Equações para estimar área foliar de folíolos de Acrocomia aculeta

Mota, Clenilso Sehnen; Leite, Hélio Garcia; Cano, Marco Antônio Oliva

doi:10.4336/2014.pfb.34.79.684

Cited by 15 publications

(19 citation statements)

References 10 publications

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“…The equations that depend on the product (LxW) present higher coefficients of determination, lower AIC and lower standard error of the estimate for regression models in comparison with those observed for equations elaborated with L or W, except for the exponential model, in which the coefficient of determination was lower and the AIC was greater than the others (R 2 = 0.8434 and AIC = 1957.93) (Table 4). Similar results were found in the literature for other forest species, such as Amburana cearenses, Caesalpinia ferrea, and Caesalpinia pyramidalis (Silva et al, 2013), Schinopsis brasiliensis and Tabebuia aurea (Queiroz et al, 2013), Acrocomia aculeata (Mota et al, 2014) or even for cultivation species, such as Crambe abyssinica (Toebe et al, 2010), Mangifera indica (Lima et al, 2012), Malus domestica (Bosco et al, 2012) and Arachis hypogae (Cardozo et al, 2014), etc.…”

Section: Resultssupporting

confidence: 86%

“…Therefore, the determination of the leaf area may be estimated using the dimensional parameters of the leaf (length, width, and length by width), which present good correlations with the leaf surface, adapting regression equations to obtain an estimate between the real leaf area and the linear dimensional parameters of the leaf without destroying the sample (Nascimento et al, 2002;Lizaso et al, 2003). This non-destructive method has been used successfully in several other studies, both in cultivated (Oliveira & Santos, 1995;Uzun & Çelik, 1999;Lizaso et al, 2003;Blanco & Folegatti, 2005;Demirsoy et al, 2005;Tsialtas & Maslaris, 2005;Antunes et al, 2008;Pompelli et al, 2012) and forest species (Silva et al, 2007(Silva et al, , 2013Cabezas-Gutiérrez et al, 2009;Queiroz et al, 2013;Mota et al, 2014;Keramatlou et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

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Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

2018

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This research aimed to determine an equation to estimate the leaf area of Erythroxylum simonis using the length and width of leaf blades. Two hundred leaf blades of this species were collected in Mata do Pau-Ferro, a State Park located in Areia, PB, Brazil. Regression analyses were used to determine the estimation equations. The linear, linear without intercept, quadratic, cubic, power and exponential statistical models were used. The criteria used for model selection were based on an examination of the coefficient of determination, the Akaike information criterion and standard error of the estimate. All the equations presented can be used to estimate the leaf area of E. simonis. From a practical point of view, the linear regression equation without intercept involving the product between length and width is recommended, using the equation Y=0.6426*LW, which corresponds to 64.26% of the product between length and width, with a coefficient of determination of 0.9936.

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Section: Resultssupporting

confidence: 86%

Section: Introductionmentioning

confidence: 99%

Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

2018

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“…(Candido, Coelho, Maia, Cunha, & Silva, 2013), Acrocomia aculeata Jacq. (Mota, Leite, & Cano, 2014), Merremia aegyptia (L.) Urban (Assis, Linhares, Souza, Pereira, & Almeida, 2015), and for cultivated species, such as Ananas comosus L. (Merrill) (Francisco, Diotto, Folegatti, Silva, & Piedade, 2014), Vigna unguiculata (L.) (Oliveira et al, 2015), Mangifera indica L. (Silva, Cabanez, Mendonça, Pereira, & Amaral, 2015), Prunus persica (L.) (Sachet, Penso, Pertille, Guerrezii, & Citadin, 2015), Smallanthus sonchifolius (Poepp.) H. Rob.…”

Section: Resultsmentioning

confidence: 99%

Leaf area estimation for <i>Psychotria carthagenensis</i> and <i>Psychotria hoffmannseggiana</i> as a function of linear leaf dimensions

Ribeiro¹,

Coêlho

Figueiredo

et al. 2019

Acta Sci. Biol. Sci.

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Determining leaf area is important for studies involving plant growth and development. The aim of the present study was to obtain models for estimating leaf area of Psychotria carthagenensis and Psychotria hoffmannseggiana using linear measurements of leaf blades (length and width). Two hundred leaf blades of each species were collected in Parque Estadual Mata do Pau-Ferro in the municipality of Areia, Paraíba, Northeast Brazil. The equations evaluated for producing potential models included the following: linear, quadratic, potential and exponential. The criteria used to determine the best model(s) were as follows: high coefficient of determination (R²), low root-mean-square error (RMSE), low Akaike information criterion (AIC), high Willmott concordance index (d) and a BIAS ratio close to zero. All evaluated models satisfactorily estimated leaf area for the two species, but the equation ŷ = 0.6373 * LW 0.9804 was the most appropriate for P. carthagenensis, while ŷ = 0.6235 * LW 0.9712 was the most appropriate for P. hoffmannseggiana.

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“…Leaf area can be determined by different methods and are classified as direct or indirect and destructive or non-destructive (MALAGI et al, 2010). Destructive methods are considered simple and accurate but use highcost equipment and take longer for analysis, as well as causing total damage to the plant (MOTA et al, 2014). In contrast, non-destructive methods allow accurate and quick multiple evaluations of the same plant without destroying the leaves, thus enabling plant growth to be monitored over space and time.…”

Section: Introductionmentioning

confidence: 99%

A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

Ribeiro

Figueiredo

Coêlho

et al. 2019

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The determination of leaf area is of fundamental importance in studies involving ecological and ecophysiological aspects of forest species. The objective of this research was to adjust an equation to determine the leaf area of Ceiba glaziovii as a function of linear measurements of leaves. Six hundred healthy leaf limbs were collected in different matrices, with different shapes and sizes, in the Mata do Pau-Ferro State Park, Areia, Paraíba state, Northeast Brazil. The maximum length (L), maximum width (W), product between length and width (L.W), and leaf area of the leaf limbs were calculated. The regression models used to construct equations were: linear, linear without intercept, quadratic, cubic, power and exponential. The criteria for choosing the best equation were based on the coefficient of determination (R²), Akaike information criterion (AIC), root mean square error (RMSE), Willmott concordance index (d) and BIAS index. All the proposed equations satisfactorily estimate the leaf area of C. glaziovii, due to their high determination coefficients (R² ≥ 0.851). The linear model without intercept, using the product between length and width (L.W), presented the best criteria to estimate the leaf area of the species, using the equation 0.4549*LW.

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Equações para estimar área foliar de folíolos de Acrocomia aculeta

Cited by 15 publications

References 10 publications

Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

Leaf Area Estimate of Erythroxylum simonis Plowman by Linear Dimensions

Leaf area estimation for <i>Psychotria carthagenensis</i> and <i>Psychotria hoffmannseggiana</i> as a function of linear leaf dimensions

A NON-DESTRUCTIVE METHOD FOR ESTIMATING LEAF AREA OF Ceiba glaziovii (Kuntze) K. Schum.

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