productivity of dairy cows. However, studies analyzing the performance of different models to describe lactation curves in small-scale dairy systems are sparse. Therefore, the objective of this study was to evaluate the capacity of five models to describe lactation curves of cows in a small-scale dairy system. Monthly milk weighins from 936 lactations were conducted in 23 farms in western Mexico. The Bayesian information criterion (BIC) and mean square prediction error (MSPE) were used to assess the fit of the models to the observed data, and the root mean square prediction error as a percentage of the observed mean (%RMSPE) was used to evaluate the accuracy of the models. The Gaines model had the best fit (lowest BIC and MSPE) for the first, second, and third or higher lactations. Regarding accuracy, the Sikka and Gaines models had the lowest RMSPE and %RMSPE. When classified by production level, the Gaines model had the best fit. The Gaines and Sikka models had the best accuracy across all three production levels. It was concluded that the Gaines model is the best option for representing lactation curves in a small-scale milk production system.
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spelling doaj-art-53a2bac68da041509401a824a73468b52025-02-12T08:31:50ZengCollege of Agriculture and Veterinary Medicine, United Arab Emirates University, United Arab EmiratesEmirates Journal of Food and Agriculture2079-05382025-02-01371710.3897/ejfa.2025.129407129407Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy systemLuis Javier Montiel-Olguín0Felipe de Jesús Ruiz-López1Sergio Gómez-Rosales2Germinal Jorge Cantó-Alarcón3Eliab Estrada-Cortés4Héctor Raymundo Vera-Ávila5Centro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal-INIFAPCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal-INIFAPCentro Nacional de Investigación Disciplinaria en Fisiología y Mejoramiento Animal-INIFAPUniversidad Autónoma de QuerétaroCampo Experimental Centro Altos de Jalisco-INIFAPUniversidad Autónoma de QuerétaroModeling lactation curves with mathematical equations is useful to describe and predict the productivity of dairy cows. However, studies analyzing the performance of different models to describe lactation curves in small-scale dairy systems are sparse. Therefore, the objective of this study was to evaluate the capacity of five models to describe lactation curves of cows in a small-scale dairy system. Monthly milk weighins from 936 lactations were conducted in 23 farms in western Mexico. The Bayesian information criterion (BIC) and mean square prediction error (MSPE) were used to assess the fit of the models to the observed data, and the root mean square prediction error as a percentage of the observed mean (%RMSPE) was used to evaluate the accuracy of the models. The Gaines model had the best fit (lowest BIC and MSPE) for the first, second, and third or higher lactations. Regarding accuracy, the Sikka and Gaines models had the lowest RMSPE and %RMSPE. When classified by production level, the Gaines model had the best fit. The Gaines and Sikka models had the best accuracy across all three production levels. It was concluded that the Gaines model is the best option for representing lactation curves in a small-scale milk production system.https://ejfa.pensoft.net/article/129407/download/pdf/Gaines modellactation curvesmodelingSikka mo
spellingShingle Luis Javier Montiel-Olguín
Felipe de Jesús Ruiz-López
Sergio Gómez-Rosales
Germinal Jorge Cantó-Alarcón
Eliab Estrada-Cortés
Héctor Raymundo Vera-Ávila
Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
Emirates Journal of Food and Agriculture
Gaines model
lactation curves
modeling
Sikka mo
title Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
title_full Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
title_fullStr Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
title_full_unstemmed Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
title_short Comparison of different models to describe the lactation curve of Holstein cows in a small-scale dairy system
title_sort comparison of different models to describe the lactation curve of holstein cows in a small scale dairy system
topic Gaines model
lactation curves
modeling
Sikka mo
url https://ejfa.pensoft.net/article/129407/download/pdf/
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