Artificial neural networks and genetic dissimilarity among saladette type dwarf tomato plant populations-Reference-Cited by-同舟云学术

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

Published:2021-12 Issue: Volume:3 Page:100056
ISSN:2666-5662
Container-title:Food Chemistry: Molecular Sciences
language:en
Short-container-title:Food Chemistry: Molecular Sciences

Author:

Soares de Oliveira Camila,Mascarenhas Maciel Gabriel,Carolina Silva Siquieroli Ana,Araújo Gomes Danilo,Mendes Diniz Nádia,Magno Queiroz Luz José,Yoshio Yada Rickey

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Universidade Federal de Uberlândia

Publisher

Elsevier BV

Reference55 articles.

1. Sistema Viçosa para o cultivo de tomateiro;Almeida;Horticultura Brasileira,2015

2. Phenotypic diversity and marker-trait association studies under heat stress in tomato (Solanum lycopersicum L.);Alsamir;Aust. J. Crop Sci.,2019

3. Tomate: produção em campo, em casa-de-vegetação e em hidroponia;Alvarenga,2013

4. Prospecting of tomato hybrids for table and industry via mixed modeling and multivariate analysis;Amaral Júnior;Horticultura Brasileira,2017

5. Capacidade combinatória de linhagens de tomateiro em híbridos do tipo italiano;Andrade;Bragantia,2014

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