WEEKLY TREND DETECTION IN METEOROLOGICAL DATA FOR CROP RESPONSE

  • N. S. Vithlani
  • J. J. Makwana
  • G. V. Prajapati
Keywords: Summer Season, Rabi, kharif, Warming Trend, Comparisons Mann–Kendall (MK) test, Spearman rank correlation (SRC) Test, Turning point

Abstract

Climate is perceived to be changing worldwide and there has been growing concern towards the direction and magnitude of these changes. Greenhouse gases are responsible for maintaining earth's surface temperature suitable for sustaining life, but excess emission of GHGs increase the earth’s surface temperature and causing global warming. Globally, over the past several decades, about 80 percent of human-induced carbon dioxide emissions came from the burning of fossil fuels, while about 20 percent from deforestation and associated agricultural practices. The objective of the study are  to document the ability of the turning test, MK test, Sen’s Slope and Spearman rank correlation to detect the weekly trend. And To discuss the different between statically significance and practical significance. Conclusions are parted in different season like Kharif, rabi and Summer season. In which. Over all found that the minimum temperature trend is increases during kharif season. In Rabi season the both temperature are increase so at that time the CWR requirements are more. If the minimum temperature is increase its effect on crops (Wheat and cumin) growth and yield is decrease.In summer season. The high temperature from flowering and from podding increase flower numbers, but reduced fruit set, resulting in reduction in reproductive number, pod number and pos yield. High temp also reduced the total dry matter when imposed at flowering, but not at podding. However, pod weights were reduced by high air temperature during the flowering and podding.

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Author Biographies

N. S. Vithlani

Research Associate, Research Testing and Training Centre (RTTC), Junagadh Agriculture University, Junagadh

J. J. Makwana

Assistant Research Scientist, Centre for Natural Resource Management, S.D. Agriculture University, Sardarkrushinagar

G. V. Prajapati

Associate Professor, Research Testing and Training Centre (RTTC), Junagadh Agriculture University, Junagadh

Published
2019-12-27
How to Cite
Vithlani, N., Makwana, J., & Prajapati, G. (2019, December 27). WEEKLY TREND DETECTION IN METEOROLOGICAL DATA FOR CROP RESPONSE. Innovative Farming, 4(4), Under review. Retrieved from http://innovativefarming.in/index.php/innofarm/article/view/397

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