Modelos não-lineares para a estimativa da produção de tomate do tipo cereja

Lúcio, Alessandro Dal’Col; Sari, Bruno Giacomini; Rodrigues, Maristela; Bevilaqua, Ledur Macht; Voss, Higor Modesto Garlet; Copetti, Diego; Faé, Maurício

doi:10.1590/0103-8478cr20150067

Cited by 16 publications

(6 citation statements)

References 6 publications

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“…These results were consistent with the fact that biometric measurements were made on different fruits at each age. Similar results were found by Lúcio et al (2016) in a study with the production of cherry tomato when evaluating the mean values in different fruits, since they also found independence of errors. On the other hand, discordant results were obtained by Muianga et al (2016) and Sousa et al (2014), who observed autocorrelated errors in their studies of adjustment of nonlinear regression models, respectively, in the description of cashew fruit growth and in the study on the germination of coffee seeds both with average data of the same fruits.…”

Section: Methodssupporting

confidence: 86%

Description of the growth of pequi fruits by nonlinear models

et al. 2018

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Descrição do crescimento de frutos de pequizeiro por modelos não linearesResumo -O pequizeiro é uma espécie nativa do cerrado brasileiro, com ampla distribuição geográfica, cujo fruto é bastante apreciado na culinária, compondo pratos tradicionais. Em geral, o fruto do pequi é consumido quando maduro, na forma in natura ou nos diversos, produtos derivados tais como óleos, licores, doces, sorvetes, entre outros, envolvendo importante atividade socioeconômica geradora de emprego e renda na agricultura familiar. Este trabalho teve por objetivo avaliar o ajuste dos modelos Brody, Gompertz, Logístico e Von Bertalanffy no crescimento e no desenvolvimento de frutos de pequi, com base em suas características físicas, como diâmetro longitudinal e transversal, e massa fresca obtidos ao longo do tempo. Os parâmetros foram estimados por meio de rotinas do software R, utilizando-se do método de mínimos quad rados e o processo iterativo de Gauss-Newton. O ajuste dos modelos foi comparado, utilizando os critérios: desvio-padrão residual, coeficiente de determinação ajustado e critério de informação de Akaike corrigido. Em geral, os dados não apresentaram estrutura de erros correlacionados, e o modelo Von Bertalanffy não se ajustou aos dados de massa fresca. Os modelos apresentaram boa qualidade no ajuste aos dados de crescimento de pequi, exceto o modelo Brody para a variável massa fresca. Os modelos Gompertz e Logístico foram os que melhor descreveram as variáveis, sendo o Gompertz o mais indicado para descrever os dados de diâmetro e de massa. Com base no ajuste, observou-se um crescimento inicial lento até cerca de 20 dias após a antese; após este período, o fruto desenvolveu-se de modo mais acelerado até 90 dias e, então, apresentou tendência à estabilidade até o final da avaliação, aos 117 dias após a antese, com caráter sigmoide da curva. O fruto de pequizeiro obteve valores finais, em média, de 7,1 cm de diâmetro transversal, 6,8 cm de diâmetro longitudinal e 113g de massa fresca. Termos de indexação: Modelos de crescimento, medidas biométricas, curvas sigmoides, ajuste de modelos, pequi.Abstract-Pequi tree is a species native to the Brazilian cerrado, with wide geographic distribution, whose fruit is very appreciated in cooking, composing traditional dishes. In general, pequi fruit is consumed when ripe in the fresh form or in the various derived products such as oils, liqueurs, sweets, ice creams among others, involving important socioeconomic activity generating employment and income in family agriculture. The aim of this study was to evaluate the adjustment of Brody, Gompertz, Logistic and Von Bertalanffy models in the growth and development of pequi fruits based on their physical characteristics such as longitudinal and cross-sectional diameter and fresh mass obtained over time. Parameters were estimated using R software routines, using the least squares method and the Gauss-Newton iterative process. The adjustment of models was compared using the following criteria: residual standard deviation, adjusted determinati...

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Section: Methodssupporting

confidence: 86%

Description of the growth of pequi fruits by nonlinear models

et al. 2018

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“…The nonlinear Logistic model has the advantage of presenting estimates with practical or biological interpretation, as it can be observed in Lúcio et al (2016) in the growth study of the mean weight of the cherry tomato fruit, and in Bem et al (2017) in the description of morphological characters of Crotalaria juncea L., unlikely the Polynomial linear model, which has no interpretation. Archontoulis & Miguez (2015) state that nonlinear models are best suited for the growth study of linear measurements (height, length, diameter, etc.)…”

Section: /7mentioning

confidence: 99%

Comparison of polynomial and nonlinear models on description of pepper growth

Jane

Fernandes

Silva

et al. 2019

Agraria

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Pepper (Capsicum sp.) is important for the Brazilian agribusiness, serving as raw material for the food, pharmaceutical and cosmetic industries. The adequate evaluation of its plants growth may help in understanding the causes of crops yield variation, with it being able to be studied by regression models, which help to adequate the management with the different phenological phases. This study aimed to compare the fit of linear Polynomial model and the Logistic and Gompertz nonlinear models in the description of pepper plants growth from the Doce cultivar. Estimates were obtained by the Gauss-Newton method, with the quality of fitted models compared by graphical analysis and evaluators: adjusted coefficient of determination (R 2 adj), Residual Standard Deviation (RSD) and the corrected Akaike Information Criterion (AICc). Residues were normal, independent and homocedastic at 5% level of significance. All models properly described the height of the Doce cultivar. The Logistic model was the most adequate according to the fitting evaluators, having higher value of R 2 adj , and lower RSD and AICc values.

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“…The fruit growth curve can point to the most critical phase in its development and thus highlight the period of greatest demand for nutrients [11] and still allow an estimate of production [12].…”

Section: Introductionmentioning

confidence: 99%

Fruit Mass of <i>Carica papaya</i> L. from Cultivars Aliança and THB from the Width and Length of the Fruit

Santos¹,

Oliveira²,

Santos³

et al. 2021

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Modelos não-lineares para a estimativa da produção de tomate do tipo cereja

Abstract: RESUMO Os objetivos do trabalho foram ajustar modelos de regressão não-linear para a estimativa da produção de frutos de tomate tipo cereja e identificar o tamanho da

Cited by 16 publications

References 6 publications

Description of the growth of pequi fruits by nonlinear models

Description of the growth of pequi fruits by nonlinear models

Comparison of polynomial and nonlinear models on description of pepper growth

Fruit Mass of <i>Carica papaya</i> L. from Cultivars Aliança and THB from the Width and Length of the Fruit

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Modelos não-lineares para a estimativa da produção de tomate do tipo cereja

Abstract: RESUMO Os objetivos do trabalho foram ajustar modelos de regressão não-linear para a estimativa da produção de frutos de tomate tipo cereja e identificar o tamanho da

Cited by 16 publications

References 6 publications

Description of the growth of pequi fruits by nonlinear models

Description of the growth of pequi fruits by nonlinear models

Comparison of polynomial and nonlinear models on description of pepper growth

Fruit Mass of &lt;i&gt;Carica papaya&lt;/i&gt; L. from Cultivars Alian&#231;a and THB from the Width and Length of the Fruit

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Fruit Mass of <i>Carica papaya</i> L. from Cultivars Aliança and THB from the Width and Length of the Fruit