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Research Detail

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F. Yasmin
Corresponding author:
Agriculture Research Council, Farmgate, Dhaka-1215, 2 Bangladesh Livestock Research Institute, Savar, Dhaka -1341.

K.S. Huque
Agriculture Research Council, Farmgate, Dhaka-1215, 2 Bangladesh Livestock Research Institute, Savar, Dhaka -1341.

S.A. Chowdhury
Agriculture Research Council, Farmgate, Dhaka-1215, 2 Bangladesh Livestock Research Institute, Savar, Dhaka -1341.

M.A.H. Miyan


To increase goat-meat production, this study has been aimed to evaluate goat-meat production potentiality using different management strategies of goat-population rather than goat-meat productivity management in Bangladesh. Simulation Matrix (SIMM) model was used under three scenarios of goat-population management strategies such as Scenario1(Base rate): 2 kids/year production with 30% kid mortality, Scenario 2: Production of 6 kids/year with 30% kid mortality and Scenario 3: Production of 6 kids/year with 10% kid mortality to analyze their impact on goat-meat production in Bangladesh. Results showed on average only 270.09 thousand ton /year of goat-meat can produce at the existing rate (2 kids Production/year with 30% kid mortality). If it is possible to increase kid production up to 6 then can produce on average 23714.4 thousand ton/year of goat-meat. Further, it is possible to reduce the kid mortality rate up to 10%, goat-meat is the highest 932430.0 thousand ton/year. Result indicated a great positive impact of goat-population management strategies on goat-meat production. Therefore, 10% kid mortality rate with 6 kids/year production of goat-population management could be suitable management or best strategy for higher goat-meat production in Bangladesh. 

  Goat meat-production, Goat-population management, SIMM model
  In Bangladesh
  
  
  Animal Health and Management
  Goat, Meat

To evaluate the impact of different goat-population management strategies on goat-meat production in Bangladesh.

System Simulation: For the model system simulation, a system can be defined as a collection of components and their interrelationships which have been grouped together for the purpose of studying some part of the real world. In this study system approach includes such ideas as those of the system philosophy and the way of thinking about solving production problems in terms of a system simulation. System analysis is a technique used in analyzing the system and, the system approach itself is the style of managing the system. Subjective assessment explains a simple graphical display of model-output in relation to the controllable and uncontrollable exogenous variables and possible relative to real-system output. The level is a major component of a system whose changing values are particularly concerned. The rate directly brings about changes in the value of the level while the auxiliary represents factor may influence rates. The goat production from the system is dependent on the stream of kidding rate and mortality rate imposed upon the system. Simulation is a procedure simulation of equations for computing successive time increments. In doing so this process traces a time path representing the dynamics of the system. An ex-post model validation test is used in order to determine whether the model is a valid mimicry of the real system simulated. The structural and behavioral relationships in the model are theoretically accepted, internally corrected and made consistent in a logical and programming sense. The procedure involved a series of computer runs with different variables. This analysis is similar to the analysis of the real-world data, but there are some differences because randomness enters in a very complicated form in a simulation experiment (ex-ante simulation). Several strategies have been tested in order to determine the effects of those strategies on production, to implement production policies (Yasmin, 2001). The change of kid production and mortality rate in a real goat production system would change an output of goat meat, than the same direction of change should happen in the output model.  Simulation Matrix (SIMM) Model The models for estimating goat-population are considered using the Livestock System Modeling: Simulation Matrix (SIMM) model; a Technology of Policy Analysis developed by Yasmin (2001).

  Bang. J. Livs. Res. Special Vol. 21-25, 2018: P. 118-126, ISSN 1022-3851
  
Funding Source:
  

Not only in small amounts but slowly the production of goat meat can be increased by increasing productivity using special feeding, housing and care which is not the actual solution of meet-up goat-meat demand in the context of Bangladesh. The results of SIMM technology indicated an only a higher number of total female goats maintain a higher number of goat-population, so in order to increase goatmeat, the rates of mortality will have to be reduced from 30% to 10% and the number of kid production needs to increase from 2 kids to 6 kids/year. In order to reach the targets, efforts need special care for reducing kid mortality and breed development for higher kid production. Therefore, to increase the total goat population government should create; vaccination, health and medical care facilities for reducing kid mortality rate and opportunities to produce/supply high breed goat for higher kid production.

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