Journal of Bioscience and Agriculture Research |
|
RESEARCH ARTICLE:
An integrated model of forage, meat and emission in a beef cattle production system
Muhammad Shahinur Alam (1), Pablo Andres Segovia (2), Tanjina Islam (3) and Kowshik Kumar Saha (4)
1Dept. of Agricultural Engineering, Sher-e-Bangla Agricultural University (SAU), Dhaka-1207
2Managing Director at Legro America, Legro Potgrondbedrijf BV, Netherlands
3Dept. of Horticulture, Sher-e-Bangla Agricultural University (SAU), Dhaka-1207
4Farm Machinery and Postharvest Process Engineering Division, Bangladesh Agricultural Research Institute (BARI), Gazipur-1701, Bangladesh
Article info.
Received: 28.01.18, Revised: 08.03.18, First available online: 16 March 2018, Second available online: 29 March 2018.
J. Bios. Agric. Res. | Volume 16, Issue 02, pp. 1237-1247
Crossref: https://doi.org/10.18801/jbar.160218.166
An integrated model of forage, meat and emission in a beef cattle production system
Muhammad Shahinur Alam (1), Pablo Andres Segovia (2), Tanjina Islam (3) and Kowshik Kumar Saha (4)
1Dept. of Agricultural Engineering, Sher-e-Bangla Agricultural University (SAU), Dhaka-1207
2Managing Director at Legro America, Legro Potgrondbedrijf BV, Netherlands
3Dept. of Horticulture, Sher-e-Bangla Agricultural University (SAU), Dhaka-1207
4Farm Machinery and Postharvest Process Engineering Division, Bangladesh Agricultural Research Institute (BARI), Gazipur-1701, Bangladesh
Article info.
Received: 28.01.18, Revised: 08.03.18, First available online: 16 March 2018, Second available online: 29 March 2018.
J. Bios. Agric. Res. | Volume 16, Issue 02, pp. 1237-1247
Crossref: https://doi.org/10.18801/jbar.160218.166
FULL TEXT PDF:
166.16.2.18_version_2_an_integrated_model_of_forage_meat_and_emission_in_a_beef_cattle_production_system.pdf | |
File Size: | 1034 kb |
File Type: |
-
Abstract
-
Citations
-
References
<
>
Title: An integrated model of forage, meat and emission in a beef cattle production system
Abstract: The beef cattle production system is a complex system as it includes biological, economic and social factors which are also individually intricate in nature. In this approach a simplified relationship and interactions between various factors that control the system have been presumed to develop the integrated model of meat production, use and storage of forage, manure excretion and emission. Three major subsystems namely meat production, forage management and emissions were described separately and finally combined into a single system to simulate the system output. A dynamic Monte Carlo simulation software (GoldSim) has been used to simulate the system. Various management scenarios are considered to see the model performance and uncertainty.
Key Words: Beef Cattle, Forage, Simulation, Biological systems and GoldSim
Abstract: The beef cattle production system is a complex system as it includes biological, economic and social factors which are also individually intricate in nature. In this approach a simplified relationship and interactions between various factors that control the system have been presumed to develop the integrated model of meat production, use and storage of forage, manure excretion and emission. Three major subsystems namely meat production, forage management and emissions were described separately and finally combined into a single system to simulate the system output. A dynamic Monte Carlo simulation software (GoldSim) has been used to simulate the system. Various management scenarios are considered to see the model performance and uncertainty.
Key Words: Beef Cattle, Forage, Simulation, Biological systems and GoldSim
HOW TO CITE THIS ARTICLE?
APA (American Psychological Association)
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. (2018). An integrated model of forage, meat and emission in a beef cattle production system. Journal of Bioscience and Agriculture Research,16(02), 1337-1347.
MLA (Modern Language Association)
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. “An integrated model of forage, meat and emission in a beef cattle production system”. Journal of Bioscience and Agriculture Research, 16.02(2018): 1337-1347.
Chicago and or Turabian
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. “An integrated model of forage, meat and emission in a beef cattle production system”. Journal of Bioscience and Agriculture Research,16 no.01(2018):1337-1347.
APA (American Psychological Association)
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. (2018). An integrated model of forage, meat and emission in a beef cattle production system. Journal of Bioscience and Agriculture Research,16(02), 1337-1347.
MLA (Modern Language Association)
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. “An integrated model of forage, meat and emission in a beef cattle production system”. Journal of Bioscience and Agriculture Research, 16.02(2018): 1337-1347.
Chicago and or Turabian
Alam, M. S., Segovia, P. A., Islam, T. and Saha, K. K. “An integrated model of forage, meat and emission in a beef cattle production system”. Journal of Bioscience and Agriculture Research,16 no.01(2018):1337-1347.
