New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments
Dias, Henrique Boriolo, Inman-Bamber, Geoff, Bermejo, Rodrigo, Sentelhas, Paulo Cesar, and Christodoulou, Diomedes (2019) New APSIM-Sugar features and parameters required to account for high sugarcane yields in tropical environments. Field Crops Research, 235. pp. 38-53.
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Abstract
Sugarcane in field plot experiments in tropical Brazil (Guadalupe, Piaui State, 6.6 degrees S), produced very high yields under non-limiting water and nutrients. Mean stalk dry mass at 8, 11.5 and 15 months were 40, 51 and 70 t/ha respectively for six varieties and six planting dates. These yields were explained by high but not excessive temperatures allowing the canopy to close after 73 days on average. Substantial changes were required to enable the APSIM-Sugar model to simulate canopy and yield gain processes in Brazilian genotypes for the purpose of optimising variety, planting and harvest date options. A new modelling feature was proposed to deal with the observed growth slowdown when crop was about 7-8 months old and dry mass yields higher than 40 t/ha. All new parameters and features were validated with independent experiments as well as with the original dataset used for developing APSIM-Sugar. Future studies involving irrigation, yield gap analysis and climate change in environments where high yields are expected, should consider these modifications.
Item ID: | 58138 |
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Item Type: | Article (Research - C1) |
ISSN: | 1872-6852 |
Keywords: | Saccharwn spp., Crop modelling, Photosynthetically active radiation, Sugarcane yield potential, Radiation use efficiency, Reduced growth phenomenon |
Copyright Information: | © 2019 Elsevier B.V. All rights reserved |
Funders: | São Paulo Research Foundation (FAPESP), Brazilian Research and Development Council (CNPq) |
Projects and Grants: | FAPESP (grant#2017/24424-5), FAPESP (grant#2016/11170-2), CNPq Fellowship (Level 1A) |
Date Deposited: | 24 Apr 2019 07:36 |
FoR Codes: | 49 MATHEMATICAL SCIENCES > 4905 Statistics > 490501 Applied statistics @ 50% 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300404 Crop and pasture biochemistry and physiology @ 50% |
SEO Codes: | 82 PLANT PRODUCTION AND PLANT PRIMARY PRODUCTS > 8203 Industrial Crops > 820304 Sugar @ 100% |
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