Identification of breeding objectives using a bioeconomic model for a beef cattle production system in Uruguay

被引:30
作者
Isabel Pravia, Maria [1 ]
Ravagnolo, Olga [2 ]
Ignacio Urioste, Jorge [1 ]
Garrick, Dorian J. [3 ]
机构
[1] Univ Republica, Fac Agron, Montevideo 12900, Uruguay
[2] Inst Nacl Invest Agr, Las Brujas 90200, Uruguay
[3] Iowa State Univ, Dept Anim Sci, Ames, IA 50011 USA
关键词
Beef cattle; Breeding objectives; Economical relevant traits; ECONOMIC VALUES; GENETIC-IMPROVEMENT; TRAITS;
D O I
10.1016/j.livsci.2013.12.006
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
The aims of this study were to establish the breeding objective for a typical Uruguayan beef cattle production system, identifying the main economically relevant traits, estimating their economic values (EVs) and relative importance in the breeding objective. The bioeconomic model included performance (weights, daily gains, mortality, pregnancy and replacement rates), and economic (sale, feed and health prices) parameters. The herd was a cow-calf operation of 100 Hereford cows with a finishing component, which annually sells steers, non-pregnant cows and surplus replacement heifers. Feed requirements were calculated for pasture grazing animals based on the factorial approach to calculate energy requirements for maintenance and growth for young animals, and maintenance, gestation and lactation for cows. Increases in requirements caused by changes in the system were supplied through purchased feed. Economic profit was simulated as total revenues less total costs. Biological traits affecting profit were identified as economically relevant trait. The EV of a trait was calculated by simulation as difference in farm profits at the average trait level and after incrementing the trait level by one unit keeping other evaluated traits constant. EVs are expressed per 100 meted cows, and were adjusted using the discounted gene flow method, to account for frequency and timing of trait expressions. Calving rate had an EV of US$96.0, followed by Carcass Weight ($21.4 for heifers and $2.5 for cows), Calving Ease (US$ 20.4), Dry Matter intake (-$0.7 for steers, -0.5 for heifers and -0.7 for cows), Weaning Weight direct (-$1.1) and Weaning Weight maternal (-$3.8). EV was expressed as the income obtained in this production system per 100 mated cows. When EVs were expressed per additive genetic standard deviation, reproductive traits were three times more important than growth and feed intake traits. Some of the most important traits do not currently have an Expected Progeny Differences, to allow selection, so efforts should be placed to generate that information. (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:21 / 28
页数:8
相关论文
共 50 条
[41]   Modeling methane production from beef cattle using linear and nonlinear approaches [J].
Ellis, J. L. ;
Kebreab, E. ;
Odongo, N. E. ;
Beauchemin, K. ;
McGinn, S. ;
Nkrumah, J. D. ;
Moore, S. S. ;
Christopherson, R. ;
Murdoch, G. K. ;
McBride, B. W. ;
Okine, E. K. ;
France, J. .
JOURNAL OF ANIMAL SCIENCE, 2009, 87 (04) :1334-1345
[42]   Risk analysis and probability of return on invested capital in an intensive beef cattle production system in Minas Gerais, Brazil [J].
Valadares Santana, Ronan Aparecido ;
Barbosa, Fabiano Alvim ;
de Andrade, Venicio Jose ;
Molina, Patricia Caires ;
Batista Maia Filho, Geraldo Helber ;
Leao, Juliana Mergh .
REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2016, 45 (12) :788-793
[43]   On-Barn Forecasting Beef Cattle Production Based on Automated Non-Contact Body Measurement System [J].
Gritsenko, Svetlana ;
Ruchay, Alexey ;
Kolpakov, Vladimir ;
Lebedev, Svyatoslav ;
Guo, Hao ;
Pezzuolo, Andrea .
ANIMALS, 2023, 13 (04)
[44]   Accuracies of direct genomic breeding values in Hereford beef cattle using national or international training populations [J].
Saatchi, M. ;
Ward, J. ;
Garrick, D. J. .
JOURNAL OF ANIMAL SCIENCE, 2013, 91 (04) :1538-1551
[45]   Effects of production system intensity on performance, carcass composition and meat quality of beef cattle [J].
Keane, MG ;
Allen, P .
LIVESTOCK PRODUCTION SCIENCE, 1998, 56 (03) :203-214
[46]   Index selection of beef cattle for growth and milk production using computer simulation modelling [J].
Dzama, K ;
Walter, JP ;
Ruvuna, F ;
Sanders, JO ;
Chimonyo, M .
SOUTH AFRICAN JOURNAL OF ANIMAL SCIENCE-SUID-AFRIKAANSE TYDSKRIF VIR VEEKUNDE, 2001, 31 (02) :65-75
[47]   Using artificial intelligence to design and implement a morphological assessment system in beef cattle [J].
Goyache, F ;
del Coz, JJ ;
Quevedo, JR ;
López, S ;
Alonso, J ;
Ranilla, J ;
Luaces, O ;
Alvarez, I ;
Bahamonde, A .
ANIMAL SCIENCE, 2001, 73 :49-60
[48]   Breeding objectives for the Boran breed in Kenya: Model development and application to pasture-based production systems [J].
Rewe, TO ;
Indetie, D ;
Ojango, JMK ;
Kahi, AK .
ANIMAL SCIENCE JOURNAL, 2006, 77 (02) :163-177
[49]   Developing an agent-based model to simulate the beef cattle production and transportation in southwest Kansas [J].
Yang, Qihui ;
Gruenbacher, Don ;
Stamm, Jessica L. Heier ;
Brase, Gary L. ;
DeLoach, Scott A. ;
Amrine, David E. ;
Scoglio, Caterina .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 526
[50]   Evaluation of technology introduction in a beef cattle production system in Pantanal wetlands. Analysis of efficiency [J].
de Abreu, Urbano Gomes Pinto ;
Lopes, Paulo Savio ;
Baptista, Antonio Jose M. dos Santos ;
Torres, Robledo de Almeida ;
Santos, Heleno do Nascimento .
REVISTA BRASILEIRA DE ZOOTECNIA-BRAZILIAN JOURNAL OF ANIMAL SCIENCE, 2006, 35 (03) :1242-1250