Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner
Autor(a) principal: | |
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Data de Publicação: | 2017 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Coffee Science (Online) |
Texto Completo: | https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295 |
Resumo: | Although normally measured in classes, fruit ripening cycle is a complex trait with expression governed by several genes influenced by the environment, which results in a quantitative trait of the continuous distribution. This study aimed to characterize the genetic components of Coffea canephora fruits ripening cycle in order to quantify the genotypic and environmental effects in the expression of this trait. The number of days and the thermal time for fruit ripening of 130 clones were evaluated over 36 months in design of randomized blocks with six replicates of four plants per plot in OuroPreto do Oeste - RO. The genotypic values and the variance components were estimated using methods of Restricted Maximum Likelihood (REML) and Best Linear not Unbiased Prediction (BLUP) and the dissimilarity among genotypes quantified using hierarchical clustering techniques. Estimates of genetic parameters indicate greater accuracy of thermal time to estimate the fruit ripening cycle, and a predominance of the genotypic effect on the expression of this trait. In the dendrogram it was possible to observe three different fruit ripening groups, which maintained over time. They were also observed genotypes (20%) that changed their classification due to the environmental effect. The observed efficiency of selection associated and the clustering of genotypes with similar ripening cycles subsidize the development of new varieties. |
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Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. FroehnerComponentes genéticos do desenvolvimento e maturação de frutos de Coffea canephora Pierre ex A.FroehnerRipening cycleaccuracy of selectionthermal timeAmazonianRondôniaciclo de maturaçãoacurácia de seleçãosoma térmicaAmazôniaRondôniaAlthough normally measured in classes, fruit ripening cycle is a complex trait with expression governed by several genes influenced by the environment, which results in a quantitative trait of the continuous distribution. This study aimed to characterize the genetic components of Coffea canephora fruits ripening cycle in order to quantify the genotypic and environmental effects in the expression of this trait. The number of days and the thermal time for fruit ripening of 130 clones were evaluated over 36 months in design of randomized blocks with six replicates of four plants per plot in OuroPreto do Oeste - RO. The genotypic values and the variance components were estimated using methods of Restricted Maximum Likelihood (REML) and Best Linear not Unbiased Prediction (BLUP) and the dissimilarity among genotypes quantified using hierarchical clustering techniques. Estimates of genetic parameters indicate greater accuracy of thermal time to estimate the fruit ripening cycle, and a predominance of the genotypic effect on the expression of this trait. In the dendrogram it was possible to observe three different fruit ripening groups, which maintained over time. They were also observed genotypes (20%) that changed their classification due to the environmental effect. The observed efficiency of selection associated and the clustering of genotypes with similar ripening cycles subsidize the development of new varieties.O ciclo de maturação dos frutos do cafeeiro Coffea canephora é uma característica de herança complexa, de expressão governada por vários genes influenciados pelo ambiente, o que resulta em uma característica quantitativa de distribuição contínua. O objetivo desse trabalho foi caracterizar os componentes genéticos do ciclo de maturação dos frutos de C. canephora visando caracterizar o mecanismo de herança e a influência do ambiente na expressão dessa característica. Para isso foram avaliados o número de dias e a soma térmica para a maturação dos frutos de 130 clones, avaliados ao longo de 36 meses, em delineamento de blocos ao acaso com seis repetições de quatro plantas por parcela no município de Ouro Preto do Oeste - RO. Os valores genotípicos e os componentes de variância foram estimados utilizando-se métodos de Máxima Verossimilhança Restrita (REML) e Melhor Predição Linear Não Viesada (BLUP) e a dissimilaridade entre os genótipos quantificada utilizando técnicas de agrupamento hierárquico. As estimativas dos parâmetros genéticos indicam maior acurácia da soma térmica para estimar o ciclo de maturação dos frutos, e uma predominância do efeito genotípico na expressão dessa característica. No dendrograma foi possível observar três grupos de maturação distintos que se mantiveram ao longo do tempo. Também foram observados genótipos (20%) que apresentaram mudanças em sua classificação devido à ação do ambiente. A quantificação da eficiência da seleção e o agrupamento dos clones de ciclo de maturação semelhante subsidiam o desenvolvimento de novas variedades de maior uniformidade de maturação de frutos.Editora UFLA2017-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documentapplication/mswordhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295Coffee Science - ISSN 1984-3909; Vol. 12 No. 3 (2017); 355 - 364Coffee Science; Vol. 12 Núm. 3 (2017); 355 - 364Coffee Science; v. 12 n. 3 (2017); 355 - 3641984-3909reponame:Coffee