Estimativa da área foliar da berinjela em função das dimensões foliares

Hinnah, Fernando Dill; Heldwein, Arno Bernardo; Maldaner, Ivan Carlos; Loose, Luís Henrique; Lucas, Dionéia Daiane Pitol; Bortoluzzi, Mateus Possebon

doi:10.1590/1678-4499.0083

Cited by 19 publications

(17 citation statements)

References 16 publications

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“…Similar results were obtained by Hinnah et al (2014), Serdar & Demirsoy (2006) and Keramatlou et al (2015) for eggplant, chestnut and Persian walnut, respectively. This result occurs because the product L.W is an area, thus requiring the adjustment of the reducing coefficients in each model.…”

Section: Resultssupporting

confidence: 86%

“…However, according to the tests of the models, it is clearly possible to use one general model (with no difference regarding the type of leaf), since the RMSE of the model that uses L.W or only width (W) is lower than 8.82 cm², below the values obtained by Kumar (2009), Toebe et al (2012 and Hinnah et al (2014), who found minimum RMSE in their models of 71.79 for saffron, 12.56 for snap bean and 33.2 for eggplant, respectively. However, for researchers who need greater accuracy in leaf area estimation, the models can be separated according to the stage of the plant, since in the vegetative stage (until the beginning of flowering) the plant shows more ovate leaves.…”

Section: G Hmentioning

confidence: 88%

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Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe leaf is a very important structure of the plants, since it allows gas exchanges and the transformation of light energy into chemical energy. This study aimed to generate and test mathematical models for leaf area estimation in canola based on leaf dimensions. Two experiments were conducted with canola in 2014, in which leaves were collected in different phenological stages with different sizes and shapes. Subsequently, leaf length, width and area were measured (with automatic meter) in 606 leaves, which included 371 ovate and 235 lanceolate leaves. The models were generated using length, width and length versus width as independent variables and leaf area as dependent variable. The models were validated using a group of leaves different from those used to generate the models. A total of 27 models were obtained and those with best statistics and higher simplicity were selected. The polynomial model LA = 0.88735 W 2 + 0.93503 W and the power model LA = 1.1282 W 1.9396 can be used for both types of leaves and have high accuracy in the estimation of canola leaf area.Modelos não destrutivos para determinação da área foliar em canola R E S U M O A folha é uma estrutura de grande importância para as plantas, visto que por meio dela ocorrem as trocas gasosas e a transformação da energia luminosa em energia química. O objetivo neste trabalho foi gerar e testar modelos matemáticos para a estimativa de área foliar de folhas de canola em função das dimensões foliares. Para isto foram realizados dois experimentos com canola no ano de 2014 e coletadas folhas em diferentes estágios fenológicos e de diferentes tamanhos e formas; posteriormente foram medidos o comprimento, a largura e a área foliar (com medidor automático) de 606 folhas dentre as quais 371 ovaladas e 235 lanceoladas. Os modelos foram gerados utilizando-se comprimento, largura e comprimento versus largura como variáveis independentes e a área foliar como variável dependente. Os modelos foram validados com um grupo distinto de folhas dos utilizados para a geração. Obteve-se o total de 27 modelos escolhendo-se aqueles que apresentaram as melhores estatísticas e maior simplicidade. Os modelos que podem ser utilizados para ambos os tipos de folhas e apresentam alta precisão de estimativa de área foliar em canola, são o modelo polinomial AF = 0,88735 L 2 + 0,93503 L e o modelo potencial AF = 1,1282 L 1,9396 . Key words:Brassica napus ovate leaves lanceolate leaves modeling Palavras-chave:Brassica napus folhas ovaladas folhas lanceoladas modelagem

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Section: Resultssupporting

confidence: 86%

Section: G Hmentioning

confidence: 88%

Non-destructive models for leaf area determination in canola

Tartaglia

Righi

Rocha

et al. 2016

Rev. bras. eng. agríc. ambient.

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“…In addition to that, general models based on the 400 leaves [flags and other (nonflag) leaves] were generated. Linear, quadratic and power models have already been generated and validated in various agricultural crops (Rouphael et al, 2010;Toebe et al, 2010;Cargnelutti Filho et al, 2012;Galzerano et al, 2012;Toebe et al, 2012a;Toebe et al, 2012b;Hinnah et al, 2014;Schawb et al, 2014;Cargnelutti Filho et al, 2015a;Cargnelutti Filho et al, 2015b).…”

Section: Methodsmentioning

confidence: 99%

“…These models can be used to determine the crop leaf area in the field, maintaining the plant integrity and allowing the monitoring of the crop growth and development. Mathematical models for leaf area estimation in function of length, width or product of length×width have already been developed for coffee (Favarin et al, 2002), hazelnut (Cristofori et al, 2007), eggplant (Hinnah et al, 2014), rose (Rouphael et al, 2010), crambe (Toebe et al, 2010), Aruana grass (Galzerano et al, 2012), forage turnip (Cargnelutti Filho et al, 2012), snap bean (Toebe et al, 2012a), jack bean (Toebe et al, 2012b), gladiolus (Schawb et al, 2014), pigeon pea (Cargnelutti Filho et al, 2015a) and canola (Cargnelutti Filho et al, 2015b), among other crops.…”

Section: Introductionmentioning

confidence: 99%

Leaf area estimation in triticale by leaf dimensions

Toebe

Melo

Souza

et al. 2019

Agraria

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The objective of this study was to estimate the leaf area of triticale in function of linear dimensions from flags and other (non-flag) leaves. An experiment was conducted with the IPR111 cultivar in the 2016 agricultural year. At 93 days after sowing, 400 leaves were collected in order to generate the mathematical models of leaf area estimation in function of linear leaf dimensions. A total of 200 leaves were collected at 106 days after sowing in order to validate the models. In each of the 600 leaves, the length (L) and the width (W) were measured, and the product of length times width (L×W) and the ratio between length and width (L/W) were estimated. Afterwards, the leaves were digitized and the real leaf area determined by means of digital images. Linear, quadratic and power models were generated and validated for the estimation of the real leaf area (Y). The morphology of flag and other (non-flag) leaves is distinct and, thus, leaf area estimation models should be generated for each leaf type. In triticale, the most precise models of leaf area estimation are those that use L×W as the explanatory variable.

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“…A altura foi mensurada com o auxílio de uma régua graduada, medindo-se a partir do colo ao ápice da muda, o diâmetro do caule foi medido no meio da planta com o auxílio de um paquímetro, o número de folhas por planta foram quantificadas visualmente considerando-se apenas as folhas ativas. Na determinação da área foliar foram medidos: o maior comprimento longitudinal e transversal, segundo a metodologia descrita por Hinnah et al, (2014). O comprimento de raiz foi obtido medindo-se a partir do colo ao ápice da raiz logo após cuidadosa lavagem do sistema radicular.…”

Section: Introductionunclassified