- Alam, M. S., Lamb, D. W. and Rahman, M. M. (2018). A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient. Computers and electronics in agriculture, 147, 12-17. https://doi.org/10.1016/j.compag.2018.02.008
- Boneschanscher, J., James, A., Stephens, A. and Esslemont, R. (1982). The costs and benefits of pregnancy diagnosis in dairy cows: A simulation model. Agricultural Systems, 9(1), 29-34. https://doi.org/10.1016/0308-521X(82)90037-3
- Bywater, A. C. and Dent, J. B. (1976). Simulation of the intake and partition of nutrients by the dairy cow: Part I—Management control in the dairy enterprise; philosophy and general model construction. Agricultural Systems, 1(4), 245-260. https://doi.org/10.1016/0308-521X(76)90002-0
- Congleton, Jr., W. (1984). Dynamic model for combined simulation of dairy management strategies. Journal of Dairy Science, 67(3), 644-660. https://doi.org/10.3168/jds.S0022-0302(84)81350-8
- Dijkhuizen, A., Stelwagen, J. and Renkema, J. (1986). A stochastic model for the simulation of management decisions in dairy herds, with special reference to production, reproduction, culling and income. Preventive Veterinary Medicine, 4(4), 273-289. https://doi.org/10.1016/0167-5877(86)90010-3
- Gartner, J. (1982). Replacement policy in dairy herds on farms where heifers compete with cows for grassland—Part 3: A revised hypothesis. Agricultural Systems, 8(4), 249-272. https://doi.org/10.1016/0308-521X(82)90068-3
- Groen, A. F. (1988). Derivation of economic values in cattle breeding: A model at farm level. Agricultural Systems, 27(3), 195-213.https://doi.org/10.1016/0308-521X(88)90057-1
- Herrero, J. and Berry, S. (1982). Modelo matematico y programa de computadora para la evaluacion economica de sistemas doble proposito de produccion de leche y becerros destetados. Producción Animal, 152, 175.
- Hirooka, H. (2010). Systems approaches to beef cattle production systems using modeling and simulation. Animal science journal, 81(4), 411-424. https://doi.org/10.1111/j.1740-0929.2010.00769.x; PMid:20662809
- James, A. D. (1977). Models of animal health problems. Agricultural Systems, 2(3), 183-187. https://doi.org/10.1016/0308-521X(77)90003-8
- Kobayashi, M., Howitt, R. E., Jarvis, L. S. and Laca, E. A. (2003). Modeling extensive livestock production systems: An application to sheep production in Kazakhstan. Paper presented at the American Agricultural Economics Association. Annual Meeting, Montreal, Canada, July 27.
- León-Velarde, C. and Quiroz, R. (2001). Modeling cattle production systems: integrating components and their interactions in the development of simulation models. Paper presented at the Proceedings-Third International Symposium on Systems Approaches for Agricultural Development, SAAD III International Potato Center (CIP), Lima Peru. 8pp.
- Lofgreen, G. and Garrett, W. (1968). A system for expressing net energy requirements and feed values for growing and finishing beef cattle. Journal of Animal Science, 27(3), 793-806. https://doi.org/10.2527/jas1968.273793x
- Mayer, D., Belward, J., Widell, H. and Burrage, K. (1999). Survival of the fittest—genetic algorithms versus evolution strategies in the optimization of systems models. Agricultural Systems, 60(2), 113-122. https://doi.org/10.1016/S0308-521X(99)00022-0
- Minson, D. and McDonald, C. (1987). Estimating forage intake from the growth of beef cattle. Tropical Grasslands, 21(3), 116-122.
- Oltenacu, P., Milligan, R., Rounsaville and T., Foote, R. (1980). Modelling reproduction in a herd of dairy cattle. Agricultural Systems, 5(3), 193-205.https://doi.org/10.1016/0308-521X(80)90009-8
- Rotz, C. A., Buckmaster, D. R., Mertens, D. R. and Black, J. R. (1989). DAFOSYM: A Dairy Forage System Model for Evaluating Alternatives in Forage Conservation1. Journal of Dairy Science, 72(11), 3050-3063. https://doi.org/10.3168/jds.S0022-0302(89)79458-3
- Rotz, C. A. and Muck, R. E. (1994). Changes in forage quality during harvest and storage. Forage quality, evaluation, and utilization(foragequalityev), 828-868.
- Sanders, J. O. and Cartwright, T. C. (1979). A general cattle production systems model. I: Structure of the model. Agricultural Systems, 4(3), 217-227.https://doi.org/10.1016/0308-521X(79)90031-3
- Smith, P., Martino, D., Cai, Z., Gwary, D., Janzen, H., Kumar, P., McCarl, B., Ogle, S. O, Mara F, Rice C, Scholes B and Sirotenko O (2007) Agriculture. In ‘Climate Change, 2007, Mitigation,. Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. (Eds B Metz, OR Davidson, PR Bosch, R Dave, LA Meyer) pp. 499-540: Cambridge University Press: Cambridge.
- Sørensen, J. T. (1989). A model simulating the production of dual purpose replacement heifers. Agricultural Systems, 30(1), 15-34. https://doi.org/10.1016/0308-521X(89)90079-6
- West, T. O. and Marland, G. (2002). A synthesis of carbon sequestration, carbon emissions, and net carbon flux in agriculture: comparing tillage practices in the United States. Agriculture, Ecosystems & Environment, 91(1-3), 217-232. https://doi.org/10.1016/S0167-8809(01)00233-X
© 2018 The Authors. This article published by Journal BiNET is freely available for anyone to read, share, download, print, permitted for unrestricted use and build upon, provided that the original author(s) and publisher are given due credit. All Published articles are distributed under the Creative Commons Attribution 4.0 International License.
Require any edit or correction or changes in article? Please contact HERE.