Results 181 to 190 of about 5,796 (199)

Wheat Yield Modelling using Infocrop and DSSAT Crop Simulation Models

Indian Journal Of Agricultural Research, 2022
Background: Wheat is an important crop of India That is grown in the winter season (October to April). A field study was conducted for nine plots having a dimension of 3 × 2 meter and different nutrient was applied to test the biomass yield. The objectives are to describe (a): To conduct field experiments under controlled conditions and vary the dosage
Anuj Kumar Dwivedi, Hitesh Upreti, C.S.P. Ojha   +2 more
openaire   +1 more source

Development of TREEGRO: A Fruit Tree Model for DSSAT

2003, Las Vegas, NV July 27-30, 2003, 2003
Modeling crop growth and production involves the estimation of state variables such as leaf, stem, root and fruit biomass over time. The objective was to determine if CROPGRO, a model for row crops could be used to develop TREEGRO to simulate annual citrus production.
null K.T. Morgan, null J.W. Jones, null J.M.S. Scholberg, null K.J. Boote   +3 more
openaire   +1 more source

Optimize the irrigation and fertilizer schedules by combining DSSAT and genetic algorithm

Environmental Science and Pollution Research, 2022
As one of the main food crops in the world, the yield of maize directly affects the food security of the world. The optimization of irrigation and fertilizer schedules is also one of the hot issues in the world. However, the traditional optimization methods are mainly based on field experiment or crop model.
Yu, Bai, Wenjun, Yue, Chunmei, Ding
openaire   +2 more sources

Use of DSSAT to model cropping systems.

CABI Reviews, 2009
Abstract Crop simulation models have great significance in transferring new technologies to the farmers and decision-makers and Decision Support Systems for Agrotechnology Transfer (DSSAT) have been one of the most important of them. Ten years of endeavour in developing DSSAT by scientists of the International Benchmark Sites Network for ...
openaire   +1 more source

Modeling growth, development and yield of Sugarbeet using DSSAT

Agricultural Systems, 2019
Abstract Sugarbeet (Beta vulgaris) is considered as one of the most viable feedstock alternatives to maize for biofuel production since herbicide resistant sugarbeet was deregulated by the United States Department of Agriculture in 2012. So far, only a few sugarbeet simulation models have been developed and these models are limited to application for
Mohammad J. Anar, Zhulu Lin, Gerrit Hoogenboom, Vakhtang Shelia, William D. Batchelor, Jasper M. Teboh, Michael Ostlie, Blaine G. Schatz, Mohamed Khan   +8 more
openaire   +1 more source

EasyGrapher: software for graphical and statistical validation of DSSAT outputs

Computers and Electronics in Agriculture, 2004
EasyGrapher is a graphical display and statistical validation program designed for the decision support system for agro-technology transfer (DSSAT) suite of models. EasyGrapher can expedite validation of DSSAT output, which normally requires considerable time and effort to export output data into external statistical packages. It allows users to create
J.Y. Yang, E.C. (Ted) Huffman
openaire   +1 more source

Assessment of climate change impact on barley using the DSSAT model

2023
<p>The IPCC Sixth Assessment Report (AR6) reported that global surface temperature continues to increase. Also, recent climate change is widespread and accelerating (IPCC, 2021). Thus, the impact of climate changes we are experiencing will increase in the future.
Eunjeong Lee, Eunseon Lee, Hyun Chan Sung, Seongwoo Jeon   +3 more
openaire   +1 more source

Estimation of groundwater use by crop production simulated by DSSAT‐wheat and DSSAT‐maize models in the piedmont region of the North China Plain

Hydrological Processes, 2006
AbstractSustainable water use is in serious crisis in the piedmont region of the Taihang Mountains in the North China Plain, owing to rapid groundwater drawdown. Estimating the water requirement for agriculture, the biggest user of groundwater, will be helpful in understanding groundwater decline. Through the use of DSSAT‐3·5 wheat and maize models, we
Yonghui Yang, Masataka Watanabe, Xiying Zhang, Xiaohua Hao, Jiqun Zhang   +4 more
openaire   +1 more source

Estimating crop genetic parameters for DSSAT with modified PEST software

European Journal of Agronomy, 2020
Abstract Quickly determining accurate crop genetic parameters for crop model applications can be difficult. In this study, we coupled the independent automatic parameter optimization tool PEST (Parameter ESTimation) with the crop growth model of DSSAT (Decision Support System for Agrotechnology Transfer) using the R programming language.
Haijiao Ma, Robert W. Malone, Tengcong Jiang, Ning Yao, Shang Chen, Libing Song, Hao Feng, Qiang Yu, Jianqiang He   +8 more
openaire   +1 more source

Evaluation of Irrigation Strategies with the DSSAT Cropping System Model

ASABE/CSBE North Central Intersectional Meeting, 2007
Water is becoming an increasingly valuable commodity with shortages and water rationing more commonplace. Since irrigation is the largest consumptive use of water in South Dakota, accounting for over 70% of the water withdrawals, irrigation water management is critical to make the best use of the water available.
Heeren, Derek M., Warner, Hal D., Trooien, Todd P.   +2 more
openaire   +1 more source