Multi-criteria decision analysis applied to Brazilian grapevine genotype selection.
Autor(a) principal: | |
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Data de Publicação: | 2024 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1162737 https://doi.org/10.1016/j.jfca.2024.106126 |
Resumo: | Developing new table grape cultivars that exhibit high yield and superior fruit quality is imperative to meet the escalating demands of the consumer market in the Lower-Middle S˜ao Francisco River Valley. The primary objective of Embrapa Semi´arido’s Active Germplasm Banks (AGB) for grapes is the conservation of Vitis sp. germplasm under semi-arid climatic conditions to make it available for research, particularly for the breeding and development of novel grape cultivars. This study aims to use Multi-Criteria Decision Analysis (MCDA), specifically the Preference Ranking Organization Method for Enrichment Evaluation (Promethee) II, to rank the grape genotypes of the Embrapa Semi´arido’s AGB, considering multiple criteria to define the primary grape varieties for the breeding program. The decision maker (DM) participated in all process stages, from validating qualitative and quantitative criteria to evaluating the criteria weights, and the decision matrix had 106 seeded and 50 seedless grape genotypes with 14 criteria. For visual analysis, we generated the GAIA Plane using the Visual Promethee Software. In the group of seeded grape cultivars, the three top- ranked genotypes were ’Italia Clone I′, ’Dona Maria’, and ’Italia Muscat’, while in the seedless group, the best-rated were ’BRS ´Isis’, ’BRS Linda’, and ’BRS Morena’. Our research demonstrated, for the first time, the evaluation of grape genotypes using MCDA method with qualitative and quantitative criteria. |
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Multi-criteria decision analysis applied to Brazilian grapevine genotype selection.Genótipos de uvaPrometeuAnálise de decisão multicritérioTomando uma decisãoUva de mesaBancos Ativos de GermoplasmaUvaMelhoramento Genético VegetalGenótipoDecision makingMulti-criteria decision makingGrapesTable grapesVitisDeveloping new table grape cultivars that exhibit high yield and superior fruit quality is imperative to meet the escalating demands of the consumer market in the Lower-Middle S˜ao Francisco River Valley. The primary objective of Embrapa Semi´arido’s Active Germplasm Banks (AGB) for grapes is the conservation of Vitis sp. germplasm under semi-arid climatic conditions to make it available for research, particularly for the breeding and development of novel grape cultivars. This study aims to use Multi-Criteria Decision Analysis (MCDA), specifically the Preference Ranking Organization Method for Enrichment Evaluation (Promethee) II, to rank the grape genotypes of the Embrapa Semi´arido’s AGB, considering multiple criteria to define the primary grape varieties for the breeding program. The decision maker (DM) participated in all process stages, from validating qualitative and quantitative criteria to evaluating the criteria weights, and the decision matrix had 106 seeded and 50 seedless grape genotypes with 14 criteria. For visual analysis, we generated the GAIA Plane using the Visual Promethee Software. In the group of seeded grape cultivars, the three top- ranked genotypes were ’Italia Clone I′, ’Dona Maria’, and ’Italia Muscat’, while in the seedless group, the best-rated were ’BRS ´Isis’, ’BRS Linda’, and ’BRS Morena’. Our research demonstrated, for the first time, the evaluation of grape genotypes using MCDA method with qualitative and quantitative criteria.MATHEUS SANDREY COSTA DE MATOS LESSA, UNIVASF; THIAGO MAGALHÃES AMARAL, UNIVASF; PATRICIA COELHO DE SOUZA LEAO, CPATSA; JEFFERSON T. OLIVA, Universidade Tecnológica Federal do Paraná, Pato Branco, PR.LESSA, M. S. C. de M.AMARAL, T. M.LEAO, P. C. de S.OLIVA, J. T.2024-03-11T19:32:31Z2024-03-11T19:32:31Z2024-03-112024info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleJournal of Food Composition and Analysis, v. 130, 106126, 2024http://www.alice.cnptia.embrapa.br/alice/handle/doc/1162737https://doi.org/10.1016/j.jfca.2024.106126enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2024-03-11T19:32:31Zoai:www.alice.cnptia.embrapa.br:doc/1162737Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542024-03-11T19:32:31falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542024-03-11T19:32:31Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
