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Assam Agricultural University, Jorhat

Assam Agricultural University is the first institution of its kind in the whole of North-Eastern Region of India. The main goal of this institution is to produce globally competitive human resources in farm sectorand to carry out research in both conventional and frontier areas for production optimization as well as to disseminate the generated technologies as public good for benefitting the food growers/produces and traders involved in the sector while emphasizing on sustainability, equity and overall food security at household level. Genesis of AAU - The embryo of the agricultural research in the state of Assam was formed as early as 1897 with the establishment of the Upper Shillong Experimental Farm (now in Meghalaya) just after about a decade of creation of the agricultural department in 1882. However, the seeds of agricultural research in today’s Assam were sown in the dawn of the twentieth century with the establishment of two Rice Experimental Stations, one at Karimganj in Barak valley in 1913 and the other at Titabor in Brahmaputra valley in 1923. Subsequent to these research stations, a number of research stations were established to conduct research on important crops, more specifically, jute, pulses, oilseeds etc. The Assam Agricultural University was established on April 1, 1969 under The Assam Agricultural University Act, 1968’ with the mandate of imparting farm education, conduct research in agriculture and allied sciences and to effectively disseminate technologies so generated. Before establishment of the University, there were altogether 17 research schemes/projects in the state under the Department of Agriculture. By July 1973, all the research projects and 10 experimental farms were transferred by the Government of Assam to the AAU which already inherited the College of Agriculture and its farm at Barbheta, Jorhat and College of Veterinary Sciences at Khanapara, Guwahati. Subsequently, College of Community Science at Jorhat (1969), College of Fisheries at Raha (1988), Biswanath College of Agriculture at Biswanath Chariali (1988) and Lakhimpur College of Veterinary Science at Joyhing, North Lakhimpur (1988) were established. Presently, the University has three more colleges under its jurisdiction, viz., Sarat Chandra Singha College of Agriculture, Chapar, College of Horticulture, Nalbari & College of Sericulture, Titabar. Similarly, few more regional research stations at Shillongani, Diphu, Gossaigaon, Lakhimpur; and commodity research stations at Kahikuchi, Buralikson, Tinsukia, Kharua, Burnihat and Mandira were added to generate location and crop specific agricultural production packages.

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  • ThesisItemOpen Access
    Impact of Weather Parameters on Winter Rice Productivity in North Bank Plains Zone of Assam
    (AAU, Jorhat, 2021) BURAGOHAIN, RABIJITA; Saikia, Hemanta
    Weather parameters play a very significant role in the diversity of agriculture from region to region. The impact of weather parameters on crop health is mostly influenced by the variabilities in local or regional climate rather than the global climate patterns. Assam is well-recognized for its rich genetic diversity of rice. The climatic condition and geographical location cause greater production of rice over the past in Assam. Winter rice is the leading rice crop, accounting for a major portion of the total rice production in Assam as well as in India. In this study, an attempt has been made to find a better implementable plan for the farmers and policy makers to increase the winter rice productivity in North Bank Plains Zone (NBPZ) of Assam by analyzing over thirty years of data. NBPZ is one of the main regions, where most of its livelihood depends on agriculture. The purpose of the study was to analyze the trend of area, production and productivity of winter rice and to estimate the impact of weather parameters in winter rice productivity in NBPZ of Assam. Moreover, the analysis also revealed inter-district and intra-district variation of weather impacts on winter rice productivity. Overall thirty years of secondary data were evaluated for the study. To make a more clear vision, again data were sub-divided into three decadal periods viz. period I (1988-89 to 1997-98), period II (1998-99 to 2007-08) and period III (2008-09 to 2017-18) respectively. Different statistical tools viz. homogeneity test and change point detection of the data series over the decadal and overall thirty years were evaluated. Pettitt‟s test and Buishand‟s test were used to confirm the change point of the period. The robust non-parametric Mann-Kendall test confirmed the trend pattern of winter rice productivity in NBPZ along with Sen‟s slope estimate of the rate of change per year of area, production and productivity. Although, stepwise multiple linear regression was performed to estimate the effects of climate change on winter rice productivity. The four weather parameters viz. maximum temperature, minimum temperature, rainfall and rainy days were considered for weather impact assessment. These parameters possess the most significant fluctuations in the NBPZ of Assam. Analyzing over thirty years of the dataset for the aggregate of NBPZ also resulted that the productivity of winter rice being highly influenced by maximum temperature and minimum temperature. Although, Period III of Sonitpur and Lakhimpur district, the number of rainy days were found significant for winter rice productivity. The analysis over the past decades of NBPZ was to provide essential information to the agricultural planner and policymakers responsible for designing efficient agricultural policies and for making significant decisions concerning resources allocation for the development of the agricultural sector in NBPZ as well as for Assam. The study revealed that the NBPZ is not limited to studying climate-resilient productivity of winter rice only, there is a great need for implementation of effective measures as crop production and productivity has a greater influence on the socio-economic needs of the people. Keywords: Winter rice, NBPZ, weather parameters, MK-test, Stepwise multiple linear regression. .