Assessment of Morphological Diversity and Population Structure in Barley Landraces and Advanced Breeding Lines

Author: Seyed Hossein Jamali*,***, Seyed Abolghasem Mohammadi*,** and Behzad Sadeghzadeh****

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Abstract

Phenotypic diversity in a panel of 143 barley genotypes including Iranian and exotic landraces as well as cultivars and advanced breeding lines was evaluated by using 29 categorical (ordinal, nominal, and binary) descriptors and 9 quantitative traits used in variety registration. Four categorical characteristics were monomorphic among the genotypes, while the remaining traits harbored a great diversity in terms of morphological traits. Diversity index of 25 polymorphic traits ranged from 0.06 (hairiness of lower leaves sheaths) to 0.69 (spiculation of inner lateral nerves of dorsal side of lemma) with an average of 0.37. Cluster analysis using neighbor joining (NJ) algorithm based on Jaccard's similarity matrix of 25 polymorphic categorical traits grouped all the genotypes according to their number of ear rows (NER) (six- and two-rowed) except four pairs of individuals. The putative relevance of phenotypes with NER, seasonal growth habit (SGH), and origin of samples was investigated th

Keywords

Hordeum vulgare L., categorical descriptors, quantitative traits, barley landraces and cultivars, graphical mosaic pattern

Conclusion

Phenotypic diversity in a panel of 143 barley genotypes including Iranian and exotic landraces as well as cultivars and advanced breeding lines was evaluated by using 29 categorical (ordinal, nominal, and binary) descriptors and 9 quantitative traits used in variety registration. Four categorical characteristics were monomorphic among the genotypes, while the remaining traits harbored a great diversity in terms of morphological traits. Diversity index of 25 polymorphic traits ranged from 0.06 (hairiness of lower leaves sheaths) to 0.69 (spiculation of inner lateral nerves of dorsal side of lemma) with an average of 0.37. Cluster analysis using neighbor joining (NJ) algorithm based on Jaccard's similarity matrix of 25 polymorphic categorical traits grouped all the genotypes according to their number of ear rows (NER) (six- and two-rowed) except four pairs of individuals. The putative relevance of phenotypes with NER, seasonal growth habit (SGH), and origin of samples was investigated th

References

∑_(i=1)^n▒P_i^2 formula, wherein pi represents frequency of ith phenotype of trait. In addition, association of morphological traits with NER and SGH groups was tested using Fisher's exact chi-square test for binary traits as well as nominal, and Mann-Whitney U test for ordinal traits. A. Morphological description of barley panel The two-year range and mean values of nine quantitative traits i.e. ear length (EL), ear density (ED), time of ear emergence (TEE), plant height (PH), thousand-seed weight (SW), total seedling length (TSL), coleoptile length (CL), radical length (RL), first leaf length (FLL) were represented for diverse panel of barley samples (Table 2). Among 29 categorical traits, all barley accessions had similar phenotypes for four characteristics. In that respect, all 80 two-rowed genotypes had sterile spikelets with full development (EDSS). In addition, the grains of all 143 genotypes were husked (GH), hairless in ventral furrow (GHVF), and bearing clasping lodic

How to cite this article

Seyed Hossein Jamali, Seyed Abolghasem Mohammadi,and Behzad Sadeghzadeh (2017). Assessment of Morphological Diversity and Population Structure in Barley Landraces and Advanced Breeding Lines , Biological Forum – An International Journal 9(2): 28-36.