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Economic selection index in small rural dairy farms

Published online by Cambridge University Press:  13 February 2019

Marcos Jun-Iti Yokoo ,
Leonardo de Oliveira Seno ,
Luiza Corrêa Oliveira ,
Pedro U N da Costa ,
Gustavo M da Silva ,
Renata W Suñé  and
Fernando Flores Cardoso
Marcos Jun-Iti Yokoo
Affiliation:
Embrapa Southern Region Animal Husbandry, Center of Livestock Research of South Brazilian Fields (CPPSul), Brazilian Agricultural Research Corporation, Ministry of Agriculture, Livestock and Food Supply, Bagé, RS, Brazil
Leonardo de Oliveira Seno*
Affiliation:
Federal University of Grande Dourados UFGD, Faculty of Agrarian Sciences, Dourados, Brazil
Luiza Corrêa Oliveira
Affiliation:
Federal University of Pampa – Unipampa, Dom Pedrito,Brazil
Pedro U N da Costa
Affiliation:
Association of Rural Technical Support and Extension of Rio Grande do Sul EMATER-RS/ASCAR, Porte Alegre, Brazil
Gustavo M da Silva
Affiliation:
Embrapa Southern Region Animal Husbandry, Center of Livestock Research of South Brazilian Fields (CPPSul), Brazilian Agricultural Research Corporation, Ministry of Agriculture, Livestock and Food Supply, Bagé, RS, Brazil
Renata W Suñé
Affiliation:
Embrapa Southern Region Animal Husbandry, Center of Livestock Research of South Brazilian Fields (CPPSul), Brazilian Agricultural Research Corporation, Ministry of Agriculture, Livestock and Food Supply, Bagé, RS, Brazil
Fernando Flores Cardoso
Affiliation:
Embrapa Southern Region Animal Husbandry, Center of Livestock Research of South Brazilian Fields (CPPSul), Brazilian Agricultural Research Corporation, Ministry of Agriculture, Livestock and Food Supply, Bagé, RS, Brazil
*
Authors for correspondence: Leonardo de Oliveira Seno, Email: [email protected]
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Abstract

This study aimed to calculate economic values (EVs) and economic selection indices for milk production systems in small rural properties. The traits 305-d milk yield in kg (MY), fat (FP) and protein (PP) percentage, daily fat (FY) and protein (PY) yield, cow live weight in kg (LW), calving interval (CI), and logarithm of daily somatic cell count (SCC) in milk were considered the goals and selection criteria. The production systems were identified from 29 commercial properties based on the inventory of revenues and costs and of zootechnical field data. Later, bioeconomic models were developed to calculate the productive performance, revenues, and costs concerning milk production to estimate EVs, which were calculated as the difference in annual profit with dairy production resulting from a change in one unit of the trait while keeping the others constant and dividing the value by the number of cows. After the EVs were known, ten economic selection indices were estimated for each system so they could be compared by modifying the selection criteria and calculating the relative importance of each selection criteria, the accuracy of the economic selection index, and response expected to the selection in USD, among other parameters. One of the systems detected was called less intensive (LS) and was characterized by having ten cows in lactation that produced 13·5 l/d and consumed 1·8 kg of concentrate/d. The second system detected was called more intensive (IS) and had 22 cows in lactation that produced 17·5 l/d and consumed 3·4 kg of concentrate/d. Monthly profits per cows in lactation of USD 2·60 and USD 68·77 were recorded for LS and IS, respectively. The EVs of the traits MY, FP, and PP were all positive, while for the other traits they were all negative in all situations. The best economic selection indices were those featuring selection criteria MY, LW, and CI, while the trait LW had the greatest importance in both systems. These results indicate that animal frame must be controlled in order to maximize the system's profit.

Keywords

Economic valueeconomic weightgenetic progressmodellingselection accuracy
Type
Research Article
Information
Journal of Dairy Research , Volume 86 , Issue 1 , February 2019 , pp. 25 - 33
Copyright
Copyright © Hannah Dairy Research Foundation 2019 

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