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Kingston : Queen’s University Canada (2008)

An optimization study of integrated agriculture production systems for meeting household food, fodder and fuel demands : a case study in the dryland region of India

Ralevic, Peter

Titre : An optimization study of integrated agriculture production systems for meeting household food, fodder and fuel demands : a case study in the dryland region of India.

Auteur : Ralevic, Peter

Université de soutenance : Kingston : Queen’s University

Grade : Master of Environmental Studies 2008

Résumé partiel
India’s population of 1.2 billion who reside in rural villages, agriculture is often the primary source of income, as well as of food, fodder and fuel. Rural agricultural systems are recognized as complex mixed-cropping-livestock systems, whereby primary and secondary products from one component of the system are used in another. For instance, primary products such as grain and milk from livestock can be used for human consumption, while secondary products such as crop residues can be used as fodder or fuel, while manure finds use as fertilizer. Variations in cropping pattern and intensity will determine the production potential of food, fodder and fuel within a region. As limiting factors, land area and yield must also be considered in agricultural planning activities. The present research aims to develop a rational method for crop selection within a particular agro-ecoregion. An optimization model is constructed to optimize for selected parameters that are set to maintain defined basic minimum standards for human nutritional and livestock fodder demands. An agricultural survey was carried out in 2007 for three villages in Karnataka State, India. All three villages were located within the dryland agro-ecozone, where crop yields are relatively low. The survey was stratified according to household landholding area ranging from marginal (0-1 ha) to large (>4 ha). Information was solicited on the demographic indicators of the population, the cropping cycle and cropping varieties used within the regions, and certain livestock parameters were gathered. Various demands, such as human food energy and protein requirements as well as fodder, and constraints, such as land area, were modeled to determine the potential for food, fodder and fuel production under optimal cropping pattern.

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