Record Details

Forecasting rainfed rice yield with biomass of early phenophases, peak intercepted PAR and ground based remotely sensed vegetation indices

KRISHI: Publication and Data Inventory Repository

View Archive Info
 
 
Field Value
 
Title Forecasting rainfed rice yield with biomass of early phenophases, peak intercepted PAR and ground based remotely sensed vegetation indices
Not Available
 
Creator GOURANGA KAR and ASHWANI KUMAR
 
Subject Radiation interception, rice, vegetation index, yield forecasting, biomass
 
Description Not Available
Rice is the main staple food of the country but crop productivity in some years declines due to
erratic monsoon and non-uniformity in spatial and temporal distribution of rainfall. Hence, assessing
productivity of the rice crop in advance using meteorological and plant physiological attributes will be
helpful for planners to take decision on contingency measures. In this investigation, dry biomass of early
phenophases (active tillering, panicle initiation, boot leaf stages, flowering),peak intercepted
photosynthetically active radiation (IPAR), peak spectral reflectance based vegetation indices of 3 rice
varieties under 3 nitrogen levels (50, 100 and 130 kg ha-1) were made correlated with grain yield.Based
on interrelationship it was found that biomass of flowering period was better correlated with grain yield
with the R2 value of 0.75.Inter-relationship between peak IPAR(%), remotely sensed peak simple ratio
index (IR/R) and normalized difference vegetation index (NDVI)with the rice yield were also established.
Multiple regression modelwas developed by interrelating yield as dependant variable with dry biomass of
flowering stage, peak IPAR(%) and peak IR/R and NDVI as independent variables which may be used as
an effective tool for early prediction of rice yield, at least 30-40 days in advance. The grain yield was also
estimated through developed algorithm using MODIS satellite derived NDVI and compared with that of
actual yield.
Not Available
 
Date 2022-01-03T09:25:04Z
2022-01-03T09:25:04Z
2014-01-01
 
Type Article
 
Identifier Kar, G., Ashwani Kumar.2014. Forecasting rainfed rice yield with biomass of early phenophases, peak intercepted PAR and ground based remotely sensed vegetation indices. Journal of Agrometeorology 16 (1) : 94-103
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/68472
 
Language English
 
Relation Not Available;
 
Publisher Not Available