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Optimal utilisation of natural resources for agricultural sustainability in rainfed hill plateaus of Orissa

机译:奥里萨邦雨山丘陵地区自然资源的最佳利用以实现农业可持续发展

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摘要

The climatic data for 17 years from 1988 to 2004 of the rainfed hill plateaus of Kandhamal district of Orissa (India) were analyzed to find out the monthly climatic index from the calculated values of effective rainfall and evapotranspiration. The 80% dependable monthly climatic index was correlated with crop coefficient and suitable cropping period and sequences for the study area were suggested based on it. The extent of investment, net return and soil loss from agriculture were estimated as per the present condition and for the suggested cropping patterns. A mathematical model was formulated for optimal allocation of area to different crop sequences with different objectives viz. minimization of soil loss, minimization of investment and maximization of net return from agriculture and was solved using linear goal programming technique. The model suggested to take up food crops in area of 1,30,777ha and perennial grass cover in 3223ha with a cropping intensity of 1.61 resulting in a net return of Rs 1064.775 millions sustaining soil loss to a tune of 9489.67thousandtons per year. The model was found to be favourable in respect of higher net return of Rs 8862.34 and lesser soil loss of 23.41tons/ha than the corresponding present values. But more investment of Rs 4489.01 per ha was required to fulfill the objectives.
机译:分析了印度奥里萨邦(Orissa)坎德哈马尔(Kandhamal)地区1988年至2004年的雨养丘陵高原17年的气候数据,从有效降雨和蒸散量的计算值中找出了每月的气候指数。将80%的每月可靠气候指数与作物系数相关联,并据此建议研究区域的适宜种植时期和顺序。根据目前情况和建议的种植方式,估算了投资的程度,农业的净收益和土壤流失。建立了数学模型,以将面积最佳分配给具有不同目标的不同农作物序列。通过线性目标规划技术解决了水土流失最小化,投资最小化和农业净收益最大化的问题。该模型建议在1,30,777公顷的土地上种植粮食作物,在3223公顷的土地上种植多年生草,种植强度为1.61,导致净收益为10,647.75亿卢比,每年土壤流失达9489.67万吨。与更高的净现值相比,该模型具有更高的净收益8862.34卢比和更少的水土流失23.41吨/公顷,被认为是有利的。但是,要实现这些目标,还需要每公顷4489.01卢比的更多投资。

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