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2014 | 28 | 4 |

Tytuł artykułu

Using the conservative nature of fresh leaf surface density to measure foliar area

Treść / Zawartość

Warianty tytułu

Języki publikacji

EN

Abstrakty

EN
For a herbaceous species, the inverse of the fresh leaf surface density, the Hughes constant, is nearly conserved. We apply the Hughes constant to develop an absolute method of leafarea measurement that requires no regression fits, prior calibrations or oven-drying. The Hughes constant was determined in situ using a known geometry and weights of a sub-set obtained from the fresh leaves whose areas are desired. Subsequently, the leaf-areas (at any desired stratification level), were derived by utilizing the Hughes constant and the masses of the fresh leaves. The proof of concept was established for leaf-discs of the plants Mandevilla splendens and Spathiphyllum wallisii. The conservativeness of the Hughes constant over individual leaf-zones and different leaftypes from the leaves of each species was quantitatively validated. Using the globally averaged Hughes constant for each species, the leaf-area of these and additional co-species plants, were obtained. The leaf-area-measurement-by-mass was cross-checked with standard digital image analysis. There were no statistically significant differences between the leaf-area-measurement-by-mass and the digital image analysis measured leaf-areas and the linear correlation between the two methods was very good. Leaf-areameasurement- by-mass was found to be rapid and simple with accuracies comparable to the digital image analysis method. The greatly reduced cost of leaf-area-measurement-by-mass could be beneficial for small agri-businesses in developing countries.

Wydawca

-

Rocznik

Tom

28

Numer

4

Opis fizyczny

p.413-421,fig.,ref.

Twórcy

  • Institute of Chemical Biology (IIQB), University of Michoacan (UMSNH), Cd. Universitaria Morelia, Michoacan 58060, Mexico
  • Institute of Chemical Biology (IIQB), University of Michoacan (UMSNH), Cd. Universitaria Morelia, Michoacan 58060, Mexico
  • Institute of Chemical Biology (IIQB), University of Michoacan (UMSNH), Cd. Universitaria Morelia, Michoacan 58060, Mexico
  • Institute of Chemical Biology (IIQB), University of Michoacan (UMSNH), Cd. Universitaria Morelia, Michoacan 58060, Mexico
  • Institute of Chemical Biology (IIQB), University of Michoacan (UMSNH), Cd. Universitaria Morelia, Michoacan 58060, Mexico
  • Department of Environmental Biotechnology, Helmholtz Centre for Environmental Research (UFZ), Permoserstrasse 15, 04318 Leipzig, Germany

Bibliografia

  • Behera S.K., Srivastava P., Pathre U.V., and Tuli R., 2010. An indirect method of estimating leaf area index in Jatropha curcas L. using LAI-2000 Plant Canopy Analyzer. Agric. Forest Meteor., 150, 307-311
  • Coombs J., Hall D.O., Long S.P., and Scurlock J.M.O., 1985. Techniques in bioproductivity and photosynthesis, Pergamon Press, Oxford, UK.
  • Hughes A.P., Cockshull K.E., and Heath O.V.S., 1970. Leaf area and absolute leaf water content. Annals Botany, 34, 259-265.
  • Igathinathane C., Prakash V.S.S., Padma U., Ravi Babu G., and Womac A.R., 2006. Interactive computer software development for leaf area measurement. Computers Electronics Agric., 51, 1-16.
  • Jonckheere I., Fleck S., Nackaerts K., Muys B., Coppin P.,Weiss M., and Baret F., 2004. Review of methods for in situ leaf area index determination: Part I. Theories, sensors and hemispherical photography. Agric. Forest Meteor., 121, 19-35.
  • Kirk K., Andersen H.J., Thomsen A.G., Jorgensen J.R., and Jorgensen R.N., 2009. Estimation of leaf area index in cereal crops using red-green images. Biosys. Eng., 104, 308-317. Korva J.T. and Forbes G.A., 1997. A simple and low-cost method for leaf area measurement of detached leaves. Exp. Agric., 33, 65-72.
  • Ma L., Gardner F.P., and Selamat A., 1992. Estimation of leaf area from leaf and total mass measurements in peanut. Crop Sci., 32, 467-471.
  • Mandel J., 1984. The statistical analysis of experimental data. Dover Publications Inc., New York, USA.
  • Meziane D. and Shipley B., 1999. Interacting determinants of specific leaf area in 22 herbaceous species: effects of irradiance and nutrient availability. Plant Cell Environ., 22, 447-459.
  • Mohsenin N.N., 1986. Physical properties of plant and animal materials. Gordon Breach Sci. Press, New York, USA.
  • Nobis M. and Hunziker U., 2005. Automatic thresholding for hemispherical canopy-photographs based on edge detection. Agric. Forest Meteor., 128, 243-250.
  • O'Neal M., Landis D.A., and Isaacs R., 2002. An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. J. Economic Entomology, 95, 1190-1194.
  • Rico-García E., Hernández-Hernández F., Soto-Zarazúa G., and Herrera-Ruiz G., 2009. Two new methods for the estimation of leaf area using digital photography. Int. J. Agric. Biolog., 11, 397-400.
  • Roderick M.L. and Cochrane M.J., 2002. On the conservative nature of the leaf mass-area relationship. Annals Botany, 89, 537-542.
  • Sharatt B.S. and Baker D.G., 1986. Alfalfa leaf area as a function of dry matter. Crop Sci., 26, 1040-1043.
  • Singh M., Saxena N.P., and Saxena M.C., 1995. Estimation of leaf pinnule area in chickpea leaves: an errors-in-variablesapproach. J. Appl. Statistics, 22, 37-43.
  • Tsuda M., 1999. Errors in leaf Area measurement with an automatic Area meter due to leaf chlorophyll in crop plants. Annals Botany, 84, 799-801.
  • Vile D., Garnier E., Shipley B., Laurent G., Navas M.-L., Roumet C., Lavorel S., Díaz S., Hodgson J.G., Lloret F., Midgley G.F., Porter H., Rutherford M.C., Wilson P.J., and Wright I.J., 2005. Specific leaf area and dry matter content estimate thickness in laminar leaves. Annals Botany, 96, 1129-1136.
  • Zehm A., Nobis M., and Schwabe A., 2003. Multiparameter analysis of vertical vegetation structure based on digital image processing. Flora, 198, 42-160.

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Bibliografia

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