| |
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
|
Registro Completo |
|
Biblioteca(s): |
Embrapa Florestas. |
|
Data corrente: |
05/07/2022 |
|
Data da última atualização: |
05/07/2022 |
|
Tipo da produção científica: |
Artigo em Periódico Indexado |
|
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 |
|
Marc: |
LEADER 02128naa a2200313 a 4500
001 2144473
005 2022-07-05
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1017/S0960258521000258$2DOI
100 1 $aMICHELON, T. B.
245 $aEmergence speed comparison by non-linear regression and approached by time-to-event models for censored data.$h[electronic resource]
260 $c2022
520 $aAbstract: 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.
650 $aForestry
650 $aStorage
650 $aArmazenamento
650 $aBactris Gasipaes
653 $aCensoring
653 $aGermination speed index
653 $aÍndice de Maguire
653 $aMaguire's index
653 $aNon-linear regression
653 $aRegressão não linear
653 $aVelocidade de germinação
700 1 $aBELNIAKI, A. C.
700 1 $aTACONELI, C. A.
700 1 $aVIEIRA, E. S. N.
700 1 $aPANOBIANCO, M.
773 $tSeed Science Research$gv. 31, p. 319-325, 2022.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Florestas (CNPF) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
URL |
Voltar
|
|
|
| Registros recuperados : 1 | |
| Registros recuperados : 1 | |
|
| Expressão de busca inválida. Verifique!!! |
|
|
