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Articles by Ioannis S. Tokatlidis
Total Records ( 2 ) for Ioannis S. Tokatlidis
  Ioannis S. Tokatlidis and Ioannis T. Tsialtas
  Crop yield potential assessment under a single density, assumed as optimum for maximum yield per unit area, might lead to biased judgment due to genotype by density interactions. Two models emphasizing yield per plant in the absence of competition (i.e., yield potential per plant), were applied in maize (Zea mays L.) and wheat (Triticum aestivum L.) genotypes to assess crop yield potential. The first model distinguishes crop yield potential into two components, yield potential per plant and tolerance to density, predicted through linear regression of yield per plant over a range of densities. The second model proposes three components, which are yield potential per plant, tolerance to stresses and responsiveness to inputs, determined in the absence of competition. Genotypes suggested by the models as the most promising were different than those depicted on the basis of the experimental data. Both models favoured genotypes characterized by improved yield potential per plant and being less density-dependent. Nevertheless, the two components of the first model were negatively associated. The first model determines the key parameter (i.e., yield potential per plant) indirectly, accuracy of which depends on the lowest density used. The second model assesses yield potential per plant in a direct way and seems to consider crop yield potential in a more integrated manner, whereas appears to represent an integral part of whole breeding approach.
  Konstantinos Tertivanidis , Olga Koutita , Ioannis I. Papadopoulos , Ioannis S. Tokatlidis , Efstathios G. Tamoutsidis , Vasiliki Pappa-Michailidou and Metaxia Koutsika-Sotiriou
  Genetic diversity in 19 local dry bean populations (Phaseolus vulgaris L.) originated from the region of Macedonia (Greece, GR and Formal Yugoslavic Republic of Macedonia, FYROM) was investigated using RAPD (Random Amplified Polymorphic DNA) markers in 10 individual plants from each population. A total of 11 random primers detected 56 polymorphic bands, with an average of 5.1 polymorphic bands/primer. The individual plants were grouped in 14 clusters on the basis of the Jaccard coefficient (Unweighted Pair Group Method and Arithmetic Average-UPGMA). The average taxonomic distances between the 19 populations were calculated on the basis of gene frequencies. These distances were used for grouping the populations, by UPGMA and Principal Coordinates Analysis (PCO), resulting in four and 10 groups, respectively. In general, there was a noticeable similarity in the grouping of the individuals and populations with the two methods. According the UPGMA and PCO procedures, the populations were clustered based on geographical origin. It was concluded that RAPD markers could be exploited as alternative or supplementary tools to already established methods for the evaluation and classification of bean genetic resources.
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