Leaf area estimation of Anacardium humile

Gomes, Francielly Rodrigues; Silva, Danielle Fabíola Pereira da; Ragagnin, Angelita Lorrayne Soares Lima; Souza, Pedro Henrique Magalhães de; Cruz, Simério Carlos Silva

doi:10.1590/0100-29452020628

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…Generally, linear models are the most used to estimate the leaf area of agricultural and forest species (Gomes et al 2020, Goergen et al 2021, Hernandéz-Fernandez et al 2021, Mela et al 2022). However, it is assumed that these models are used with losses in precision, which often occurs due to the high values of the intercepts (β0) of the regression line (Santos et al 2021).…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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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 (R 2 ), 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 ̂= 0.875 * LW 0.929 was indicated to estimate the peanut leaflet area accurately, regardless of the cultivar.

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Section: Discussionmentioning

confidence: 99%

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

et al. 2022

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Non-destructive method for estimating chrysanthemum leaf area

Silva,

Ribeiro,

Dias

et al. 2023

Rev. bras. eng. agríc. ambient.

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Chrysanthemum (Dendranthema grandiflora) is the second most produced and commercialized ornamental plant in the world. Measuring leaf area through non-destructive methods is fundamental for studies on its growth and production. The estimation of leaf area by linear dimensions of the leaves can be a strategy for this purpose. The objective of this study was to find allometric equations to estimate the leaf area of chrysanthemum. The linear, linear without intercept, quadratic, cubic, power, and exponential regression models were used for the analysis. The choice of equations was based on the highest coefficients of determination. The non-destructive method using allometric models has accuracy for estimating the leaf area (LA) of chrysanthemum from the product between leaf length (L) and leaf width (W). The LA of chrysanthemum can be estimated using the equation ŷ = 0.6611*LW0.9490 (L - leaf length; W - leaf width). This equation will allow researchers and producers to determine leaf area non-destructively.

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Nondestructive method for estimating the leaf area of sapodilla from linear leaf dimensions

Ribeiro

Coêlho

Pessoa

et al. 2023

Rev. bras. eng. agríc. ambient.

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The leaf area is a parameter of fundamental importance in studies on plant growth and physiology. The objective of this study was to build allometric equations for the accurate and fast estimation of sapodilla leaf areas. In total, 250 leaves of different shapes and sizes were collected from sapodilla matrices trees growing at the Universidade Federal Rural do Semi-Árido, Mossoró-RN, Brazil. For each leaf, the length, width, product of length and width (LW), product of length and length, product of width and width, and leaf area were measured. Linear and nonlinear models were used to construct the allometric equations. The best equations were chosen on the basis of the following criteria: the highest coefficient of determination, Pearson’s linear correlation coefficient, and Willmott’s index of agreement; and the lowest Akaike information criterion and root mean square error. It was verified that the models that used the LW value presented the best criteria for estimating the leaf area. Specifically, the equations ŷ = 0.664 × LW1.018 and ŷ = 0.713 × LW, which use LW values, are the most suitable for estimating the leaf area of sapodilla quickly and accurately.

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Leaf area estimation of Anacardium humile

Cited by 3 publications

References 26 publications

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

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

Non-destructive method for estimating chrysanthemum leaf area

Nondestructive method for estimating the leaf area of sapodilla from linear leaf dimensions

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