Ajuste De Modelo De Predição De Área Foliar Do Feijoeiro Em Função De Medidas Lineares

Hara, Ânderson Takashi; Gonçalves, Antônio Carlos Andrade; Maller, André; Hashiguti, Heraldo Takao; Oliveira, Jhonatan Monteiro de

doi:10.13083/reveng.v27i2.912

Cited by 5 publications

(4 citation statements)

References 3 publications

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“…The significant results associated with the high coefficients of determination indicate that the fitted models can be used to estimate the leaflet area of M. oleifera, and the model that relates the product between leaflet length and width is the most indicated for this purpose. These results are consistent with those obtained by Morgado et al (2013) in species of passion fruit (Passiflora alata, P. coccinea, P. gibertii, P. ligularis, P. misera, P. mucronata, P. nitida, P. setacea), by Wang et al (2019) in broadleaf species, by Oliveira et al (2019) in 'caruru' (Talinum triangulare) and 'beldroega grande' (Talinum paniculatum), by Hara et al (2019) in common beans (Phaseolus vulgaris) and by Teobaldelli et al (2020b) when fitting allometric models in the estimation of the leaf area of Ocimum basilicum L., Mentha Spp., and Salvia Spp. When the precision of the model was evaluated through Pearson's correlation coefficient "r", it was possible to note that the models ELA = β 0 + β 1 *LW and ELA = β 0 + β 1 *L + β 2 *W had the best performance, with values higher than 0.98.…”

Section: Resultssupporting

confidence: 90%

“…The measurements of statistical performance of the fittings show that models that consider the product between leaflet length and width are more suitable for estimating the leaflet area of M. oleifera. In a study to fit models for common bean, Hara et al (2019) recorded "r" and "d" values of 0.99 and "c" value of 0.98 for the fitted models, and recommend these models to estimate the leaf area of this crop due to their quality and greater simplicity in operation. Wang et al (2019), when fitting regression models to estimate leaf area in broadleaf species, found RMSE values ranging from 4.04 to 4.63 for the model fitted for the product of leaf length by width, and these values were higher than those found in the present study.…”

Section: Resultsmentioning

confidence: 99%

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Allometric models for estimating Moringa oleifera leaflets area

et al. 2020

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ABSTRACT Moringa oleifera is a species of great economic, social and environmental importance, being employed for multiple purposes. Thus, the objective of this study was to fit regression models for estimating leaflets area as non-destructive method from linear measurements of leaflets of M. oleifera seedlings. The study was carried out at the Center for Agrarian and Environmental Sciences of the Paraíba State University. Three hundred leaflets of M. oleifera were collected and measured to determine length “L” and width “W” and, subsequently, leaflets area was quantified through ImageJ® software. Using 200 leaflets, the univariate regression models were fitted, adopting length, width or the product of these dimensions “LW” and a bivariate model based on length and width as predictor variables of the observed leaflets area as dependent variable. The remaining 100 leaflets were used to evaluate the relationship between the observed leaflet area “OLA” and the estimated leaflets area “ELA”, based on Pearson’s correlation “r”; Willmott’s index of agreement “d” and index of confidence “c”; and root mean square error “RMSE”. It was found that allometric models can be used with high accuracy and performance to estimate the leaflets area of M. oleifera as non-destructive method, and recommended model is ELA = 0.035 + 0.720*LW. Future research is suggested for fittings of multivariate models to estimate the leaf area of M. oleifera from varying leaflet sizes, complete leaves, leaf fresh and dry weights, history of life and age of plants.

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Section: Resultssupporting

confidence: 90%

Section: Resultsmentioning

confidence: 99%

Allometric models for estimating Moringa oleifera leaflets area

et al. 2020

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“…The higher is the R² values and the lower is the standard error of the estimate (SEE) values, the greater will be the accuracy of the model (MORGADO et al, 2013). The prediction of models can be influenced by leaves shape and their variations along the growth, which can be decisive for the development of high precision models (HARA et al, 2019). The relationship between the leaf area and the length, width and leaf weight adjusted to linear statistical model.…”

Section: Resultsmentioning

confidence: 99%

Leaf area estimation of Anacardium humile

et al. 2020

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The Anacardium humile A. St.- Hil. fruit tree has productive potential, being their fruits appreciated in the Cerrado region for having characteristic flavor, however, this species is still exploited in an extractive way, being necessary studies for its domestication. The aim of this work was to estimate the leaf area of Anacardium humile. One hundred leaves were collected in the biological collection from a genetic resources field and evaluated for length, width and fresh weight, and scanned at resolution of 300 dpi to determine the leaf area with the aid of the ImageJ image analysis program. Subsequently, a leaf disc with a diameter of 22.27 mm was detached at the basal portion of each leaf, in which the fresh weight of the discs was obtained. Data were submitted to descriptive analysis and the relationship among the features explained by Pearson’s correlation with the software Rbio. The data were also subjected to regression analysis to explain the relationship between leaf area and measurements of width, length and leaf weight, and to fit the proper statistical model with the software Origin. It was concluded that leaf area can be determined by image analysis software and linear measurements are correlated to leaf area.

