Morphological Leaf characteristics of Persian walnut (Juglans regia L.) in Iranian population

Document Type : Research article

Authors

1 Postgraduate student, Forestry Dept., Faculty of Natural REsources, University of Tehran, Karaj, I. R. Iran

2 Academic member, Forestry Dept., Faculty of Natural REsources, University of Tehran, Karaj, I. R. Iran

3 Member of Scientific Board, Research Institute of seedling and seed improvement and production, Head of Iranian National plant Gene Bank, Karaj, I. R. Iran.

4 Academic member, Forestry Dept., Faculty of Natural REsources, University of Tehran, Karaj, I. R. Iran.

Abstract

Genetic resources are the most valuable national treasure of a country and it is vital to identify, conserve and use them. The Persian walnut (Juglans regia L.) is one of the most valuable genetic resource in Iran due to its multi benefits (nutrition, wood, environment conservation, genetics and medicine). For this reason, 32 leaf morphological characteristics of J. regia were studied on nine populations (four native and five cultivated) and 243 individual trees. Leaf sampling was made two years for the native populations and one year for the cultivated populations. The effects of year variation on leaf characteristics and the effects of leaflet numbers on wealth variation of the characteristics within each genotype were studied. The ANOVA analysis showed that there were significant differences between the walnut genotypes in respect to their leaf characteristics (P<0.001). After correction of variance coefficient (C.V.) of each genotype, based on deduction of corrected C.V. within genotype (C.V.G.) according to leaflet numbers (5, 7, 9 and 11 leaflets) from primary C.V., a high real value of C.V. was achieved. The Duncan method was used to compare the means and identify the less variable leaf characteristics, based on C.V.G. and correction of leaflet numbers. Correlation coefficient of leaf characteristics according to each leaflet number groups (5, 7 and 9 leaflets) was investigated. Using cluster analysis (UPGMA method) to classify the 32 leaf morphological characteristics for the 243 trees, resulted in 19 clusters which seven clusters contained one individual members and four clusters contained double or triple members. The results showed that the most important, distinctive and reliable leaf morphological characteristics of J. regia were as follows: length of biggest leaflet, petiol length, leaflet marginal form, Arctangent of average leaflet length to average leaflet width, Arctangent of half leaf width to petiol length.
 

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References

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