Record Details

Assessment of the influence of monsoon rain on rainy season rice (Oryza sativa) productivity over major rice growing states

Indian Agricultural Research Journals

View Archive Info
 
 
Field Value
 
Title Assessment of the influence of monsoon rain on rainy season rice (Oryza sativa) productivity over major rice growing states
 
Creator SUBASH, N
MOHAN, HS RAM
 
Subject Crop productivity; Monsoon rainfall; Monthly rainfall anomaly; Productivity anomaly index; Rice growing;environment; Technological trend
 
Description A study was conducted to understand the influence of monsoon rainfall on rice (Oryza sativa L.) productivity and also to quantify the contribution of monthly distribution of rainfall during monsoon period on rice productivity over the important rice growing states. The main rice growing season in the country is rainy (kharif) season in which farming operations start with onset of monsoon. About 84% of the country’s rice crop is grown in this season. Eventhough, south-west monsoon strikes Kerala coast normally during the first week of June, the summer /pre-monsoon showers during May also have crucial role because the farmers’ of eastern, coastal and peninsular region prepare their nursery during this time, so as to start main field preparation and transplanting with onset of monsoon. Assam receives 12.2% (280.2 mm) of its annual rainfall (2291.4 mm) during May, while Gujarat receives only 1.3% (9.3 mm). The rice crop continues to show an overall steady increase in productivity in all the states. The higher percentage of increase (140%) in triennium productivity was noticed in West Bengal, followed by Uttar Pradesh (127%). However a very low 26% increase in triennium productivity was observed in Maharashtra, followed by 34% increase in Bihar. Despite 56% rice area being under irrigation over India, 67% contribution of monthly rainfall during May–October to productivity variation indicate that the multiple regression equation could be used for estimating the productivity over India. In Haryana, rainfall distribution during May–October contributes only 3% to productivity variations while in Gujarat rainfall distribution during May–October explains 72% of productivity variations.
 
Publisher The Indian Journal of Agricultural Sciences
 
Contributor ICAR
 
Date 2010-08-03
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/287
 
Source The Indian Journal of Agricultural Sciences; Vol 80, No 7 (2010)
0019-5022
 
Language eng
 
Relation http://epubs.icar.org.in/ejournal/index.php/IJAgS/article/view/287/269
 
Rights Copyright (c) 2014 The Indian Journal of Agricultural Sciences