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Articles by M. Farshadfar
Total Records ( 2 ) for M. Farshadfar
  M. Farshadfar and E. Farshadfar
  Identifying suitable parental materials is an important phase in the development of hybrid seeds. Thus, a study was conducted to determine the genetic variability among 360 chickpea land races and lines. Appropriate parents selected from a pool of genes of 360 chickpeas which was carried out during the year 2000-2001 in DARI, Sararoud of Iran. The experiment included 12 blocks, each contains 20 plots of 2 m rows. The traits studied were growth type, number of leaflet per leaf, leaflet size, plant height, days taken for 50% flowering, flower color, flowering period, days to maturity, pod size, pod per plant, seed numbers per pod, seed color, seed shape and 100 seed weight. Data based on morphological and phonological traits were analyzed using SPSS software and the statistical procedures: correlation coefficient, cluster analysis, principal component analysis and path analysis. Among the morphological characters, numbers of branches, pod numbers with CV: 41.77 and 37.25% had higher variation, respectively while leaflet with CV: 10.49% had minimum variation. Among the phonological traits the flowering period with CV: 22.02% had highest and flowering time had the least variability. The seed yield per plant ranged from 4.27 to 0.41 g and CV: 51.43% reflected highest variation. The highest correlation coefficient (r = 0.78) was between seed yield per plant and pod numbers. Chickpeas genotypes could be classified into four clusters and 63% of the variance were explained by five PCAs. Path analysis revealed that the pod numbers with 0.745, seed numbers with 0.386, 100 seed weight with 0.268 and single seed with 0.267 had highest direct effect on seed yield.
  M. Farshadfar and E. Farshadfar
  The present research was conducted to determine the genetic variability of 18 Lucerne cultivars, based on morphological and biochemical markers. The traits studied were plant height, tiller number, biomass, dry yield, dry yield/biomass, dry leaf/dry yield, macro and micro elements, crude protein, dry matter, crude fiber and ash percentage and SDS- PAGE in seed and leaf samples. Field experiments included 18 plots of two meter rows. Data based on morphological, chemical and SDS-PAGE markers were analyzed using SPSSWIN soft ware and the multivariate statistical procedures: cluster analysis (UPGMA), principal component. Analysis of analysis of variance and mean comparison for morphological traits reflected significant differences among genotypes. Genotype 13 and 15 had the greatest values for most traits. The Genotypic Coefficient of Variation (GCV), Phenotypic Coefficient of Variation (PCV) and Heritability (Hb) parameters for different characters raged from 12.49 to 26.58% for PCV, hence the GCV ranged from 6.84 to 18.84%. The greatest value of Hb was 0.94 for stem number. Lucerne genotypes could be classified, based on morphological traits, into four clusters and 94% of the variance among the genotypes was explained by two PCAs: Based on chemical traits they were classified into five groups and 73.492% of variance was explained by four principal components: Dry matter, protein, fiber, P, K, Na, Mg and Zn had higher variance. Genotypes based on the SDS-PAGE patterns all genotypes were classified into three clusters. The greatest genetic distance was between cultivar 10 and others, therefore they would be suitable parent in a breeding program.
 
 
 
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