2018
DOI: 10.1002/ird.2263
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Drying‐Off Periods for Irrigated Sugarcane to Maximize Sucrose Yields Under Brazilian Conditions

Abstract: The natural ripening process in sugarcane plants is influenced by several factors, including water stress. In irrigated sugarcane areas, water application is often withheld prior to harvest, a process called drying-off, which is done to increase the sucrose content and yield, and to provide suitable conditions of soil moisture for mechanical harvesting. Based on this, the objective of this study was to determine the drying-off periods for irrigated sugarcane in different Brazilian regions to maximize sucrose y… Show more

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Cited by 8 publications
(9 citation statements)
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“…Better modelling of RGP will probably reduce the uncertainties in sugarcane simulations. For example, the drying-off days to increase sucrose yield in irrigated sugarcane estimated in Brazil (Dias and Sentelhas, 2018a), South Africa (Donaldson and Bezuidenhout, 2000) and Australia (Robertson et al, 1999) with APSIM-Sugar and CA-NEGRO models would be improved, since they used relative stalk dry mass as a trigger to withhold water before harvest. Several sugarcane yield gap analyses performed with crop models in Brazil (Dias and Sentelhas, 2018b;Marin et al, 2016;Monteiro and Sentelhas, 2017) and other countries (Cheeroo-Nayamuth et al, 2000;Van den Berg and Singels, 2013;Zu et al, 2018) did not take into account the RGP in the simulations.…”
Section: Tablementioning
confidence: 99%
See 1 more Smart Citation
“…Better modelling of RGP will probably reduce the uncertainties in sugarcane simulations. For example, the drying-off days to increase sucrose yield in irrigated sugarcane estimated in Brazil (Dias and Sentelhas, 2018a), South Africa (Donaldson and Bezuidenhout, 2000) and Australia (Robertson et al, 1999) with APSIM-Sugar and CA-NEGRO models would be improved, since they used relative stalk dry mass as a trigger to withhold water before harvest. Several sugarcane yield gap analyses performed with crop models in Brazil (Dias and Sentelhas, 2018b;Marin et al, 2016;Monteiro and Sentelhas, 2017) and other countries (Cheeroo-Nayamuth et al, 2000;Van den Berg and Singels, 2013;Zu et al, 2018) did not take into account the RGP in the simulations.…”
Section: Tablementioning
confidence: 99%
“…The use of APSIM-Sugar has increased in Brazil recently. This model has been applied to evaluate the impact of a green cane trash blanket on yield (Costa et al, 2014;Marin et al, 2014;Oliveira et al, 2016), for irrigation planning (Dias and Sentelhas, 2018a), for yield gap analysis (Dias and Sentelhas, 2018b) and for uncertainties under climate change scenarios (Marin et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…Being a year‐long crop, sugarcane requires continuous supply of IW throughout its growth cycle, and thus IW management is a very important aspect (Inman‐Bamber & McGlinchey, 2003; Singandhupe et al, 2008; Carr & Knox, 2011; Cardozo, de Oliveira, & La Scala, 2018; Dias & Sentelhas, 2018). Under such circumstances, deficit irrigation is inevitable (Garg & Dadhich, 2014; Bahmani & Eghbalian, 2018; Lucas et al, 2019).…”
Section: Introductionmentioning
confidence: 99%
“…For example, the drying-off days to increase sucrose yield in irrigated sugarcane estimated in Brazil (Dias and Sentelhas, 2018a), South Africa (Donaldson and Bezuidenhout, 2000) and Australia (Robertson et al, 1999) with APSIM-Sugar and CANEGRO models would be improved, since they used relative stalk dry mass as a trigger to withhold water before harvest. Several sugarcane yield gap analyses performed with crop models in Brazil (Dias and Sentelhas, 2018b;Marin et al, 2016;Monteiro and Sentelhas, 2017) and other countries Jones and Singels, 2015;van den Berg and Singels, 2013;Zu et al, 2018) did not take into account the RGP in the simulations.…”
Section: Discussionmentioning
confidence: 99%
“…The use of APSIM-Sugar has increased in Brazil recently. This model has been applied to evaluate the impact of a green cane trash blanket on yield , for irrigation planning (Dias and Sentelhas, 2018a), for yield gap analysis (Dias and Sentelhas, 2018b) and for uncertainties under climate change scenarios .…”
Section: Thesis Overviewmentioning
confidence: 99%