Leaf area estimation with nondestructive method in cassava

Trachta, Mariano Abel; Zanon, Alencar Júnior; Alves, Alexandre Ferigolo; Freitas, Charles Patrick de Oliveira de; Streck, Nereu Augusto; Cardoso, Paula de Souza; Santos, Amanda Thirza Lima; Nascimento, Moisés de Freitas do; Rossato, Ioran Guedes; Simões, Guilherme Penteado; Amaral, Kaleb Emanoel Ferreira do; Streck, Ijésica Luana; Rodrigues, Luiza

doi:10.1590/1678-4499.20200018

Cited by 8 publications

(4 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These models showed the highest coefficients of determination (R²) (0.9991 and 0.9954), Pearson's linear correlation coefficients (r) (0.9977 and 0.9976), and Willmott agreement indexes (d) (0.9988 and 0.9988) and the lowest Akaike information criterion (AIC) (560.75 and 567.08) and root mean square error values (RMSE) (0.7998 and 0.8108) (Table 1). Linear and power models were also the most suitable for estimating the LA of other plant species (Tondjo et al, 2015;Trachta et al, 2020;Montelatto et al, 2021;Mela et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

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

Ribeiro

Coêlho

Pessoa

et al. 2023

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

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.

show abstract

Section: Resultsmentioning

confidence: 99%

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

Ribeiro

Coêlho

Pessoa

et al. 2023

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

show abstract

“…to estimate the LA of the cultivars individually and in general. This model was also the most suitable for estimating the leaf area of other plant species (Trachta et al 2020, Toebe et al 2021.…”

Section: Discussionmentioning

confidence: 99%

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

et al. 2022

View full text Add to dashboard Cite

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.

show abstract

“…When cultivars have similar leaf shape, a single model is used to estimate leaf area (Cristofori et al 2008;Mendoza-de Gyves et al 2008;Rouphael et al 2010). On the other hand, when there are differences in leaf morphology among cultivars, the use of a single model is an oversimplification and not recommended (Trachta et al 2020). Non-destructive models are good alternatives to leaf area meters as these devices are expensive and most of them do not fit small guava leaves, causing leaf injuries and estimation errors.…”

Section: Modelmentioning

confidence: 99%

Non-destructive models for estimating leaf area of guava cultivars

2022

View full text Add to dashboard Cite

Leaf area is a commonly used measurement in many agronomic studies, but its assessment is generally destructive, and then simple, accurate and non-destructive methods are really appreciated. The objective of this study was to develop a non-destructive model that could be used to estimate the leaf area of four guava (Psidium guajava L.) cultivars by using leaf linear dimensions. Leaves from guava cultivars 'Paluma', 'Sassaoka', 'Século 21', and 'Tailandesa' were sampled randomly from an experimental orchard. Leaf length and maximum leaf width were measured with a ruler in 120 leaves from each cultivar. Leaf areas were also measured with a leaf area meter. Linear and power models relating leaf area to length, width, and length × width were fitted to the data. The most precise models were regressed again with a new data set to validate the proposed models. The power model (y = 0.61 x 1.06 ) using the length × width was more precise and accurate to estimate the leaf area of all four cultivars evaluated herein, grown in field or greenhouse conditions. When only one leaf dimension was used, the power model (y = 1.81 x 1.93 ) using the width was the best-performing model. Although models with only one leaf dimension (length or width) have shown good performance for estimating the guava leaf area, models based on the leaf length × width were more precise.

show abstract

Leaf area estimation with nondestructive method in cassava

Cited by 8 publications

References 20 publications

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

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

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

Non-destructive models for estimating leaf area of guava cultivars

Contact Info

Product

Resources

About