Growth indices ans productivity in sugarcane

Simões, Marcelo Luiz; Rocha, Jansle Vieira; Lamparelli, Rubens Augusto Camargo

doi:10.1590/s0103-90162005000100005

Cited by 30 publications

(20 citation statements)

References 4 publications

(5 reference statements)

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“…However, a very important part of the biomass produced in the system remains within it as dead material (dead leaves and stems), green leaves and turfs which are consequently burnt before and after harvesting; in the P cycling those fluxes are recorded either as P coming from completely burnt ashes (dry deposition) or uncompleted (partially) burnt materials that remain in the soil floor to be later decomposed, therefore entering in the internal P cycling (Sequera et al, 1991). The curves that best fitted green biomass and stem productivity increases in sugar cane, in relation to numbers of days of growing, were sigmoidal-shaped, similar information reported Simoes et al (2005) for total biomass and productivity in sugar cane commercial plantations in Araras, Brazil.…”

Section: Discussionsupporting

confidence: 77%

Phosphorus Biogeochemical Cycling in a Sugar Cane Agroecosystem

AMJAD¹

2012

American Journal of Agricultural and Biological Sciences

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The annual harvest of sugarcane plantations together with the burning of the crop before harvest, a common practice of management of sugarcane plantations in South America, leads to the loss of significant amounts of nutrients in those agroecosystems. Thus prescribed burning operations could progressively diminish the level of soil organic matter and increase nutrient deficiency in soils of sugar cane agrosystems. This study is an attempt to quantify the P distribution during the period of growth in a plantation of sugar cane (Saccharum officinarum) located near San Felipe, Yaracuy State, Central, Venezuela focusing on processes related to the cycling of the element as affected by burning operations. The work was performed in 4.5 ha experimental plots planted with the varieties Puerto Rico (PR) 1028 and Venezuela (V) 58-4. The principal flows of phosphorus, as well the quantities of this element in the soil-plant components were measured throughout the growing cycle of the crop (third ratoon). The inputs through precipitation (wet and dry) were high, that was associated with the intense agricultural (prescribed burning) and industrial activities occurring in the area. The annual balance for both varieties was negative (-17.31 and -23.63 kg ha -1 for V 58-4 and PR 1028, respectively). The negative budget is mainly due to the important amounts of P that are exported with the cane stems. The losses must be compensated through fertilization; nonetheless, preliminary results indicated no response to P dressing, suggesting that in the studied mollisols the internal processes e.g., Organic-P (Po) mineralization and P solubilization efficiently operate generating important available P levels. It was also found that the burning of the sugar cane plantation plays an important role in the recycling of phosphorus, since 25-28 % of the P requirements of the varieties are reincorporated into the soil from the ashes coming as bulk deposition.

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Section: Discussionsupporting

confidence: 77%

Phosphorus Biogeochemical Cycling in a Sugar Cane Agroecosystem

AMJAD¹

2012

American Journal of Agricultural and Biological Sciences

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“…The yield estimation methods for sugarcane adopted by the Brazilian government are considered subjective because they are based on information gathered from direct inquiries to the production sector, such as field research using questionnaires, surveys on information about demands on agriculture raw materials, use of yield historical data and field observations on plant behavior (IBGE, 2002;CONAB, 2007). The possibility of determining sugarcane development by spectral data such as the Normalized Difference Vegetation Index -NDVI (Simões et al, 2005a) and the correlation between vegetation indices and sugarcane yield (Simões et al, 2005b;Simões et al, 2009) demonstrate the potential of using spectral data for yield estimates at local scale. It is necessary to study this potential in a regional scale, in order to gather timely information about the plant development and about the expected yield before the harvesting.…”

Section: Introductionmentioning

confidence: 99%

Sugarcane yield estimates using time series analysis of spot vegetation images

Fernandes

Rocha

Lamparelli

2011

Sci. agric. (Piracicaba, Braz.)

