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http://krishi.icar.gov.in/jspui/handle/123456789/34445
Title: | Evaluating InfoCrop model for growth, development and yield of spring wheat at farmers' field in semi-arid environment |
Other Titles: | Not Available |
Authors: | Rajkumar Dhakar Vinay Kumar Sehgal Debasish Chakraborty Joydeep Mukherjee Soora Naresh Kumar |
ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
Author's Affiliated institute: | ICAR::Indian Agricultural Research Institute |
Published/ Complete Date: | 2019-09 |
Project Code: | National Innovations on Climate Resilient Agriculture (NICRA) project |
Keywords: | Simulation Model Wheat Leaf area index Yield Validation |
Publisher: | Association of Agrometeorologists |
Citation: | Dhakar, Rajkumar; Sehgal, Vinay Kumar; Chakraborty, Debasish; Mukherjee, Joydeep; Kumar, S Naresh. (2019). Evaluating InfoCrop model for growth, development and yield of spring wheat at farmers' field in semi-arid environment. Journal of Agrometeorology 21(3): 254-261. |
Series/Report no.: | Not Available; |
Abstract/Description: | Evaluation of crop simulation model for growth and development of crops at farmers field is uncommon, as large variability exists in management practices at farmers fields. Present study was attempted to evaluate the suitability of InfoCrop v2.1 model for prediction of growth, development and yield of wheat crop at farmers' elds using two years data i.e. 2015-16 & 2016-17. A total of 42 farmers' elds were selected in Pataudi block of Haryana state. The large variability in wheat sowing date (1-Nov to 25-Dec), seed rate (87 to 150 kgha ), N application rate (70 to 195 kgha ) and number of irrigations (5-8) were observed in farmers' eld. InfoCrop model could able to predict well days to anthesis and physiological maturity within an acceptable error of 5% (RMSE~3 days). Measured leaf area index (LAI) matched well with simulated LAI (RMSE ~ 0.5). The agreement between observed and model simulated wheat grain yield was found to be satisfactory (nRMSE ~ 6-8%). We conclude that InfoCrop-wheat model satisfactorily simulate the growth, development and yield of wheat crop under varied management practices at farmers' elds, and hence can be applied for agricultural applications for farmers. |
Description: | Not Available |
ISSN: | Not Available |
Type(s) of content: | Research Paper |
Sponsors: | ICAR-National Innovations on Climate Resilient Agriculture (NICRA) project IARI In-house Project [IARI:NRM:14:(04)]. |
Language: | English |
Name of Journal: | Journal of Agrometeorology |
NAAS Rating: | 6.47 |
Volume No.: | 21 (3) |
Page Number: | 254-261 |
Name of the Division/Regional Station: | Division of Agricultural Physics |
Source, DOI or any other URL: | http://agrimetassociation.org/journal-view/evaluating-infocrop-model-for-growth,-development-and-yield-of-spring-wheat-at-farmers-field-in-semi-arid-environment |
URI: | http://krishi.icar.gov.in/jspui/handle/123456789/34445 |
Appears in Collections: | CS-IARI-Publication |
Files in This Item:
File | Description | Size | Format | |
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Rajkumar_JAM_2019.pdf | 2.38 MB | Adobe PDF | View/Open |
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