Sugarcane maturity estimation through edaphic-climatic parameters
Autor(a) principal: | |
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Data de Publicação: | 2004 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Scientia Agrícola (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004 |
Resumo: | 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 sugarcane proved to be significant, with a coefficient of determination (R²) of 0.7049*. No differences were detected between measured and estimated data in the simulation (P < 0.05). |
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Sugarcane maturity estimation through edaphic-climatic parameterssucrosepredictingqualitymathematical modelclimatologySugarcane (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 sugarcane proved to be significant, with a coefficient of determination (R²) of 0.7049*. No differences were detected between measured and estimated data in the simulation (P < 0.05).Escola Superior de Agricultura "Luiz de Queiroz"2004-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004Scientia Agricola v.61 n.5 2004reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162004000500004info:eu-repo/semantics/openAccessScarpari,Maximiliano SallesBeauclair,Edgar Gomes Ferreira deeng2004-09-20T00:00:00Zoai:scielo:S0103-90162004000500004Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2004-09-20T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Sugarcane maturity estimation through edaphic-climatic parameters |
title |
Sugarcane maturity estimation through edaphic-climatic parameters |
spellingShingle |
Sugarcane maturity estimation through edaphic-climatic parameters Scarpari,Maximiliano Salles sucrose predicting quality mathematical model climatology |
title_short |
Sugarcane maturity estimation through edaphic-climatic parameters |
title_full |
Sugarcane maturity estimation through edaphic-climatic parameters |
title_fullStr |
Sugarcane maturity estimation through edaphic-climatic parameters |
title_full_unstemmed |
Sugarcane maturity estimation through edaphic-climatic parameters |
title_sort |
Sugarcane maturity estimation through edaphic-climatic parameters |
author |
Scarpari,Maximiliano Salles |
author_facet |
Scarpari,Maximiliano Salles Beauclair,Edgar Gomes Ferreira de |
author_role |
author |
author2 |
Beauclair,Edgar Gomes Ferreira de |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Scarpari,Maximiliano Salles Beauclair,Edgar Gomes Ferreira de |
dc.subject.por.fl_str_mv |
sucrose predicting quality mathematical model climatology |
topic |
sucrose predicting quality mathematical model climatology |
description |
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 sugarcane proved to be significant, with a coefficient of determination (R²) of 0.7049*. No differences were detected between measured and estimated data in the simulation (P < 0.05). |
publishDate |
2004 |
dc.date.none.fl_str_mv |
2004-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162004000500004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S0103-90162004000500004 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
publisher.none.fl_str_mv |
Escola Superior de Agricultura "Luiz de Queiroz" |
dc.source.none.fl_str_mv |
Scientia Agricola v.61 n.5 2004 reponame:Scientia Agrícola (Online) instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Scientia Agrícola (Online) |
collection |
Scientia Agrícola (Online) |
repository.name.fl_str_mv |
Scientia Agrícola (Online) - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
scientia@usp.br||alleoni@usp.br |
_version_ |
1748936459606294528 |