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Information Journal Paper

Title

Evaluating non-linear regression models in growth analysis of Cucurbita pepo L.

Pages

  211-224

Abstract

 This study was carried out to evaluate the growth of Cucurbita pepo L. using nonlinear regression models. The experiment was carried out in a randomized complete blocks design with three replications at Research Farm of Abouraihan Campus, University of Tehran during the 2013 growing season. The planting dates were April 20th, June 20th and July 20th. In order to study the growth analysis, leaf area and dry weight changes were measured. Eight models were used to describe the dry weight variations (Logistic, Gompertz, Richards, Weibull, Linear Expression, Symmetric Linear and Beta 1 and 2 models), and three models (logistic, Gompertz and beta) were used to describe the trend of leaf area changes. The results showed that all models well described the changes in dry weight and leaf area (day after planting) and can be used in growth analysis studies. In this research, a beta-1 model was used in all three planting dates to estimate leaf area and dry matter index. Among the planting dates, the highest leaf area index and dry matter were produced in April 20th and June 20th with 1. 78 and 1379 g / m2, respectively. The best time to plant of C. pepo L. in the Varamin is June.

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    APA: Copy

    Khalaj, gh., & Labbafi Hosein Abadi, M.R.. (2020). Evaluating non-linear regression models in growth analysis of Cucurbita pepo L.. PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH), 12(40 ), 211-224. SID. https://sid.ir/paper/188361/en

    Vancouver: Copy

    Khalaj gh., Labbafi Hosein Abadi M.R.. Evaluating non-linear regression models in growth analysis of Cucurbita pepo L.. PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH)[Internet]. 2020;12(40 ):211-224. Available from: https://sid.ir/paper/188361/en

    IEEE: Copy

    gh. Khalaj, and M.R. Labbafi Hosein Abadi, “Evaluating non-linear regression models in growth analysis of Cucurbita pepo L.,” PLANT ECOPHYSIOLOGY (ARSANJAN BRANCH), vol. 12, no. 40 , pp. 211–224, 2020, [Online]. Available: https://sid.ir/paper/188361/en

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