Phenological periods and soybean cycle according to maturity groups and sowing dates
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Brasileira (Online) |
Texto Completo: | https://seer.sct.embrapa.br/index.php/pab/article/view/16151 |
Resumo: | The objective of this work was to estimate the average length of phenological subperiods and of soybean development cycle as affected by maturity groups and sowing dates, and to determine the probability distribution functions that best characterize the distribution of this data. It was evaluated the exponential, gamma, lognormal, normal, and Weibull functions, and determined the one with the best fit to the simulated crop development data, using meteorological data collected from October 1968 to July 2012, at the main climatological station of Santa Maria, RS, Brazil. Crop development was simulated for different sowing dates, considering the maturity groups (GM): 5.9–6.8, early/semiearly cycle; 6.9–7.3, medium cycle; and 7.4–8.0, semilate/late cycle. The lognormal function has the best fit for the length of soybean subperiods and cycle. This length varies according to the sowing date, with bigger cycles in early sowings (October), and smaller ones at late sowings (December). |
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Phenological periods and soybean cycle according to maturity groups and sowing datesSubperíodos fenológicos e ciclo da soja conforme grupos de maturidade e datas de semeaduraGlycine max; sowing dates; development models; probability density function; thermal summationGlycine max; datas de semeadura; modelos de desenvolvimento; função densidade de probabilidade; soma térmicaThe objective of this work was to estimate the average length of phenological subperiods and of soybean development cycle as affected by maturity groups and sowing dates, and to determine the probability distribution functions that best characterize the distribution of this data. It was evaluated the exponential, gamma, lognormal, normal, and Weibull functions, and determined the one with the best fit to the simulated crop development data, using meteorological data collected from October 1968 to July 2012, at the main climatological station of Santa Maria, RS, Brazil. Crop development was simulated for different sowing dates, considering the maturity groups (GM): 5.9–6.8, early/semiearly cycle; 6.9–7.3, medium cycle; and 7.4–8.0, semilate/late cycle. The lognormal function has the best fit for the length of soybean subperiods and cycle. This length varies according to the sowing date, with bigger cycles in early sowings (October), and smaller ones at late sowings (December).O objetivo deste trabalho foi estimar a duração dos subperíodos fenológicos e do ciclo de desenvolvimento da soja, de acordo com grupos de maturidade e datas de semeadura, e determinar as funções de distribuição de probabilidades que melhor caracterizam a distribuição destes dados. Foram avaliadas as funções exponencial, gama, lognormal, normal e Weibull, tendo-se verificado a de melhor ajuste aos dados de desenvolvimento simulado da cultura, de acordo com dados meteorológicos diários coletados de outubro de 1968 a julho de 2012, na estação climatológica principal de Santa Maria, RS. A simulação do desenvolvimento da cultura foi feita para diferentes datas de semeadura, com os grupos de maturidade (GM): 5.9–6.8, ciclo precoce/semiprecoce; 6.9–7.3, ciclo médio; e 7.4–8.0, ciclo semitardio/tardio. A função lognormal é a que melhor se ajusta à duração dos subperíodos e do ciclo da soja. Esta duração varia conforme a data de semeadura, com ciclo maior nas semeaduras antecipadas (outubro) e menor nas tardias (dezembro).Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraCapes e CNPqTrentin, RobertoHeldwein, Arno BernardoStreck, Nereu AugustoTrentin, GustavoSilva, Joel Cordeiro da2013-10-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/16151Pesquisa Agropecuaria Brasileira; v.48, n.7, jul. 2013; 703-713Pesquisa Agropecuária Brasileira; v.48, n.7, jul. 2013; 703-7131678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/16151/12254https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/16151/10140info:eu-repo/semantics/openAccess2013-10-31T18:42:03Zoai:ojs.seer.sct.embrapa.br:article/16151Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2013-10-31T18:42:03Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Phenological periods and soybean cycle according to maturity groups and sowing dates Subperíodos fenológicos e ciclo da soja conforme grupos de maturidade e datas de semeadura |
title |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
spellingShingle |
Phenological periods and soybean cycle according to maturity groups and sowing dates Trentin, Roberto Glycine max; sowing dates; development models; probability density function; thermal summation Glycine max; datas de semeadura; modelos de desenvolvimento; função densidade de probabilidade; soma térmica |
title_short |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
title_full |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
title_fullStr |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
title_full_unstemmed |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
title_sort |
Phenological periods and soybean cycle according to maturity groups and sowing dates |
author |
Trentin, Roberto |
author_facet |
Trentin, Roberto Heldwein, Arno Bernardo Streck, Nereu Augusto Trentin, Gustavo Silva, Joel Cordeiro da |
author_role |
author |
author2 |
Heldwein, Arno Bernardo Streck, Nereu Augusto Trentin, Gustavo Silva, Joel Cordeiro da |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Capes e CNPq |
dc.contributor.author.fl_str_mv |
Trentin, Roberto Heldwein, Arno Bernardo Streck, Nereu Augusto Trentin, Gustavo Silva, Joel Cordeiro da |
dc.subject.por.fl_str_mv |
Glycine max; sowing dates; development models; probability density function; thermal summation Glycine max; datas de semeadura; modelos de desenvolvimento; função densidade de probabilidade; soma térmica |
topic |
Glycine max; sowing dates; development models; probability density function; thermal summation Glycine max; datas de semeadura; modelos de desenvolvimento; função densidade de probabilidade; soma térmica |
description |
The objective of this work was to estimate the average length of phenological subperiods and of soybean development cycle as affected by maturity groups and sowing dates, and to determine the probability distribution functions that best characterize the distribution of this data. It was evaluated the exponential, gamma, lognormal, normal, and Weibull functions, and determined the one with the best fit to the simulated crop development data, using meteorological data collected from October 1968 to July 2012, at the main climatological station of Santa Maria, RS, Brazil. Crop development was simulated for different sowing dates, considering the maturity groups (GM): 5.9–6.8, early/semiearly cycle; 6.9–7.3, medium cycle; and 7.4–8.0, semilate/late cycle. The lognormal function has the best fit for the length of soybean subperiods and cycle. This length varies according to the sowing date, with bigger cycles in early sowings (October), and smaller ones at late sowings (December). |
publishDate |
2013 |
dc.date.none.fl_str_mv |
2013-10-18 |
dc.type.none.fl_str_mv |
|
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/16151 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/16151 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://seer.sct.embrapa.br/index.php/pab/article/view/16151/12254 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/16151/10140 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
publisher.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira Pesquisa Agropecuária Brasileira |
dc.source.none.fl_str_mv |
Pesquisa Agropecuaria Brasileira; v.48, n.7, jul. 2013; 703-713 Pesquisa Agropecuária Brasileira; v.48, n.7, jul. 2013; 703-713 1678-3921 0100-104x reponame:Pesquisa Agropecuária Brasileira (Online) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Pesquisa Agropecuária Brasileira (Online) |
collection |
Pesquisa Agropecuária Brasileira (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
pab@sct.embrapa.br || sct.pab@embrapa.br |
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1793416706145648640 |