Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFG |
dARK ID: | ark:/38995/0013000002057 |
Texto Completo: | http://repositorio.bc.ufg.br/tede/handle/tede/3956 |
Resumo: | Some spatial analysis methods have been applied in order to mitigate environmental variation. The objective of this study was to evaluate the efficiency of spatial statistical, through the method of Papadakis, relative to the analysis to augmented blocks Federer in the correction of environmental variation. Were evaluated 198 progenies S0:2 of rice and four witnesses for augmented blocks of Federer. Data set were taken in the grain yield (GY, kg ha- 1) and plant height (PH, cm). The data set were subjected to variance analyses and were estimated the genetic and phenotypic parameters. The different approaches (BAF and Papadakis) were compared as to their estimates of genetic and phenotypic parameters. The ranking of adjusted means in the two models analyzed was performed, and calculated the Spearman correlation. There have been improvements in the statistics that depict the experimental accuracy when the spatial analysis was, that affect the estimates of genetic and phenotypic parameters. The use of the Papadakis method yielded fewer iterations compared to BAF for the same value of . Was able to gain direct selection for the AP and PG characters when the Papadakis method was used. With the use of spatial analysis selection was less influenced by the effect of environmental variation. Finally it was found that the spatial analysis methods were effective in the removal of environmental effects highlighting the Papadakis method, indicating that it can provide improvement |
id |
UFG-2_810b7da73d647a918276b7cb44cb512f |
---|---|
oai_identifier_str |
oai:repositorio.bc.ufg.br:tede/3956 |
network_acronym_str |
UFG-2 |
network_name_str |
Repositório Institucional da UFG |
repository_id_str |
|
spelling |
Melo, Patrícia Guimarães Santoshttp://lattes.cnpq.br/1508679345970114Morais, Orlando Peixoto deMelo, Patrícia Guimarães Santoshttp://lattes.cnpq.br/0305046485160862Guimarães, Paulo Henrique Ramos2015-01-28T11:19:18Z2014-02-28GUIMARÃES, Paulo Henrique Ramos. Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial. 2014. 76 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2014.http://repositorio.bc.ufg.br/tede/handle/tede/3956ark:/38995/0013000002057Some spatial analysis methods have been applied in order to mitigate environmental variation. The objective of this study was to evaluate the efficiency of spatial statistical, through the method of Papadakis, relative to the analysis to augmented blocks Federer in the correction of environmental variation. Were evaluated 198 progenies S0:2 of rice and four witnesses for augmented blocks of Federer. Data set were taken in the grain yield (GY, kg ha- 1) and plant height (PH, cm). The data set were subjected to variance analyses and were estimated the genetic and phenotypic parameters. The different approaches (BAF and Papadakis) were compared as to their estimates of genetic and phenotypic parameters. The ranking of adjusted means in the two models analyzed was performed, and calculated the Spearman correlation. There have been improvements in the statistics that depict the experimental accuracy when the spatial analysis was, that affect the estimates of genetic and phenotypic parameters. The use of the Papadakis method yielded fewer iterations compared to BAF for the same value of . Was able to gain direct selection for the AP and PG characters when the Papadakis method was used. With the use of spatial analysis selection was less influenced by the effect of environmental variation. Finally it was found that the spatial analysis methods were effective in the removal of environmental effects highlighting the Papadakis method, indicating that it can provide improvementAlguns métodos de análise espacial têm sido aplicados objetivando reduzir a variação