Digital soil mapping and crop modeling to define the spatially-explicit influence of soils on water-limited sugarcane yield
Author:
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Raízen Company with the Luiz de Queiroz Agricultural Studies Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11104-024-06587-w.pdf
Reference95 articles.
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3. Baigorria G, Jones J, Shin D, Mishra A, O’Brien J (2007) Assessing uncertainties in crop model simulations using daily bias-corrected regional circulation model outputs. Clim Res 34:211–222. https://doi.org/10.3354/cr00703
4. Basso B, Ritchie JT, Pierce FJ, Braga RP, Jones JW (2001) Spatial validation of crop models for precision agriculture. Agric Syst 68:97–112. https://doi.org/10.1016/S0308-521X(00)00063-9
5. Batjes N, Ribeiro E, van Oostrum A (2019) Standardised soil profile data to support global mapping and modelling (WoSIS snapshot 2019). Earth Syst Sci Data Discuss 1–46. https://doi.org/10.5194/essd-2019-164
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