| Full text | |
| Author(s): |
Taís F. Costa
[1]
;
Beatriz G. Lopes
[2]
;
Glaucia A. Faria
[3]
;
Otavio A. P. da S. Ribeiro
[4]
;
Paula Suares-Rocha
[5]
;
Juliana F. de Lima
[6]
;
Lucas M. Felizardo
[7]
;
Enes Furlani Junior
[8]
Total Authors: 8
|
| Affiliation: | [1] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Programa de Pós-Graduação em Agronomia - Brasil
[2] Universidade de São Paulo. Escola Superior de Agricultura “Luiz de Queiroz”. Programa de Pós-Graduação em Estatística e Experimentação Agronômica - Brasil
[3] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Faculdade de Engenharia de Ilha Solteira. Dep. de Matemática - Brasil
[4] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Programa de Pós-Graduação em Agronomia - Brasil
[5] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Faculdade de Engenharia de Ilha Solteira. Lab. de Estatística Aplicada - Brasil
[6] Universidade Federal do Recôncavo da Bahia - Brasil
[7] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Faculdade de Engenharia de Ilha Solteira. Dep. de Matemática - Brasil
[8] Universidade Estadual Paulista “Júlio de Mesquita Filho”. Faculdade de Engenharia de Ilha Solteira. Dep. de Fitotecnia, Tecnologia de Alimentos e Sócio Economia - Brasil
Total Affiliations: 8
|
| Document type: | Journal article |
| Source: | Revista Brasileira de Engenharia Agrícola e Ambiental; v. 27, n. 5, p. 422-428, 2023-03-03. |
| Abstract | |
ABSTRACT Papaya cultivation is widespread in Brazil, particularly in the states of Bahia and Espírito Santo, where most commercial plantations are concentrated. Owing to the economic and social importance of papaya, the present study aimed to determine the explanatory variables between the genotypes of two cultivars: Golden (from the Soil group) and Tainung Nº 1 hybrid (from the Formosa group), cultivated under high temperatures and hydric stress. The genotypes containing more desirable agronomic characteristics were identified for use in plant genetic improvement programs. Principal component analysis (PCA) was applied to select the desirable genotypes for Golden and Tainung Nº 1 cultivars based on specific variables analyzed for two groups of variables; for group 1, the plant height, stem diameter, leaf length, leaf width, and leaf number were analyzed, whereas for group 2, the leaf and root dry mass, stem dry mass and fresh mass of 10 discs, fresh mass, and stem and root fresh mass were analyzed. When exposed to hydric and thermal stress, the Tainung Nº 1 cultivar outperformed the Golden cultivar for the evaluation characteristics selected for use in genetic improvement programs. (AU) | |
| FAPESP's process: | 15/18225-4 - Evaluation of variation coefficients, calculation of the plot and sample sizes in experiments in aviculture area |
| Grantee: | Glaucia Amorim Faria |
| Support Opportunities: | Regular Research Grants |