A simple model for estimating leaf area of hazelnut from linear measurements

Cristofori, Valerio; Rouphael, Youssef; Gyves, Emilio Mendoza-de; Bignami, Cristina

doi:10.1016/j.scienta.2007.02.006

Cited by 105 publications

(77 citation statements)

References 13 publications

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“…Generally, leaf area is determined through processes that are time-consuming and destructive [5], which often require the actual area of each leaf. Leaf area estimation may be improved by using multiple regressions with leaf length and width, dimensions that are closely related to the leaf area.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, the utilization of regression equations for estimating leaf area through simple measurements of leaf dimensions is an inexpensive, easy, rapid, accurate and non-destructive alternative for assessing general plant leaf area in the field [5,9]. However, any proposed model should be validated with different leaf samples before using it for other experiments [6], as the accuracy of the prediction is dependent on the variation of leaf shape amongst species or cultivars [10].…”

Section: Introductionmentioning

confidence: 99%

“…Many non-destructive models have been recommended for estimating individual leaf area from simple measurements for several tree species [4,5,7,[8][9][10][11][12][13][14][15], vegetables [2,[16][17][18], ornamentals [19][20][21] and other important crops [22], but a leaf area estimation model for citrus genotypes has not been found. The reported models have shown that there are close relationships among leaf width, leaf length and leaf area [4].…”

Section: Introductionmentioning

confidence: 99%

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A simple and non-destructive model for individual leaf area estimation in citrus

Mazzini¹,

Ribeiro²,

Pio³

2010

Fruits

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-Introduction. Leaf area is often related to plant growth, development, physiology and yield. Many non-destructive models have been proposed for leaf area estimation of several plant genotypes, demonstrating that leaf length, leaf width and leaf area are closely correlated. Thus, the objective of our study was to develop a reliable model for leaf area estimation from linear measurements of leaf dimensions for citrus genotypes. Materials and methods. Leaves of citrus genotypes were harvested, and their dimensions (length, width and area) were measured. Values of leaf area were regressed against length, width, the square of length, the square of width and the product (length × width). The most accurate equations, either linear or secondorder polynomial, were regressed again with a new data set; then the most reliable equation was defined. Results and discussion. The first analysis showed that the variables length, width and the square of length gave better results in second-order polynomial equations, while the linear equations were more suitable and accurate when the width and the product (length × width) were used. When these equations were regressed with the new data set, the coefficient of determination (R 2 ) and the agreement index 'd' were higher for the one that used the variable product (length × width), while the Mean Absolute Percentage Error was lower. Conclusion. The product of the simple leaf dimensions (length × width) can provide a reliable and simple non-destructive model for leaf area estimation across citrus genotypes. Résumé -Introduction. La surface foliaire est souvent liée à la croissance, le développement, la physiologie et le rendement des plantes. Beaucoup de modèles non destructifs ont été proposés pour estimer la surface foliaire de plusieurs génotypes végétaux ; ils ont montré que la longueur et la largeur des feuilles, de même que la surface foliaire, étaient étroitement corrélées. L'objectif de notre étude a donc été de développer un modèle fiable pour estimer la surface foliaire à partir de mesures linéaires des dimensions de feuilles pour les génotypes d'agrumes. Matériel et méthodes. Les feuilles de certains génotypes d'agrumes ont été récoltées et leurs dimensions (longueur, largeur et surface) ont été mesurées. La surface foliaire a été corrélée à la longueur, la largeur, le carré de la longueur, le carré de la largeur et le produit (longueur × largeur). Les équations les plus précises, qu'elles soient linéaires ou polynomiales de second ordre, ont été testées à nouveau avec un nouvel ensemble de données, puis l'équation la plus fiable a été définie. Résultats et discussion. La première analyse a montré que les variables longueur, largeur et carré de la longueur donnaient de meilleurs résultats dans les équations polynomiales de second ordre, tandis que les équations linéaires étaient plus appropriées et précises lorsque la largeur et le produit (longueur × largeur) étaient utilisés. Lorsque ces équations ont été utilisées avec le nouvel ensemble de données, le coeffici...

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A simple and non-destructive model for individual leaf area estimation in citrus

Mazzini¹,

Ribeiro²,

Pio³

2010

Fruits

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“…If VIF was larger than 10 or if T was smaller than 0.1, one of the variables (L or W) should be excluded from the model (Cristofori et al, 2007;. We verified VIF<10 (2.406) and T>0.1 (0.416) from a 100 leaf sample, indicating L and W could be both included in the model to predict the leaf area of C. diffusa.…”

Section: Methodsmentioning

confidence: 67%

Non-Destructive Model to Predict Commelina diffusa Leaf Area

2018

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-Leaf length (L), leaf width (W), and leaf area (LA) were measured from 100 leaves aiming to determine a simple linear equation (Y=a*X) to predict the leaf area of Commelina diffusa, an important weed infesting annual and perennial crops in Brazil and worldwide. Results indicate the equation LA=0.7*LW reliably estimates the leaf area of C. diffusa, after correlating LA with LW, and then validating that equation by analyzing four new 25-leaf samples.Keywords: plant growth, biometry, non-destructive method, mathematical model, climbing dayflower. RESUMO -Comprimento da folha (C), largura da folha (L) e área foliar (AF) foram medidos em 100 folhas com o objetivo de determinar uma equação linear simples (Y=a*X) para estimar a área foliar de Commelina diffusa, importante planta daninha que infesta culturas anuais e perenes no Brasil e no mundo. Os resultados indicam que a equação AF=0,7*CL estima confiavelmente a área foliar de C. diffusa, após correlacionar AF com CL e, em seguida, proceder à validação da equação analisando quatro novas amostras de 25 folhas.Palavras-chave: crescimento de plantas, biometria, método não destrutivo, modelo matemático, trapoeraba.

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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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A simple model for estimating leaf area of hazelnut from linear measurements

Cited by 105 publications

References 13 publications

A simple and non-destructive model for individual leaf area estimation in citrus

A simple and non-destructive model for individual leaf area estimation in citrus

Non-Destructive Model to Predict Commelina diffusa Leaf Area

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

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