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      Allometric models to estimate peanuts leaflets area by non-destructive method

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          Abstract

          ABSTRACT The determination of leaf area is fundamental for studies related to plant growth and physiology. Thus, non-destructive methods allow an accurate estimate of the leaf area through linear dimensions of the leaves. The research objective was to construct allometric equations to estimate the leaflet area of peanut cultivars. Then, 2,605 leaflets were collected from six peanut cultivars (IAC Caiapó, IAC 8112, Runner IAC 886, BRS Havana, BRS 151 L7, and IAC Tatuí), with more than 400 leaflets sampled for each cultivar. We measured the length, width, product between length and width, and leaflet area. Linear and non-linear models (linear, linear without intercept, power, and exponential) were built, and the best equation was chosen using the statistical criteria: highest coefficient of determination (R2), Pearson’s linear correlation coefficient (r), Willmott’s agreement index (d), lowest Akaike information criterion (AIC), and root mean square of the error (RMSE). It was found that the models that used the product between length and width were the most suitable for estimating the leaflet area of peanut cultivars. Given the little intraspecific morphological variability, it was possible to group the cultivars, and model y ^ = 0.875 * LW0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.

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          Most cited references36

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          A protocol for data exploration to avoid common statistical problems

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            R: A Language and Environment for Statistical Com- puting

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              Biostatistical Analysis

              Presents a broad collection of data analysis techniques suitable for biological investigations, either as an introductory textbook assuming no prior knowledge of statistics, or as a reference on concepts and procedures of statistical analysis for professional use in the biological disciplines. Each
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                Author and article information

                Journal
                brag
                Bragantia
                Bragantia
                Instituto Agronômico de Campinas (Campinas, SP, Brazil )
                0006-8705
                1678-4499
                2022
                : 81
                : e4522
                Affiliations
                [01] Mossoró Rio Grande do Norte orgnameUniversidade Federal Rural do Semi-Árido Brazil
                [02] Areia Paraíba orgnameUniversidade Federal da Paraíba Brazil
                Article
                S0006-87052022000100243 S0006-8705(22)08100000243
                10.1590/1678-4499.20220121
                1b5c4b76-ce5a-41df-9796-a18f97ccc9c8

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 06 October 2022
                : 27 June 2022
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 36, Pages: 0
                Product

                SciELO Brazil

                Categories
                Article

                nonlinear models,leaf morphotypes,biometry,Arachis hypogaea L.

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