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The current system used in Brazil for sugarcane (Saccharum officinarum L.) crop forecasting relies mainly on subjective information provided by sugar mill technicians and on information about demands of raw agricultural products from industry. This study evaluated the feasibility to estimate the yield at municipality level in São Paulo State, Brazil, using 10-day periods of SPOT Vegetation NDVI images and ECMWF meteorological data. Twenty municipalities and seven cropping seasons were selected between 1999 and 2006. The plant development cycle was divided into four phases, according to the sugarcane physiology, obtaining spectral and meteorological attributes for each phase. The most important attributes were selected and the average yield was classified according to a decision tree. Values obtained from the NDVI time profile from December to January next year enabled to classify yields into three classes: below average, average and above average. The results were more effective for 'average' and 'above average' classes, with 86.5 and 66.7% accuracy respectively. Monitoring sugarcane planted areas using SPOT Vegetation images allowed previous analysis and predictions on the average municipal yield trend. Key words: NDVI, remote sensing, data mining, crop forecasting Estimativa de produtividade da cana-de-açúcar por meio de séries temporais de imagens spot vegetation RESUMO: O atual sistema de previsão de safras para a cultura da cana-de-açúcar (Saccharum officinarum L.) usado no Brasil depende, em boa parte, de informações subjetivas, baseadas no conhecimento de técnicos do setor sucroalcooleiro e em informações sobre demanda de insumos na cadeia produtiva. Avaliou-se o uso de imagens decendiais de NDVI do sensor SPOT Vegetation e variáveis meteorológicas do modelo do ECMWF para inferir sobre os dados de produtividade oficiais registrados em municípios e safras previamente selecionados. Foram selecionados 20 municípios e sete safras compreendidas entre o período de 1999 e 2006. O ciclo de desenvolvimento da cultura foi dividido em quatro fases, de acordo com a fisiologia, gerando para cada fase atributos espectrais e meteorológicos. Foram selecionados os atributos mais relevantes para a classificação da produtividade média municipal e, por meio de árvore de decisão, a produtividade média municipal foi classificada. Valores extraídos do perfil temporal do NDVI entre os meses de dezembro e janeiro permitiram classificar a produtividade em três classes: abaixo da média, média e acima da média. Os resultados foram mais efetivos para as classes "média" e "acima da média", com acertos de 86,5 e 66,7%, respectivamente. O monitoramento de áreas canavieiras do estado de São Paulo por meio de imagens SPOT Vegetation permitiu inferir sobre a tendência da produtividade média municipal previamente. Palavras-chave: NDVI, sensoriamento remoto, mineração de dados, previsão de safras

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“…Este mesmo padrão foi observado por Tei et al (1996), ajustando este modelo ao acúmulo de massa seca da alface. Por outro lado, Simões et al (2005) afirmam que este modelo apresentou boas estimativas do acúmulo de matéria seca da planta, sobretudo no início e no fim do ciclo da cana-de-açúcar.…”

Section: Methodsunclassified

“…Na cultura da cana-de-açúcar, exemplos da utilização de modelos de crescimento incluem estudos sobre o efeito de doses de fertilizantes na produtividade (Gava et al, 2001;Santos et al, 2009); desempenho produtivo de cultivares em condições ambientais particulares (Oliveira et al, 2004;Silva et al, 2012), eficiência do uso da água de cultivares (Oliveira et al, 2010) e evolução temporal de variáveis agronômicas (Simões et al, 2005).…”

Section: Introductionunclassified

Modelagem do crescimento de cultivares de cana-de-açúcar no período de formação da cultura

Batista¹,

Zolnier²,

Ribeiro³

et al. 2013

Rev. bras. eng. agríc. ambient.

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RESUMOEste estudo teve como objetivo ajustar modelos de crescimento ao acúmulo de matéria seca da parte aérea da cana-de-açúcar durante o período de formação da cultura, para as cultivares RB92579, RB867515, RB928064 e RB855453. Dados de matéria seca foram obtidos durante a execução de experimento em condições de campo entre 26/08/11 e 18/05/12. Os dados experimentais foram coletados a partir dos 45 dias após o plantio, em intervalos de uma ou duas semanas, totalizando 17 datas de amostragem. Os valores obtidos foram submetidos à análise de regressão não linear para determinação dos parâmetros dos modelos expolinear, logístico e Gompertz. Todos os modelos avaliados foram capazes de simular adequadamente o acúmulo de matéria seca pelas cultivares ao longo do período estudado, com valores de coeficiente de determinação ajustados (R 2 aj ) acima de 0,9245. Com base no modelo de crescimento expolinear, constatouse que, ao final do período experimental, a massa seca foi ligeiramente maior para a cultivar RB855453 em comparação à RB867515, as quais se destacaram em relação às cultivares RB928064 e RB92579. Palavras-chave: Saccharum officinarum, modelos de crescimento, análise de crescimentoModeling of growth of sugarcane cultivars during the crop formation period ABSTRACT The objective of the present study was to adjust growth models to the above-ground accumulated sugarcane dry matter, during the crop formation period, for cultivars RB92579, RB867515, RB928064 and RB855453. Dry matter data were obtained during the execution of experiment under field conditions from October 26, 2011 to May 18, 2012. Experimental data were collected from 45 days after planting, in one or two week time intervals, totalizing 17 sampling dates. The obtained values were subjected to nonlinear regression analysis in order to determine the parameters of the expolinear, logistic and Gompertz models. All evaluated models were capable of adequately simulating the dry matter accumulation by the cultivars during the studied period, with values of the adjusted determination coefficient above 0.9245. Based on the expolinear growth model, it was observed, at the end of the experimental period, that the accumulated dry mass was stightly superior for the cultivar RB855453 as compared to the RB867515, which outperformed the cultivars RB928064 and RB92579.

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Growth indices ans productivity in sugarcane

Cited by 30 publications

References 4 publications

Phosphorus Biogeochemical Cycling in a Sugar Cane Agroecosystem

Phosphorus Biogeochemical Cycling in a Sugar Cane Agroecosystem

Sugarcane yield estimates using time series analysis of spot vegetation images

Modelagem do crescimento de cultivares de cana-de-açúcar no período de formação da cultura

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