Classification of common bean families under different scenarios of spatial dependence and experimental precision
Autor(a) principal: | |
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Data de Publicação: | 2016 |
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/21762 |
Resumo: | The objective of this work was to evaluate the efficiency of spatial statistical analysis, compared to the usual analyzes in randomized blocks and in lattice, for the classification of common bean (Phaseolus vulgaris) families under different scenarios of spatial dependence and experimental precision. Twelve scenarios were considered, formed by four classes of spatial dependence between errors (null, low, medium, and high) and three classes of experimental precision (medium, high, and very high). For the three classes of experimental precision, the following values of selective accuracy were defined: 0.60, 0.80, and 0.95, respectively. The four classes of spatial dependence between errors assumed, respectively, the following range values for the exponential geostatistical model: 0, 10, 20, and 40 m. In experiments with very high experimental precision or with the absence of spatial dependence, the efficiency of the spatial analysis for the classification of common bean families is similar to that of the usual analyses. In experiments with high and, especially, with medium experimental precision, the spatial analysis is more efficient than the usual analyses for the classification of common bean families, when the errors show spatial dependence. |
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Classification of common bean families under different scenarios of spatial dependence and experimental precisionClassificação de famílias do feijoeiro sob diferentes cenários de dependência espacial e precisão experimentalPhaseolus vulgaris; selective accuracy; spatial analysis; autocorrelation; dependent errors; geostatistical modelsPhaseolus vulgaris; acurácia seletiva; análise espacial; autocorrelação; erros dependentes; modelos geoestatísticosThe objective of this work was to evaluate the efficiency of spatial statistical analysis, compared to the usual analyzes in randomized blocks and in lattice, for the classification of common bean (Phaseolus vulgaris) families under different scenarios of spatial dependence and experimental precision. Twelve scenarios were considered, formed by four classes of spatial dependence between errors (null, low, medium, and high) and three classes of experimental precision (medium, high, and very high). For the three classes of experimental precision, the following values of selective accuracy were defined: 0.60, 0.80, and 0.95, respectively. The four classes of spatial dependence between errors assumed, respectively, the following range values for the exponential geostatistical model: 0, 10, 20, and 40 m. In experiments with very high experimental precision or with the absence of spatial dependence, the efficiency of the spatial analysis for the classification of common bean families is similar to that of the usual analyses. In experiments with high and, especially, with medium experimental precision, the spatial analysis is more efficient than the usual analyses for the classification of common bean families, when the errors show spatial dependence.O objetivo deste trabalho foi avaliar a eficiência da análise estatística espacial, em comparação a análises usuais em blocos ao acaso e em látice, na classificação de famílias de feijoeiro (Phaseolus vulgaris), sob diferentes cenários de dependência espacial e de precisão experimental. Foram considerados 12 cenários, formados por quatro classes de dependência espacial entre erros (nula, baixa, média e alta) e três classes de precisão experimental (moderada, alta e muito alta). Para as três classes de precisão experimental, foram definidos os valores de acurácia seletiva de: 0,60, 0,80 e 0,95, respectivamente. Já as quatro classes de dependência espacial entre erros assumiram, respectivamente, os seguintes valores de alcance do modelo geoestatístico exponencial: 0, 10, 20 e 40 m. Para experimentos com precisão experimental muito alta ou ausência de dependência espacial, a eficiência da análise espacial para classificação de famílias do feijoeiro é semelhante à eficiência das análises usuais. Para experimentos com alta e, principalmente, com moderada precisão experimental, a análise espacial é mais eficiente que as análises usuais para classificação de famílias de feijoeiro, quando os erros apresentam dependência espacial.Pesquisa Agropecuaria BrasileiraPesquisa Agropecuária BrasileiraConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa de Minas Gerais (Fapemig)Campos, Josmar Furtado deCarneiro, Antonio Policarpo SouzaPeternelli, Luiz AlexandreCarneiro, José Eustáquio de SouzaSilva, Michele Jorge daCecon, Paulo Roberto2016-03-30info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://seer.sct.embrapa.br/index.php/pab/article/view/21762Pesquisa Agropecuaria Brasileira; v.51, n.2, fev. 2016; 