scholarly journals A non-destructive method for estimating onion leaf area

2015 ◽  
Vol 54 (1) ◽  
Author(s):  
J.I. Córcoles ◽  
A. Domínguez ◽  
M.A. Moreno ◽  
J.F. Ortega ◽  
J.A. de Juan
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Biomass Accumulation ◽  
Irrigation Season ◽  
Indirect Methods ◽  
Agronomic Management ◽  
Non Destructive ◽  
Direct And Indirect Methods ◽  
Sampling Event ◽  
Experimental Plots

AbstractLeaf area is one of the most important parameters for characterizing crop growth and development, and its measurement is useful for examining the effects of agronomic management on crop production. It is related to interception of radiation, photosynthesis, biomass accumulation, transpiration and gas exchange in crop canopies. Several direct and indirect methods have been developed for determining leaf area. The aim of this study is to develop an indirect method, based on the use of a mathematical model, to compute leaf area in an onion crop using non-destructive measurements with the condition that the model must be practical and useful as a Decision Support System tool to improve crop management. A field experiment was conducted in a 4.75 ha commercial onion plot irrigated with a centre pivot system in Aguas Nuevas (Albacete, Spain), during the 2010 irrigation season. To determine onion crop leaf area in the laboratory, the crop was sampled on four occasions between 15 June and 15 September. At each sampling event, eight experimental plots of 1 m

scholarly journals A non-destructive method for estimating onion leaf area

2015 ◽  
Vol 54 (1) ◽  
pp. 17-30 ◽  
Author(s):  
J.I. Córcoles ◽  
A. Domínguez ◽  
M.A. Moreno ◽  
J.F. Ortega ◽  
J.A. de Juan
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Infrared Imaging ◽  
Imaging System ◽  
Biomass Accumulation ◽  
Leaf Length ◽  
Irrigation Season ◽  
Indirect Methods ◽  
Total Leaf ◽  
Non Destructive

AbstractLeaf area is one of the most important parameters for characterizing crop growth and development, and its measurement is useful for examining the effects of agronomic management on crop production. It is related to interception of radiation, photosynthesis, biomass accumulation, transpiration and gas exchange in crop canopies. Several direct and indirect methods have been developed for determining leaf area. The aim of this study is to develop an indirect method, based on the use of a mathematical model, to compute leaf area in an onion crop using non-destructive measurements with the condition that the model must be practical and useful as a Decision Support System tool to improve crop management. A field experiment was conducted in a 4.75 ha commercial onion plot irrigated with a centre pivot system in Aguas Nuevas (Albacete, Spain), during the 2010 irrigation season. To determine onion crop leaf area in the laboratory, the crop was sampled on four occasions between 15 June and 15 September. At each sampling event, eight experimental plots of 1 m2were used and the leaf area for individual leaves was computed using two indirect methods, one based on the use of an automated infrared imaging system, LI-COR-3100C, and the other using a digital scanner EPSON GT-8000, obtaining several images that were processed using Image J v 1.43 software. A total of 1146 leaves were used. Before measuring the leaf area, 25 parameters related to leaf length and width were determined for each leaf. The combined application of principal components analysis and cluster analysis for grouping leaf parameters was used to reduce the number of variables from 25 to 12. The parameter derived from the product of the total leaf length (L) and the leaf diameter at a distance of 25% of the total leaf length (A25) gave the best results for estimating leaf area using a simple linear regression model. The model obtained was useful for computing leaf area using a non-destructive method.

A comparison of direct and indirect methods for estimating forest canopy leaf area

1991 ◽  
Vol 57 (1-3) ◽  
pp. 107-128 ◽  
Author(s):  
Jennifer W. Chason ◽  
Dennis D. Baldocchi ◽  
Michael A. Huston
Keyword(s):  
Leaf Area ◽  
Forest Canopy ◽  
Indirect Methods ◽  
Direct And Indirect Methods

scholarly journals Models for estimating yacon leaf area

2016 ◽  
Vol 34 (3) ◽  
pp. 422-427 ◽  
Author(s):  
Wellington A Erlacher ◽  
Fábio L Oliveira ◽  
Gustavo S Fialho ◽  
Diego MN Silva ◽  
Arnaldo HO Carvalho
Keyword(s):  
Leaf Area ◽  
Crop Production ◽  
Scientific Information ◽  
Leaf Size ◽  
Leaf Length ◽  
Logarithmic Model ◽  
Area Estimate ◽  
Independent Variable ◽  
Precision And Accuracy ◽  
Non Destructive

ABSTRACT The recent exploration of yacon demands scientific information for improving the crop production technology. This study aimed to set a leaf area estimate model for yacon plants, using non-destructive measurements of leaf length (L) and/or width (W). Sixty-four representative yacon plants were randomly selected in an experimental field during the full vegetative growth. One thousand leaves of various sizes were taken from those plants for setting and validating a model. The logarithmic model best fitted this purpose, the result of multiplying length by width being used as independent variable. Yacon leaf area can be determined with high precision and accuracy by LALW = (-27.7418 + (3.9812LW / ln LW ) , disregarding the leaf size.

scholarly journals Leaf area estimation of medium size plants using optical metrology

2013 ◽  
Vol 17 (6) ◽  
pp. 595-601 ◽  
Author(s):  
Kleber M. Ribeiro ◽  
Roberto A. Braga ◽  
Myriane S. Scalco ◽  
Graham W. Horgan
Keyword(s):  
Leaf Area ◽  
Direct Methods ◽  
Optical Metrology ◽  
Medium Size ◽  
Coffee Plant ◽  
Indirect Methods ◽  
Area Index ◽  
The Subject ◽  
Non Destructive ◽  
Commercial Equipment

The total leaf area (TLA) estimation is an important feature of the crops and their assessment a challenge, since the direct methods of obtaining it are destructive and time consuming. Non-destructive methods have been explored to obtain the TLA by indirect approaches, in turn creating other features, as the leaf area index. The development of non-destructive technology to access the TLA of a plant has been the subject of much research, and the optical metrology is an promising approach. In this work, some indirect methods associated with optical approaches were evaluated as an alternative to obtain the TLA of the coffee plant. Commercial equipment were used, such as a camera with a fish eye lens and lux meters, associated to the sizes of the canopies were tested and compared to another non-destructive method and with methods proposed in the literature. The association between production and the TLA estimated was also evaluated. The results showed that the commercial equipment, generally used in forestry, was not the best approach in coffee plants, and that the methods related to the size and lux values of the plants were the best alternatives to estimate the TLA of the coffee plant.

Comparison of direct and indirect methods for assessing leaf area index across a tropical rain forest landscape

2013 ◽  
Vol 177 ◽  
pp. 110-116 ◽  
Author(s):  
Paulo C. Olivas ◽  
Steven F. Oberbauer ◽  
David B. Clark ◽  
Deborah A. Clark ◽  
Michael G. Ryan ◽  
...  
Keyword(s):  
Leaf Area Index ◽  
Leaf Area ◽  
Rain Forest ◽  
Tropical Rain Forest ◽  
Forest Landscape ◽  
Indirect Methods ◽  
Area Index ◽  
Direct And Indirect Methods
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