Results 31 to 40 of about 22,804,860 (345)

Crop rotation modelling—A European model intercomparison

European Journal of Agronomy, 2015
Diversification of crop rotations is considered an option to increase the resilience of European crop production under climate change. So far, however, many crop simulation studies have focused on predicting single crops in separate one-year simulations. Here, we compared the capability of fifteen crop growth simulation models to predict yields in crop
Kollas, Chris, Kersebaum, Kurt Christian, Nendel, Claas, Manevski, Kiril, Müller, Christoph, Palosuo, Taru, Armas-Herrera, Cecilia, Beaudoin, Nicolas, Bindi, Marco, Charfeddine, Monia, Conradt, Tobias, Constantin, Julie, Eitzinger, Josef, Ewert, Frank, Ferrise, Roberto, Gaiser, Thomas, Garcia de Cortazar Atauri, Inaki, Giglio, Luisa, Hlavinka, Petr, Hoffmann, Holger, Hoffmann, Munir P., Launey, Marie, Manderscheid, Remy, Mary, Bruno, Mirschel, Wilfried, Moriondo, Marco, Olesen, Jørgen E., Ozturk, Isik, Pacholski, Andreas, Ripoche-Wachter, Dominique, Roggero, Pier Paolo, Roncossek, Svenja, Rotter, Reimund P., Ruget, Francoise, Sharif, Behzad, Trnka, Mirek, Ventrella, Domenico, Waha, Katharina, Wegehenkel, Martin, Weigel, Hans-Joachim, Wu, Lianhai   +40 more
openaire   +7 more sources

Improving Site-Specific Maize Yield Estimation by Integrating Satellite Multispectral Data into a Crop Model

Agronomy, 2019
Integrating remote sensing data into crop models offers opportunities for improved crop yield estimation. To compare site-specific yield estimation accuracy of a stand-alone crop model with a data-integration approach, a study was conducted in 2016−
Vijaya R. Joshi, Kelly R. Thorp, Jeffrey A. Coulter, Gregg A. Johnson, Paul M. Porter, Jeffrey S. Strock, Axel Garcia y Garcia   +6 more
doaj   +1 more source

A tailor-made crop growth model for the tomato production systems in Colombia

Agronomía Colombiana, 2017
Potential crop models simulate the plant growth under nonlimiting biophysical conditions with no other factor than the climate to which the plants are exposed to.
Carlos Ricardo Bojacá Aldana, Rodrigo Gil, Eddie Schrevens   +2 more
doaj   +1 more source

Optimizing Genetic Parameters of CSM-CERES Wheat and CSM-CERES Maize for Durum Wheat, Common Wheat, and Maize in Italy

Agronomy, 2019
The expected increase in population and the pressure posed by climate change on agricultural production require the assessment of future yield levels and the evaluation of the most suitable management options to minimize climate risk and promote ...
Valentina Mereu, Andrea Gallo, Donatella Spano   +2 more
doaj   +1 more source

Orphan Crops Browser: a bridge between model and orphan crops [PDF]

Molecular Breeding, 2016
Many important crops have received little attention by the scientific community, either because they are not considered economically important or due to their large and complex genomes. De novo transcriptome assembly, using next-generation sequencing data, is an attractive option for the study of these orphan crops.
Kamei, Claire Lessa Alvim, Severing, E.I., Dechesne, Annemarie, Furrer, Heleen, Dolstra, Oene, Trindade, L.M.   +5 more
openaire   +3 more sources

CROP SIMULATION MODELS FOR COTTON GROWTH AND DEVELOPMENT: STRENGTHS AND WEAKNESSES [PDF]

Big Data in Agriculture
Cotton, a major global cash crop, faces diverse challenges due to changing environmental conditions and evolving agricultural practices. Crop simulation models have emerged as powerful tools for understanding and predicting cotton growth and development.
Blessing Masasi , Jonathan Masasi
doaj   +1 more source

Crop modeling: a tool for agricultural research

MOJ Food Processing & Technology, 2018
The Earth’s natural resources are finite, whereas the amount of people that the land ought to support continues to grow quickly. This creates a significant downside for agricultural production and productivity ought to be hyperbolic to satisfy quickly ...
Zaman A, S. Maitra
semanticscholar   +1 more source

Adaptation of the SIMPLE Model to Oilseed Flax (Linum usitatissimum L.) for Arid and Semi-Arid Environments

Agronomy, 2022
Oilseed flax (Linum usitatissimum L.) is an important oil crop, and the SIMPLE model is a very effective tool to simulate crop production. In this study, to adapt the SIMPLE model for the overall improvement of flax production and yield, three promising ...
Yue Li, Gerrit Hoogenboom, Senthold Asseng, Jun-Yi Niu, Ling Wu, Liang-He Kang   +5 more
doaj   +1 more source

Sugarcane Yield Forecast in Ivory Coast (West Africa) Based on Weather and Vegetation Index Data

Atmosphere, 2021
One way to use climate services in the case of sugarcane is to develop models that forecast yields to help the sector to be better prepared against climate risks.
Edouard Pignède, Philippe Roudier, Arona Diedhiou, Vami Hermann N’Guessan Bi, Arsène T. Kobea, Daouda Konaté, Crépin Bi Péné   +6 more
doaj   +1 more source

Current knowledge and future research opportunities for modeling annual crop mixtures. A review [PDF]

Agronomy for Sustainable Development, 2019
Growing mixtures of annual arable crop species or genotypes is a promising way to improve crop production without increasing agricultural inputs. To design optimal crop mixtures, choices of species, genotypes, sowing proportion, plant arrangement, and ...
N. Gaudio, A. Escobar-Gutiérrez, P. Casadebaig, J. Evers, F. Gérard, G. Louarn, N. Colbach, Sebastian Munz, M. Launay, Hélène Marrou, R. Barillot, P. Hinsinger, J. Bergez, D. Combes, J. Durand, Ela Frak, L. Pagès, C. Pradal, S. Saint-Jean, W. van der Werf, E. Justes   +20 more
semanticscholar   +1 more source