Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms

The efficiency of the livestock system is one of the factors of greatest social and economic interest in rural production areas. The project aimed to assess various biological and economic indicators to identify the most efficient dairy cows in grazing systems with supplementation within the Antioqu...

Full description

Bibliographic Details
Main Authors: Luis Fernando Londoño-Franco, Pablo Roberto Marini
Format: Article
Language:English
Published: Universidad de Nariño 2023-11-01
Series:Revista de Ciencias Agrícolas
Subjects:
Online Access:https://doi.org/10.22267/rcia.20234003.213
_version_ 1797207039543345152
author Luis Fernando Londoño-Franco
Pablo Roberto Marini
author_facet Luis Fernando Londoño-Franco
Pablo Roberto Marini
author_sort Luis Fernando Londoño-Franco
collection DOAJ
description The efficiency of the livestock system is one of the factors of greatest social and economic interest in rural production areas. The project aimed to assess various biological and economic indicators to identify the most efficient dairy cows in grazing systems with supplementation within the Antioquia-Colombia dairy basin. We used retrospective data from 2009 to 2019 from farms in the municipalities of Entrerríos, San Pedro, and Belmira. The production systems in the northern region of Antioquia share common features typical of many dairy enterprises. They are primarily characterized by their utilization of grazing systems, each employing distinct supplementation regimes.The farms have their own records and official milk control from the cooperatives or associations from which the data was obtained. The productive categories of the evaluated cows were established according to the number of births, and within each subgroup, they were ordered by the total liters per lactation in ascending order. Productive, reproductive, health, and economic variables were recorded. Then cuts were made, thus forming three categories: low, medium, and high production. It was possible to determine the model that showed four groups of variables (breed, milk production per lactation, open days, and silage) with an important correlation of 97% and a greater contribution to the behavior of the cost per liter, obtaining an R2 of 0.91 (P <0.05) and a prediction error of US$ 0.0076 per liter of milk in the evaluated farms. It is concluded that, with few biological and economic predictive indicators, it was possible to identify the most efficient cows in grazing systems.
first_indexed 2024-04-24T09:16:34Z
format Article
id doaj.art-f94219af1f1b401d9822eff29d07de60
institution Directory Open Access Journal
issn 2256-2273
language English
last_indexed 2024-04-24T09:16:34Z
publishDate 2023-11-01
publisher Universidad de Nariño
record_format Article
series Revista de Ciencias Agrícolas
spelling doaj.art-f94219af1f1b401d9822eff29d07de602024-04-15T16:55:58ZengUniversidad de NariñoRevista de Ciencias Agrícolas2256-22732023-11-01403e3213https://doi.org/10.22267/rcia.20234003.213Evaluation of the efficiency of biological and economic indicators in production systems on dairy farmsLuis Fernando Londoño-Franco0https://orcid.org/0000-0003-2283-2679Pablo Roberto Marini1https://orcid.org/0000-0002-9437-0736Politécnico Colombiano Jaime Isaza CadavidUniversidad Nacional de RosarioThe efficiency of the livestock system is one of the factors of greatest social and economic interest in rural production areas. The project aimed to assess various biological and economic indicators to identify the most efficient dairy cows in grazing systems with supplementation within the Antioquia-Colombia dairy basin. We used retrospective data from 2009 to 2019 from farms in the municipalities of Entrerríos, San Pedro, and Belmira. The production systems in the northern region of Antioquia share common features typical of many dairy enterprises. They are primarily characterized by their utilization of grazing systems, each employing distinct supplementation regimes.The farms have their own records and official milk control from the cooperatives or associations from which the data was obtained. The productive categories of the evaluated cows were established according to the number of births, and within each subgroup, they were ordered by the total liters per lactation in ascending order. Productive, reproductive, health, and economic variables were recorded. Then cuts were made, thus forming three categories: low, medium, and high production. It was possible to determine the model that showed four groups of variables (breed, milk production per lactation, open days, and silage) with an important correlation of 97% and a greater contribution to the behavior of the cost per liter, obtaining an R2 of 0.91 (P <0.05) and a prediction error of US$ 0.0076 per liter of milk in the evaluated farms. It is concluded that, with few biological and economic predictive indicators, it was possible to identify the most efficient cows in grazing systems.https://doi.org/10.22267/rcia.20234003.213dairy coweconomicreproductionsocialsustainability
spellingShingle Luis Fernando Londoño-Franco
Pablo Roberto Marini
Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
Revista de Ciencias Agrícolas
dairy cow
economic
reproduction
social
sustainability
title Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
title_full Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
title_fullStr Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
title_full_unstemmed Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
title_short Evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
title_sort evaluation of the efficiency of biological and economic indicators in production systems on dairy farms
topic dairy cow
economic
reproduction
social
sustainability
url https://doi.org/10.22267/rcia.20234003.213
work_keys_str_mv AT luisfernandolondonofranco evaluationoftheefficiencyofbiologicalandeconomicindicatorsinproductionsystemsondairyfarms
AT pablorobertomarini evaluationoftheefficiencyofbiologicalandeconomicindicatorsinproductionsystemsondairyfarms