105-111Pesquisa Agropecuária Brasileira; v.51, n.2, fev. 2016; 105-1111678-39210100-104xreponame:Pesquisa Agropecuária Brasileira (Online)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPAporhttps://seer.sct.embrapa.br/index.php/pab/article/view/21762/13211https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/21762/13851Direitos autorais 2016 Pesquisa Agropecuária Brasileirainfo:eu-repo/semantics/openAccess2016-03-30T12:41:03Zoai:ojs.seer.sct.embrapa.br:article/21762Revistahttp://seer.sct.embrapa.br/index.php/pabPRIhttps://old.scielo.br/oai/scielo-oai.phppab@sct.embrapa.br || sct.pab@embrapa.br1678-39210100-204Xopendoar:2016-03-30T12:41:03Pesquisa Agropecuária Brasileira (Online) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Classification of common bean families under different scenarios of spatial dependence and experimental precision Classificação de famílias do feijoeiro sob diferentes cenários de dependência espacial e precisão experimental |
title |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
spellingShingle |
Classification of common bean families under different scenarios of spatial dependence and experimental precision Campos, Josmar Furtado de Phaseolus vulgaris; selective accuracy; spatial analysis; autocorrelation; dependent errors; geostatistical models Phaseolus vulgaris; acurácia seletiva; análise espacial; autocorrelação; erros dependentes; modelos geoestatísticos |
title_short |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
title_full |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
title_fullStr |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
title_full_unstemmed |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
title_sort |
Classification of common bean families under different scenarios of spatial dependence and experimental precision |
author |
Campos, Josmar Furtado de |
author_facet |
Campos, Josmar Furtado de Carneiro, Antonio Policarpo Souza Peternelli, Luiz Alexandre Carneiro, José Eustáquio de Souza Silva, Michele Jorge da Cecon, Paulo Roberto |
author_role |
author |
author2 |
Carneiro, Antonio Policarpo Souza Peternelli, Luiz Alexandre Carneiro, José Eustáquio de Souza Silva, Michele Jorge da Cecon, Paulo Roberto |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Fundação de Amparo à Pesquisa de Minas Gerais (Fapemig) |
dc.contributor.author.fl_str_mv |
Campos, Josmar Furtado de Carneiro, Antonio Policarpo Souza Peternelli, Luiz Alexandre Carneiro, José Eustáquio de Souza Silva, Michele Jorge da Cecon, Paulo Roberto |
dc.subject.por.fl_str_mv |
Phaseolus vulgaris; selective accuracy; spatial analysis; autocorrelation; dependent errors; geostatistical models Phaseolus vulgaris; acurácia seletiva; análise espacial; autocorrelação; erros dependentes; modelos geoestatísticos |
topic |
Phaseolus vulgaris; selective accuracy; spatial analysis; autocorrelation; dependent errors; geostatistical models Phaseolus vulgaris; acurácia seletiva; análise espacial; autocorrelação; erros dependentes; modelos geoestatísticos |
description |
The objective of this work was to evaluate the efficiency of spatial statistical analysis, compared to the usual analyzes in randomized blocks and in lattice, for the classification of common bean (Phaseolus vulgaris) families under different scenarios of spatial dependence and experimental precision. Twelve scenarios were considered, formed by four classes of spatial dependence between errors (null, low, medium, and high) and three classes of experimental precision (medium, high, and very high). For the three classes of experimental precision, the following values of selective accuracy were defined: 0.60, 0.80, and 0.95, respectively. The four classes of spatial dependence between errors assumed, respectively, the following range values for the exponential geostatistical model: 0, 10, 20, and 40 m. In experiments with very high experimental precision or with the absence of spatial dependence, the efficiency of the spatial analysis for the classification of common bean families is similar to that of the usual analyses. In experiments with high and, especially, with medium experimental precision, the spatial analysis is more efficient than the usual analyses for the classification of common bean families, when the errors show spatial dependence. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-03-30 |
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/21762 |
url |
https://seer.sct.embrapa.br/index.php/pab/article/view/21762 |
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/21762/13211 https://seer.sct.embrapa.br/index.php/pab/article/downloadSuppFile/21762/13851 |
dc.rights.driver.fl_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Direitos autorais 2016 Pesquisa Agropecuária Brasileira |
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.51, n.2, fev. 2016; 105-111 Pesquisa Agropecuária Brasileira; v.51, n.2, fev. 2016; 105-111 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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1793416706841903104 |