ambiental. O objetivo deste trabalho foi avaliar a eficiência da análise espacial, por meio do método de Papadakis, em relação ao delineamento de blocos aumentados de Federer na correção da variação ambiental. Foram avaliadas 198 progênies S0:2 de arroz irrigado e quatro testemunhas no delineamento de blocos aumentados de Federer. Os caracteres avaliados foram: produção de grãos (PG, kg ha-1) e de altura de plantas (AP, cm). Foi efetuada análise de variância para os caracteres estudados e estimados os componentes de variância e os parâmetros genéticos e fenotípicos. As diferentes abordagens (BAF e Papadakis) foram comparadas quanto às suas estimativas de parâmetros genéticos e fenotípicos e correlação de Spearman. Houve melhorias nas estatísticas que retratam a precisão experimental quando a análise espacial foi utilizada, isto influenciou as estimativas de parâmetros genéticos e fenótipos. O uso do método de Papadakis apresentou a necessidade de uso de menor número de repetições em relação ao BAF para o mesmo valor de . Houve ganho de seleção direto para os caracteres AP e PG quando o método de Papadakis foi utilizado. Com o uso da análise espacial a seleção foi menos influenciada pelo efeito da variação ambiental. Por fim verificou-se que o método de Papadakis foi eficiente na remoção dos efeitos ambientais, indicando que o mesmo pode proporcionar melhoria na precisão experimental, o que torna o processo seletivo mais eficiente.Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-27T13:40:32Z No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Paulo Henrique Ramos Guimarães - 2014.pdf: 1517515 bytes, checksum: 862883b307a6231b2a7f63d38c9f03ea (MD5)Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2015-01-28T11:19:18Z (GMT) No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Paulo Henrique Ramos Guimarães - 2014.pdf: 1517515 bytes, checksum: 862883b307a6231b2a7f63d38c9f03ea (MD5)Made available in DSpace on 2015-01-28T11:19:18Z (GMT). No. of bitstreams: 2 license_rdf: 23148 bytes, checksum: 9da0b6dfac957114c6a7714714b86306 (MD5) Dissertação - Paulo Henrique Ramos Guimarães - 2014.pdf: 1517515 bytes, checksum: 862883b307a6231b2a7f63d38c9f03ea (MD5) Previous issue date: 2014-02-28Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPESapplication/pdfhttp://repositorio.bc.ufg.br/tede/retrieve/15417/Disserta%c3%a7%c3%a3o%20-%20Paulo%20Henrique%20Ramos%20Guimar%c3%a3es%20-%202014.pdf.jpgporUniversidade Federal de GoiásPrograma de Pós-graduação em Genetica e Melhoramentode PlantasUFGBrasilEscola de Agronomia e Engenharia de Alimentos - EAEA (RG)http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessBAFAnálise espacialPapadakisTécnicas experimentaisRepetibilidadeCoeficiente de determinaçãoBAFSpatial analysisPapadakisExperimental precisionExperimental techniquesRepeatabilityCoefficient of determinationCIENCIAS AGRARIAS::AGRONOMIAParâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacialGenetic and phenotypic parameters in rice crop estimated by method of spatial analysisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesis11674949490034622146006006006004500684695727928426-30911387149076039072075167498588264571reponame:Repositório Institucional da UFGinstname:Universidade Federal de Goiás (UFG)instacron:UFGORIGINALDissertação - Paulo Henrique Ramos Guimarães - 2014.pdfDissertação - Paulo Henrique Ramos Guimarães - 2014.pdfapplication/pdf1517515http://repositorio.bc.ufg.br/tede/bitstreams/19ea6e27-6daa-4c00-9ac7-fc86232ed233/download862883b307a6231b2a7f63d38c9f03eaMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82165http://repositorio.bc.ufg.br/tede/bitstreams/9a52f7da-53b2-4a47-846f-4c2f04bc1205/downloadbd3efa91386c1718a7f26a329fdcb468MD53CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.bc.ufg.br/tede/bitstreams/b264cfb0-486f-4ff8-9bec-ae2019165ffa/download4afdbb8c545fd630ea7db775da747b2fMD54license_textlicense_texttext/html; charset=utf-822901http://repositorio.bc.ufg.br/tede/bitstreams/a2a0cbd6-36c5-42ed-916a-7260ffbefb48/download29b9d5e95be03707f9d4a2e110421c11MD55license_rdflicense_rdfapplication/rdf+xml; charset=utf-823148http://repositorio.bc.ufg.br/tede/bitstreams/ee319b22-72c3-43db-8ea3-41fe21951009/download9da0b6dfac957114c6a7714714b86306MD56TEXTDissertação - Paulo Henrique Ramos Guimarães - 2014.pdf.txtDissertação - Paulo Henrique Ramos Guimarães - 2014.pdf.txtExtracted Texttext/plain156003http://repositorio.bc.ufg.br/tede/bitstreams/695aeaed-f55d-4fc2-801f-4f851a48c602/download0bcbac70dbccb66cb7adf254b5af7a2dMD57THUMBNAILDissertação - Paulo Henrique Ramos Guimarães - 2014.pdf.jpgDissertação - Paulo Henrique Ramos Guimarães - 2014.pdf.jpgGenerated Thumbnailimage/jpeg1943http://repositorio.bc.ufg.br/tede/bitstreams/c833f4f3-f789-4cbd-bf6d-45d2a57fac9f/downloadcc73c4c239a4c332d642ba1e7c7a9fb2MD58tede/39562015-01-29 03:05:19.332http://creativecommons.org/licenses/by-nc-nd/4.0/Acesso Abertoopen.accessoai:repositorio.bc.ufg.br:tede/3956http://repositorio.bc.ufg.br/tedeRepositório InstitucionalPUBhttp://repositorio.bc.ufg.br/oai/requesttasesdissertacoes.bc@ufg.bropendoar:2015-01-29T05:05:19Repositório Institucional da UFG - Universidade Federal de Goiás (UFG)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 |
dc.title.por.fl_str_mv |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
dc.title.alternative.eng.fl_str_mv |
Genetic and phenotypic parameters in rice crop estimated by method of spatial analysis |
title |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
spellingShingle |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial Guimarães, Paulo Henrique Ramos BAF Análise espacial Papadakis Técnicas experimentais Repetibilidade Coeficiente de determinação BAF Spatial analysis Papadakis Experimental precision Experimental techniques Repeatability Coefficient of determination CIENCIAS AGRARIAS::AGRONOMIA |
title_short |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
title_full |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
title_fullStr |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
title_full_unstemmed |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
title_sort |
Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial |
author |
Guimarães, Paulo Henrique Ramos |
author_facet |
Guimarães, Paulo Henrique Ramos |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/1508679345970114 |
dc.contributor.advisor-co1.fl_str_mv |
Morais, Orlando Peixoto de |
dc.contributor.referee1.fl_str_mv |
Melo, Patrícia Guimarães Santos |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0305046485160862 |
dc.contributor.author.fl_str_mv |
Guimarães, Paulo Henrique Ramos |
contributor_str_mv |
Melo, Patrícia Guimarães Santos Morais, Orlando Peixoto de Melo, Patrícia Guimarães Santos |
dc.subject.por.fl_str_mv |
BAF Análise espacial Papadakis Técnicas experimentais Repetibilidade Coeficiente de determinação |
topic |
BAF Análise espacial Papadakis Técnicas experimentais Repetibilidade Coeficiente de determinação BAF Spatial analysis Papadakis Experimental precision Experimental techniques Repeatability Coefficient of determination CIENCIAS AGRARIAS::AGRONOMIA |
dc.subject.eng.fl_str_mv |
BAF Spatial analysis Papadakis Experimental precision Experimental techniques Repeatability Coefficient of determination |
dc.subject.cnpq.fl_str_mv |
CIENCIAS AGRARIAS::AGRONOMIA |
description |
