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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.
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Registros recuperados : 8 | |
1. | | BELNIAKI, A. C. Viabilidade e armazenamento de sementes de pupunha. 2020. 92 f. Dissertação (Mestrado em Ciências, Área de Concentração Produção Vegetal) - Setor de Ciências Agrárias, Universidade Federal do Paraná, Curitiba. Orientadora: Maristela Panobianco
Vasconcellos; Coorientadora: Elisa Serra Negra Vieira.Tipo: Orientação de Tese de Pós-Graduação |
Biblioteca(s): Embrapa Florestas. |
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8. | | SÁ, F. P. de; BELNIAKI, A. C.; PANOBIANCO, M.; GABIRA, M. M.; KRATZ, D.; LIMA, E. A. de; WENDLING, I.; MAGALHAES, W. L. E. Peach palm residue compost as substrate for Bactris gasipaes self-sustaining seedlings production. International Journal of Recycling of Organic Waste in Agriculture, v. 9, n. 2, p. 183-192, 2020.Tipo: Artigo em Periódico Indexado | Circulação/Nível: B - 1 |
Biblioteca(s): Embrapa Florestas. |
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Registros recuperados : 8 | |
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