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Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves

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Photosynthetica

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Abstract

For two growing seasons (2005 and 2006), leaves of grapevine cv. Cabernet-Sauvignon were collected at three growth stages (bunch closure, veraison, and ripeness) from 10-year-old vines grafted on 1103 Paulsen and SO4 rootstocks and subjected to three watering regimes in a commercial vineyard in central Greece. Leaf shape parameters (leaf area-LA, perimeter-Per, maximum midvein length-L, maximum width-W, and average radial-AR) were determined using an image analysis system. Leaf morphology was affected by sampling time but not by year, rootstock, or irrigation treatment. The rootstock×irrigation×sampling time interaction was significant for all the leaf shape parameters (LA, Per, L, W, and AR) and the means of the interaction were used to establish relationships between them. A highly significant linear function between L and LA could be used as a non-destructive LA prediction model for Cabernet-Sauvignon. Eleven models proposed for the non-destructive LA estimation in various grapevine cultivars were evaluated for their accuracy in predicting LA in this cultivar. For all the models, highly significant linear functions were found between calculated and measured LA. Based on r 2 and the mean square deviation (MSD), the model proposed for LA estimation in cv. Cencibel [LA = 0.587(L×W)] was the most appropriate.

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Abbreviations

ANOVA:

analysis of variance

AR:

average radial

CV:

coefficient of variation

DI:

deficit irrigation

ET c :

evapotranspiration

FI:

full irrigation

L:

midvein length

LA:

leaf area

LSD:

least significant difference

MSD:

mean square deviation

NI:

not irrigated

Per:

perimeter

RCB:

Randomized Complete Block

W:

maximum leaf width

References

  • Asomaning, E.J.A., Lockard, R.G.: Note on estimation of leaf areas of cocoa from leaf length data.-Can. J. Plant Sci. 43: 243–245, 1963.

    Article  Google Scholar 

  • Bhatt, M., Chanda, S.V.: Prediction of leaf area in Phaseolus vulgaris by non-destructive method.-Bulg. J. Plant Physiol. 29: 96–100, 2003.

    Google Scholar 

  • Byrne, M., Timmermans, M., Kidner, C., Martienssen, R.: Development of leaf shape.-Curr. Opin. Plant Biol. 4: 38–43, 2001.

    Article  PubMed  CAS  Google Scholar 

  • Carbonneau, A.: Principes et méthodes de mesure de la surface foliaire. Essai de caractérisation des types de feuilles dans le genre Vitis.-Ann. Amél. Plantes 26: 327–343, 1976.

    Google Scholar 

  • Cristofori, V., Rouphael, Y., Mendoza-de Gyves, E., Bignami, C.: A simple model for estimating leaf area of hazelnut from linear measurements.-Sci. Hort. 113: 221–225, 2007.

    Article  Google Scholar 

  • Demirsoy, H., Demirsoy, L.: A validated leaf area prediction model for some cherry cultivars in Turkey.-Pakist. J. Bot. 35: 361–367, 2003.

    Google Scholar 

  • Demirsoy, H., Demirsoy, L., Uzun, S., Ersoy, B.: Non-destructive leaf area estimation in peach.-Eur. J. hort. Sci. 69: 144–146, 2004.

    Google Scholar 

  • Elsner, E.A., Jubb, G.L., Jr.: Leaf area estimation of Concord grape leaves from simple linear measurements.-Amer. J. Enol. Viticult. 39: 95–97, 1988.

    Google Scholar 

  • Gauch, H.G., Jr., Hwang, J.T.G., Fick, G.W.: Model evaluation by comparison of model-based predictions and measured values.-Agron. J. 95: 1442–1446, 2003.

    Google Scholar 

  • Goudriaan, J., van Laar, H.H.: Modelling Potential Crop Growth Processes.-Kluwer Academic Publ., Dordrecht 1994.

    Google Scholar 

  • Iwata, H., Nesumi, H., Ninomiya, S., Takano, Y., Ukai, Y.: Diallel analysis of leaf shape variations of citrus varieties based on Elliptic Fourier descriptors.-Breed. Sci. 52: 89–94, 2002.

    Article  Google Scholar 

  • Iwata, H., Ukai, Y.: SHAPE: a computer program package for quantitative evaluation of biological shapes based on Elliptic Fourier descriptors.-J. Hered. 93: 384–385, 2002.

    Article  PubMed  CAS  Google Scholar 

  • Kessler, S., Sinha, N.: Shaping up: the genetic control of leaf shape.-Curr. Opin. Plant Biol. 7: 65–72, 2004.

    Article  PubMed  CAS  Google Scholar 

  • Kobayashi, K., Salam, M.U.: Comparing simulated and measured values using mean squared deviation and its components.-Agron. J. 92: 345–352, 2000.

    Article  Google Scholar 

  • Koundouras, S., Bakratsa, G., Zioziou, E., Nikolaou, N., Tsialtas, I.: Influence of irrigation and rootstock cultivar on gas exchange, growth and ripening of Cabernet-Sauvignon (Vitis vinifera L.) under the semi-arid conditions of central Greece.-In: Proceedings of the 2nd International Symposium Ampelos 2006. Pp. 29–34. Santorini 2006.

