Estimação da área foliar de feijão guandu por dimensões foliares

Filho, Alberto Cargnelutti; Toebe, Marcos; Alves, Bruna Mendonça; Burin, Cláudia

doi:10.1590/0103-8478cr20140551

Cited by 10 publications

(12 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The coefficient of variation was higher for L×W and Y (Table 1) when compared to the values of the other variables (L, W and L/W), similar to the results observed by Cargnelutti Filho et al (2015a) in pigeon pea and by Toebe et al (2012a) in jack bean. The high values from coefficients of variation occurred because of the great data variability, which contributes to obtaining models with a wide use spectrum.…”

Section: Resultssupporting

confidence: 81%

“…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%

See 2 more Smart Citations

Leaf area estimation in triticale by leaf dimensions

Toebe

Melo

Souza

et al. 2019

Agraria

View full text Add to dashboard Cite

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.

show abstract

Section: Resultssupporting

confidence: 81%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Leaf area estimation in triticale by leaf dimensions

Toebe

Melo

Souza

et al. 2019

Agraria

View full text Add to dashboard Cite

show abstract

“…In several other leaf area modeling studies, the equation estimated based on simple linear regression was also indicated, as in apple (BOSCO et al, 2012), Arabica coffee (SCHMILDT et al, 2014) and pigeon pea (CARGNELUTTI FILHO et al, 2015).…”

mentioning

confidence: 99%

Leaf Area Estimation in Litchi by Means of Allometric Relationships

et al. 2017

View full text Add to dashboard Cite

ABSTRACT-Obtaining leaf area is critical in several agronomic studies, being one of the important instruments to assess plant growth. The aim of this study was to estimate equations and select the most appropriate in determining leaf area in litchi (Litchi chinensis Sonn.). From the linear dimensions of length (L) and maximum width (W) of leaf limb, equations were estimated using linear, quadratic, potential and exponential models. The linear regression equation using the product of the length by maximum width, given by Ŷ = 0.2885 + 0.662 (L.W) is the one that best expresses the leaf area estimation of litchi tree. Index terms: Litchi chinensis Sonn., leaf dimension, non-destructive method. ESTIMATIVA DA ÁREA FOLIAR EM LICHIEIRA POR MEIO DE RELAÇÕES ALOMÉTRICASRESUMO -A obtenção da área foliar é fundamental em vários estudos agronômicos, sendo um dos importantes instrumentos que avaliam o crescimento de uma planta. O objetivo do trabalho foi estimar equações e selecionar a mais apropriada na determinação não destrutiva da área foliar em Lichieira (Litchi chinensis Sonn.). A partir das dimensões lineares de comprimento (C) e largura máxima (L) do limbo foliar, as equações foram estimadas para os modelos linear, quadrático, potência e exponencial. A equação de regressão linear simples, utilizando o produto do comprimento pela máxima largura, dada por Ŷ = 0,2885 + 0,662 (C.L), é a que melhor expressa a estimativa da área foliar de Lichieira. Termos para indexação: Litchi chinensis Sonn., dimensão foliar, método não destrutivo.

show abstract

“…Afterwards, models are generated and validated that estimate the leaf area as a function of these measures. Based on these models, it is possible to measure linear dimensions of the leaves in the field and to estimate the area in different stages of growth and development, without the need to destroy the plants (CARGNELUTTI FILHO et al, 2015).…”

Section: Botanic and Physiologymentioning

confidence: 99%

Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

et al. 2018

View full text Add to dashboard Cite

The estimation of pineapple total leaf area by simple, fast and non-destructive methods allow inferences related to carbon fixation estimative, biotic and abiotic damages and correlating positively with yield. The objective was to estimate D leaf area and total leaf area and of ‘Pérola’ pineapple plants from biometric measurements. For this purpose, 125 slips were selected and standardized by weight for planting in pots. Nine months after planting in a greenhouse, the plants were harvested to evaluate the total leaf area of the plant, D leaf area and D leaf length and width using a portable leaf area meter. Pearson correlation analysis was made and it was observed significative positive and strong correlation among the studied variables. Then, regression models were adjusted. It was observed that the D leaf area of ‘Pérola’ pineapple can be estimated from the length and width of this same leaf and the total leaf area can be estimated from the D leaf area.

show abstract

Estimação da área foliar de feijão guandu por dimensões foliares

Cited by 10 publications

References 12 publications

Leaf area estimation in triticale by leaf dimensions

Leaf area estimation in triticale by leaf dimensions

Leaf Area Estimation in Litchi by Means of Allometric Relationships

Estimation of total leaf area and D leaf area of pineapple from biometric characteristics

Contact Info

Product

Resources

About