Proposal of descriptors for the characterisation of Jatropha curcas
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , |
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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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 |
format |
article |
status_str |
publishedVersion |
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) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
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) |
repository.mail.fl_str_mv |
||alekdutra@ufc.br|| ccarev@ufc.br |
_version_ |
1750297490511364096 |