Dimensões lineares da folha e seu uso na determinação do perfil vertical foliar de gladíolo

Schwab, Natália Teixeira; Streck, Nereu Augusto; Rehbein, Amanda; Ribeiro, Bruna San Martin Rolim; Ulhmann, Lilian Osmari; Langner, Josana Andréia; Becker, Camila Coelho

doi:10.1590/brag.2014.014

Cited by 21 publications

(23 citation statements)

References 11 publications

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“…1 and 2). Positive correlation was also found for other species as reported by other authors that used equations considering the measurements rib length (Fideles Filho et al, 2010), blade width (Toebe et al, 2011) and/or the product of length and width of the blade (Lucena et al, 2011;Cargnelutti Filho et al, 2012;Bosco et al, 2012, Schwab et al, 2014, which had coefficient of determination above 90% when compared with the actual leaf areas. However, significant correlations are not enough to prove the efficiency of an equation, and it is necessary to determine whether the estimated area is different from the actual area, avoiding estimates that do not represent the true leaf area.…”

Section: Correlation Between Estimated and Actual Leaf Areasupporting

confidence: 80%

Indirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner)

Espindula¹,

Passos²,

Araújo³

et al. 2018

Aust J Crop Sci

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Leaf area is an important parameter in agronomic and physiological studies; thereby, the techniques used for its determination should be simple, fast and accurate. The objective of this study was to evaluate the efficiency of an equation for the indirect determination of leaf area in 'Conilon' (Coffea canephora) genotypes cultivated in the Western Amazon. The experiment was carried out in Porto Velho, Rondônia, in August and September 2011. It was arranged in a completely randomized 2 × 15 factorial design combining two methods of determining leaf area (estimated and actual) and fifteen 'Conilon' coffee genotypes, with 64replicates. The estimated leaf area was determined by the equation LA = 0.3064 × Age -0.0556 × LMR -2.0133 (R 2 =0.98), developed by Partelli et al. (2006), while the actual leaf area was obtained from images of leaves scanned into digital format using an image scanner. The genotypes belong to the Coffee Breeding Program at Embrapa Rondônia. The efficiency of the equation for determining leaf area of 'Conilon' coffee varies according to the genotype evaluated; therefore, the equation must not be used without prior calibration. As the species is a perennial crop and the number of commercial genotypes widely accepted by farmers is restricted, the validation of the equation or the development of new equations capable of estimating the leaf area of the cultivated genotypes can help in the management of coffee plantationsn.

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Section: Correlation Between Estimated and Actual Leaf Areasupporting

confidence: 80%

Indirect estimation of leaf area in genotypes of 'Conilon' coffee (Coffea canephora Pierre ex A. Froehner)

Espindula¹,

Passos²,

Araújo³

et al. 2018

Aust J Crop Sci

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“…When determining models to calculate the leaf area for fig trees, Souza et al (2014) found that most of the tested mathematical models showed performance "c" indices considered optimum or good. Similar trends were observed in guava and gladioli, where the confidence indices ranged from 0.636 to 0.9371 (Schwab et al, 2014;Silva et al, 2015), which according to Table 1 are classified with performance ranging from "good" to "excellent".…”

Section: Resultssupporting

confidence: 58%

“…A number of methods have been developed to estimate leaf area such as direct or destructive methods, comprising the removal of the leaves, and indirect or nondestructive methods, using mathematical models and leaf linear measurements, which facilitates the work in the field (Sachet et al, 2015;Schwab et al, 2014;Tartaglia et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Non-destructive estimation of leaf area in passion fruit (Passiflora edulis L.)

Souto¹,

Cordeiro²,

Rosado³

et al. 2017

Aust J Crop Sci

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The yellow passion fruit is the most commonly cultivated species of the genus Passiflora in commercial plantations in Brazil. Obtaining accurate and easy to perform measurements for determination of leaf area in passion fruit is crucial to understand the interaction between the plant and the environment. The objective of this study was to develop reliable mathematical equations to directly estimate leaf area in passion fruit using linear measurements. Passion fruit leaves may exhibit varying morphology across phenological stages, with lanceolate, bilobed or trilobed leaves. For each morphological pattern, 100 leaves without defects were collected. The real leaf area was measured with a LI-COR 3100 area meter and regression equations were estimated for real leaf area and measurements of length, width, and their corresponding products, using a millimeter ruler. The results showed that determination of leaf area can be easily and accurately performed for passion fruit leaves of varying morphology, using the product of the linear measurements of length and width. The linear equations chosen for determining leaf area through the product of width and length were 0.25 + 0.64x (lanceolate), -4.82 + 0.69x (bilobed) and -0.81 + 0.54x (trilobed).

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“…Thus, it is indicated that the models of dwarf pigeon pea leaf area estimation in function of the product of the central leaflet length times the width should be preferentially used when the higher accuracy is the objective in relation to the other models that are based only on length or width of the central leaflet, as confirmed by Schwab et al (2014) and Schmildt et al (2015). However, the power model based on the width of the central leaflet can be used, with a small reduction of accuracy, but being less laborious, since only one measured variable is required.…”

Section: Resultsmentioning

confidence: 87%