Photosynthetica

, Volume 48, Issue 1, pp 9–15 | Cite as

Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement

  • Y. Rouphael
  • A. H. Mouneimne
  • A. Ismail
  • E. Mendoza-De Gyves
  • C. M. Rivera
  • G. Colla
Original Papers

Abstract

Accurate and nondestructive methods to determine individual leaf areas of plants are a useful tool in physiological and agronomic research. Determining the individual leaf area (LA) of rose (Rosa hybrida L.) involves measurements of leaf parameters such as length (L) and width (W), or some combinations of these parameters. Two-year investigation was carried out during 2007 (on thirteen cultivars) and 2008 (on one cultivar) under greenhouse conditions, respectively, to test whether a model could be developed to estimate LA of rose across cultivars. Regression analysis of LA vs. L and W revealed several models that could be used for estimating the area of individual rose leaves. A linear model having L×W as the independent variable provided the most accurate estimate (highest r 2 , smallest MSE, and the smallest PRESS) of LA in rose. Validation of the model having L×W of leaves measured in the 2008 experiment coming from other cultivars of rose showed that the correlation between calculated and measured rose LA was very high. Therefore, this model can estimate accurately and in large quantities the LA of rose plants in many experimental comparisons without the use of any expensive instruments.

Additional key words

individual leaf area linear measurements nondestructive methods Rosa hybrida L. validation 

Abbreviations

GLM

general linear model

L

leaf midvein length

LA

individual leaf area

L × W

product leaf length and width

L:W

leaf shape

MSE

mean square error

MSPR

mean squared prediction error

OLA

observed leaf area

PLA

predicted leaf area

PRESS

prediction sum of squares

SSE

error sum of squares

T

tolerance values

VIF

variance inflation factor

W

maximum leaf width

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Copyright information

© Springer Science+Business Media B.V. 2010

Authors and Affiliations

  • Y. Rouphael
    • 1
  • A. H. Mouneimne
    • 2
  • A. Ismail
    • 3
  • E. Mendoza-De Gyves
    • 4
  • C. M. Rivera
    • 4
  • G. Colla
    • 4
  1. 1.Department of Crop Production, Faculty of Agricultural Engineering and Veterinary MedicineLebanese UniversityDekwaneh-Al MatenLebanon
  2. 2.Department of Environment and Natural Resources, Faculty of Agricultural Engineering and Veterinary MedicineLebanese UniversityDekwaneh-Al MatenLebanon
  3. 3.Department of Food Technology, Faculty of Agricultural Engineering and Veterinary MedicineLebanese UniversityDekwaneh-Al MatenLebanon
  4. 4.Dipartimento di Geologia e Ingegneria Meccanica, Naturalistica e Idraulica per il TerritorioUniversità della TusciaViterboItaly

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