Data/hora: 12/06/2024 01:07:56

Biblioteca(s): | Embrapa Florestas.
Tipo da produção científica: | Artigo em Periódico Indexado
Circulação/Nível: | A - 2
Data corrente: | 05/07/2022
Data da última atualização: | 05/07/2022
Autoria: | MICHELON, T. B.; BELNIAKI, A. C.; TACONELI, C. A.; VIEIRA, E. S. N.; PANOBIANCO, M.
Afiliação: | THOMAS B. MICHELON, Federal University of Paraná; ANDREZA C. BELNIAKI, Federal University of Paraná; CESAR A. TACONELI, Federal University of Paraná; ELISA SERRA NEGRA VIEIRA, CNPF; MARISTELA PANOBIANCO, Federal University of Paraná.
Título: | Emergence speed comparison by non-linear regression and approached by time-to-event models for censored data.
Ano de publicação: | 2022
Fonte/Imprenta: | Seed Science Research, v. 31, p. 319-325, 2022.
DOI: | https://doi.org/10.1017/S0960258521000258
Idioma: | Português
Conteúdo: | Abstract: Determining the germination speed is essential in experiments in the field of seed technology, as it allows the performance evaluation of a seed lot and the creation of predictive models. To this end, the literature addresses several methods and indexes. The objective of this study was to compare the main methods of emergence speed analysis in seeds, namely the non-linear regression models and the Emergence Speed Index (ESI), with the time-to-event models. The research was conducted with peach palm seeds (Bactris gasipaes) that were measured for viability and vigour through daily evaluations for 4 months. Vigour was evaluated by the quantification of the seed emergence speed, which was performed in three ways: ESI, non-linear regression and non-linear regression considering germination as a time-to-event event. From the results obtained, we conclude that the ESI is not a good indicator to evaluate the emergence speed; the non-linear regression model underestimates the errors and, thus, increases the probability of misclassifying treatments; the time-to-event model is more reliable in classifying treatments according to the emergence speed.
Palavras-Chave: | Censoring; Germination speed index; Índice de Maguire; Maguire's index; Non-linear regression; Regressão não linear; Velocidade de germinação.
Thesagro: | Armazenamento; Bactris Gasipaes.
Thesaurus Nal: | Forestry; Storage.
Categoria do assunto: | K Ciência Florestal e Produtos de Origem Vegetal
Registro original: | Embrapa Florestas (CNPF)
Exemplares: | CNPF - (58313-1) - UPC - AP - DD -  -  -  - DIS