eprintid: 8857
rev_number: 10
eprint_status: archive
userid: 1305
dir: disk0/00/00/88/57
datestamp: 2015-07-10 08:21:56
lastmod: 2016-10-18 09:55:54
status_changed: 2015-07-10 08:21:56
type: article
metadata_visibility: show
contact_email: Library-ICRISAT@CGIAR.ORG
creators_name: Kadiyala, M D M
creators_name: Nedumaran, S
creators_name: Singh, P
creators_name: Chukka, S
creators_name: Irshad, M A
creators_name: Bantilan, M C S
icrisatcreators_name: Kadiyala, M D M
icrisatcreators_name: Nedumaran, S
icrisatcreators_name: Singh, P
icrisatcreators_name: Chukka, S
icrisatcreators_name: Irshad, M A
icrisatcreators_name: Bantilan, M C S
affiliation: ICRISAT (Patancheru)
country: India
title: An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change
ispublished: pub
subjects: s2.8
divisions: D6
crps: crp1.14
full_text_status: restricted
keywords: Climate change factors; Crop simulation; DSSAT; Virtual cultivars; Yield
abstract: The semi-arid tropical (SAT) regions of India are suffering from low productivity which may be further aggravated by anticipated climate change. The present study analyzes the spatial variability of climate change impacts on groundnut yields in the Anantapur district of India and examines the relative contribution of adaptation strategies. For this purpose, a web based decision support tool that integrates crop simulation model and Geographical Information System (GIS) was developed to assist agronomic decision making and this tool can be scalable to any location and crop. The climate change projections of five global climate models (GCMs) relative to the 1980–2010 baseline for Anantapur district indicates an increase in rainfall activity to the tune of 10.6 to 25% during Mid-century period (2040–69) with RCP 8.5. The GCMs also predict warming exceeding 1.4 to 2.4 °C by 2069 in the study region. The spatial crop responses to the projected climate indicate a decrease in groundnut yields with four GCMs (MPI-ESM-MR, MIROC5, CCSM4 and HadGEM2-ES) and a contrasting 6.3% increase with the GCM, GFDL-ESM2M. The simulation studies using CROPGRO-Peanut model reveals that groundnut yields can be increased on average by 1.0%, 5.0%, 14.4%, and 20.2%, by adopting adaptation options of heat tolerance, drought tolerant cultivars, supplemental irrigation and a combination of drought tolerance cultivar and supplemental irrigation respectively. The spatial patterns of relative benefits of adaptation options were geographically different and the greatest benefits can be achieved by adopting new cultivars having drought tolerance and with the application of one supplemental irrigation at 60 days after sowing.
date: 2015-07-15
date_type: published
publication: Science of The Total Environment
volume: 521–52
publisher: Elsevier
pagerange: 123-134
id_number: 10.1016/j.scitotenv.2015.03.097
refereed: TRUE
issn: 0048-9697
official_url: http://dx.doi.org/10.1016/j.scitotenv.2015.03.097
related_url_url: https://scholar.google.co.in/scholar?hl=en&q=An+integrated+crop+model+and+GIS+decision+support+system+for+assisting+agronomic+decision+making+under+climate+change&btnG=
related_url_type: pub
citation:   Kadiyala, M D M and Nedumaran, S and Singh, P and Chukka, S and Irshad, M A and Bantilan, M C S  (2015) An integrated crop model and GIS decision support system for assisting agronomic decision making under climate change.  Science of The Total Environment, 521–52.  pp. 123-134.  ISSN 0048-9697     
document_url: http://oar.icrisat.org/8857/1/kadiyala%20et%20al.pdf