Science (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLAporhttps://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/pdf_1295https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1758https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1759https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1760Copyright (c) 2017 Coffee Science - ISSN 1984-3909https://creativecommons.org/info:eu-repo/semantics/openAccessde Souza, Carolina AugustoRocha, Rodrigo BarrosAlves, Enrique AnastácioEspindula, Marcelo CuritibaRamalho, André RostandTeixeira, Alexsandro LaraFerrão, Maria Amélia Gava2017-09-06T14:09:44Zoai:coffeescience.ufla.br:article/1295Revistahttps://coffeescience.ufla.br/index.php/CoffeesciencePUBhttps://coffeescience.ufla.br/index.php/Coffeescience/oaicoffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com1984-39091809-6875opendoar:2024-05-21T19:54:01.993676Coffee Science (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner Componentes genéticos do desenvolvimento e maturação de frutos de Coffea canephora Pierre ex A.Froehner |
title |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
spellingShingle |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner de Souza, Carolina Augusto Ripening cycle accuracy of selection thermal time Amazonian Rondônia ciclo de maturação acurácia de seleção soma térmica Amazônia Rondônia |
title_short |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
title_full |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
title_fullStr |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
title_full_unstemmed |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
title_sort |
Genetic Components for fruit development and ripening of Coffea canephora pierre ex A. Froehner |
author |
de Souza, Carolina Augusto |
author_facet |
de Souza, Carolina Augusto Rocha, Rodrigo Barros Alves, Enrique Anastácio Espindula, Marcelo Curitiba Ramalho, André Rostand Teixeira, Alexsandro Lara Ferrão, Maria Amélia Gava |
author_role |
author |
author2 |
Rocha, Rodrigo Barros Alves, Enrique Anastácio Espindula, Marcelo Curitiba Ramalho, André Rostand Teixeira, Alexsandro Lara Ferrão, Maria Amélia Gava |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
de Souza, Carolina Augusto Rocha, Rodrigo Barros Alves, Enrique Anastácio Espindula, Marcelo Curitiba Ramalho, André Rostand Teixeira, Alexsandro Lara Ferrão, Maria Amélia Gava |
dc.subject.por.fl_str_mv |
Ripening cycle accuracy of selection thermal time Amazonian Rondônia ciclo de maturação acurácia de seleção soma térmica Amazônia Rondônia |
topic |
Ripening cycle accuracy of selection thermal time Amazonian Rondônia ciclo de maturação acurácia de seleção soma térmica Amazônia Rondônia |
description |
Although normally measured in classes, fruit ripening cycle is a complex trait with expression governed by several genes influenced by the environment, which results in a quantitative trait of the continuous distribution. This study aimed to characterize the genetic components of Coffea canephora fruits ripening cycle in order to quantify the genotypic and environmental effects in the expression of this trait. The number of days and the thermal time for fruit ripening of 130 clones were evaluated over 36 months in design of randomized blocks with six replicates of four plants per plot in OuroPreto do Oeste - RO. The genotypic values and the variance components were estimated using methods of Restricted Maximum Likelihood (REML) and Best Linear not Unbiased Prediction (BLUP) and the dissimilarity among genotypes quantified using hierarchical clustering techniques. Estimates of genetic parameters indicate greater accuracy of thermal time to estimate the fruit ripening cycle, and a predominance of the genotypic effect on the expression of this trait. In the dendrogram it was possible to observe three different fruit ripening groups, which maintained over time. They were also observed genotypes (20%) that changed their classification due to the environmental effect. The observed efficiency of selection associated and the clustering of genotypes with similar ripening cycles subsidize the development of new varieties. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-09-06 |
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://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295 |
url |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/pdf_1295 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1758 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1759 https://coffeescience.ufla.br/index.php/Coffeescience/article/view/1295/1760 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2017 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2017 Coffee Science - ISSN 1984-3909 https://creativecommons.org/ |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document application/msword |
dc.publisher.none.fl_str_mv |
Editora UFLA |
publisher.none.fl_str_mv |
Editora UFLA |
dc.source.none.fl_str_mv |
Coffee Science - ISSN 1984-3909; Vol. 12 No. 3 (2017); 355 - 364 Coffee Science; Vol. 12 Núm. 3 (2017); 355 - 364 Coffee Science; v. 12 n. 3 (2017); 355 - 364 1984-3909 reponame:Coffee Science (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Coffee Science (Online) |
collection |
Coffee Science (Online) |
repository.name.fl_str_mv |
Coffee Science (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
coffeescience@dag.ufla.br||coffeescience@dag.ufla.br|| alvaro-cozadi@hotmail.com |
_version_ |
1799874921053028352 |