Physico-chemical characterization of banana varieties resistant to black leaf streak disease for industrial purposes
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , |
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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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 |
repository.name.fl_str_mv |
|
repository.mail.fl_str_mv |
|
_version_ |
1749140550483705857 |