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Original Articles

A growth model for sugar-cane based on a simple carbon balance and the CERES-Maize water balance

Pages 93-99 | Accepted 19 Feb 1991, Published online: 15 Jan 2013

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Jeferson Lobato Fernandes, Nelson Francisco Favilla Ebecken & Júlio César Dalla Mora Esquerdo. (2017) Sugarcane yield prediction in Brazil using NDVI time series and neural networks ensemble. International Journal of Remote Sensing 38:16, pages 4631-4644.
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Yifang Zhou, Mingzhang Pan, Wei Guan, Changcheng Fu & Tiecheng Su. (2023) Predicting Sugarcane Yield via the Use of an Improved Least Squares Support Vector Machine and Water Cycle Optimization Model. Agriculture 13:11, pages 2115.
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Ayuning Mawar Pringgani, Jidapa Khonghinta, Santimaitree Gonkhamdee, Patcharin Songsri & Nakorn Jongrungkl. (2023) Ground Covering Characteristics of Sugarcanes Using High-angle Images and Their Relationship with Growth Destructive Sampling. Asian Journal of Plant Sciences 22:3, pages 434-443.
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Amit Kumar Verma, Pradeep Kumar Garg, K.S. Hari Prasad & Vinay Kumar Dadhwal. (2023) Variety-specific sugarcane yield simulations and climate change impacts on sugarcane yield using DSSAT-CSM-CANEGRO model. Agricultural Water Management 275, pages 108034.
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Shun Hu, Liangsheng Shi, Yuanyuan Zha & Linglin Zeng. (2022) Regional Yield Estimation for Sugarcane Using MODIS and Weather Data: A Case Study in Florida and Louisiana, United States of America. Remote Sensing 14:16, pages 3870.
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Mintu Ram Meena, Chinnaswamy Appunu, R. Arun Kumar, R. Manimekalai, S. Vasantha, Gopalareddy Krishnappa, Ravinder Kumar, S. K. Pandey & G. Hemaprabha. (2022) Recent Advances in Sugarcane Genomics, Physiology, and Phenomics for Superior Agronomic Traits. Frontiers in Genetics 13.
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Leticia G. Gasparotto, Juliano M. Rosa, Patricio Grassini & Fábio R. Marin. (2022) Developing an operational framework to diagnose yield gaps in commercial sugarcane mills. Field Crops Research 278, pages 108433.
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Hafiz Ali Raza, Muhammad Usman Hameed, Mohammad Sohidul Islam, Naveed Ahmad Lone, Muhammad Ammar Raza & Ayman E. L. Sabagh. 2022. Global Agricultural Production: Resilience to Climate Change. Global Agricultural Production: Resilience to Climate Change 441 468 .
Pramod Pokhrel, Nithya Rajan, John Jifon, William Rooney, Russell Jessup, Jorge da Silva, Juan Enciso & Ahmed Attia. (2021) Evaluation of the DSSAT‐CANEGRO model for simulating the growth of energy cane ( Saccharum spp.), a biofuel feedstock crop . Crop Science 62:1, pages 466-478.
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Shun Hu, Liangsheng Shi, Yuanyuan Zha & Kai Huang. (2021) A new sugarcane yield model using the SiPAR model. Agronomy Journal 114:1, pages 490-507.
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M. Christina, M.-R. Jones, A. Versini, M. Mézino, L. Le Mézo, S. Auzoux, J.C. Soulié, C. Poser & E. Gérardeaux. (2021) Impact of climate variability and extreme rainfall events on sugarcane yield gap in a tropical Island. Field Crops Research 274, pages 108326.
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James Todd, Edwis Dufrene, Herman Waguespack, Collins Kimbeng, Michael Pontif & Debbie Boykin. (2021) Data mining sugarcane breeding yield data for ratoon yield prediction. Euphytica 217:4.
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Sumesh K.C.Sarawut Ninsawat & Jaturong Som-ard. (2021) Integration of RGB-based vegetation index, crop surface model and object-based image analysis approach for sugarcane yield estimation using unmanned aerial vehicle. Computers and Electronics in Agriculture 180, pages 105903.
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Jaturong Som-ard, Mohammad Dalower Hossain, Sarawut Ninsawat & Vorraveerukorn Veerachitt. (2018) Pre-harvest Sugarcane Yield Estimation Using UAV-Based RGB Images and Ground Observation. Sugar Tech 20:6, pages 645-657.
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Matthew R. Jones & Abraham Singels. (2018) Refining the Canegro model for improved simulation of climate change impacts on sugarcane. European Journal of Agronomy 100, pages 76-86.
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B.J. van Vuuren, L. Potgieter & J.H. van Vuuren. (2017) An agent‐based simulation model of Eldana saccharina  Walker . Natural Resource Modeling 31:2.
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A. K. Singh, V. Visha Kumari, Rajendra Gupta, Pushpa Singh & S. Solomon. (2017) Efficient Irrigation Water Management in Sugarcane Through Alteration of Field Application Parameters Under Subtropical India. Sugar Tech 20:1, pages 21-28.
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Linke Potgieter, Jan H. Van Vuuren & Des E. Conlong. (2016) Simulation Modelling as a Decision Support in Developing a Sterile Insect-Inherited Sterility Release Strategy for Eldana saccharina (Lepidoptera: Pyralidae) . Florida Entomologist 99:sp1, pages 13-22.
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Fábio R. Marin, Peter J. Thorburn, Daniel S.P. Nassif & Leandro G. Costa. (2015) Sugarcane model intercomparison: Structural differences and uncertainties under current and potential future climates. Environmental Modelling & Software 72, pages 372-386.
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Julien Morel, Agnès Bégué, Pierre Todoroff, Jean-François Martiné, Valentine Lebourgeois & Michel Petit. (2014) Coupling a sugarcane crop model with the remotely sensed time series of fIPAR to optimise the yield estimation. European Journal of Agronomy 61, pages 60-68.
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