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

• Published in: Agronomy for sustainable development Vol. 39; no. 2; p. 20
• Main Authors: Gaudio, Noémie, Escobar-Gutiérrez, Abraham J., Casadebaig, Pierre, Evers, Jochem B., Gérard, Frédéric, Louarn, Gaëtan, Colbach, Nathalie, Munz, Sebastian, Launay, Marie, Marrou, Hélène, Barillot, Romain, Hinsinger, Philippe, Bergez, Jacques-Eric, Combes, Didier, Durand, Jean-Louis, Frak, Ela, Pagès, Loïc, Pradal, Christophe, Saint-Jean, Sébastien, Van Der Werf, Wopke, Justes, Eric
• Format: Journal Article
• Language: English
• Published: Paris Springer Paris 01.04.2019; Springer Nature B.V; Springer Verlag/EDP Sciences/INRA
• Subjects: Agricultural land; Agricultural practices; Agriculture; Agronomy; Annual crop mixtures; annuals; Arable land; Biomedical and Life Sciences; Complementarity; Computer Science; Crop models; Crop production; crop rotation; Cropping systems; Crops; Ecological effects; field experimentation; Field tests; Functional–structural plant models; genotype; Genotypes; Genotypes mixtures; Heterogeneity; Individual-based models; Intercrops; Life Sciences; Model users; Modeling and Simulation; Modelling; Review Article; simulation models; Soil Science & Conservation; Sole cropping; sowing date; Sustainable Development; Intercrops; Individual-based models; Model users; Annual crop mixtures; Crop models; Genotypes mixtures; Functional–structural plant models; intercrops; crop models; annual crop mixtures; individual-based models; genotypes mixtures; functional-structural plant models; model users

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 sowing date need to be made but field experiment...