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http://krishi.icar.gov.in/jspui/handle/123456789/15119
Title: | Statistical analysis of Indian rainfall and rice productivity anomalies over the last decades |
Other Titles: | Not Available |
Authors: | N. Subash and B. Gangwar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Institute of Farming Systems Research |
Published/ Complete Date: | 2014-01-01 |
Project Code: | Not Available |
Keywords: | El Ni˜no; India; monsoon; normalized kharif rice productivity anomaly; normalized rainfall anomaly; sea surface temperature; triennium |
Publisher: | Royal Meteorological Society (Wiley-Blackwell) |
Series/Report no.: | Not Available; |
Abstract/Description: | Monsoon fluctuations have a reflective influence on rice productivity, which is the main foodgrain in India. The impact of El Ni˜no on spatial variability of summer monsoon rainfall and thereby kharif rice productivity was analysed for the period 1974–2009. It was clear from the analysis that the delayed onset of monsoon along with El Ni˜no has varied influences on rice productivity over different rice growing states as well as over India. Out of eight El Ni˜no years, 6 years received deficit rainfall during monsoon season. But, the quantity of deficit varies from −20.3% in 2002 to −5.5% in 1991. The monthly distribution of monsoon rainfall shows higher frequency of deficit occurred during July and September. Interestingly, all El Ni˜no years, except in 1997, September received deficit in rainfall which indicate the early withdrawal of monsoon. During 8 moderate and strong El Ni˜no years, 5 years the kharif rice productivity falls below the technological trend ranging by between −4.3% in 1986 and −13.8% in 2002 over India. There exists a wide spatial variability of normalized kharif rice productivity anomaly during moderate El Ni˜no event, with a maximum of −21.9% over Gujarat followed by −15.9% at Maharashtra. However, during the strong El Ni˜no event, there is a maximum of −14.2% at Bihar to −6.6% over Maharashtra. The correlation between normalized monthly rainfall anomaly and rice productivity anomaly during the El Ni˜no years indicated that July rainfall contributed 71% of the variations in rice productivity. Analysis of El Ni˜no impact on spatial rice productivity may be useful for formulating farm-level site specific management planning and policy decisions. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | Not Available |
Language: | English |
Name of Journal: | International Journal of Climatology |
NAAS Rating: | 9.93 |
Volume No.: | 34 |
Page Number: | 2378–2392 |
Name of the Division/Regional Station: | Not Available |
Source, DOI or any other URL: | 10.1002/joc.3845 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/15119 |
Appears in Collections: | NRM-IIFSR-Publication |
Files in This Item:
File | Description | Size | Format | |
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Subash_et_al-2014-International_Journal_of_Climatology.pdf | 767.17 kB | Adobe PDF | View/Open |
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