Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations

Studies have shown that dwarf plants have the potential for use in obtaining hybrids. The aim of this study was to evaluate the agronomic potential and genetic dissimilarity of saladette type dwarf tomato plant populations through the use of artificial neural networks (ANNs). The following traits we...

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Autores principales:	Camila Soares de Oliveira, Gabriel Mascarenhas Maciel, Ana Carolina Silva Siquieroli, Danilo Araújo Gomes, Nádia Mendes Diniz, José Magno Queiroz Luz, Rickey Yoshio Yada
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Solanum lycopersicum Dwarfism Backcrossing Computational intelligence Genetic dissimilarity Nutrition. Foods and food supply TX341-641
Acceso en línea:	https://doaj.org/article/27d71a5fe1b845e8a02bc301de7b6180
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spelling	oai:doaj.org-article:27d71a5fe1b845e8a02bc301de7b61802021-12-04T04:36:06ZArtificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations2666-566210.1016/j.fochms.2021.100056https://doaj.org/article/27d71a5fe1b845e8a02bc301de7b61802021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666566221000472https://doaj.org/toc/2666-5662Studies have shown that dwarf plants have the potential for use in obtaining hybrids. The aim of this study was to evaluate the agronomic potential and genetic dissimilarity of saladette type dwarf tomato plant populations through the use of artificial neural networks (ANNs). The following traits were analyzed: mean fruit weight, transverse and longitudinal fruit diameter, fruit shape, pulp thickness, locule number, internode length, soluble solids content, and β-carotene, lycopene, and leaf zingiberene contents. A dendrogram obtained by the unweighted pair-group method with arithmetic mean (UPGMA) and Kohonen self-organizing maps (SOM) agreed in the distinction of the BC1F3 populations from the dwarf donor parent. SOM was more consistent in identifying the genetic similarities among the BC1F3 dwarf tomato plant populations and allowed for the determination of weights of each variable in the cluster formation. The UFU SDi 13-1 BC1F3 population was revealed to be a promising option for obtaining saladette type dwarf tomato plant lines.Camila Soares de OliveiraGabriel Mascarenhas MacielAna Carolina Silva SiquieroliDanilo Araújo GomesNádia Mendes DinizJosé Magno Queiroz LuzRickey Yoshio YadaElsevierarticleSolanum lycopersicumDwarfismBackcrossingComputational intelligenceGenetic dissimilarityNutrition. Foods and food supplyTX341-641ENFood Chemistry: Molecular Sciences, Vol 3, Iss , Pp 100056- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Solanum lycopersicum Dwarfism Backcrossing Computational intelligence Genetic dissimilarity Nutrition. Foods and food supply TX341-641
spellingShingle	Solanum lycopersicum Dwarfism Backcrossing Computational intelligence Genetic dissimilarity Nutrition. Foods and food supply TX341-641 Camila Soares de Oliveira Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Danilo Araújo Gomes Nádia Mendes Diniz José Magno Queiroz Luz Rickey Yoshio Yada Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
description	Studies have shown that dwarf plants have the potential for use in obtaining hybrids. The aim of this study was to evaluate the agronomic potential and genetic dissimilarity of saladette type dwarf tomato plant populations through the use of artificial neural networks (ANNs). The following traits were analyzed: mean fruit weight, transverse and longitudinal fruit diameter, fruit shape, pulp thickness, locule number, internode length, soluble solids content, and β-carotene, lycopene, and leaf zingiberene contents. A dendrogram obtained by the unweighted pair-group method with arithmetic mean (UPGMA) and Kohonen self-organizing maps (SOM) agreed in the distinction of the BC1F3 populations from the dwarf donor parent. SOM was more consistent in identifying the genetic similarities among the BC1F3 dwarf tomato plant populations and allowed for the determination of weights of each variable in the cluster formation. The UFU SDi 13-1 BC1F3 population was revealed to be a promising option for obtaining saladette type dwarf tomato plant lines.
format	article
author	Camila Soares de Oliveira Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Danilo Araújo Gomes Nádia Mendes Diniz José Magno Queiroz Luz Rickey Yoshio Yada
author_facet	Camila Soares de Oliveira Gabriel Mascarenhas Maciel Ana Carolina Silva Siquieroli Danilo Araújo Gomes Nádia Mendes Diniz José Magno Queiroz Luz Rickey Yoshio Yada
author_sort	Camila Soares de Oliveira
title	Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
title_short	Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
title_full	Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
title_fullStr	Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
title_full_unstemmed	Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
title_sort	artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/27d71a5fe1b845e8a02bc301de7b6180
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Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations

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