Calibrating APSIM for forage sorghum using remote sensing and field data under sub-optimal growth conditions

Facundo N. Della Nave, Jonathan J. Ojeda, J. Gonzalo N. Irisarri, Keith Pembleton, Mariano Oyarzabal and Martín Oesterheld

Agricultural Systems, 2022, vol. 201, issue C

Abstract: Mechanistic sorghum models have been mostly used to estimate sorghum yield for grain sorghum for a range of genotype, management, and environmental conditions. There is a lack of model testing for crop growth and development responses for forage genotypes and information for phenological parameterization under sub-optimal water and nitrogen stress conditions in forage systems.

Keywords: Sorghum bicolor (L.) Moench; Crop modelling; APSIM next generation; Inter-annual biomass variability; Sentinel-2; Remote sensing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:201:y:2022:i:c:s0308521x22000956

DOI: 10.1016/j.agsy.2022.103459

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