Estimation of lactation curves of Gyr cattle and some associated production parameters in the Colombian low tropic

Authors

  • Daniela Ferro Pedagogical and Technological University of Colombia
  • Jhon Gil Pedagogical and Technological University of Colombia
  • Ariel Jiménez Colombian Association of Zebu Cattle Breeders
  • Carlos Manrique National University of Colombia
  • Carlos A. Martínez Colombian Agricultural Research Corporation

DOI:

https://doi.org/10.17533/udea.rccp.v35n1a01

Keywords:

Bos indicus, bovines, cows, lactation, lactation function shape, lactation parameters, linear models, milk production, milk yield, model comparison, nonlinear models, statistical modelling, tropical dairy operations

Abstract


Background: The Gyr breed is widely used in Colombian low tropic dairy production systems. During the last 10 years, the Asociación Colombiana de Criadores de Ganado Cebú† - ASOCEBU, has been leading a dairy milk control program which led to the creation of a dataset that permits to carry out the first analysis of milk yield in Gyr cattle in the country using records from several herds. Objectives: To study milk production dynamics of Gyr cattle in the Colombian low tropic through the estimation of lactation curves and four derived production parameters: total milk yield between 5 and 305 days (TMY305), peak milk yield (PMY), days at peak (DP) and persistency (P). Methods: 13,798 daily milk yield records from 1,510 cows performing in 103 herds were used; the total number of lactations was 2,480. Four models were considered: Wood, Wiltmink, Papajcsik & Bordero, and a second-degree polynomial. Mean square error, mean absolute error, mean square error of prediction, Akaike and Bayesian information criteria were used to select the model better describing each lactation using the majority rule, that is, the model selected by most criteria was the chosen one. The shape of each fitted lactation curve was checked using basic results from calculus which permitted the classification of the estimated curves into two groups: typical and atypical; only typical functions were used to compute the four aforementioned production parameters. Results: The second-order polynomial was the model most frequently selected, while the Papajcsik & Bordero model had the lowest frequency. Average TMY305, PMY, DP and P were 3,489.86 kg, 17.28 kg, 57.17 days, and 0.83, respectively, with coefficients of variation: 0.27, 0.21, 0.41, and 0.16. Conclusions: This study permitted to identify individuals with outstanding phenotypic performance. To the best of our knowledge, this is the first study of this kind involving thousands of lactations from Gyr cows performing in several regions of Colombian low tropic.

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Author Biographies

Daniela Ferro, Pedagogical and Technological University of Colombia

https://orcid.org/0000-0003-0341-6653
School of Mathematics and Statistics, Pedagogical and Technological University of Colombia, Duitama Sectional Faculty, Colombia.

Jhon Gil, Pedagogical and Technological University of Colombia

https://orcid.org/0000-0003-1974-3886
School of Mathematics and Statistics, Pedagogical and Technological University of Colombia, Duitama Sectional Faculty, Colombia.

Ariel Jiménez, Colombian Association of Zebu Cattle Breeders

https://orcid.org/0000-0001-6374-7943
Colombian Association of Zebu Cattle Breeders (ASOCEBU), Bogotá, Colombia.

Carlos Manrique, National University of Colombia

https://orcid.org/0000-0002-5824-6383
Department of Animal Production, National University of Colombia, Bogotá, Colombia.

Carlos A. Martínez, Colombian Agricultural Research Corporation

https://orcid.org/0000-0003-2842-5580
Research and Development Directorate, Colombian Agricultural Research Corporation (AGROSAVIA), Headquarters, Mosquera, Colombia.

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Published

2021-12-20

How to Cite

Ferro, D., Gil, J., Jiménez, A., Manrique, C., & Martínez, C. A. (2021). Estimation of lactation curves of Gyr cattle and some associated production parameters in the Colombian low tropic. Revista Colombiana De Ciencias Pecuarias, 35(1), 3–13. https://doi.org/10.17533/udea.rccp.v35n1a01

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