Hostname: page-component-cd9895bd7-q99xh Total loading time: 0 Render date: 2024-12-18T20:59:18.264Z Has data issue: false hasContentIssue false
  • English
  • Français

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]
Get access Rights & Permissions [Opens in a new window]

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 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Anuário da pecuária brasileira – ANUALPEC (2011) São Paulo: FNP Consultoria e Comércio. 378p.Google Scholar
Banga, CB, Neser, FWC, van der Westhuizen, J, Garrick, DJ (2009) Economic values for dairy production traits under different milk payment systems in South Africa. South African Journal of Animal Science 39 112–115.Google Scholar
Boor, KJ (2001) Fluid dairy product quality and safety: looking to the future. Journal of Dairy Science 84 1–11.10.3168/jds.S0022-0302(01)74445-1Google Scholar
Cabrera, VE (2014) Economics of fertility in high-yielding dairy cows on confined TMR systems. Animal: An International Journal of Animal Bioscience 8 211–221.10.1017/S1751731114000512Google Scholar
Campos, MS, Wilcox, CJ, Becerril, CM, Diz, A (1994) Genetic parameters for yield and reproductive traits of Holstein and Jersey cattle in Florida. Journal of Dairy Science 77 867–873.10.3168/jds.S0022-0302(94)77021-1Google Scholar
Cardoso, VL, Nogueira, JR, Vercesi Filho, AE, El Faro, L, Lima, NC (2004) Objetivos de Seleção e valores econômicos de características de importância econômica para um sistema de produção de leite a pasto na Região Sudeste. Revista Brasileira de Zootecnia 33 320–327.10.1590/S1516-35982004000200007Google Scholar
Cardoso, VL, Lima, MLP, Nogueira, JR, Carneiro, RLR, Sesana, RC, Oliveira, EJ, El Faro, L (2014) Economic values for milk production and quality traits in south and southeast regions of Brazil. Revista Brasileira de Zootecnia 43 636–642.10.1590/S1516-35982014001200002Google Scholar
Groen, AF, Steine, T, Colleau, JJ, Pedersen, J, Pribyl, J, Reinsch, N (1997) Economic values in dairy cattle breeding, with special reference to functional traits. Livestock Production Science 49 1–21.10.1016/S0301-6226(97)00041-9Google Scholar
Hazel, LN (1943) The genetic basis for constructing selection indexes. Genetics 28 476–490.Google Scholar
Instituto de Economia Agrícola – IEA. Banco de dados: preços médios mensais pagos pela agricultura. Retrieved November 11, 2013, from: <http://www.iea.sp.br>..>Google Scholar
Kalantari, AS and Cabrera, VE (2015) Stochastic economic evaluation of dairy farm reproductive performance. Canadian Journal of Animal Science 95 59–70.10.4141/cjas-2014-072Google Scholar
Keown, JF, Everett, RW (1985) Age-month adjustment factors for milk, fat, and protein yields in Holstein Cattle. Journal of Dairy Science 68 2664–2669.Google Scholar
Madalena, FE (2000) Valores econômicos para a seleção de gordura e proteína do leite. Revista Brasileira de Zootecnia 29 678–684.10.1590/S1516-35982000000300006Google Scholar
Martins, GA, Madalena, FE, Bruschi, JH, Costa, JL, Monteiro, JBN (2003) Objetivos econômicos de seleção de bovinos de leite para Fazenda Demonstrativa na Zona de Mata de Minas Gerais. Revista Brasileira de Zootecnia 32 304–314.10.1590/S1516-35982003000200008Google Scholar
Muller, CJC, Cloete, SWP, Olivier, JJ, Botha, JA, de Waal, H (2006) Heritability of live weight and condition score in a Holstein herd and correlations with milk traits – preliminary estimates. South African Journal of Animal Science 36 79–88.Google Scholar
NRC (1989) Nutrient Requeriments of Dairy Cattle, 6th rev edition. Washington, DC: National Research Council, 157p.Google Scholar
NRC (1996) Guide for the Care and Use of Laboratory Animals. Institute of Laboratory Animal Resources, Commission on Life Sciences. Washington, DC, EUA: National Academy Press.Google Scholar
OECD/Food and Agriculture Organization of the United Nations (2016) OECD-FAO Agricultural Outlook 2016–2025, OECD Publishing, Paris. Retrieved October 25, 2016, from: <http://dx.doi.org/101.787/agr_outlook-2016-en>..>Google Scholar
Osman, MM, El-Bayomi, KM, Moawed, SA (2013) Estimation of heritabilities, genetic correlations, phenotypic correlations and genetic trends for production and reproduction traits of Holstein-Friesian dairy cattle using sire model. Suez Canal Veterinary Medicine Journal XVIII 115–128.Google Scholar
Pérez-Cabal, MA, Alenda, R (2003) Lifetime profit as an individual trait and prediction of its breeding values in Spanish Holstein cows. Journal of Dairy Science 86 4115–4122.10.3168/jds.S0022-0302(03)74025-9Google Scholar
Pritchard, T, Coffey, M, Mrode, R, Wall, E (2013) Genetic parameters for production, health, fertility and longevity traits in dairy cows. Animal: An International Journal of Animal Bioscience 7 34–46.Google Scholar
Pryce, JE, Harris, BL (2006) Genetics of body condition score in New Zealand dairy cows. Journal of Dairy Science 89 424–4432.Google Scholar
R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Retrieved October 08, 2015, from: <https://www.R-project.org/>..>Google Scholar
Santos, MV, Ma, Y, Barbano, DM (2003) Effect of somatic cell count on proteolysis and lipolysis in pasteurized fluid milk during shelf-life storage. Journal of Dairy Science 86 2491–2503.Google Scholar
Schneeberger, M, Barwick, SA, Crow, GH, Hammond, K (1992) Economic indices using breeding values predicted by BLUP. Journal of Animal Breeding and Genetics 109 180–187.Google Scholar
Schutz, MM, Hansen, LB, Steuernagel, GR, Reneau, JK, Kuck, AL (1990) Genetic parameters for somatic cells, protein, and fat in milk of Holsteins. Journal of Dairy Science 73 494–502.Google Scholar
Veerkamp, RF (1998) Selection for economic efficiency of dairy cattle using information on live weight and feed intake: a review. Journal Dairy Science 81 1109–1119.10.3168/jds.S0022-0302(98)75673-5Google Scholar
Vercessi Filho, AE, Madalena, FE, Ferreira, JJ, Penna, VM (2000) Pesos econômicos para seleção de gado leiteiro. Revista Brasileira de Zootecnia 29 145–152.Google Scholar
Ward, JH (1963) Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58 236–244.Google Scholar
Yamada, Y, Yokouchi, K, Nishida, A (1975) Selection index when genetic gains of individual traits are of primary concern. Japan Journal Genetics 50 33–41.Google Scholar
Zhang, WC, Dekkers, JCM, Banos, G, Burnside, EB (1994) Adjustment factors and genetic evaluation for somatic cell score and relationships with other traits of Canadian Holsteins. Journal of Dairy Science 77 659–665.Google Scholar
Supplementary material: PDF

Yokoo et al. supplementary material

Yokoo et al. supplementary material 1

Download Yokoo et al. supplementary material(PDF)
PDF 312.4 KB