Sugarcane crop efficiency in two growing seasons in São Paulo State, Brazil

Marin, Fábio Ricardo; Assad, Maria Leonor Lopes; Assad, Eduardo Delgado; Vian, Carlos Eduardo de Freitas; Santos, Maria Cecília Gorita dos

doi:10.1590/s0100-204x2008001100002

Cited by 37 publications

(47 citation statements)

References 15 publications

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“…As observed by Marin et al (2008), solar radiation had the highest determination coefficient variable (16%), which may be due to the fact that most of the sugarcane growing areas have occupied some of the best agricultural areas of São Paulo, in which yield-limiting factors have less influence. Therefore, the crop was able to respond to a potential yield-related variable, such as solar radiation (Bowen & Baethgen, 2002).…”

Section: Resultsmentioning

confidence: 84%

“…From 1990From /1991From to 1995From /1996, SYE oscillated around 0.45, as a result of the tough Brazilian macroeconomic conjuncture and of the unfavorable conditions for sugar and ethanol commercialization (Goldemberg & Lucon, 2007). Marin et al (2008), using the Doorembos & Kassan (1994) model, found values ranging from 0.38 to 0.43.…”

Section: Resultsmentioning

confidence: 99%

“…The concept of sugarcane yield efficiency (Marin et al, 2008) can be used as a quantitative index to: evaluate the development of farming systems in time and space, allowing the comparison of regions in relation to soil Pesq. agropec.…”

Section: Introductionmentioning

confidence: 99%

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Spatio-temporal variability of sugarcane yield efficiency in the state of São Paulo, Brazil

Marin

Carvalho

2012

Pesq. agropec. bras.

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-The objective of this work was to assess the spatial and temporal variability of sugarcane yield efficiency and yield gap in the state of São Paulo, Brazil, throughout 16 growing seasons, considering climate and soil as main effects, and socioeconomic factors as complementary. An empirical model was used to assess potential and attainable yields, using climate data series from 37 weather stations. Soil effects were analyzed using the concept of production environments associated with a soil aptitude map for sugarcane. Crop yield efficiency increased from 0.42 to 0.58 in the analyzed period (1990/1991 to 2005/2006 crop seasons), and yield gap consequently decreased from 58 to 42%. Climatic factors explained 43% of the variability of sugarcane yield efficiency, in the following order of importance: solar radiation, water deficit, maximum air temperature, precipitation, and minimum air temperature. Soil explained 15% of the variability, considering the average of all seasons. There was a change in the correlation pattern of climate and soil with yield efficiency after the 2001/2002 season, probably due to the crop expansion to the west of the state during the subsequent period. Socioeconomic, biotic and crop management factors together explain 42% of sugarcane yield efficiency in the state of São Paulo.Index terms: actual yield, attainable yield, biofuel, socioeconomy, yield gap. Variabilidade espaço-temporal da eficiência produtiva da cana-de-açúcar no Estado de São PauloResumo -O objetivo deste trabalho foi analisar a variabilidade espacial e temporal da eficiência produtiva da cana-de-açúcar e o deficit de produtividade no Estado de São Paulo, ao longo de 16 safras agrícolas, tendo-se considerado o clima e o solo como efeitos principais e os aspectos socioeconômicos como efeitos complementares. Utilizou-se um modelo empírico para avaliar as produtividades potencial e atingível, tendose utilizado séries de dados climáticos de 37 estações meteorológicas. Os efeitos do solo foram analisados por meio do conceito de ambientes de produção associado a um mapa de aptidão dos solos para a cana-de-açúcar. A eficiência da produtividade aumentou de 0,42 a 0,58 no período avaliado (safras de 1990/1991 a 2005/2006), com consequente redução do deficit de produtividade de 58 para 42%. Os fatores climáticos explicaram 43% da variabilidade da eficiência produtiva da cana-de-açúcar, na seguinte ordem de importância: radiação solar, deficiência hídrica, temperatura máxima do ar, precipitação e temperatura mínima do ar. O solo explicou 15% da variabilidade, na média de todas as safras. Houve alteração no padrão de correlação do clima e do solo com a eficiência produtiva a partir da safra 2001/2002, provavelmente por causa da expansão da cultura para a região oeste do Estado, no período subsequente. Fatores socioeconômicos, bióticos e de manejo da cultura explicam, em conjunto, 42% da variabilidade na eficiência produtiva da cana-de-açucar, no Estado de São Paulo.Termos para indexação: produtividade atual, produtividade at...

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Section: Resultsmentioning

confidence: 84%

Section: Resultsmentioning

confidence: 99%

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Spatio-temporal variability of sugarcane yield efficiency in the state of São Paulo, Brazil

Marin

Carvalho

2012

Pesq. agropec. bras.

