Calibration and validation of the INFOCROP model for moisture stress situation in cotton

INFOCROP model is a generic model that integrates variety, soil, environmental and management practices. In cotton as water deficit stress increases the yield decreases in linear trend. The INFOCROP model overestimates the yield to an extent of 8.79 percent. The INFOCROP model simulated more number of days for phenological observations viz., anthesis (80 days) and maturity (177 days). The simulated boll weight is less than observed. Similarly INFOCROP model showed 16 percent more leaf area index in irrigated and 5.6 percent in rainfed condition. The boll weight deviated to an extent of 40 percent. During 2010-11 in the present study there was 16 percent decrease in yield in rainfed condition as compared to irrigated condition. There was decrease in growth and yield parameters. Thus considering the overall performance of the INFOCROP model, it predicts the yield to 91 percent of accuracy and hence it can be used in the evaluation of inputs and factors controlling growth for yield prediction in cotton.

Authors

Publication Details

Journal
International Journal of Agriculture and Nutrition
Published
2025-01-01
DOI
https://doi.org/10.33545/26646064.2025.v7.i7a.235
Primary Topic
Textile materials and evaluations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Calibration and validation of the INFOCROP model for moisture stress situation in cotton

B. B. Patil, Somashekhargouda Patil
International Journal of Agriculture and Nutrition
Textile materials and evaluations
article

Calibration and validation of the INFOCROP model for moisture stress situation in cotton

B. B. Patil, Somashekhargouda Patil
article en

Abstract

INFOCROP model is a generic model that integrates variety, soil, environmental and management practices. In cotton as water deficit stress increases the yield decreases in linear trend. The INFOCROP model overestimates the yield to an extent of 8.79 percent. The INFOCROP model simulated more number of days for phenological observations viz., anthesis (80 days) and maturity (177 days). The simulated boll weight is less than observed. Similarly INFOCROP model showed 16 percent more leaf area index in irrigated and 5.6 percent in rainfed condition. The boll weight deviated to an extent of 40 percent. During 2010-11 in the present study there was 16 percent decrease in yield in rainfed condition as compared to irrigated condition. There was decrease in growth and yield parameters. Thus considering the overall performance of the INFOCROP model, it predicts the yield to 91 percent of accuracy and hence it can be used in the evaluation of inputs and factors controlling growth for yield prediction in cotton.

International Journal of Agriculture and NutritionVol. 7(7)
Zero hunger
Openalex Percentile: Top 86%
Textile materials and evaluations
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.