Comparison of models for lactation curves of Holstein, Brown Swiss, and F1 crossbred cows under subtropical conditions

• Published in: Tropical animal health and production Vol. 54; no. 3; p. 192
• Main Authors: Hernández-Zamudio, Julio A., Villagómez-Cortés, José A., Vega-Murillo, Vicente E., Leyva-Ovalle, Otto R., Vicente-Martínez, Jorge G., Ríos-Utrera, Ángel
• Format: Journal Article
• Language: English
• Published: Dordrecht Springer Netherlands 01-06-2022; Springer Nature B.V
• Subjects: Animals; Biomedical and Life Sciences; Cattle; Cattle - genetics; Dairy cattle; Datasets; Decision making; Female; Goodness of fit; Lactation; Life Sciences; Mexico; Milk; Milk production; Regular Articles; Root-mean-square errors; Statistical tests; Tropical environment; Tropical environments; Veterinary Medicine/Veterinary Science; Zoology; Mexico; Holstein; Reciprocal crosses; Lactation-curve models; Tropics; Brown Swiss
• ISSN: 0049-4747; 1573-7438
• DOI: 10.1007/s11250-022-03144-4

Tropical and subtropical milk production herds in Mexico generally generate different types of milk-yield records as milk yield per month and mean production per month. Lactation curves generated by these types of records may contribute to understand milk production in the tropical regions of Mexico. The aim of this study was to compare five lactation-curve models fitted to two types of milk-yield records of Holstein, Brown Swiss, and F1 crossbred cows under subtropical conditions. The two types of records (
n
 = 3756) used were: (1) milk yield per month (TR) and 2) mean production per months (MR). Goodness-of-fit statistics, including Akaike’s information criterion (AIC) and root mean square error (RMSE), were applied to compare the models for each type of records. The Brody model provided the best goodness-of-fit when using monthly milk-yield records, while the Wilmink model provided the best goodness-of-fit for lactation milk-yield records. The RMSE and AIC values were similar between datasets. The final third of the lactation curve showed a little difference between model predictions in both datasets. The comparison of several models was useful to better describe the actual lactation curves of the herd. The Wood model may be adequate to compare information as a reference with other models for decision making process at milk production.