Experimental precision of spatial analysis methods to evaluate the productivity of common bean families
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Revista de Ciências Agrárias (Belém. Online) |
Texto Completo: | https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193 |
Resumo: | The analysis strategies that model spatial dependence, in the form of covariance analysis, have been suggested in plant breeding, in order to exert greater local control and to increase experimental precision. This study aimed to evaluate the degree of spatial dependence of errors in productivity experiments to evaluate common bean families, to compare the experimental precision of the methods of spatial analysis, moving average and Papadakis, identify the most suitable neighboring plots for the calculation of the environmental index, besides proposing and evaluating changes in the application of these methods of spatial analysis. Data of grain yield of common bean families of the winter season 2006/2007 and drought season 2007/2008 were used. In these experiments, the number of families evaluated ranged from 25 to 400, characterizing the 5 × 5 to 20 × 20 square lattice. The moving averages and Papadakis methods, combined with the randomized block design, ensure spatial independence of the errors and presented experimental precision similar to that of the lattice analysis. For the calculation of the environmental index, the highest experimental precision was obtained from the use of two neighboring plots, one upper and one lower than the reference plot. The proposed modification in the application of the methods of spatial analysis provided greater experimental precision in relation to the lattice analysis, especially in experiments with moderate spatial dependence and using the reapplication of the Papadakis method. |
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Experimental precision of spatial analysis methods to evaluate the productivity of common bean familiesPrecisão experimental de métodos de análise espacial para avaliação da produtividade de famílias de feijão comumPhaseolus vulgaris LSpatial dependenceMoving averagePapadakisCiências AgráriasPhaseolus vulgaris LDependência espacialMédia móvelPapadakisThe analysis strategies that model spatial dependence, in the form of covariance analysis, have been suggested in plant breeding, in order to exert greater local control and to increase experimental precision. This study aimed to evaluate the degree of spatial dependence of errors in productivity experiments to evaluate common bean families, to compare the experimental precision of the methods of spatial analysis, moving average and Papadakis, identify the most suitable neighboring plots for the calculation of the environmental index, besides proposing and evaluating changes in the application of these methods of spatial analysis. Data of grain yield of common bean families of the winter season 2006/2007 and drought season 2007/2008 were used. In these experiments, the number of families evaluated ranged from 25 to 400, characterizing the 5 × 5 to 20 × 20 square lattice. The moving averages and Papadakis methods, combined with the randomized block design, ensure spatial independence of the errors and presented experimental precision similar to that of the lattice analysis. For the calculation of the environmental index, the highest experimental precision was obtained from the use of two neighboring plots, one upper and one lower than the reference plot. The proposed modification in the application of the methods of spatial analysis provided greater experimental precision in relation to the lattice analysis, especially in experiments with moderate spatial dependence and using the reapplication of the Papadakis method.As estratégias de análise que modelam a dependência espacial, na forma de análise de covariância, têm sido sugeridas no melhoramento de plantas, a fim de exercer maior controle local e aumentar a precisão experimental. Este estudo teve como objetivo avaliar o grau de dependência espacial de erros em ensaios de produtividade para avaliar famílias de feijão comum; comparar a precisão experimental dos métodos de análise espacial, média móvel e Papadakis; identificar as parcelas vizinhas mais adequadas para o cálculo do índice ambiente; e propor e avaliar mudanças na aplicação desses métodos de análise espacial. Foram utilizados dados de rendimento de grãos de famílias de feijoeiro da temporada de inverno 2006/2007 e seca 2007/2008. Nesses ensaios, o número de famílias avaliadas variou de 25 a 400, caracterizando a rede quadrada de 5 × 5 a 20 × 20. As médias móveis e os métodos de Papadakis, combinados com o delineamento de blocos ao acaso, garantem independência espacial dos erros e apresentaram precisão experimental semelhante à da análise em látice. Para o cálculo do índice ambiental, a maior precisão experimental foi obtida a partir do uso de duas parcelas vizinhas, uma superior e outra inferior à parcela de referência. A modificação proposta na aplicação dos métodos de análise espacial proporcionou maior precisão experimental em relação à análise em látice, principalmente em ensaios com moderada dependência espacial e com a reaplicação do método de Papadakis.Universidade Federal Rural da Amazônia/UFRA2020-05-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionTextoapplication/pdfhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 63 (2020): RCARevista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 63 (2020): RCA2177-87601517-591Xreponame:Revista de Ciências Agrárias (Belém. Online)instname:Universidade Federal Rural da Amazônia (UFRA)instacron:UFRAporhttps://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193/1584Copyright (c) 2020 Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciencesinfo:eu-repo/semantics/openAccessSilva, Michele Jorge daCarneiro, Antonio Policarpo SouzaFeres, Andréia Luiza GonzagaCarneiro, José Eustáquio de SouzaCecon, Paulo Roberto2020-05-19T16:06:42Zoai:ojs.www.periodicos.ufra.edu.br:article/3193Revistahttps://ajaes.ufra.edu.br/index.php/ajaes/PUBhttps://ajaes.ufra.edu.br/index.php/ajaes/oaiallan.lobato@ufra.edu.br || ajaes.suporte@gmail.com2177-87601517-591Xopendoar:2020-05-19T16:06:42Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA)false |
