Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm.
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1096055 |
Resumo: | Plantains in Brazil are produced from the `Terra Maranhão?, ?Terrinha? and ?D´Angola? cultivars, which are all susceptible to black Sigatoka, weevils and nematodes. Therefore, the development of resistant plantain cultivars with agronomic characteristics aligned with market demands is the most efficient way to overcome these barriers regarding fruit production. The objectives of this work were to evaluate plantain cultivars for agronomic and physicochemical characteristics, and to estimate their genetic variability using ISSR molecular markers. The experimental design used was randomized block with ten plantain genotypes distributed in five blocks with four plants per plot. Ten agronomic and five physicochemical characteristics were measured. The agronomic, physicochemical and molecular (ISSR) characteristics were analyzed together using the Ward-MLM algorithm. Based on the agronomic and physicochemical evaluations, the ?Red Yad?, ?Curare Enano? and ?Chifre de Vaca? genotypes could potentially be recommended to farmers, especially due to their short height and higher bunch mass and number of hands. The analysis of the combined data using the Ward-MLM algorithm identified genetic variability that, although restricted, can be used for genetic improvement strategies. To the best of our knowledge this is the first work that validates new plantains under Brazilian conditions, increasing cultivar options for farmers. |
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Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm.BananaPlátanoPlantains (fruit)Plantains in Brazil are produced from the `Terra Maranhão?, ?Terrinha? and ?D´Angola? cultivars, which are all susceptible to black Sigatoka, weevils and nematodes. Therefore, the development of resistant plantain cultivars with agronomic characteristics aligned with market demands is the most efficient way to overcome these barriers regarding fruit production. The objectives of this work were to evaluate plantain cultivars for agronomic and physicochemical characteristics, and to estimate their genetic variability using ISSR molecular markers. The experimental design used was randomized block with ten plantain genotypes distributed in five blocks with four plants per plot. Ten agronomic and five physicochemical characteristics were measured. The agronomic, physicochemical and molecular (ISSR) characteristics were analyzed together using the Ward-MLM algorithm. Based on the agronomic and physicochemical evaluations, the ?Red Yad?, ?Curare Enano? and ?Chifre de Vaca? genotypes could potentially be recommended to farmers, especially due to their short height and higher bunch mass and number of hands. The analysis of the combined data using the Ward-MLM algorithm identified genetic variability that, although restricted, can be used for genetic improvement strategies. To the best of our knowledge this is the first work that validates new plantains under Brazilian conditions, increasing cultivar options for farmers.Z. S. GONÇALVES, UFRB; D. R. S. DA INVENÇÃO, UFRB; CARLOS ALBERTO DA SILVA LEDO, CNPMF; CLAUDIA FORTES FERREIRA, CNPMF; EDSON PERITO AMORIM, CNPMF.GONÇALVES, Z. S.INVENÇÃO, D. R. S. DALEDO, C. A. da S.FERREIRA, C. F.AMORIM, E. P.2018-09-20T00:58:59Z2018-09-20T00:58:59Z2018-09-1920182018-09-20T00:58:59Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Research, v.17, n. 1, gmr16039882, February, 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1096055enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2018-09-20T00:59:06Zoai:www.alice.cnptia.embrapa.br:doc/1096055Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542018-09-20T00:59:06falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542018-09-20T00:59:06Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
title |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
spellingShingle |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. GONÇALVES, Z. S. Banana Plátano Plantains (fruit) |
title_short |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
title_full |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
title_fullStr |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
title_full_unstemmed |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
title_sort |
Agronomic performance of plantain genotypes and genetic variability using Ward-MLM algorithm. |
author |
GONÇALVES, Z. S. |
author_facet |
GONÇALVES, Z. S. INVENÇÃO, D. R. S. DA LEDO, C. A. da S. FERREIRA, C. F. AMORIM, E. P. |
author_role |
author |
author2 |
INVENÇÃO, D. R. S. DA LEDO, C. A. da S. FERREIRA, C. F. AMORIM, E. P. |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Z. S. GONÇALVES, UFRB; D. R. S. DA INVENÇÃO, UFRB; CARLOS ALBERTO DA SILVA LEDO, CNPMF; CLAUDIA FORTES FERREIRA, CNPMF; EDSON PERITO AMORIM, CNPMF. |
dc.contributor.author.fl_str_mv |
GONÇALVES, Z. S. INVENÇÃO, D. R. S. DA LEDO, C. A. da S. FERREIRA, C. F. AMORIM, E. P. |
dc.subject.por.fl_str_mv |
Banana Plátano Plantains (fruit) |
topic |
Banana Plátano Plantains (fruit) |
description |
Plantains in Brazil are produced from the `Terra Maranhão?, ?Terrinha? and ?D´Angola? cultivars, which are all susceptible to black Sigatoka, weevils and nematodes. Therefore, the development of resistant plantain cultivars with agronomic characteristics aligned with market demands is the most efficient way to overcome these barriers regarding fruit production. The objectives of this work were to evaluate plantain cultivars for agronomic and physicochemical characteristics, and to estimate their genetic variability using ISSR molecular markers. The experimental design used was randomized block with ten plantain genotypes distributed in five blocks with four plants per plot. Ten agronomic and five physicochemical characteristics were measured. The agronomic, physicochemical and molecular (ISSR) characteristics were analyzed together using the Ward-MLM algorithm. Based on the agronomic and physicochemical evaluations, the ?Red Yad?, ?Curare Enano? and ?Chifre de Vaca? genotypes could potentially be recommended to farmers, especially due to their short height and higher bunch mass and number of hands. The analysis of the combined data using the Ward-MLM algorithm identified genetic variability that, although restricted, can be used for genetic improvement strategies. To the best of our knowledge this is the first work that validates new plantains under Brazilian conditions, increasing cultivar options for farmers. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-20T00:58:59Z 2018-09-20T00:58:59Z 2018-09-19 2018 2018-09-20T00:58:59Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Genetics and Molecular Research, v.17, n. 1, gmr16039882, February, 2018. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1096055 |
identifier_str_mv |
Genetics and Molecular Research, v.17, n. 1, gmr16039882, February, 2018. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1096055 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503462624428032 |