Fitting lactation curves in a Colombian Holstein herd using nonlinear models
Statistical characterization of dairy cows lactation curves allows prediction of total milk yield from one or a few test-day records. The objectives were the characterization of milk production in a Colombian Holstein herd under tropical dairy production and to evaluate the statistical performance of six different lactation curve models on test-day records. The data set included 425 full lactations and 244,876 test day records of 14 consecutive years. Records of adjusted milk yield at 305 days, lactation length, production peak, time to the peak, and lactation persistence were analyzed under an univariate mixed linear model, and six non-linear lactation curve models were evaluated on the basis of their goodness of fit on test day records. Cows averaged 5830 ± 59 kg of milk at 305 days, 330 ± 3 days of lactation, 27.7 ± 0.3 kg of milk at peak, 4.7 ± 0.1 wk to the peak and 63.1 ± 0.6 % of persistence calculated for a 6 month period. Adjusted milk yield, lactation length and production peak increased with the number of calving. The best goodness of fit for each lactation curve or minimum means square error for records of average daily milk production of each week was reached by the two-phase lactation curve of Grossman and Koops. Under the conditions of this tropical dairy herd, results provide substantial evidence favoring the two-phase lactation curve of Grossman and Koops for research and technical purposes, while the model of Wood would be the best choice for livestock use.
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Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias
2018
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Duque López, Norma Patricia Casellas Vidal, Joaquim Quijano Bernal, Jorge Humberto Casals Costa, Ramon Martí Such, Francesc Xavier |
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Duque López, Norma Patricia Casellas Vidal, Joaquim Quijano Bernal, Jorge Humberto Casals Costa, Ramon Martí Such, Francesc Xavier Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
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Duque López, Norma Patricia Casellas Vidal, Joaquim Quijano Bernal, Jorge Humberto Casals Costa, Ramon Martí Such, Francesc Xavier |
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Duque López, Norma Patricia |
title |
Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
title_short |
Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
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Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
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Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
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Fitting lactation curves in a Colombian Holstein herd using nonlinear models |
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fitting lactation curves in a colombian holstein herd using nonlinear models |
description |
Statistical characterization of dairy cows lactation curves allows prediction of total milk yield from one or a few test-day records. The objectives were the characterization of milk production in a Colombian Holstein herd under tropical dairy production and to evaluate the statistical performance of six different lactation curve models on test-day records. The data set included 425 full lactations and 244,876 test day records of 14 consecutive years. Records of adjusted milk yield at 305 days, lactation length, production peak, time to the peak, and lactation persistence were analyzed under an univariate mixed linear model, and six non-linear lactation curve models were evaluated on the basis of their goodness of fit on test day records. Cows averaged 5830 ± 59 kg of milk at 305 days, 330 ± 3 days of lactation, 27.7 ± 0.3 kg of milk at peak, 4.7 ± 0.1 wk to the peak and 63.1 ± 0.6 % of persistence calculated for a 6 month period. Adjusted milk yield, lactation length and production peak increased with the number of calving. The best goodness of fit for each lactation curve or minimum means square error for records of average daily milk production of each week was reached by the two-phase lactation curve of Grossman and Koops. Under the conditions of this tropical dairy herd, results provide substantial evidence favoring the two-phase lactation curve of Grossman and Koops for research and technical purposes, while the model of Wood would be the best choice for livestock use. |
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Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias |
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2018 |
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https://revistas.unal.edu.co/index.php/refame/article/view/67424 |
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oai:www.revistas.unal.edu.co:article-674242019-04-29T18:15:17Z Fitting lactation curves in a Colombian Holstein herd using nonlinear models Ajuste de curvas de lactación en un rebaño Holstein Colombiano usando modelos no lineales Duque López, Norma Patricia Casellas Vidal, Joaquim Quijano Bernal, Jorge Humberto Casals Costa, Ramon Martí Such, Francesc Xavier Tropical dairy cattle Milk yield Parametric models Test-day Bovino lechero tropical Producción de leche Modelos paramétricos Día de control Statistical characterization of dairy cows lactation curves allows prediction of total milk yield from one or a few test-day records. The objectives were the characterization of milk production in a Colombian Holstein herd under tropical dairy production and to evaluate the statistical performance of six different lactation curve models on test-day records. The data set included 425 full lactations and 244,876 test day records of 14 consecutive years. Records of adjusted milk yield at 305 days, lactation length, production peak, time to the peak, and lactation persistence were analyzed under an univariate mixed linear model, and six non-linear lactation curve models were evaluated on the basis of their goodness of fit on test day records. Cows averaged 5830 ± 59 kg of milk at 305 days, 330 ± 3 days of lactation, 27.7 ± 0.3 kg of milk at peak, 4.7 ± 0.1 wk to the peak and 63.1 ± 0.6 % of persistence calculated for a 6 month period. Adjusted milk yield, lactation length and production peak increased with the number of calving. The best goodness of fit for each lactation curve or minimum means square error for records of average daily milk production of each week was reached by the two-phase lactation curve of Grossman and Koops. Under the conditions of this tropical dairy herd, results provide substantial evidence favoring the two-phase lactation curve of Grossman and Koops for research and technical purposes, while the model of Wood would be the best choice for livestock use. La caracterización estadística de curvas de lactación de vacas lecheras permite predecir la producción total de leche desde uno o varios registros de control-día. Los objetivos fueron caracterizar la producción de leche en un rebaño Holstein colombiano en el trópico y evaluar el desempeño estadístico de seis modelos para ajustar curvas de lactancia en base a los registros control. Los datos incluyeron 425 lactancias completas y 244.876 registros de control-día de 14 años consecutivos. Los registros de producción de leche ajustada a 305 días, duración de la lactación, pico de producción, tiempo hasta el pico de producción y persistencia de la lactación fueron analizados bajo un modelo lineal mixto univariante, y se evaluaron seis modelos no lineales para el ajuste de curvas de lactación en base a su bondad de ajuste de los registros del día de la prueba. Las vacas promediaron 5830 ± 59 kg, 330 ± 3 días, 27,7 ± 0,3 kg, 4,7 ± 0,1 semanas y 63,1 ± 0,6% para leche ajustada a 305 días, duración de lactación, producción al pico, tiempo al pico y persistencia durante 6 meses, respectivamente. La producción a 305 días, la duración de lactación, y la producción al pico aumentaron con el número de partos. El mejor ajuste para cada curva de lactancia se alcanzó con el modelo en dos fases para el ajuste de curvas de lactancia de Grossman y Koops, ideal para fines técnicos y de investigación, mientras que el modelo de Wood sería mejor para uso ganadero. Universidad Nacional de Colombia - Sede Medellín - Facultad de Ciencias Agrarias 2018-05-01 info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion application/pdf application/xml https://revistas.unal.edu.co/index.php/refame/article/view/67424 10.15446/rfna.v71n2.67424 Revista Facultad Nacional de Agronomía Medellín; Vol. 71 No. 2 (2018); 8459-8468 Revista Facultad Nacional de Agronomía Medellín; Vol. 71 Núm. 2 (2018); 8459-8468 Revista Facultad Nacional de Agronomía Medellín; v. 71 n. 2 (2018); 8459-8468 2248-7026 0304-2847 eng https://revistas.unal.edu.co/index.php/refame/article/view/67424/65883 https://revistas.unal.edu.co/index.php/refame/article/view/67424/66775 Copyright (c) 2018 Revista Facultad Nacional de Agronomía Medellín https://creativecommons.org/licenses/by-nc-sa/4.0 |