  • Lu, H.-Y., Lu, C.-T., Wei, M.-L., Chan, L.-F.: Comparison of different models for nondestructive leaf area estimation in taro.-Agron. J. 96: 448–453, 2004.

    Google Scholar 

  • Manivel, L., Weaver, R.J.: Biometric correlations between leaf area and length measurements of ‘Grenache’ grape leaves.-HortScience 9: 27–28, 1974.

    Google Scholar 

  • Mendoza-de Gyves, E., Rouphael, Y., Cristofori, V., Mira, F.R.: A non-destructive, simple and accurate model for estimation the individual leaf area of kiwi (Actinidia deliciosa).-Fruits 62: 1–7, 2007.

    Article  Google Scholar 

  • Montero, F.J., de Juan, J.A., Cuesta, A., Brasa, A.: Nondestructive methods to estimate leaf area in Vitis vinifera L.-HortScience 35: 696–698, 2000.

    Google Scholar 

  • Nakamura, S., Nitta, Y., Watanabe, M., Goto, Y.: Analysis of leaflet shape and area for improvement of leaf area estimation method for sago palm (Metroxylon sagu Rottb.).-Plant Prod. Sci. 8: 27–31, 2005.

    Article  Google Scholar 

  • NeSmith, D.S.: Nondestructive leaf area estimation of rabbiteye blueberries.-HortScience 26: 1332, 1991.

    Google Scholar 

  • Njoku, E.: The effect of mineral nutrition and temperature on leaf shape in Ipomoea caerulea.-New Phytol. 56: 154–171, 1957.

    Article  Google Scholar 

  • Potdar, M.V., Pawar, K.R.: Non-destructive leaf area estimation in banana.-Scientia Hort. 45: 251–254, 1991.

    Article  Google Scholar 

  • Pritsa, T.S., Voyiatzis, D.G., Voyiatzis, C.J., Sotiriou, M.S.: Evaluation of vegetative growth traits and their relation to time to first flowering of olive seedlings.-Aust. J. agr. Res. 54: 371–376, 2003.

    Article  Google Scholar 

  • Schultz, H.R.: An empirical model for the simulation of leaf appearance and leaf area development of primary shoots of several grapevine (Vitis vinifera L.) canopy-systems.-Scientia Hort. 52: 179–200, 1992.

    Article  Google Scholar 

  • Sepúlveda, G.R., Kliewer, W.M.: Estimation of leaf area of two grapevine cultivars (Vitis vinifera L.) using laminae linear measurements and fresh weight.-Amer. J. Enol. Vitic. 34: 221–226, 1983.

    Google Scholar 

  • Serdar, Ü., Demirsoy, H.: Non-destructive leaf area estimation in chestnut.-Scientia Hort. 108: 227–230, 2006.

    Article  Google Scholar 

  • Smith, R.J., Kliewer, W.M.: Estimation of Thompson Seedless grapevine leaf area.-Amer. J. Enol. Vitic. 35: 16–22, 1984.

    Google Scholar 

  • Tsialtas, J.T., Maslaris, N.: Leaf area estimation in a sugar beet cultivar by linear models.-Photosynthetica 43: 477–479, 2005.

    Article  Google Scholar 

  • Tsialtas, J.T., Maslaris, N.: Leaf shape and its relationship with Leaf Area Index in a sugar beet (Beta vulgaris L.) cultivar.-Photosynthetica 45: 527–532, 2007.

    Article  Google Scholar 

  • Tsialtas, J.T., Maslaris, N.: Leaf area prediction model for sugar beet (Beta vulgaris L.) cultivars.-Photosynthetica 46: 291–293, 2008.

    Article  Google Scholar 

  • Whitworth, J.L., Mauromoustakos, A., Smith, M.W.: A non-destructive method for estimation of leaf area in pecan.-HortScience 27: 851, 1992.

    Google Scholar 

  • Williams, L., III, Martinson, T.E.: Nondestructive leaf area estimation of ‘Niagara’ and ‘DeChaunac’ grapevines.-Sci. Hort. 98: 493–498, 2003.

    Article  Google Scholar 

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Author notes

  1. J. T. Tsialtas

    Present address: NAGREF, Cotton & Industrial Plants Institute, 574 00, Sindos, Hellas, Greece

Authors and Affiliations

  1. Department of Experimentation, Larissa Factory, 411 10, Larissa, Hellas, Greece

    J. T. Tsialtas

  2. School of Agriculture, Laboratory of Viticulture, Aristotle University of Thessaloniki, 541 24, Thessaloniki, Hellas, Greece

    S. Koundouras & E. Zioziou

  3. Hellenic Sugar Industry SA, Thessaloniki, Greece

    J. T. Tsialtas

Authors
  1. J. T. Tsialtas
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  2. S. Koundouras
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  3. E. Zioziou
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Correspondence to J. T. Tsialtas.

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Tsialtas, J.T., Koundouras, S. & Zioziou, E. Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves. Photosynthetica 46, 452–456 (2008). https://doi.org/10.1007/s11099-008-0077-x

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  • DOI: https://doi.org/10.1007/s11099-008-0077-x

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