Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress

Detalhes bibliográficos
Autor(a) principal: Carvalho, Luísa
Data de Publicação: 2020
Outros Autores: Gonçalves, Elsa, Amâncio, Sara, Martins, Antero
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/21337
Resumo: Original Research
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spelling Selecting Aragonez genotypes able to outplay climate change-driven abiotic stressabiotic stress toleranceempirical best linear unbiased predictors (EBLUP of genotypic effects),polyclonal selectionquality of the mustRT-qPCROriginal ResearchHigh temperatures and extreme drought are increasingly more frequent in Portugal, which represents a strong threat to viticulture in certain regions of the country. These multifactorial abiotic stresses are threatening viticultural areas worldwide, and the problem can hardly be overcome only by changing cultural practices. This scenario has raised a major challenge for plant scientists to find ways to adapt existing varieties to the new conditions without loss of their characteristic flavors, yield, and associated varietal character of wines. Aragonez (syn. Tempranillo) is one such variety, widely cultivated in Portugal and Spain, with specific characteristics associated with terroir. In this context, insight into intravarietal variability to enable its exploitation for selection becomes an important tool to mitigate the effect of multifactorial stresses driven by climate changes. The present work describes an innovative selection approach: selection for abiotic stress tolerance, measured by the leaf temperature of clones under environmental conditions of drought and extreme heat. This evaluation was complemented with values of yield and quality characteristics of the must (pH, acidity, Brix, and anthocyanins). The application of this methodology was done in an experimental population of 255 clones of Tempranillo for 3 years. The genotypes were then ranked according to their level of tolerance to abiotic stress without loss of yield/quality. To understand the differences at the transcription level that could account for such variability, several of the most tolerant and most sensitive genotypes were analyzed for key genes using reverse transcriptase– quantitative polymerase chain reaction. The results enabled the selection of a group of genotypes with increased tolerance to stress, in relation to the average of the variety, which maintained the typical must quality of Aragonez. In parallel, several transcripts previously acknowledged as markers for abiotic stress tolerance were identified in several clones and are possible targets for plant breeding and genetic modification and/or to develop screening procedures to select genotypes better adapted to the abiotic stress driven by climate changeFrontiers in Plant ScienceRepositório da Universidade de LisboaCarvalho, LuísaGonçalves, ElsaAmâncio, SaraMartins, Antero2021-05-24T14:35:26Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/21337engCarvalho L, Gonçalves E, Amâncio S and Martins A (2020) Selecting Aragonez Genotypes Able to Outplay Climate Change–Driven Abiotic Stress. Front. Plant Sci. 11:59923010.3389/fpls.2020.599230info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:50:46Zoai:www.repository.utl.pt:10400.5/21337Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:05:56.524281Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
title Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
spellingShingle Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
Carvalho, Luísa
abiotic stress tolerance
empirical best linear unbiased predictors (EBLUP of genotypic effects),
polyclonal selection
quality of the must
RT-qPCR
title_short Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
title_full Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
title_fullStr Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
title_full_unstemmed Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
title_sort Selecting Aragonez genotypes able to outplay climate change-driven abiotic stress
author Carvalho, Luísa
author_facet Carvalho, Luísa
Gonçalves, Elsa
Amâncio, Sara
Martins, Antero
author_role author
author2 Gonçalves, Elsa
Amâncio, Sara
Martins, Antero
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Carvalho, Luísa
Gonçalves, Elsa
Amâncio, Sara
Martins, Antero
dc.subject.por.fl_str_mv abiotic stress tolerance
empirical best linear unbiased predictors (EBLUP of genotypic effects),
polyclonal selection
quality of the must
RT-qPCR
topic abiotic stress tolerance
empirical best linear unbiased predictors (EBLUP of genotypic effects),
polyclonal selection
quality of the must
RT-qPCR
description Original Research
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-05-24T14:35:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/21337
url http://hdl.handle.net/10400.5/21337
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Carvalho L, Gonçalves E, Amâncio S and Martins A (2020) Selecting Aragonez Genotypes Able to Outplay Climate Change–Driven Abiotic Stress. Front. Plant Sci. 11:599230
10.3389/fpls.2020.599230
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 Frontiers in Plant Science
publisher.none.fl_str_mv Frontiers in Plant Science
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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