Number of leaves needed to model leaf area in jack bean plants using leaf dimensions

Leaf area estimation models based on linear leaf dimensions are an important method because their application is not destructive to the leaves. For these models to be reliable, it is important that the estimation of model parameters is accurate, and for that to occur, the models must be generated u...

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Main Authors: Alberto Cargnelutti Filho, Marcos Toebe, Cláudia Burin, Bruna Mendonça Alves, Ismael Mario Márcio Neu
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2015-11-01
Series:Bioscience Journal
Subjects:
Online Access:https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/26135
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author Alberto Cargnelutti Filho
Marcos Toebe
Cláudia Burin
Bruna Mendonça Alves
Ismael Mario Márcio Neu
author_facet Alberto Cargnelutti Filho
Marcos Toebe
Cláudia Burin
Bruna Mendonça Alves
Ismael Mario Márcio Neu
author_sort Alberto Cargnelutti Filho
collection DOAJ
description Leaf area estimation models based on linear leaf dimensions are an important method because their application is not destructive to the leaves. For these models to be reliable, it is important that the estimation of model parameters is accurate, and for that to occur, the models must be generated using an adequate sample size (number of leaves). The objective of this study was to determine the number of leaves necessary to accurately model the leaf area of jack beans (Y), determined by digital photos, according to the width of the central leaflet (x), by a power model (Y = axb) generated through an iterative process. Accordingly, an experiment was performed in a 256 m2 area. A total of 745 leaves were randomly collected at six different crop development stages (29, 43, 57, 73, 87 and 101 days after emergence). Each leaf was comprised of a left, central and right leaflet. The width of the central leaflet (x) was measured on the 745 leaves. Leaf area (sum of the area of the left, central and right leaflets; Y) was then determined using a digital photo method. The number of leaves necessary for the estimation of the parameters a and b and the coefficient of determination (R2) of the power model were determined through resampling with replacement. The power model (Ŷ = 4.2049x1.8215, R2 = 0.9701), based on the width of the central leaflet was determined to be adequate for estimating jack bean leaf area. Data collected from a sample of 200 leaves were determined to be sufficient for constructing an accurate power model for the leaf area of jack beans (Y) as a function of the width of the central leaflet (x), based on determinations of leaf area using digital photos.
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spelling doaj.art-6907d3a1274b46eaa9edc4563d86dd072022-12-22T00:03:36ZengUniversidade Federal de UberlândiaBioscience Journal1981-31632015-11-01316Number of leaves needed to model leaf area in jack bean plants using leaf dimensions Alberto Cargnelutti Filho0Marcos Toebe1Cláudia Burin2Bruna Mendonça Alves3Ismael Mario Márcio Neu4Universidade Federal de Santa MariaUniversidade Federal de Santa MariaUniversidade Federal de Santa MariaUniversidade Federal de Santa MariaUniversidade Federal de Santa Maria Leaf area estimation models based on linear leaf dimensions are an important method because their application is not destructive to the leaves. For these models to be reliable, it is important that the estimation of model parameters is accurate, and for that to occur, the models must be generated using an adequate sample size (number of leaves). The objective of this study was to determine the number of leaves necessary to accurately model the leaf area of jack beans (Y), determined by digital photos, according to the width of the central leaflet (x), by a power model (Y = axb) generated through an iterative process. Accordingly, an experiment was performed in a 256 m2 area. A total of 745 leaves were randomly collected at six different crop development stages (29, 43, 57, 73, 87 and 101 days after emergence). Each leaf was comprised of a left, central and right leaflet. The width of the central leaflet (x) was measured on the 745 leaves. Leaf area (sum of the area of the left, central and right leaflets; Y) was then determined using a digital photo method. The number of leaves necessary for the estimation of the parameters a and b and the coefficient of determination (R2) of the power model were determined through resampling with replacement. The power model (Ŷ = 4.2049x1.8215, R2 = 0.9701), based on the width of the central leaflet was determined to be adequate for estimating jack bean leaf area. Data collected from a sample of 200 leaves were determined to be sufficient for constructing an accurate power model for the leaf area of jack beans (Y) as a function of the width of the central leaflet (x), based on determinations of leaf area using digital photos. https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/26135Canavalia ensiformisSample sizePower model.
spellingShingle Alberto Cargnelutti Filho
Marcos Toebe
Cláudia Burin
Bruna Mendonça Alves
Ismael Mario Márcio Neu
Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
Bioscience Journal
Canavalia ensiformis
Sample size
Power model.
title Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
title_full Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
title_fullStr Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
title_full_unstemmed Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
title_short Number of leaves needed to model leaf area in jack bean plants using leaf dimensions
title_sort number of leaves needed to model leaf area in jack bean plants using leaf dimensions
topic Canavalia ensiformis
Sample size
Power model.
url https://seer-dev.ufu.br/index.php/biosciencejournal/article/view/26135
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