title |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
spellingShingle |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. LESSA, M. S. C. de M. Genótipos de uva Prometeu Análise de decisão multicritério Tomando uma decisão Uva de mesa Bancos Ativos de Germoplasma Uva Melhoramento Genético Vegetal Genótipo Decision making Multi-criteria decision making Grapes Table grapes Vitis |
title_short |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
title_full |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
title_fullStr |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
title_full_unstemmed |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
title_sort |
Multi-criteria decision analysis applied to Brazilian grapevine genotype selection. |
author |
LESSA, M. S. C. de M. |
author_facet |
LESSA, M. S. C. de M. AMARAL, T. M. LEAO, P. C. de S. OLIVA, J. T. |
author_role |
author |
author2 |
AMARAL, T. M. LEAO, P. C. de S. OLIVA, J. T. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
MATHEUS SANDREY COSTA DE MATOS LESSA, UNIVASF; THIAGO MAGALHÃES AMARAL, UNIVASF; PATRICIA COELHO DE SOUZA LEAO, CPATSA; JEFFERSON T. OLIVA, Universidade Tecnológica Federal do Paraná, Pato Branco, PR. |
dc.contributor.author.fl_str_mv |
LESSA, M. S. C. de M. AMARAL, T. M. LEAO, P. C. de S. OLIVA, J. T. |
dc.subject.por.fl_str_mv |
Genótipos de uva Prometeu Análise de decisão multicritério Tomando uma decisão Uva de mesa Bancos Ativos de Germoplasma Uva Melhoramento Genético Vegetal Genótipo Decision making Multi-criteria decision making Grapes Table grapes Vitis |
topic |
Genótipos de uva Prometeu Análise de decisão multicritério Tomando uma decisão Uva de mesa Bancos Ativos de Germoplasma Uva Melhoramento Genético Vegetal Genótipo Decision making Multi-criteria decision making Grapes Table grapes Vitis |
description |
Developing new table grape cultivars that exhibit high yield and superior fruit quality is imperative to meet the escalating demands of the consumer market in the Lower-Middle S˜ao Francisco River Valley. The primary objective of Embrapa Semi´arido’s Active Germplasm Banks (AGB) for grapes is the conservation of Vitis sp. germplasm under semi-arid climatic conditions to make it available for research, particularly for the breeding and development of novel grape cultivars. This study aims to use Multi-Criteria Decision Analysis (MCDA), specifically the Preference Ranking Organization Method for Enrichment Evaluation (Promethee) II, to rank the grape genotypes of the Embrapa Semi´arido’s AGB, considering multiple criteria to define the primary grape varieties for the breeding program. The decision maker (DM) participated in all process stages, from validating qualitative and quantitative criteria to evaluating the criteria weights, and the decision matrix had 106 seeded and 50 seedless grape genotypes with 14 criteria. For visual analysis, we generated the GAIA Plane using the Visual Promethee Software. In the group of seeded grape cultivars, the three top- ranked genotypes were ’Italia Clone I′, ’Dona Maria’, and ’Italia Muscat’, while in the seedless group, the best-rated were ’BRS ´Isis’, ’BRS Linda’, and ’BRS Morena’. Our research demonstrated, for the first time, the evaluation of grape genotypes using MCDA method with qualitative and quantitative criteria. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-03-11T19:32:31Z 2024-03-11T19:32:31Z 2024-03-11 2024 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Journal of Food Composition and Analysis, v. 130, 106126, 2024 http://www.alice.cnptia.embrapa.br/alice/handle/doc/1162737 https://doi.org/10.1016/j.jfca.2024.106126 |
identifier_str_mv |
Journal of Food Composition and Analysis, v. 130, 106126, 2024 |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1162737 https://doi.org/10.1016/j.jfca.2024.106126 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503558961299456 |