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Sugarcane maturity estimation through edaphic-climatic parameters Scientia Agricola
Scarpari,Maximiliano Salles; Beauclair,Edgar Gomes Ferreira de.
Sugarcane (Saccharum officinarum L.) grows under different weather conditions directly affecting crop maturation. Raw material quality predicting models are important tools in sugarcane crop management; the goal of these models is to provide productivity estimates during harvesting, increasing the efficiency of strategical and administrative decisions. The objective of this work was developing a model to predict Total Recoverable Sugars (TRS) during harvesting, using data related to production factors such as soil water storage and negative degree-days. The database of a sugar mill for the crop seasons 1999/2000, 2000/2001 and 2001/2002 was analyzed, and statistical models were tested to estimate raw material. The maturity model for a one-year old...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Sucrose; Predicting; Quality; Mathematical model; Climatology.
Ano: 2004 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004
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Physiological model to estimate the maturity of sugarcane Scientia Agricola
Scarpari,Maximiliano Salles; Beauclair,Edgar Gomes Ferreira de.
Sugarcane (Saccharum spp.) grows in different weather and management conditions which directly affect crop maturation. These conditions lead to the necessity of quantifying crop response to different stimuli for planning purposes. Forecast models for the quality of raw material are important tools in sugarcane farming, especially the forecast curve of sucrose accumulation in shoots. The goal of these models is to supply yield estimates during the crop cycle, aiming to characterize alternatives and to increase the efficacy for management and strategic decisions. The objective of this project was to develop empiric models capable of obtaining estimates of total recoverable sugar (TRS), for the varieties RB72454, SP81-3250 and SP80-1842 during the crop cycle,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Climatology; Crop models; Productivity; Regression; Sucrose.
Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162009000500006
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