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Artificial neural networks optimize the establishment of a Brazilian germplasm core collection of winter squash (Cucurbita moschata D.).
Gomes, Ronaldo Silva; Machado Júnior, Ronaldo; de Almeida, Cleverson Freitas; de Oliveira, Rebeca Lourenço; Nascimento, Moysés; Nardino, Maicon; do Nascimento, Wellington Ferreira; da Silva, Derly José Henriques.
Afiliação
  • Gomes RS; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil. ronaldo.s.gomes@ufv.br.
  • Machado Júnior R; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
  • de Almeida CF; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
  • de Oliveira RL; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
  • Nascimento M; Statistics Departament, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
  • Nardino M; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
  • do Nascimento WF; Science Center of Chapadinha, Federal University of Maranhão- UFMA, 222 Rode, km 04, Chapadinha, MA, 65500-00, Brazil.
  • da Silva DJH; Agronomy Department, Federal University of Viçosa-UFV, PH Rolfs Avenue, Viçosa, MG, 36570-000, Brazil.
Sci Rep ; 14(1): 5930, 2024 03 11.
Article em En | MEDLINE | ID: mdl-38467669
ABSTRACT
With widespread cultivation, Cucurbita moschata stands out for the carotenoid content of its fruits such as ß and α-carotene, components with pronounced provitamin A function and antioxidant activity. C. moschata seed oil has a high monounsaturated fatty acid content and vitamin E, constituting a lipid source of high chemical-nutritional quality. The present study evaluates the agronomic and chemical-nutritional aspects of 91 accessions of C. moschata kept at the BGH-UFV and propose the establishment of a core collection based on multivariate approaches and on the implementation of Artificial Neural Networks (ANNs). ANNs was more efficient in identifying similarity patterns and in organizing the distance between the genotypes in the groups. The averages and variances of traits in the CC formed using a 15% sampling of accessions, were closer to those of the complete collection, particularly for accumulated degree days for flowering, the mass of seeds per fruit, and seed and oil productivity. Establishing the 15% CC, based on the broad characterization of this germplasm, will be crucial to optimize the evaluation and use of promising accessions from this collection in C. moschata breeding programs, especially for traits of high chemical-nutritional importance such as the carotenoid content and the fatty acid profile.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cucurbita País/Região como assunto: America do sul / Brasil Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Cucurbita País/Região como assunto: America do sul / Brasil Idioma: En Revista: Sci Rep Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Brasil País de publicação: Reino Unido