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Nadri, S., Sadeghi-Sefidmazgi, A., Ghorbani, G., Zamani, P. (2022). Estimating the economic value of residual feed intake using bioeconomic modeling. , 24(4), 383-393. doi: 10.22059/jap.2022.338350.623674
Sara Nadri; Ali Sadeghi-Sefidmazgi; Gholam Reza Ghorbani; Pouya Zamani. "Estimating the economic value of residual feed intake using bioeconomic modeling". , 24, 4, 2022, 383-393. doi: 10.22059/jap.2022.338350.623674
Nadri, S., Sadeghi-Sefidmazgi, A., Ghorbani, G., Zamani, P. (2022). 'Estimating the economic value of residual feed intake using bioeconomic modeling', , 24(4), pp. 383-393. doi: 10.22059/jap.2022.338350.623674
Nadri, S., Sadeghi-Sefidmazgi, A., Ghorbani, G., Zamani, P. Estimating the economic value of residual feed intake using bioeconomic modeling. , 2022; 24(4): 383-393. doi: 10.22059/jap.2022.338350.623674

Estimating the economic value of residual feed intake using bioeconomic modeling

تولیدات دامی
Article 1, Volume 24, Issue 4, December 2022, Pages 383-393    PDF (502.31 K)
Document Type: Research Paper
DOI: 10.22059/jap.2022.338350.623674
Authors
Sara Nadri* 1; Ali Sadeghi-Sefidmazgi2; Gholam Reza Ghorbani1; Pouya Zamani3
1Department of Animal Sciences, College of Agriculture, Isfahan University of Technology, Isfahan, Iran
2Department of Animal Science, Faculty of Agriculture, Isfahan University of Technology, Isfahan-Iran
3Department of Animal Science, Faculty of Agricultura, Bu-Ali Sina University, Hamedan, Iran.
Abstract
The aim of this study was to estimate the economic values for residual feed intake and some production and performance traits in Iranian Holstein dairy cow. For this purpose, trait by trait or multiple traits of bio-economic modeling along with production and economic data were used. These data were collected from seven large herds of dairy cows in 2020. The economic values of the residual feed intake was calculated in four different age groups. The diets of different groups were formulated using CNCPS software. Index economic weights (multiplication of the economic values by discounted genetic expressions, in Rial and one cow per year) on average at the level of the studied farms were estimated to be IRR 14280 per kg of milk yield; IRR 291060 per kg of fat yield; IRR 232260 per kg of protein yield; IRR - 790860 per kg of residual feed intake; IRR 702588 per month of longevity and IRR- 113820 per day of days open. The sensitivity analysis showed that the price of concentrate ingredients has a greater effect on the economic value of the residual feed intake than of forage ingredients. In the genetic- economic analysis, the milk production with a relative emphasis of 50 percent was the most important trait in the breeding of Iranian dairy cows, while the relative emphasis on feed efficiency was only about 5 percent. The results of this research provide valuable information for economic values of traits that can be used to complete the national selection index and cost-benefit analysis.
Keywords
dairy cow; economic weight; feed efficiency; relative emphasis; sensitivity analysis
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