Using Crop Models for Management: Impact of Weather Characteristics on Irrigation Decisions in Soybeans

1983 ◽  
Vol 26 (6) ◽  
pp. 1808-1814 ◽  
Author(s):  
D. P. Swaney ◽  
J. W. Mishoe ◽  
J. W. Jones ◽  
W. G. Boggess
Keyword(s):  
Crop Models ◽  
Weather Characteristics

scholarly journals Are crop and detailed physiological models equally "mechanistic" for predicting the genetic variability of whole plant behaviour? - the nexus between mechanisms and adaptive strategies

2020 ◽  
Author(s):  
F Tardieu ◽  
I S C Granato ◽  
E J Van Oosterom ◽  
B Parent ◽  
G L Hammer
Keyword(s):  
Genetic Variability ◽  
Growth And Yield ◽  
Specific Response ◽  
Response Curves ◽  
Evaporative Demand ◽  
Physiological Mechanisms ◽  
Physiological Models ◽  
Crop Models ◽  
Whole Plant ◽  
Developmental Traits

Abstract Tailoring genotypes for the variety of environmental scenarios associated with climate change requires modelling of the genetic variability of adaptation mechanisms to environmental cues. A large number of physiological mechanisms have been described and modelled, e.g. at transcript, metabolic or hormonal levels, but they remain to be assembled into whole-plant and canopy models. A 'bottom-up' approach combining physiological mechanisms leads to a near-infinite number of combinations and to an unmanageable number of parameters, so more parsimonious approaches are required. We propose that natural selection has constrained the large diversity of mechanisms into consistent strategies, in such a way that not all combinations of mechanisms are possible. These constraints, and resulting feedbacks, result in integrative 'metamechanisms', e.g. response curves of traits to environmental conditions, measurable via high throughput phenotyping, and resulting in robust and stable equations with heritable genotype-dependent parameters. Examples are provided for the responses of developmental traits to temperature, for the response of growth and yield to water deficit and evaporative demand, and for the response of tillering to light and temperature. In these examples, it was inoperative to combine upstream mechanisms into whole-plant mechanisms, whereas the evolutionary constraints on the combinations of physiological mechanisms renders possible the use of genotype-specific response curves at plant or canopy levels. These can be used for a new generation of crop models capable of simulating the behavior of thousands of genotypes. This has significant consequences for plant modelling and its use in genetics and breeding.

scholarly journals Yield Response of an Ensemble of Potato Crop Models to Elevated CO2 in Continental Europe

2021 ◽  
Vol 126 ◽  
pp. 126265
Author(s):  
David H. Fleisher ◽  
Bruno Condori ◽  
Carolina Barreda ◽  
Herman Berguijs ◽  
Marco Bindi ◽  
...  
Keyword(s):  
Elevated Co2 ◽  
Potato Crop ◽  
Yield Response ◽  
Crop Models

scholarly journals Identifying Controlling Factors of Bioaccumulation of Selected Metal(loid)s in Various Soil–Cereal Crop Systems within Cultivated Fluvisols

Agronomy ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1180
Author(s):  
Jan Skála ◽  
Radim Vácha ◽  
Jarmila Čechmánková
Keyword(s):  
Plant Uptake ◽  
Ph Value ◽  
Soil Parameters ◽  
Significant Variable ◽  
Cd Uptake ◽  
Crop Models ◽  
Successful Model ◽  
Model Reliability ◽  
Contamination Levels ◽  
Single Extractions

The paired Fluvisol and cereal samples in both the field screening and controlled experiments are reported to elucidate the soil–crop relationship for As, Cd, and Pb in relation to changing contamination levels. Significant varietal differences in plant uptake were observed for crop type (barley, triticale) and the harvested part of the crop (oat shoots and grain). When parametrizing the stepwise regression models, the inclusion of soil properties often improved the performance of soil–crop models but diverse critical soil parameters were retained in the model for individual metal(loid)s. The pH value was often a statistically significant variable for Cd uptake. For As and Pb, the more successful model fit was achieved using the indicators of quantity or quality of soil organic matter, but always with lower inherent model reliability compared to Cd. Further, a single correlation analysis was used to investigate the relationship between extractable metal concentrations in soil solution and their crop accumulation. For Cd, there were strong intercorrelations among single extractions, the NH4NO3 extraction stood out with perfect correlation with plant uptake in both experiments. For As and Pb, the CaCl2 and Na2EDTA solutions outperformed other single extractions and were the better choice for the assessment of depositional fluvial substrates.

The chaos in calibrating crop models: lessons learned from a multi-model calibration exercise

2021 ◽  
pp. 105206
Author(s):  
Daniel Wallach ◽  
Taru Palosuo ◽  
Peter Thorburn ◽  
Zvi Hochman ◽  
Emmanuelle Gourdain ◽  
...  
Keyword(s):  
Model Calibration ◽  
Lessons Learned ◽  
Crop Models

Field Crop Response to Water Deficit Stress: Assessment Through Crop Models

2018 ◽  
pp. 287-315
Author(s):  
Rajkumar Dhakar ◽  
M. A. Sarath Chandran ◽  
Shivani Nagar ◽  
V. Visha Kumari ◽  
A. V. M. Subbarao ◽  
...  
Keyword(s):  
Water Deficit ◽  
Water Deficit Stress ◽  
Field Crop ◽  
Crop Response ◽  
Stress Assessment ◽  
Crop Models ◽  
Response To Water
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