Some spatial analysis methods have been applied in order to mitigate environmental variation. The objective of this study was to evaluate the efficiency of spatial statistical, through the method of Papadakis, relative to the analysis to augmented blocks Federer in the correction of environmental variation. Were evaluated 198 progenies S0:2 of rice and four witnesses for augmented blocks of Federer. Data set were taken in the grain yield (GY, kg ha- 1) and plant height (PH, cm). The data set were subjected to variance analyses and were estimated the genetic and phenotypic parameters. The different approaches (BAF and Papadakis) were compared as to their estimates of genetic and phenotypic parameters. The ranking of adjusted means in the two models analyzed was performed, and calculated the Spearman correlation. There have been improvements in the statistics that depict the experimental accuracy when the spatial analysis was, that affect the estimates of genetic and phenotypic parameters. The use of the Papadakis method yielded fewer iterations compared to BAF for the same value of . Was able to gain direct selection for the AP and PG characters when the Papadakis method was used. With the use of spatial analysis selection was less influenced by the effect of environmental variation. Finally it was found that the spatial analysis methods were effective in the removal of environmental effects highlighting the Papadakis method, indicating that it can provide improvement |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-02-28 |
dc.date.accessioned.fl_str_mv |
2015-01-28T11:19:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
GUIMARÃES, Paulo Henrique Ramos. Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial. 2014. 76 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2014. |
dc.identifier.uri.fl_str_mv |
http://repositorio.bc.ufg.br/tede/handle/tede/3956 |
dc.identifier.dark.fl_str_mv |
ark:/38995/0013000002057 |
identifier_str_mv |
GUIMARÃES, Paulo Henrique Ramos. Parâmetros genéticos e fenotípicos em arroz irrigado estimados por método de análise espacial. 2014. 76 f. Dissertação (Mestrado em Genética e Melhoramento de Plantas) - Universidade Federal de Goiás, Goiânia, 2014. ark:/38995/0013000002057 |
url |
http://repositorio.bc.ufg.br/tede/handle/tede/3956 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.program.fl_str_mv |
1167494949003462214 |
dc.relation.confidence.fl_str_mv |
600 600 600 600 |
dc.relation.department.fl_str_mv |
4500684695727928426 |
dc.relation.cnpq.fl_str_mv |
-3091138714907603907 |
dc.relation.sponsorship.fl_str_mv |
2075167498588264571 |
dc.rights.driver.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.publisher.program.fl_str_mv |
Programa de Pós-graduação em Genetica e Melhoramentode Plantas |
dc.publisher.initials.fl_str_mv |
UFG |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
Escola de Agronomia e Engenharia de Alimentos - EAEA (RG) |
publisher.none.fl_str_mv |
Universidade Federal de Goiás |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFG instname:Universidade Federal de Goiás (UFG) instacron:UFG |
instname_str |
Universidade Federal de Goiás (UFG) |
instacron_str |
UFG |
institution |
UFG |
reponame_str |
Repositório Institucional da UFG |
collection |
Repositório Institucional da UFG |
bitstream.url.fl_str_mv |
http://repositorio.bc.ufg.br/tede/bitstreams/19ea6e27-6daa-4c00-9ac7-fc86232ed233/download http://repositorio.bc.ufg.br/tede/bitstreams/9a52f7da-53b2-4a47-846f-4c2f04bc1205/download http://repositorio.bc.ufg.br/tede/bitstreams/b264cfb0-486f-4ff8-9bec-ae2019165ffa/download http://repositorio.bc.ufg.br/tede/bitstreams/a2a0cbd6-36c5-42ed-916a-7260ffbefb48/download http://repositorio.bc.ufg.br/tede/bitstreams/ee319b22-72c3-43db-8ea3-41fe21951009/download http://repositorio.bc.ufg.br/tede/bitstreams/695aeaed-f55d-4fc2-801f-4f851a48c602/download http://repositorio.bc.ufg.br/tede/bitstreams/c833f4f3-f789-4cbd-bf6d-45d2a57fac9f/download |
bitstream.checksum.fl_str_mv |
862883b307a6231b2a7f63d38c9f03ea bd3efa91386c1718a7f26a329fdcb468 4afdbb8c545fd630ea7db775da747b2f 29b9d5e95be03707f9d4a2e110421c11 9da0b6dfac957114c6a7714714b86306 0bcbac70dbccb66cb7adf254b5af7a2d cc73c4c239a4c332d642ba1e7c7a9fb2 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFG - Universidade Federal de Goiás (UFG) |
repository.mail.fl_str_mv |
tasesdissertacoes.bc@ufg.br |
_version_ |
1813816867981099008 |