Non-destructive estimation of leaf area for different plant ages and accessions of<i>Capsicum annuum</i>L.

Swart, E.; Groenwold, R.; Kanne, H.J.; Stam, P.; Marcelis, L.F.M.; Voorrips, Roeland E.

doi:10.1080/14620316.2004.11511840

Cited by 60 publications

(53 citation statements)

References 19 publications

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“…quadratic model using L and W. SOUZA et al (2015), reported that values of MSE, RMSE, and PRESS are also important to validate a model. According to SWART et al (2004), models are improved when the quadratic terms were added. Also, BAKKER (1989) and SWART et al (2004), indicated that the leaf area in Capsicum annuum, can be estimated only with the width of leaves.…”

Section: Resultsmentioning

confidence: 99%

“…According to SWART et al (2004), models are improved when the quadratic terms were added. Also, BAKKER (1989) and SWART et al (2004), indicated that the leaf area in Capsicum annuum, can be estimated only with the width of leaves. As well, KLÄRING et al (1995), indicated that the leaf area of Capsicum might can be predicted based on a model with L 2 only.…”

Section: Resultsmentioning

confidence: 99%

“…Select models are reliable and can be useful for the estimation of LA with the relationship (W, L and LW) to be measured in situ, without destruction of the plant. SWART et al (2004), estimated the leaf area with a nondestructive method in plants of different ages of Capsicum annuum. They described that with simple measures from the product of the length, the width and the relationship between the calculated and measured area was higher (r 2 =0.996).…”

Section: Resultsmentioning

confidence: 99%

“…It is also an indicative parameter of plant growth. Among the various studies to estimate leaf area we can enumerate: Phaseolus vulgaris (MARTIN et al, 2013), Rosa hybrida (GAO et al, 2012), Solanum tuberosum (JADOSKI et al, 2012), Tropaeolum majus (LOPES et al, 2007), Castanea sativa (SERDAR & DEMIRSOY, 2006), Prunus persica (DEMIRSOY et al, 2004) and particularly Capsicum annuum (BAKKER 1989;RAY & SINGH 1989;KLÄRING et al, 1995;SWART et al, 2004;CARVALHO et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Non-destructive models to estimate leaf area on bell pepper crop

et al. 2016

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The leaf area determination are extremely important in agronomic and physiological studies, as they provide valuable information in vegetable metabolism RESUMO A determinação da área foliar é importante, em estudos agronômicos e fisiológicos, para a obtenção de informações sobre o metabolismo vegetal e as técnicas utilizadas devem ser simples. O objetivo deste estudo foi desenvolver modelos polinomiais para estimar a área foliar (AF). Foram utilizados os métodos de discos foliares e software ImageJ, com as medidas do comprimento (C) e da largura (L), e a relação entre o comprimento vezes a largura (CL) em folhas da cultura do pimentão, em dois ensaios com dois híbridos, Arcade e Impacto, e correlacionar os valores encontrados pelos dois métodos. Através

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Non-destructive models to estimate leaf area on bell pepper crop

et al. 2016

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“…In 1911, scientists suggested for the first time estimating plant LA through its relation with allometric leaf measurements, using the width and length of the leaf [9]. Since then, this method has been applied to different crops such as tomatoes and cucumbers [10], grapevines [11], peppers [12], and soybeans [13], as well as to fruit trees, such as hazelnut [14], and to ornamental crops such as anthurium [15], begonia [16], and cut roses [1,5]. According to Zhang and Liu [16], this indirect and non-destructive approach can provide precise and in situ LA estimations.…”

Section: Introductionmentioning

confidence: 99%

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

2016

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Non-destructive, accurate, user-friendly and low-cost approaches to determining crop leaf area (LA) are a key tool in many agronomic and physiological studies, as well as in current agricultural management. Although there are models that estimate cut rose LA in the literature, they are generally designed for a specific stage of the crop cycle, usually harvest. This study aimed to estimate the LA of cut "Red Naomi" rose stems in several phenological phases using morphological descriptors and allometric measurements derived from image processing. A statistical model was developed based on the "multiple stepwise regression" technique and considered the stem height, the number of stem leaves, and the stage of the flower bud. The model, based on 26 stems (232 leaves) collected at different developmental stages, explained 95% of the LA variance (R 2 = 0.95, n = 26, p < 0.0001). The mean relative difference between the observed and the estimated LA was 8.2%. The methodology had a high accuracy and precision in the estimation of LA during crop development. It can save time, effort, and resources in determining cut rose stem LA, enhancing its application in research and production contexts.

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Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes

Shi

Schrader

et al. 2020

American J of Botany

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The nondestructive measurement of leaf area is important for expediting data acquisition in the field. The Montgomery equation (ME) assumes that leaf area (A) is a proportional function of the product of leaf length (L) and width (W), i.e., A = cLW, where c is called the Montgomery parameter. The ME has been successfully applied to calculate the surface area of many broad-leaved species with simple leaf shapes. However, whether this equation is valid for more complex leaf shapes has not been verified. METHODS: Leaf A, L, and W were measured directly for each of 5601 leaves of 15 vine species, and ME and three other models were used to fit the data. All four models were compared based on their root mean square errors (RMSEs) to determine whether ME provided the best fit. RESULTS: The ME was a reliable method for estimating the A of all 15 species. In addition, the numerical values of 13 of the 15 values of c fell within a previously predicted numerical range (i.e., between 1/2 and π/4). The data show that the numerical values of c are largely affected by the value of W/L, the concavity of the leaf base, and the number of lobes on the lamina. CONCLUSIONS: The Montgomery parameter can reflect the influence of leaf shape on leafarea calculations and can serve as an important tool for nondestructive measurements of leaf area for many broad-leaved species and for the investigation of leaf morphology.

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Non-destructive estimation of leaf area for different plant ages and accessions ofCapsicum annuumL.

Cited by 60 publications

References 19 publications

Non-destructive models to estimate leaf area on bell pepper crop

Non-destructive models to estimate leaf area on bell pepper crop

Estimating the Leaf Area of Cut Roses in Different Growth Stages Using Image Processing and Allometrics

Nondestructive estimation of leaf area for 15 species of vines with different leaf shapes

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