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Journal ArticleDOI

The DSSAT cropping system model

TLDR
The benefits of the new, re-designed DSSAT-CSM will provide considerable opportunities to its developers and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at field, farm, and higher levels.
About
This article is published in European Journal of Agronomy.The article was published on 2003-01-01. It has received 3339 citations till now. The article focuses on the topics: DSSAT & Crop simulation model.

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Citations
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Journal ArticleDOI

Rising Temperatures Reduce Global Wheat Production

Senthold Asseng, +59 more
TL;DR: The authors systematically tested 30 different wheat crop models of the Agricultural Model Intercomparison and Improvement Project against field experiments in which growing season mean temperatures ranged from 15 degrees C to 32 degrees C, including experiments with artificial heating.
Journal ArticleDOI

AquaCrop-The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles

TL;DR: The FAO crop model AquaCrop as mentioned in this paper is a water-driven growth engine, in which transpiration is calculated first and translated into biomass using a conservative, crop-specific parameter: the biomass water productivity, normalized for atmospheric evaporative demand and air CO 2 concentration.
Book ChapterDOI

United nations framework convention on climate change (unfccc)

TL;DR: The Paris Agreement is widely recognized as the most significant environmental treaty ever adopted, with strong positive implications on development, international cooperation and, of course, for the climate as discussed by the authors, and the ambition is to hold the increase in the global average temperature to well below 2oC above pre-industrial levels and pursue efforts to limit the temperature increase to 1.5oC.
Journal ArticleDOI

Crop yield gaps: their importance, magnitudes, and causes.

TL;DR: In this paper, the authors identified several priorities for future research to reduce the yield gap between average and potential yields in irrigated agriculture, and proposed tools to address the uncertainty in growing season weather.
References
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Book

Crop evapotranspiration : guidelines for computing crop water requirements

TL;DR: In this paper, an updated procedure for calculating reference and crop evapotranspiration from meteorological data and crop coefficients is presented, based on the FAO Penman-Monteith method.
Journal ArticleDOI

On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters

TL;DR: In this article, the large-scale parameterization of the surface fluxes of sensible and latent heat is properly expressed in terms of energetic considerations over land while formulas of the bulk aerodynamic type are most suitahle over the sea.
Journal ArticleDOI

Model for predicting evaporation from a row crop with incomplete cover

TL;DR: In this article, a model for calculating the daily evaporation rate from a crop surface was presented for a row crop canopy situation in which the soil water supply to the plant roots was not limited and the crop has not come into an advanced stage of maturation or senescence.

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as mentioned in this paper, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Book

Guidelines for predicting crop water requirements

J. Doorenbos
TL;DR: Guidelines for predicting crop water requirements as discussed by the authors, which are based on guidelines for predicting water requirements, are used to predict water requirements in the field of crop water forecasting, and they can be found in Table 1.
Related Papers (5)

Uncertainty in Simulating Wheat Yields Under Climate Change

Senthold Asseng, +53 more