Journal: | Acta scientiarum. Agronomy |
Database: | PERIÓDICA |
System number: | 000460003 |
ISSN: | 1679-9275 |
Authors: | Lara, Idemauro Antonio Rodrigues de1 Taconeli, Cesar Augusto2 Moral, Rafael de Andrade3 Hinde, John4 Voigt, Vanessa1 Freitas, Sílvia Maria de5 |
Institutions: | 1Universidade de Sao Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Piracicaba, Sao Paulo. Brasil 2Universidade Federal do Parana, Departamento de Estatistica, Curitiba, Parana. Brasil 3Maynooth University, Department of Mathematics and Statistics, Maynooth, County Kildare. Irlanda 4National University of Ireland, School of Mathematics, Statistics and Applied Mathematics, Galway. Irlanda 5Universidade Federal do Ceara, Departamento de Estatistica e Matematica Aplicada, Fortaleza, Ceara. Brasil |
Year: | 2020 |
Volumen: | 42 |
Country: | Brasil |
Language: | Inglés |
Document type: | Artículo |
Approach: | Analítico |
English abstract | The orange variety “x11”, which is a spontaneous mutant of the sweet orange, has a short juvenile period with early flowering. The data used in this paper are from a randomized design experiment that aimed to assess the plants' flowering characteristics when grafted onto two different varieties of lemon rootstock. The plants were pruned in each of the four seasons, and on each pruning occasion, the number of branches on each plant was counted and classified into four mutually exclusive flowering categories. The data presented large variability and many zeros. The statistical analysis included the use of generalized linear mixed models with a Bayesian approach. The results showed that flowering is not equal over the seasons, i.e., there are significant differences in the classification of the branches across the four seasons and the two varieties, with interactions between seasonal and branch effects |
Disciplines: | Agrociencias |
Keyword: | Frutales, Naranja dulce, Citrus sinensis, Modelos mixtos, Análisis bayesiano, Datos discretos |
Keyword: | Fruit trees, Sweet orange, Citrus sinensis, Discrete data, Mixed models, Bayesian analysis |
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