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Title: | Monitoring of meteorological drought and its impact on rice (Oryza sativa L.) productivity in Odisha using standardized precipitation index |
Other Titles: | Not Available |
Authors: | Raja, R., Nayak, A.K., Panda, B.B., Lal, B., Tripathi, R., Mohammad Shahid, Anjani Kumar, Mohanty, S., Samal, P., Priyanka Gautam, Rao, K.S. |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::National Rice Research Institute |
Published/ Complete Date: | 2014-03-31 |
Project Code: | Not Available |
Keywords: | meteorological drought; rainfed rice; drought risk; rice productivity index |
Publisher: | Taylor & Francis |
Citation: | Raja, R., Nayak, A.K., Panda, B.B., Lal, B., Tripathi, R., Mohammad Shahid, Anjani Kumar, Mohanty, S., Samal, P., Priyanka Gautam, Rao, K.S. 2014. Monitoring of meteorological drought and its impact on rice (Oryza sativa L.) productivity in Odisha using standardized precipitation index. Archives of Agronomy and Soil Science, 60 (12): 1701-1715 |
Series/Report no.: | Not Available; |
Abstract/Description: | The dynamics of meteorological drought and its relationship with block level rice productivity over the Eastern Indian state of Odisha was assessed during the wet season (June to November) using the standardized precipitation index (SPI). The time series of rainfall data (1983–2008) from 168 rain gauge stations was used to derive the 1- and 3-month SPI of different wet season months. The 1- and 3-month SPI data were interpolated to map spatial patterns of meteorological drought and its severity, and the maps of a drought (2008) and normal (2007) year were discussed in detail. Further, the time series of SPI was exploited to assess the drought risk in Odisha. Correlation analysis of 1- and 3-month SPI with rice productivity index (RPI) showed that the SPI of 1-month time scale particularly in July (r = 0.49) and October (r = 0.33) had significantly stronger relationship with RPI than any of the 3-month SPI individually during wet season. The cumulative degree of severity of drought could be better explained by 3-month SPI map when drought events are well spread in the preceding months. Regression models were developed using 1- and 3-month SPI for forecasting rice productivity of blocks with varying proportion of rainfed area in Odisha. Model developed based on 1-month SPI accounted for 27% yield variability in rice and could be used for forecasting rice productivity. |
Description: | Not Available |
ISSN: | ISSN: 0365-0340 |
Type(s) of content: | Research Paper |
Sponsors: | Indian Council of Agricultural Research |
Language: | English |
Name of Journal: | Archives of Agronomy and Soil Science |
NAAS Rating: | 8.14 |
Volume No.: | 60 (12) |
Page Number: | 1701-1715 |
Name of the Division/Regional Station: | Crop Production Division |
Source, DOI or any other URL: | http://dx.doi.org/10.1080/03650340.2014.912033 |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/73908 |
Appears in Collections: | CS-CICR-Publication |
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