Potential and Actual Sugarcane Yields in Southern Brazil as a Function of Climate Conditions and Crop Management

Monteiro, Leonardo Amaral; Sentelhas, Paulo César

doi:10.1007/s12355-013-0275-0

Cited by 48 publications

(29 citation statements)

References 34 publications

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“…O risco de deficit hídrico para a cultura da cana-de-açúcar foi baseado na relação entre as produtividades atingível (ou de sequeiro) (PA) e potencial (PP), o que gerou um coeficiente de eficiência climática (η) para cada combinação de local, tipo de solo e data de plantio (η = PA/PP) (Monteiro & Sentelhas, 2013).…”

Section: Methodsunclassified

“…Há vários modelos dedicados à simulação da produtividade da cultura da cana-de-açúcar no mundo, entre os quais, o Apsim-Sugar (Keating et al, 1999), o Auscane (Jones et al, 1989), o CSM-Canegro (Inman-Bamber, 1991Jones & Singels, 2008), o Casupro (Villegas et al, 2005), o Qcane (Liu & Kingston, 1995) e Fao-MZA (Monteiro & Sentelhas, 2013); e os modelos mais usados são o Apsim-Sugar, desenvolvido na Austrália, e o CSM-Canegro, de origem sul-africana. Para a simulação da produtividade potencial da cana-de-açúcar, o modelo CSM-Canegro considera apenas a disponibilidade de energia solar, fotoperíodo, temperatura média e, principalmente, as características fenológicas e fisiológicas da cultivar utilizada, enquanto que para a simulação da produtividade atingível, a disponibilidade de água no solo e o deficit hídrico são os principais fatores limitantes (Jones & Singels, 2008).…”

Section: Introductionunclassified

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Simulação do risco de deficit hídrico em regiões de expansão do cultivo de cana-de-açúcar no Brasil

Vianna

Sentelhas

2014

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi determinar o risco de deficit hídrico para a cultura da cana-de-açúcar em diferentes regiões brasileiras, com foco nas áreas de expansão. Para tanto, utilizou-se o modelo CSM-Canegro, para simular a produtividade da cana-planta de 12 meses, em 30 localidades. A partir dos valores estimados de produtividades potencial e atingível (produtividade sem irrigação), definiram-se as classes de risco de deficit hídrico de acordo com os níveis de eficiência climática, dada pela razão entre essas produtividades. O modelo simulou o efeito dos diferentes tipos de solo e datas de plantio sobre a produtividade, o que possibilitou caracterizar o risco de deficit hídrico associado à cultura. A região de maior risco é Petrolina, PE, enquanto as regiões de menor risco são as similares a Recife, PE, e Araguaína, TO.Termos para indexação: Saccharum, DSSAT, eficiência climática, produtividade potencial, risco climático, zoneamento climático. Simulation of the water deficit risk in sugarcane-crop expansion regions in BrazilAbstract -The objective of this work was to determine the water deficit risk for sugarcane crop in different Brazilian regions, focusing on crop-expansion regions. For that, the CSM-Canegro model was used to simulate the 12-month plant cane crop yield in 30 locations. From the estimated values for potential and attainable (without irrigation) yields, the water deficit risk classes were defined according to the climatic efficiency given by the ratio between these yields. The crop model simulated the effect of different soil types and planting dates on the yield, which made possible to characterize the water deficit risk associated to the crop. The region with the highest risk is Petrolina, state of Pernanbuco, whereas the regions with the lowest risk are those similar to Recife, state of Pernanbuco, and Araguaína, state of Tocantins.Index terms: Saccharum, DSSAT, climatic efficiency, potential yield, climatic risk, climate zoning. IntroduçãoA cana-de-açúcar (Saccharum spp.) é uma das culturas de maior importância social, econômica e ambiental, tendo atingido uma produção de 600 milhões de toneladas em 8,5 milhões de hectares no Brasil, país que é o maior produtor mundial da cultura (Veiga Filho et al., 2008). Em constante expansão, em razão da frota crescente de veículos flexfuel e do preço atrativo do açúcar, a cultura é a principal matéria prima para produção de etanol e açúcar. As maiores áreas produtoras estão nas regiões Centro-Sul e Nordeste, e o Estado de São Paulo é o maior produtor, com mais de 50% da produção do país (Companhia Nacional de Abastecimento, 2013). As áreas de expansão concentram-se na maior parte no Triângulo Mineiro e no oeste de Minas Gerais, em Goiás e no Mato Grosso do Sul (Instituto Nacional de Pesquisas Espaciais, 2013), e em algumas regiões localizadas no interior nordestino.Os principais fatores ambientais que influenciam a produtividade de cana-de-açúcar são a temperatura do ar e a disponibilidade hídrica. A temperatura afeta vários processos meta...

