Results 41 to 50 of about 5,112 (213)

Development and critical evaluation of a generic 2-D agro-hydrological model (SMCR_N) for the responses of crop yield and nitrogen composition to nitrogen fertilizer [PDF]

, 2009
Models play an important role in optimizing fertilizer use in agriculture to maintain sustainable crop production and to minimize the risk to the environment.
Greenwood, Duncan J., Rahn, C. (Clive), Thorup-Kristensen, Kristian, Yang, D. (Dejun), Zhang, Kefeng   +4 more
core   +1 more source

Optimizing Parameters of CSM-CERES-Maize Model to Improve Simulation Performance of Maize Growth and Nitrogen Uptake in Northeast China

Journal of Integrative Agriculture, 2012
Crop models can be useful tools for optimizing fertilizer management for a targeted crop yield while minimizing nutrient losses. In this paper, the parameters of the decision support system for agrotechnology transfer (DSSAT)-CERES-Maize were optimized ...
Hai-long LIU, Jing-yi YANG, Ping HE, You-lu BAI, Ji-yun JIN, Craig F Drury, Ye-ping ZHU, Xue-ming YANG, Wen-juan LI, Jia-gui XIE, Jing-min YANG, Gerrit Hoogenboom   +11 more
doaj   +1 more source

Crop and soil organic matter simulation models – A brief review of their basic features and application in sub-Saharan Africa [PDF]

, 2020
Over the past decades, numerous crop-soil models have been developed to represent dynamic processes in cropland systems, including soil organic carbon (SOC) dynamics (Campbell and Paustian, 2015).
Nyawira, Sylvia Sarah
core  

Calibration and validation of DSSAT model for kharif groundnut in north-Saurashtra agro-climatic zone of Gujarat

Journal of Agrometeorology, 2013
The DSSAT model was calibrated and validated for kharif groundnut (cv. GG-2 and GG-20) using past experimental data (2007 to 2009) of Dry Farming Research station, J.A.U., Targhadia, Rajkot (200 18È N 700 56È E), Gujarat with two dates of sowing (D1 ...
P. K. PARMAR, H. R. PATEL, S. B. YADAV, VYAS PANDEY   +3 more
doaj   +1 more source

Integrated use of regional weather forecasting and crop modeling for water stress assessment on rice yield

Scientific Reports, 2022
This study evaluated the effects of water stress on rice yield over Punjab and Haryana across North India by integrating Weather Research Forecasting (WRF) and Decision Support System for Agrotechnology Transfer (DSSAT) models.
T. Rajasivaranjan, Aavudai Anandhi, N. R. Patel, Masoud Irannezhad, C. V. Srinivas, Kumar Veluswamy, U. Surendran, P. Raja   +7 more
doaj   +1 more source

Review on Decision Support System for Agrotechnology Transfer (DSSAT) Model

International Journal of Intelligent Information Systems, 2021
Traditional agronomic experiments were conducted at a specific location in time and space, resulting in long, seasonal, time-consuming, and expensive experiments. An international team of scientists has developed a decision support system for the transfer of agrotechnology, which has been used by researchers from around and the world for 15 years. This
openaire   +1 more source

Impact of climate change using CRAFT: a case study for West Africa [PDF]

, 2020
The CGIAR research program on Climate Change, Agriculture and Food Security Program’s (CCAFS) Regional Agricultural Forecasting Toolbox (CRAFT) is a framework for multi-scale spatial gridded simulations using an ensemble of crop models.
Faye, Babacar, Hoogenboom, Gerrit, Shelia, Vakhtang, Weber, Heidi   +3 more
core  

Estimation of Cotton LAI and Yield Through Assimilation of the DSSAT Model and Unmanned Aerial System Images

Drones
Cotton (Gossypium hirsutum L.) is a primary global commercial crop, and accurate monitoring of its growth and yield prediction are essential for optimizing water management.
Hui Peng, Esirige, Haibin Gu, Ruhan Gao, Yueyang Zhou, Xinna Men, Ze Wang   +6 more
doaj   +1 more source

Using the DSSAT model to simulate wheat yield and soil organic carbon under a wheat-maize cropping system in the North China Plain

Journal of Integrative Agriculture, 2017
: Crop modelling can facilitate researchers' ability to understand and interpret experimental results, and to diagnose yield gaps. In this paper, the Decision Support Systems for Agrotechnology Transfer 4.6 (DSSAT) model together with the CENTURT soil ...
Hai-long LIU, Hong-bin LIU, Qiu-liang LEI, Li-mei ZHAI, Hong-yuan WANG, Ji-zong ZHANG, Ye-ping ZHU, Sheng-ping LIU, Shi-juan LI, Jing-suo ZHANG, Xiao-xia LIU   +10 more
doaj   +1 more source

CSM‐IXIM: A New Maize Simulation Model for DSSAT Version 4.5

Agronomy Journal, 2011
The CERES‐Maize model is the most widely used maize (Zea mays L.) model and is a recognized reference for comparing new developments in maize growth, development, and yield simulation. The objective of this study was to present and evaluate CSM‐IXIM, a new maize simulation model for DSSAT version 4.5.
Lizaso Oñate, Jon Iñaqui, Boote, Kenneth J., Jones, J.W., Porter, C.H., Echarte, L., Westgate, M. E., Sonohat, G.   +6 more
openaire   +2 more sources