Growth model for morphological traits of buckwheat cultivars at sowing times

Authors

Keywords:

Plantas de cobertura, Modelos não lineares, Fagopyrum esculentum Moench

Abstract

The objective of this study was to fit the Logistic growth model for plant height and number of nodes of two buckwheat cultivars at sowing times, as well as comparing the cultivars and sowing times. Twenty uniformity trials were carried out, formed by the combination of two buckwheat cultivars (IPR91-Baili and IPR92-Altar), sown at five times, for two consecutive years. Evaluations were carried out twice a week throughout the vegetative stage until the end of flowering. In each evaluation, five plants were randomly collected from each trial to measure plant height and count the number of nodes on the main stem. The logistic model was fitted with the values of the five plants of each evaluation. Model parameters were estimated, as well as their respective confidence intervals. The goodness of fit of the model was assessed through the coefficient of determination, Akaike information criterion, and residual standard deviation. The plant height and number of nodes of buckwheat, cultivars IPR91-Baili and IPR92-Altar, were described by the Logistic model. The Logistic model satisfactorily describes the growth of buckwheat plants, and a specific fit considering each cultivar and sowing time is needed.

   

Author Biographies

Marcos Vinícius Loregian, Universidade Federal de Santa Maria

Mestre em Agronomia pelo Programa de Pós-Graduação em Agronomia da Universidade Federal de Santa Maria

Alberto Cargnelutti Filho, Universidade Federal de Santa Maria

Bolsista de Produtividade em Pesquisa do CNPq - Nível 1A

Alberto Cargnelutti Filho concluiu o doutorado em Agronomia pela Universidade Federal de Santa Maria em 2002. Atualmente é Professor do Departamento de Fitotecnia da Universidade Federal de Santa Maria. Atua na área de Estatística Experimental, com ênfase em Técnicas Experimentais, Planejamento de Experimentos, Biometria aplicada ao Melhoramento Genética Vegetal e Climatologia Estatística. Em seu currículo Lattes os termos mais freqüentes na contextualização da produção científica, tecnológica e artístico-cultural são: Zea mays L., Phaseolus vulgaris L., avaliação de cultivares, precisão experimental, probabilidade, tamanho de amostra.

Ismael Mario Márcio Neu, Universidade Federal de Santa Maria

Discente do Curso de Doutorado no Programa de Pós-Graduação em Agronomia da Universidade Federal de Santa Maria

Valéria Escaio Bubans, Universidade Federal de Santa Maria

Mestre em Agronomia pelo Programa de Pós-Graduação em Agronomia da Universidade Federal de Santa Maria

Gabriel Elias Dumke, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

Felipe Manfio Somavilla, Universidade Federal de Santa Maria

Discente do Curso de Agronomia

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Published

2023-11-29

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Section

Crop Science