Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes

Detalhes bibliográficos
Autor(a) principal: Godoy,Rossana Catie Bueno de
Data de Publicação: 2016
Outros Autores: Waszczynskj,Nina, Santana,Fernanda Alves, Silva,Sebastião de Oliveira e, Oliveira,Luciana Alves de, Santos,Guilherme Godoy dos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901514
Resumo: ABSTRACT: Cultivated bananas have very low genetic diversity making them vulnerable to diseases such as black-Sigatoka leaf spot. However, the decision to adopt a new banana variety needs to be based on a robust evaluation of agronomical and physical-chemical characteristics. Here, we characterize new banana varieties resistant to black-Sigatoka leaf spot and compare them to the most widely used traditional variety (Grand Naine). Each variety was evaluated for a range of physic-chemical attributes associated with industrial processing and flavor: pH, TTA, TSS/TTA, total sugars, reducing sugars and non-reducing sugars, humidity, total solids and yield. The Thap Maeo variety had the highest potential as a substitute for the Grand Naine variety, having higher levels of total soluble solids, reducing sugars, total sugars and humidity. The Caipira and FHIA 2 varieties also performed well in comparison with the Grand Naine variety. Cluster analysis indicated that the Grand Naine variety was closely associated with varieties from the Gross Michel subgroup (Bucaneiro, Ambrosia and Calipso) and the Caipira variety, all of which come from the same AAA genomic group. It was concluded that several of the new resistant varieties could potentially substitute the traditional variety in areas affected by black-Sigatoka leaf spot disease.
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spelling Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes Musa spp.postharvestraw materialaptitudemultivariate analysis.ABSTRACT: Cultivated bananas have very low genetic diversity making them vulnerable to diseases such as black-Sigatoka leaf spot. However, the decision to adopt a new banana variety needs to be based on a robust evaluation of agronomical and physical-chemical characteristics. Here, we characterize new banana varieties resistant to black-Sigatoka leaf spot and compare them to the most widely used traditional variety (Grand Naine). Each variety was evaluated for a range of physic-chemical attributes associated with industrial processing and flavor: pH, TTA, TSS/TTA, total sugars, reducing sugars and non-reducing sugars, humidity, total solids and yield. The Thap Maeo variety had the highest potential as a substitute for the Grand Naine variety, having higher levels of total soluble solids, reducing sugars, total sugars and humidity. The Caipira and FHIA 2 varieties also performed well in comparison with the Grand Naine variety. Cluster analysis indicated that the Grand Naine variety was closely associated with varieties from the Gross Michel subgroup (Bucaneiro, Ambrosia and Calipso) and the Caipira variety, all of which come from the same AAA genomic group. It was concluded that several of the new resistant varieties could potentially substitute the traditional variety in areas affected by black-Sigatoka leaf spot disease.Universidade Federal de Santa Maria2016-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901514Ciência Rural v.46 n.9 2016reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/0103-8478cr20150905info:eu-repo/semantics/openAccessGodoy,Rossana Catie Bueno deWaszczynskj,NinaSantana,Fernanda AlvesSilva,Sebastião de Oliveira eOliveira,Luciana Alves deSantos,Guilherme Godoy doseng2016-08-12T00:00:00ZRevista
dc.title.none.fl_str_mv Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
title Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
spellingShingle Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
Godoy,Rossana Catie Bueno de
Musa spp.
postharvest
raw material
aptitude
multivariate analysis.
title_short Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
title_full Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
title_fullStr Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
title_full_unstemmed Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
title_sort Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
author Godoy,Rossana Catie Bueno de
author_facet Godoy,Rossana Catie Bueno de
Waszczynskj,Nina
Santana,Fernanda Alves
Silva,Sebastião de Oliveira e
Oliveira,Luciana Alves de
Santos,Guilherme Godoy dos
author_role author
author2 Waszczynskj,Nina
Santana,Fernanda Alves
Silva,Sebastião de Oliveira e
Oliveira,Luciana Alves de
Santos,Guilherme Godoy dos
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Godoy,Rossana Catie Bueno de
Waszczynskj,Nina
Santana,Fernanda Alves
Silva,Sebastião de Oliveira e
Oliveira,Luciana Alves de
Santos,Guilherme Godoy dos
dc.subject.por.fl_str_mv Musa spp.
postharvest
raw material
aptitude
multivariate analysis.
topic Musa spp.
postharvest
raw material
aptitude
multivariate analysis.
description ABSTRACT: Cultivated bananas have very low genetic diversity making them vulnerable to diseases such as black-Sigatoka leaf spot. However, the decision to adopt a new banana variety needs to be based on a robust evaluation of agronomical and physical-chemical characteristics. Here, we characterize new banana varieties resistant to black-Sigatoka leaf spot and compare them to the most widely used traditional variety (Grand Naine). Each variety was evaluated for a range of physic-chemical attributes associated with industrial processing and flavor: pH, TTA, TSS/TTA, total sugars, reducing sugars and non-reducing sugars, humidity, total solids and yield. The Thap Maeo variety had the highest potential as a substitute for the Grand Naine variety, having higher levels of total soluble solids, reducing sugars, total sugars and humidity. The Caipira and FHIA 2 varieties also performed well in comparison with the Grand Naine variety. Cluster analysis indicated that the Grand Naine variety was closely associated with varieties from the Gross Michel subgroup (Bucaneiro, Ambrosia and Calipso) and the Caipira variety, all of which come from the same AAA genomic group. It was concluded that several of the new resistant varieties could potentially substitute the traditional variety in areas affected by black-Sigatoka leaf spot disease.
publishDate 2016
dc.date.none.fl_str_mv 2016-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901514
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782016000901514
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0103-8478cr20150905
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.46 n.9 2016
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
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repository.mail.fl_str_mv
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