کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
9954655 | 1553917 | 2018 | 39 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Bioeconomic simulation of compensatory growth in beef cattle production systems
ترجمه فارسی عنوان
شبیه سازی اقتصادی بیولوژیکی رشد جبرانی در سیستم تولید گاو گوشتی
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کلمات کلیدی
جبران خسارت، شاخص جبران کننده، سود جبران کننده، شبیه سازی تصادفی،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
علوم دامی و جانورشناسی
چکیده انگلیسی
The manipulation of growth can be used as a strategy to reduce feeding costs. The objective of this study was to analyze, by deterministic and stochastic simulation, compensatory growth effects on the bioeconomic results of growing-finishing beef cattle systems. Four beef cattle systems were simulated with different feed restriction periods (no restriction, CONT; 90 days of restriction, COMP90; 120 days of restriction, COMP120; and 150 days of restriction, COMP150). Risk analysis was performed using the Monte Carlo method. Animals in feed restriction systems demonstrated partial compensation and required longer periods to achieve slaughter weight than CONT steers (16, 23 and 27 more days for COMP90, COMP120 and COMP150, respectively). The CONT system was the most productive (466â¯kg/ha/year), followed by COMP90 (443â¯kg/ha/year), COMP120 (432â¯kg/ha/year), and COMP150 (383â¯kg/ha/year). The most profitable system was the COMP90 system (US$ 161/ha) followed by the CONT (US$ 144/ha). The lower net margin was observed in the COMP120 (US$ 107/ha) and COMP150 (US$ 90/ha) systems. The risk analysis showed that COMP90 presented the highest financial stability. For all simulated systems, prices of finished steers, feeder calves, and corn were the variables with the greatest effects on net margin. The use of compensatory growth can be a tool to reduce feeding costs in beef cattle systems; however, the feed restriction must not be longer than three months.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Livestock Science - Volume 216, October 2018, Pages 165-173
Journal: Livestock Science - Volume 216, October 2018, Pages 165-173
نویسندگان
Rúbia Branco Lopes, Maria Eugênia Andrighetto Canozzi, Leonardo Canalli Canellas, Fredy Andrey Lopez Gonzalez, Ricardo Faria Corrêa, Paulo Rodrigo Ramos Xavier Pereira, Júlio Otávio Jardim Barcellos,