dc.title.none.fl_str_mv |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families Precisão experimental de métodos de análise espacial para avaliação da produtividade de famílias de feijão comum |
title |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
spellingShingle |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families Silva, Michele Jorge da Phaseolus vulgaris L Spatial dependence Moving average Papadakis Ciências Agrárias Phaseolus vulgaris L Dependência espacial Média móvel Papadakis |
title_short |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
title_full |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
title_fullStr |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
title_full_unstemmed |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
title_sort |
Experimental precision of spatial analysis methods to evaluate the productivity of common bean families |
author |
Silva, Michele Jorge da |
author_facet |
Silva, Michele Jorge da Carneiro, Antonio Policarpo Souza Feres, Andréia Luiza Gonzaga Carneiro, José Eustáquio de Souza Cecon, Paulo Roberto |
author_role |
author |
author2 |
Carneiro, Antonio Policarpo Souza Feres, Andréia Luiza Gonzaga Carneiro, José Eustáquio de Souza Cecon, Paulo Roberto |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva, Michele Jorge da Carneiro, Antonio Policarpo Souza Feres, Andréia Luiza Gonzaga Carneiro, José Eustáquio de Souza Cecon, Paulo Roberto |
dc.subject.por.fl_str_mv |
Phaseolus vulgaris L Spatial dependence Moving average Papadakis Ciências Agrárias Phaseolus vulgaris L Dependência espacial Média móvel Papadakis |
topic |
Phaseolus vulgaris L Spatial dependence Moving average Papadakis Ciências Agrárias Phaseolus vulgaris L Dependência espacial Média móvel Papadakis |
description |
The analysis strategies that model spatial dependence, in the form of covariance analysis, have been suggested in plant breeding, in order to exert greater local control and to increase experimental precision. This study aimed to evaluate the degree of spatial dependence of errors in productivity experiments to evaluate common bean families, to compare the experimental precision of the methods of spatial analysis, moving average and Papadakis, identify the most suitable neighboring plots for the calculation of the environmental index, besides proposing and evaluating changes in the application of these methods of spatial analysis. Data of grain yield of common bean families of the winter season 2006/2007 and drought season 2007/2008 were used. In these experiments, the number of families evaluated ranged from 25 to 400, characterizing the 5 × 5 to 20 × 20 square lattice. The moving averages and Papadakis methods, combined with the randomized block design, ensure spatial independence of the errors and presented experimental precision similar to that of the lattice analysis. For the calculation of the environmental index, the highest experimental precision was obtained from the use of two neighboring plots, one upper and one lower than the reference plot. The proposed modification in the application of the methods of spatial analysis provided greater experimental precision in relation to the lattice analysis, especially in experiments with moderate spatial dependence and using the reapplication of the Papadakis method. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-05-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Texto |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193 |
url |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://ajaes.ufra.edu.br/index.php/ajaes/article/view/3193/1584 |
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 |
Universidade Federal Rural da Amazônia/UFRA |
publisher.none.fl_str_mv |
Universidade Federal Rural da Amazônia/UFRA |
dc.source.none.fl_str_mv |
Amazonian Journal of Agricultural Sciences Journal of Agricultural and Environmental Sciences; Vol 63 (2020): RCA Revista de Ciências Agrárias Amazonian Journal of Agricultural and Environmental Sciences; v. 63 (2020): RCA 2177-8760 1517-591X reponame:Revista de Ciências Agrárias (Belém. Online) instname:Universidade Federal Rural da Amazônia (UFRA) instacron:UFRA |
instname_str |
Universidade Federal Rural da Amazônia (UFRA) |
instacron_str |
UFRA |
institution |
UFRA |
reponame_str |
Revista de Ciências Agrárias (Belém. Online) |
collection |
Revista de Ciências Agrárias (Belém. Online) |
repository.name.fl_str_mv |
Revista de Ciências Agrárias (Belém. Online) - Universidade Federal Rural da Amazônia (UFRA) |
repository.mail.fl_str_mv |
allan.lobato@ufra.edu.br || ajaes.suporte@gmail.com |
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1797231630027325440 |