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INFOCROP-Cotton Simulation model – its application in land quality assessment for cotton cultivation

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Title INFOCROP-Cotton Simulation model – its application in land quality assessment for cotton cultivation
Not Available
 
Creator Venugopalan, M.V. et al.
 
Subject Bt cotton, land quality, relative yield index, simulation model.
 
Description Not Available
Crop simulation models have emerged as powerful
tools for estimating yield gaps, forecasting production
of agricultural crops and analysing the impact of climate
change. In this study, the genetic coefficients for
Bt hybrids established from field experiments were
used in the InfoCrop-cotton model, which was calibrated
and validated earlier to simulate the cotton
production under different agro-climatic conditions.
The model simulated results for Bt hybrids were satisfactory
with an R
2
value of 0.55 (n = 22), d value of
0.85 and a root mean square error of 277 kg ha–1
,
which was 11.2% of the mean observed. Relative yield
index (RYI) defined as the ratio between simulated
rainfed (water-limited) yield to potential yield, was
identified as a robust land quality index for rainfed
cotton. RYI was derived for 16 representative benchmark
(BM) locations of the black soil region from
long-term simulation results of InfoCrop-cotton model
(based on 11–40 years of weather data). The model
could satisfactorily capture subtle differences in soil
variables and weather patterns prevalent in the BM
locations spread over 16 agro-ecological sub-regions
(AESRs) resulting in a wide range of mean simulated
rainfed cotton yields (482–4393 kg ha–1
). The BM soils
were ranked for their suitability for cotton cultivation
based on RYI. The RYI of black soils (vertisols)
ranged from 0.07 in Nimone to 0.80 in Panjari representing
AESR (6.1) and AESR (10.2) respectively,
suggesting that Panjri soils are better suited for
rainfed cotton.
Not Available
 
Date 2018-11-29T05:39:02Z
2018-11-29T05:39:02Z
2014-11-10
 
Type Research Paper
 
Identifier Venugopalan, M.V. et al. 2014. INFOCROP-Cotton Simulation model – its application in land quality assessment for cotton cultivation. Current Science 107(9): 1412-1418
0011-3891
http://krishi.icar.gov.in/jspui/handle/123456789/13958
 
Language English
 
Relation Not Available;
 
Publisher CURRENT SCIENCE ASSOCIATION