PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES
Autor(a) principal: | |
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Data de Publicação: | 1998 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Pesquisa Agropecuária Gaúcha (Online) |
Texto Completo: | http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506 |
Resumo: | Twenty-five bean genotypes were evaluated in Lages, Santa Catarina, studying the influente of seven characters of agronomic importance on thc grain production per unit arca. The experiment, in randomized blocks with three replications per treatment, was conducted in the growing season of 1995/96 (November — January). The objectives of this work were: I ) estimate the direct and indirect effects among the primary yield components and plant diseases, through path analysis; 2) esti mate'the association intensity among the primary yield components and the main bean diseases; 3) estimate the genetic divergente of twenty-five black bean genotypes, using Mahalanobis statistics. The first group of variables (primary components) was composed by the number of pods per plant, number of grains per pod and 1000 grains weight; the second group (secondary components), by the characters of plant diseases such as leaf antrocnosis, pod antrocnosis, leaf bacterias and leaf rust. The canonical correlation analysis showed the importance of the component plant disease over the primar) , ones. The results of the path analysis showed the importance of the number of pods per plant and 1000 grains weight, which presented the largest direct effects and a high phenotypic correlation with grain yield. The Mahalanobis analysis made possible to discriminate the black bean genotypes regarding their degree of genetic similarity. It was also evidenced the wide genetic variability for all the evaluated characters, especially for the number of pods per plant, number of grains per pod, and leaf rust. Dueto the wide genetic variability observed, the use of these genotypes (genetically distant) in programs of bean genetic improvement using artificial hybridization, certainly would not cause any narrowing of the genetic basis (genetic erosion). |
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PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES COEFICIENTES DE TRILHA, CORRELAÇÕES CANÔNICAS E DIVERGÊNCIA GENÉTICA: II. ENTRE CARACTERES PRIMÁRIOS E FITOSSANITÁRIOS EM GENÓTIPOS DE FEIJÃO PRETO (Phaartificial hybridization, genetic variability, yield components.hibridação artificial, variabilidade genética, doença-feijão, componentes do rendimentoTwenty-five bean genotypes were evaluated in Lages, Santa Catarina, studying the influente of seven characters of agronomic importance on thc grain production per unit arca. The experiment, in randomized blocks with three replications per treatment, was conducted in the growing season of 1995/96 (November — January). The objectives of this work were: I ) estimate the direct and indirect effects among the primary yield components and plant diseases, through path analysis; 2) esti mate'the association intensity among the primary yield components and the main bean diseases; 3) estimate the genetic divergente of twenty-five black bean genotypes, using Mahalanobis statistics. The first group of variables (primary components) was composed by the number of pods per plant, number of grains per pod and 1000 grains weight; the second group (secondary components), by the characters of plant diseases such as leaf antrocnosis, pod antrocnosis, leaf bacterias and leaf rust. The canonical correlation analysis showed the importance of the component plant disease over the primar) , ones. The results of the path analysis showed the importance of the number of pods per plant and 1000 grains weight, which presented the largest direct effects and a high phenotypic correlation with grain yield. The Mahalanobis analysis made possible to discriminate the black bean genotypes regarding their degree of genetic similarity. It was also evidenced the wide genetic variability for all the evaluated characters, especially for the number of pods per plant, number of grains per pod, and leaf rust. Dueto the wide genetic variability observed, the use of these genotypes (genetically distant) in programs of bean genetic improvement using artificial hybridization, certainly would not cause any narrowing of the genetic basis (genetic erosion). Vinte e cinco genótipos de feijão foram avaliados em Lages/SC, através de sete caracteres de importância agronômica sobre a produtividade de grãos por unidade de área. O experimento, em blocos casualizados com três repetições, foi conduzido no período de safra (novembro a janeiro) do ano agrícola de 1995/96. Os objetivos do trabalho foram: 1) estimar os efeitos diretos e indiretos entre os caracteres primários do rendimento de grãos e fitossanitários, através da análise de trilha; 2) determinar a intensidade de associação entre os componentes primários do rendimento de grãos e as principais doenças de feijão; 3) computar a divergência genética de vinte e cinco genótipos de feijão preto, através da estatística de Mahalanobis. O primeiro grupo de variáveis (componentes primários) era formado pelo número de legumes por planta, número de grãos por legume e peso de mil grãos; o segundo grupo (componentes secundários), pelos caracteres fitossanitários como antracnose da folha, antracnose do legume, bacteriose da folha e ferrugem da folha. Pela análise das correlações canônicas, ficou evidenciada a importância dos componentes fitossanitários sobre os primários. Os resultados obtidos pela análise de trilha revelaram a importância dos caracteres número de legumes por planta e peso de mil grãos, uma vez que os mesmos apresentaram os maiores efeitos diretos e alta correlação fenotípica com o rendimento de grãos. A estatística de Mahalanobis possibilitou identificar os genótipos de feijão preto quanto ao grau de similaridade genética. Ficou evidenciada ampla variabilidade genética para todos os caracteres avaliados, principalmente, para o número de legumes por planta, ferrugem da folha e número de grãos por legume, comparativamente. Devido a ampla variabilidade genética detectada, o emprego de genótipos de feijão, distante geneticamente, em programas de melhoramento que utilizam a hibridação artificial, certamente não levaria a um estreitamento da base genética (erosão genética). Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural1998-12-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontextoapplication/pdfhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506Pesquisa Agropecuária Gaúcha; Vol 4 No 2 (1998): PESQ. AGROP. GAÚCHA; 195-201Pesquisa Agropecuária Gaúcha; v. 4 n. 2 (1998): PESQ. AGROP. GAÚCHA; 195-2012595-76860104-9070reponame:Pesquisa Agropecuária Gaúcha (Online)instname:Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sulinstacron:SEAPDRporhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506/470COIMBRA, JEFFERSON LUÍS MEIRELLES COIMBRA, SILVANA MANFREDI MEIRELLES CARVALHO, FERNANDO IRAJÁ FELIXOLIVEIRA, ANTÔNIO COSTAinfo:eu-repo/semantics/openAccess2024-04-22T12:04:11Zoai:ojs.revistapag.agricultura.rs.gov.br:article/506Revistahttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapagPUBhttp://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/oaipag@agricultura.rs.gov.br||2595-76860104-9070opendoar:2024-04-22T12:04:11Pesquisa Agropecuária Gaúcha (Online) - Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sulfalse |
dc.title.none.fl_str_mv |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES COEFICIENTES DE TRILHA, CORRELAÇÕES CANÔNICAS E DIVERGÊNCIA GENÉTICA: II. ENTRE CARACTERES PRIMÁRIOS E FITOSSANITÁRIOS EM GENÓTIPOS DE FEIJÃO PRETO (Pha |
title |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
spellingShingle |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES COIMBRA, JEFFERSON LUÍS MEIRELLES artificial hybridization, genetic variability, yield components. hibridação artificial, variabilidade genética, doença-feijão, componentes do rendimento |
title_short |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
title_full |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
title_fullStr |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
title_full_unstemmed |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
title_sort |
PATH ANALYSIS, CANONICAL CORRELATIONS AND GENETIC DIVERGENCE: II. AMONG PRIMARY AND DISEASE CHARACTERS IN BLACK BEAN (Phaseolus vulgaris L.) GENOTYPES |
author |
COIMBRA, JEFFERSON LUÍS MEIRELLES |
author_facet |
COIMBRA, JEFFERSON LUÍS MEIRELLES COIMBRA, SILVANA MANFREDI MEIRELLES CARVALHO, FERNANDO IRAJÁ FELIX OLIVEIRA, ANTÔNIO COSTA |
author_role |
author |
author2 |
COIMBRA, SILVANA MANFREDI MEIRELLES CARVALHO, FERNANDO IRAJÁ FELIX OLIVEIRA, ANTÔNIO COSTA |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
COIMBRA, JEFFERSON LUÍS MEIRELLES COIMBRA, SILVANA MANFREDI MEIRELLES CARVALHO, FERNANDO IRAJÁ FELIX OLIVEIRA, ANTÔNIO COSTA |
dc.subject.por.fl_str_mv |
artificial hybridization, genetic variability, yield components. hibridação artificial, variabilidade genética, doença-feijão, componentes do rendimento |
topic |
artificial hybridization, genetic variability, yield components. hibridação artificial, variabilidade genética, doença-feijão, componentes do rendimento |
description |
Twenty-five bean genotypes were evaluated in Lages, Santa Catarina, studying the influente of seven characters of agronomic importance on thc grain production per unit arca. The experiment, in randomized blocks with three replications per treatment, was conducted in the growing season of 1995/96 (November — January). The objectives of this work were: I ) estimate the direct and indirect effects among the primary yield components and plant diseases, through path analysis; 2) esti mate'the association intensity among the primary yield components and the main bean diseases; 3) estimate the genetic divergente of twenty-five black bean genotypes, using Mahalanobis statistics. The first group of variables (primary components) was composed by the number of pods per plant, number of grains per pod and 1000 grains weight; the second group (secondary components), by the characters of plant diseases such as leaf antrocnosis, pod antrocnosis, leaf bacterias and leaf rust. The canonical correlation analysis showed the importance of the component plant disease over the primar) , ones. The results of the path analysis showed the importance of the number of pods per plant and 1000 grains weight, which presented the largest direct effects and a high phenotypic correlation with grain yield. The Mahalanobis analysis made possible to discriminate the black bean genotypes regarding their degree of genetic similarity. It was also evidenced the wide genetic variability for all the evaluated characters, especially for the number of pods per plant, number of grains per pod, and leaf rust. Dueto the wide genetic variability observed, the use of these genotypes (genetically distant) in programs of bean genetic improvement using artificial hybridization, certainly would not cause any narrowing of the genetic basis (genetic erosion). |
publishDate |
1998 |
dc.date.none.fl_str_mv |
1998-12-26 |
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 |
http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506 |
url |
http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://revistapag.agricultura.rs.gov.br/ojs/index.php/revistapag/article/view/506/470 |
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 |
Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural |
publisher.none.fl_str_mv |
Departamento de Diagnóstico e Pesquisa Agropecuária. Secretaria de Agricultura, Pecuária e Desenvolvimento Rural |
dc.source.none.fl_str_mv |
Pesquisa Agropecuária Gaúcha; Vol 4 No 2 (1998): PESQ. AGROP. GAÚCHA; 195-201 Pesquisa Agropecuária Gaúcha; v. 4 n. 2 (1998): PESQ. AGROP. GAÚCHA; 195-201 2595-7686 0104-9070 reponame:Pesquisa Agropecuária Gaúcha (Online) instname:Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul instacron:SEAPDR |
instname_str |
Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul |
instacron_str |
SEAPDR |
institution |
SEAPDR |
reponame_str |
Pesquisa Agropecuária Gaúcha (Online) |
collection |
Pesquisa Agropecuária Gaúcha (Online) |
repository.name.fl_str_mv |
Pesquisa Agropecuária Gaúcha (Online) - Secretaria de Agricultura, Pecuária e Desenvolvimento Rural do Rio Grande do Sul |
repository.mail.fl_str_mv |
pag@agricultura.rs.gov.br|| |
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1797068773698568192 |