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Vol. 11, Special Issue 5 (2022)

Temporal dynamics of finger millet in Karnataka - non parametric statistical approach

Author(s):
Nidhi and Kishor Kumar V
Abstract:
Since last few decades, the policy makers and other stakeholders have been continuously promoting rice and wheat; and other crops like millets have suffered negligence thereby resulting in little public and private investment on their research and development. However, in last few years there has been a growing realization of its importance if it’s attributes of being nutrient dense and ability to withstand the vagaries of changing climate. This work is an attempt to investigate the temporal dynamics that finger millet has undergone with respect to its area, production and productivity in the state of Karnataka vis-a-vis India. LOWESS (locally weighted scatter plot smooth) curve has been used to assess the long-term patterns in the data series of 67 years period of area, production and productivity of finger millet for Karnataka as well as India. Non parametric Mann Kendall test is applied to detect the presence of trend in area, production and productivity of finger millet. The time of abrupt shift in the time series pattern of area, production and productivity were detected by Pettitt-Mann-Whitney test. For the whole study period, area under finger millet cultivation was found to have declining trend for Karnataka as well as India, but production and productivity were increasing. Further based on the change point for each of the times series, the study period was divided into two segments and trend for two time segments were separately studied. It was noteworthy to observe varying increasing and decreasing trends in both the periods.
Pages: 802-808  |  253 Views  79 Downloads
How to cite this article:
Nidhi and Kishor Kumar V. Temporal dynamics of finger millet in Karnataka - non parametric statistical approach. The Pharma Innovation Journal. 2022; 11(5S): 802-808.

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