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Section: Methodsunclassified

Section: Introductionunclassified

Simulação do risco de deficit hídrico em regiões de expansão do cultivo de cana-de-açúcar no Brasil

Vianna

Sentelhas

2014

Pesq. agropec. bras.

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“…Waclawovsky et al (2010) found that irrigation resulted in higher yield of sugarcane, in an area with lower precipitation, lower cloudiness and higher solar radiation than most sugarcane areas of Brazil. Monteiro and Sentelhas (2014) suggest that based on model simulation, in areas where water stress is pronounced, an 83% increase in yield could be achieved through a full-irrigated system. Above and belowground yields are positively associated with soil C stock as increase in yields results in increased inputs into the soil, thus irrigation of sugarcane in dry areas would be expected to result in increases in soil C stocks compared to non-irrigated production (FOLLET, 2001).…”

Section: Discussionmentioning

confidence: 99%

“…Irrigation system can be used in areas due to the no-irrigation practices limit the crop survival, and have been pointed out with great potential increase yields (WACLAWOVSKY et al, 2010;MONTEIRO;SENTELHAS, 2014) and soil C stocks (FOLLLET, 2001;LAL et al, 1998).…”

Section: General Introductionmentioning

confidence: 99%

“…The drivers of these increases are enhanced physical protection of C within soil aggregates and higher soil organic matter (SOM) inputs (SIX et al, 2004, DENEF et al, 2008. While higher yields have been reported for irrigated sugarcane (WACLAWOVSKY et al, 2010;MONTEIRO;SENTELHAS, 2014), evaluations of soil C stock changes in irrigated sugarcane systems have not been found in the literature. C sequestration rates have, nevertheless, been estimated using plant C inputs expected under irrigation system, and an increase between 0.05 to 0.15 Mg C ha…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of soil carbon stocks in response to management changes in sugarcane production

Zani¹

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Evaluating irrigation scheme performance in a tropical environment: The Guanacaste scheme, Costa Rica*

Benavides

Mateos

García-Vila

et al. 2021

Irrigation and Drainage

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Irrigation is expanding in the tropics and could make an important contribution to the intensification of production in those tropical areas where a dry season limits productivity. A study was carried out to characterize irrigation performance and the yield gaps of a tropical irrigation scheme that covers more than 41 000 ha in northern Costa Rica. The study covered a 5-year period, from 2014 to 2018. The performance indicator relative irrigation supply (RIS) ranged between 2.48 and 3.78, values higher than those typically observed in schemes of temperate areas, but in the low range of those documented in the tropics. Despite the excess of water usage, it was found that there were farms with water shortages, especially in the canal tails during the dry season, but there was also damage caused by excess of water in the rainy season. The potential yield of the two main crops (rice and sugar cane) was determined with the AquaCrop simulation model. Actual yields were determined via a farmers' survey that also inquired about irrigation management issues. Yield gaps were determined for each of the two sectors that make up the irrigation scheme (South and West canals). The mean yield gap of rice in the South Canal sector (3.34 t ha À1 ) was smaller than that of the West Canal sector (4.84 t ha À1 ). The highest yield gap of rice occurred in the rainy season in the West canal sector. The yield gap of sugar cane in the West canal sector was significantly larger than that in the South canal sector (170 and 148 t ha À1 , respectively). A farmers' survey, combined with an examination of soil maps, revealed that poor drainage through the heavy soils that predominate in the West canal sector is one of the main causes of the large yield gap, in both rice and sugar cane. While users are relatively satisfied with the provision of irrigation water and its cost, several opportunities (e.g. water delivery, amount of fertilizer in sugar cane, water supply and irrigation system on farms) for improving scheme performance and for closing the yield gaps are discussed.

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Potential and Actual Sugarcane Yields in Southern Brazil as a Function of Climate Conditions and Crop Management

Cited by 48 publications

References 34 publications

Simulação do risco de deficit hídrico em regiões de expansão do cultivo de cana-de-açúcar no Brasil

Simulação do risco de deficit hídrico em regiões de expansão do cultivo de cana-de-açúcar no Brasil

Evaluation of soil carbon stocks in response to management changes in sugarcane production

Evaluating irrigation scheme performance in a tropical environment: The Guanacaste scheme, Costa Rica*

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