Phenotypic variation in chestnut (Castanea sativa Mill.) natural populationsin Hyrcanian forest (north of Iran), revealed by leaf morphometrics

Authors

  • Mehrdad Zarafshar Department of Forestry, Natural Resource Faculty, Tarbiat Modaress University, Noor, Mazandaran, Iran Author
  • Moslem Akbarinia Department of Forestry, Natural Resource Faculty, Tarbiat Modaress University, Noor, Mazandaran, Iran Author
  • Piero Bruschi Department of Forestry, Natural Resource Faculty, Tarbiat Modaress University, Noor, Mazandaran, Iran Author
  • Sieid Mohsen Hosseiny Department of Forestry, Natural Resource Faculty, Tarbiat Modaress University, Noor, Mazandaran, Iran Author
  • Hamed Yousefzadeh Laboratory of Applied and Forest Botany, Department of Plant Biology, University of Florence, Italy Author
  • Mehdi Taieby Department of Forestry, Gorgan University, Gorgan, Golestan, Iran Author
  • Ali Sattarian Department of Forestry, Gonbad Kavoos University, Gonbad Kavoos, Iran Author

Keywords:

Chestnut, Iran, morphological traits, plasticity, variation

Abstract

Sweet chestnut (Castanea sativa Mill.) is marginally distributed - as a rare species, in Hyrcanian forest, located in the north of Iran. In Iran, this species is economically important for timber and nut production, therefore its conservation is very necessary. However, no information exists on its variability in the Iranian chestnut populations. The aim of this study is to survey the variability in leaf morphology of three chestnut natural populations. Twenty trees per a population and forty leaves per a tree were sampled, data of nine characteristics (lamina length, lamina width, petiole length, distance from leaf base to the leaf maximum width, tooth width, tooth length, tooth distance, vein (count variable), teeth (counted variable) and four characteristic ratios (leaf length/leaf width, leaf length/petiole length, leaf length/distance from leaf base to the widest point, distance from leaf base to the leaf widest point/petiole length), were recorded. Principal components analysis (PCA) was used to separate inter-relationships into statistically independent basic components. Most of the variation (85%) was explained by the first four components, and leaf size emerged as the most important variable in the corresponding eigenvectors. We used one-way ANOVA on the scores of the factors extracted in the PCA. These analyses revealed significant between-population differences with regard to most of factors. The results of discriminant analysis showed a high percentage of correctly classified cases in all actual populations (in total 93%). The patterns of leaf plasticity exhibited low values for all parameters. We concluded that leaf parameters are suitable variables for detecting levels of phenotypic variability among chestnut natural populations. The high diversity observed in the populations is very important for the conservation of the species genetic resources.

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2010-01-01

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