Sozen And Bozoglu

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Sözen and Bozoglu



Greener
Journal of  Agricultural Sciences


Vol. 3 (10), pp.
697-701,
October 2013.


 ISSN: 2276-7770 



Research

Paper

Manuscript Number: 073013766

 

 


Morphological Variability of Colored Dry
 
 Bean
(
Phaseolus
vulgaris

L.)

Germplasm
 
 From
Artvin Province

 

 Ömer
Sözen*1, Hatice Bozoğlu2

 

1University
of Ahi Evran, Agricultural Faculty, Depermant of
Biotechnology, Campus of Aşıkpasha Kırşehir/Turkey.


2
University
of Ondokuzmayıs, Agricultural Faculty, Deparmant of
Field Crops, Campus of Kurupelit-Samsun
/Turkey.

 

*Corresponding
Author’s Email:


omer.sozen@ahievran.edu.tr,

Phone: 0090 386 280 4838
,


GSM: 0090 536 632 7555
,


Fax: 0090 386 280 4832

Abstract:

In this study, 74 villages were selected and a total of 279
samples were taken from those villages according to the
progressive sampling system. Regarding the seed size and
color of the materials, 400 genotypes were grouped. These
genotypes were sown in Samsun. Description of the genotypes
was performed according to morphologic description criteria
developed by IBPGR and EU-CPVO. A total of 68 observations
were performed by adding some important agronomic traits.
Description data for the rest colored genotypes were
mentioned in the text. Of all colored seed producing
genotypes, it was determined that 54 genotypes were dwarf,
15s genotypes were semi-dwarf and 78s genotypes were
climbing. To determine the morphologic variability of local
bean varieties of Artvin province, the collected material
was divided into two groups as white and colored seeds. 145
white seeded and 147 colored seeded genotypes were subjected
to Cluster analysis and dendogrames were formed. As a result
of the cluster analysis it was established that bean
genotypes having colored seed formed 26 subgroups. All the
data obtained shows that this material has a rich variation
and could be used for both new cultivars developing as dry
and fresh consumption and different breeding purpose.
 
Keywords: Artvin, domestic bean, description, cluster
analysis.

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