Genetic effectiveness of clustering analysis in selecting promising f₃ Rogenies for baking quality in Wheat [electronic resource].

Includes reference.

Clustering analysis was employed to determine some Promising F₃. Progenies derived from crossing between two Introduced and two Egyptian wheat varieties, differing in their Baking quality parameters. The clustering patterns of F₃ progenies in each one of the two obtained crosses showed four kinds of grouping At Euclidean distance lower than 7. The clustering patterns revealed that cluster II of the cross " Kauz-Star X Gemmeiza 7 " and cluster I of the cross " Opata-Rayon X Sids 7 " had the highest values for Most studied baking quality characters and eventually having the eventual highest scores. Accordingly, both clusters were ranked firstly proving their superiority and consequently their readiness for selection.The means of the selected cluster of the cross " Kauz-Star X Gemmeiza 7 " surpassed both corresponding F₃ and Gemmeiza 7 Means for most baking quality characters, which are reflected in actual genetic gains . This selected cluster could be taken in wheat breading program for its better baking quality attributes, proving The effectiveness of clustering procedure as a genetic tool in selection.

Summary in Arabic.

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