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“…; where yield data (I.B.G.E., 2013) were paired with cumulative PAR derived from daily average solar irradiance (18.6 MJ m À2 day À1 ) (Marin et al, 2008), assuming PAR is 50% of total irradiance). Residuals of the relationships between NEE and PAR indicated that NEE was inhibited by high VPD and temperature, however, these relationships were not detectable during peak photosynthetic phases.…”

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confidence: 99%

Offsetting high water demands with high productivity: Sorghum as a biofuel crop in a high irradiance arid ecosystem

2014

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High irradiance arid environments are promising, yet understudied, areas for biofuel production. We investigated the productivity and environmental trade-offs of growing sorghum (Sorghum bicolor) as a biofuel feedstock in the low deserts of California (CA). Using a 5.3 ha experimental field in the Imperial Valley, CA, we measured aboveground biomass production and net ecosystem exchange of CO 2 ). The BWR of sorghum surpassed that of many C4 biofuel candidate crops in the United States, as well as that of alfalfa which is currently widely grown in the Imperial Valley. Sorghum also outperformed many US biofuel crops in terms of radiation use efficiency (RUE), achieving 1.5 g dry biomass MJ À1. We found no evidence of saturation of NEE at high levels of photosynthetically active radiation (PAR) (up to 2250 lmol m À2 s À1 ). In addition, we found no evidence that NEE was inhibited by either high VPD or air temperature during peak photosynthetic phases. The combination of high productivity, high BWR, and high RUE suggests that sorghum is well adapted to this extreme environment. The biomass production rates and efficiency metrics spanning three growing periods provide fundamental data for future Life Cycle Assessments (LCA), which are needed to assess the sustainability of this sorghum biofuel feedstock system.

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“…The best estimates of sugarcane productivity are obtained when this model is adjusted and calibrated for the local climatic conditions (Barbieri & Silva, 2008;Oliveira et al, 2012). Other models have also been described to estimate sugarcane productivity for local conditions (Scarpari, 2002;Marin et al, 2008;Cuadra et al, 2012), emphasizing the model proposed by Scarpari (2002), which because working with the variables rainfall and air temperature is a good alternative to predict sugarcane productivity in the climatic conditions of Cerrado in the Center-West of Brazil.…”

Section: Introductionmentioning

confidence: 99%

Sugarcane yield estimation for climatic conditions in the state of Goiás

Caetano

Casaroli

2017

Rev. Ceres

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RESUMOModels that estimate potential and depleted crop yield according to climatic variable enable the crop planning and production quantification for a specific region. Therefore, the objective of this study was to compare methods to sugarcane yield estimates grown in the climatic condition in the central part of Goiás, Brazil. So, Agroecological Zone Method (ZAE) and the model proposed by Scarpari (S) were correlated with real data of sugarcane yield from an experimental area, located in Santo Antônio de Goiás, state of Goiás, Brazil. Data yield refer to the crops of 2008/2009 (sugarcane plant), 2009/2010, 2010/2011 and 2011/2012 (ratoon sugarcane). Yield rates were calculated as a function of atmospheric water demand and water deficit in the area under study. Real and estimated yields were adjusted in function of productivity loss due to cutting stage of sugarcane, using an average reduction in productivity observed in the experimental area and the average reduction in the state of Goiás. The results indicated that the ZAE method, considering the water deficit, displayed good yield estimates for cane-plant (d > 0.90). Water deficit decreased the yield rates (r = -0.8636; α = 0.05) while the thermal sum increased that rate for all evaluated harvests (r > 0.68; α = 0.05). Estimativa da produtividade agrícola da cana-de-açúcar para as condições climáticas do Centro GoianoModelos que estimam a produtividade potencial e deplecionada dos cultivos agrícolas em função de variáveis climáticas tornam possível o planejamento agrícola da lavoura e a quantificação da produção para uma dada região. Sendo assim, objetivou-se comparar métodos para a estimativa da produtividade da cana-de-açúcar cultivada nas condições climáticas da região central do Estado de Goiás. Para isto, utilizaram-se o Método da Zona Agroecológica (ZAE) e o modelo proposto por Scarpari (S), correlacionando-os aos dados reais de produtividade da cana, em uma área experimental, localizada em Santo Antônio de Goiás GO. Os dados de produtividade são referentes aos anos safra 2008/2009 (cana-planta), 2009/2010, 2010/2011 e 2011/2012 (canas-soca). Foram avaliadas também as taxas de produtividade em função da demanda hídrica atmosférica e do déficit hídrico da região de estudo. As produtividades estimadas e reais foram ajustadas em função da quebra de produtividade devido ao estádio de corte da cana, utilizando-se a redução de produtividade média observada na área experimental e a redução média para o estado de Goiás. Os resultados indicaram que a metodologia ZAE considerando o déficit hídrico apresentou boas estimativas de produtividade para a cana-planta (d > 0,90). O déficit hídrico ocasiona redução na taxa de produtividade (r = 0,8636, α = 0,05), enquanto a soma térmica contribui para o aumento dessa taxa em todas as safras avaliadas (r > 0,68, α = 0,05).Palavras-chave: Saccharum spp.; planejamento agrícola; modelo de previsão de produtividade.

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Sugarcane crop efficiency in two growing seasons in São Paulo State, Brazil

Cited by 37 publications

References 15 publications

Spatio-temporal variability of sugarcane yield efficiency in the state of São Paulo, Brazil

Spatio-temporal variability of sugarcane yield efficiency in the state of São Paulo, Brazil

Offsetting high water demands with high productivity: Sorghum as a biofuel crop in a high irradiance arid ecosystem

Sugarcane yield estimation for climatic conditions in the state of Goiás

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