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“…A área foliar foi estimada através de modelo matemático proposta por Hara et al, (2019), apresentado a seguinte equação: AFM= -2,20042 + 1,77534.C.L; sendo AFM a área foliar do trifólio medida (cm 2 ); C, o comprimento do folíolo (cm), e L, a largura (cm). Também foi estimada a produtividade potencial do feijoeiro de acordo com os valores obtidos da matéria seca dos grãos por planta, considerando um espaçamento de 40 x 50 cm em um hectare (ha), o que totalizou 50 mil plantas/ha.…”

Section: Crescimento E Produçãounclassified

Use of silicon in the growth and production of bean plants under different water conditions

Dan Tatagiba,

Carelli,

Figueiredo

et al. 2024

Sci. Electronic Arch

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O objetivo deste trabalho foi investigar o uso do silício (Si) no crescimento e produção do feijoeiro em diferentes condições hídricas no substrato. Para isso, plantas de feijão comum, Phaseolus vulgaris, cultivar SCS207 “Querência” do grupo carioca, foram cultivadas em vasos plásticos contendo 8 dm-3 de substrato no interior da casa de vegetação do Instituto Federal Catarinense, Campus Videira. As plantas cresceram com o substrato mantido próxima a capacidade de campo por 45 dias após a emergência (DAE), quando então, foram estabelecidos dois níveis de água, definidos a partir da porosidade total do solo, com valores de 50 (D+) e 100% (D-) do volume total de poros ocupados por água (Capacidade de Campo), sendo o controle da irrigação realizado pelo método gravimétrico (pesagem diária dos vasos), adicionando-se água até que a massa do vaso atingisse o valor prévio determinado, considerando-se a massa do solo e de água. A aplicação das doses de Si foi realizada através de um pulverizador manual com capacidade de 500 mL e um bico tipo leque para aplicação. Plantas controles onde não foram aplicadas o Si, foram pulverizadas com água destilada. Utilizou-se o fertilizante foliar mineral simples silicato de potássio (Flex Silício®) nas doses: 0 mL/L (Controle, Si-) e 6 mL/L (Si+) de silicato de potássio, aplicados aos 45, 60 e 75 DAE. O experimento foi montado em esquema fatorial 2×2, com quatro repetições, composto por dois níveis de água [100 e 50% da capacidade de campo, ou seja, sem déficit hídrico (D-) e com déficit hídrico (D+), respectivamente] e dois níveis de doses do Si [0,0 mL/L (Controle, Si-) e 6mL/L (Si+), dispostos num delineamento experimental inteiramente casualizado, em parcelas subdivididas no tempo (15, 30, 45, 60, 75 e 90 DAE). Cada unidade experimental foi composta de um vaso plástico contendo duas plantas. As avaliações de crescimento e desenvolvimento foram realizadas quinzenalmente, até o final do período experimental, iniciadas após o décimo quinto dia da emergência das plântulas. Em cada coleta foram analisados por planta em cada tratamento as seguintes variáveis: altura, diâmetro do coleto, número de vagens e estimativa da área foliar, a matéria seca das folhas, ramos e haste, raiz e total (folha, ramos e haste, e raiz). A produção foi mensurada através da massa seca de vagens e das sementes (grãos) por planta, realizada no final do experimento. Também foi estimada a produtividade potencial do feijoeiro de acordo com os valores obtidos da matéria seca dos grãos por planta, considerando um espaçamento de 40 x 50 cm em um hectare (ha), o que totalizou 50 mil plantas/ha. Os resultados obtidos mostraram, de modo geral, que o fornecimento de Si beneficiou o crescimento vegetativo e o desenvolvimento das plantas, em condições de adequada disponibilidade hídrica no substrato, como pode ser evidenciado pelos aumentos significativos encontrados para a altura, diâmetro do coleto, comprimento da raiz e área foliar. O fornecimento de Si aliado a adequada disponibilidade hídrica no substrato (Si+D-) contribuiu para os incrementos significativos na matéria seca das folhas, haste e ramos, raiz e total, levando a maior produção na matéria seca de grãos e da produtividade. O Si também contribuiu para a atenuação do déficit hídrico, melhorando o crescimento e rendimento do feijoeiro quando comparado com as plantas onde não era fornecido o elemento.

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Ajuste De Modelo De Predição De Área Foliar Do Feijoeiro Em Função De Medidas Lineares

Cited by 5 publications

References 3 publications

Allometric models for estimating Moringa oleifera leaflets area

Allometric models for estimating Moringa oleifera leaflets area

Leaf area estimation of Anacardium humile

Use of silicon in the growth and production of bean plants under different water conditions

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