Proposal of descriptors for the characterisation of Jatropha curcas

Detalhes bibliográficos
Autor(a) principal: Reis,Marcus Vinícius Magro dos
Data de Publicação: 2022
Outros Autores: Damasceno Junior,Pedro Corrêa, Dias,Luiz Antônio dos Santos, Antoniassi,Rosemar, Pinto,Tatiana de Oliveira, Abboud,Antônio Carlos de Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100426
Resumo: ABSTRACT Despite the importance of the physic nut (Jatropha curcas) in biodiesel production, knowledge of its genetic variability is still in the early stages, with the development of descriptors bring essential to achieving this goal. The aim of this study, therefore, was to propose and develop a list of standardised and tested descriptors, and to indicate those that make the greatest contribution to characterising the physic nut. Fifty-three morphological and reproductive descriptors of a quantitative, multi-category or binary nature were proposed. Descriptive estimates were obtained from among the descriptors. Using PCA, highly correlated descriptors were discarded. Then, the descriptors with the greatest relative contribution to estimating genetic diversity among the plants under analysis were identified. Reproductive descriptors had the highest coefficients of variation. Of 38 quantitative descriptors, 19 were sufficient to discriminate between the plants. This covered production, the crown of the plant, inflorescences, and fruit maturation. Descriptors related to grain yield, the uniformity of maturation and the crown showed the greatest relative contributions to diversity. Of the 13 multi-category descriptors, only five vegetative descriptors were discriminative. None of the proposed binary descriptors showed anyvariation.
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spelling Proposal of descriptors for the characterisation of Jatropha curcasBiodieselGermplasmJatropha curcasGenetic gainABSTRACT Despite the importance of the physic nut (Jatropha curcas) in biodiesel production, knowledge of its genetic variability is still in the early stages, with the development of descriptors bring essential to achieving this goal. The aim of this study, therefore, was to propose and develop a list of standardised and tested descriptors, and to indicate those that make the greatest contribution to characterising the physic nut. Fifty-three morphological and reproductive descriptors of a quantitative, multi-category or binary nature were proposed. Descriptive estimates were obtained from among the descriptors. Using PCA, highly correlated descriptors were discarded. Then, the descriptors with the greatest relative contribution to estimating genetic diversity among the plants under analysis were identified. Reproductive descriptors had the highest coefficients of variation. Of 38 quantitative descriptors, 19 were sufficient to discriminate between the plants. This covered production, the crown of the plant, inflorescences, and fruit maturation. Descriptors related to grain yield, the uniformity of maturation and the crown showed the greatest relative contributions to diversity. Of the 13 multi-category descriptors, only five vegetative descriptors were discriminative. None of the proposed binary descriptors showed anyvariation.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100426Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220026info:eu-repo/semantics/openAccessReis,Marcus Vinícius Magro dosDamasceno Junior,Pedro CorrêaDias,Luiz Antônio dos SantosAntoniassi,RosemarPinto,Tatiana de OliveiraAbboud,Antônio Carlos de Souzaeng2022-03-18T00:00:00Zoai:scielo:S1806-66902022000100426Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-03-18T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Proposal of descriptors for the characterisation of Jatropha curcas
title Proposal of descriptors for the characterisation of Jatropha curcas
spellingShingle Proposal of descriptors for the characterisation of Jatropha curcas
Reis,Marcus Vinícius Magro dos
Biodiesel
Germplasm
Jatropha curcas
Genetic gain
title_short Proposal of descriptors for the characterisation of Jatropha curcas
title_full Proposal of descriptors for the characterisation of Jatropha curcas
title_fullStr Proposal of descriptors for the characterisation of Jatropha curcas
title_full_unstemmed Proposal of descriptors for the characterisation of Jatropha curcas
title_sort Proposal of descriptors for the characterisation of Jatropha curcas
author Reis,Marcus Vinícius Magro dos
author_facet Reis,Marcus Vinícius Magro dos
Damasceno Junior,Pedro Corrêa
Dias,Luiz Antônio dos Santos
Antoniassi,Rosemar
Pinto,Tatiana de Oliveira
Abboud,Antônio Carlos de Souza
author_role author
author2 Damasceno Junior,Pedro Corrêa
Dias,Luiz Antônio dos Santos
Antoniassi,Rosemar
Pinto,Tatiana de Oliveira
Abboud,Antônio Carlos de Souza
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Reis,Marcus Vinícius Magro dos
Damasceno Junior,Pedro Corrêa
Dias,Luiz Antônio dos Santos
Antoniassi,Rosemar
Pinto,Tatiana de Oliveira
Abboud,Antônio Carlos de Souza
dc.subject.por.fl_str_mv Biodiesel
Germplasm
Jatropha curcas
Genetic gain
topic Biodiesel
Germplasm
Jatropha curcas
Genetic gain
description ABSTRACT Despite the importance of the physic nut (Jatropha curcas) in biodiesel production, knowledge of its genetic variability is still in the early stages, with the development of descriptors bring essential to achieving this goal. The aim of this study, therefore, was to propose and develop a list of standardised and tested descriptors, and to indicate those that make the greatest contribution to characterising the physic nut. Fifty-three morphological and reproductive descriptors of a quantitative, multi-category or binary nature were proposed. Descriptive estimates were obtained from among the descriptors. Using PCA, highly correlated descriptors were discarded. Then, the descriptors with the greatest relative contribution to estimating genetic diversity among the plants under analysis were identified. Reproductive descriptors had the highest coefficients of variation. Of 38 quantitative descriptors, 19 were sufficient to discriminate between the plants. This covered production, the crown of the plant, inflorescences, and fruit maturation. Descriptors related to grain yield, the uniformity of maturation and the crown showed the greatest relative contributions to diversity. Of the 13 multi-category descriptors, only five vegetative descriptors were discriminative. None of the proposed binary descriptors showed anyvariation.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100426
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100426
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20220026
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 do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.53 2022
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
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instname_str Universidade Federal do Ceará (UFC)
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institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
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