Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Zehra Aytaç is active.

Publication


Featured researches published by Zehra Aytaç.


Journal of Chemistry | 2017

Changes in N, K, and Fatty Acid Composition of Black Cumin Seeds Affected by Nitrogen Doses under Supplemental Potassium Application

Zehra Aytaç; Nurdilek Gulmezoglu; Tugce Saglam; Engin Gokhan Kulan; Ugur Selengil; Halit Levent Hosgun

This study was carried out to determine the efficiency of nitrogen (N) doses (0, 30, 60, and 90 kg N ha−1) under supplemental potassium (K) application (50 kg K2O ha−1) on black cumin in 2011 and 2012. The results showed that increased N levels resulted in increasing seed yield and N and K contents in seed, while oil content decreased. The seed yield and oil yield were peaked at the doses of 60 kg N ha−1 and 50 kg K ha−1. An increase in N doses caused a reduction in oil content regardless of K supply. Saturated fatty acids and oleic acid were slightly increased by K application, while minor changes in linoleic acid were detected. It was concluded that 60 kg N ha−1 with supplemental K application should be advised for enhancement in seed yield, oil yield, and N and K contents in seeds of black cumin without significant changes in fatty acid composition.


International Journal of Sustainable Agricultural Management and Informatics | 2016

Application of the common vector approach on identification of winter rapeseed (Brassica napus L.) cultivars and their yield characters

Zehra Aytaç; Nurdilek Gulmezoglu; M. Bilginer Gülmezoğlu

In this study, five winter rapeseed cultivars (Ceres, Zorro, Falcon, Express, and Samourai) growing over two years were classified by using the common vector approach (CVA), Fishers linear discriminant analysis (FLDA) and support vector machine (SVM). For this purpose, seven yield characters (plant height, number of branches per plant, number of pods per plant, number of pods on main stem, number of seeds per pod, pod length and thousand seed weight) of each cultivar were used. Cultivars grown in the years 2003 and 2005 were classified separately by using seven yield characters each of which has 20 samples. Then cultivars were also classified by using seven yield characters each of which has 40 samples obtained by combining the plant samples belonging to the years 2003 and 2005. Furthermore, the seven and six yield characters taken from five cultivars grown in 2005 were classified by using only CVA. When CVA is used in all studies, 100% classification rate is guaranteed for the training set of all studies. For the test set, the classification of five cultivars has low performance, but the classification of seven and six yield characters gave satisfactory results. It is concluded that the CVA method was more successful in the classification of different varieties belonging to any plant and/or of different characters belonging to any variety.


Turkish Journal of Field Crops | 2015

RELATIONSHIPS BETWEEN THE SEED YIELD AND SOME AGRONOMIC CHARACTERISTICS OF SAFFLOWER (Carthamus tinctorius L.) UNDER SEMI-ARID CONDITIONS

Zeynep Sirel; Zehra Aytaç

This study was carried out in the experimental field of Faculty of Agriculture, University of Eskişehir Osmangazi, in 2009 and 2010 under semi-arid conditions. Thirteen different safflower cultivars and lines (V49/848, V-50/166, V-50/426, V-51/263, KN 144, Finch, Sahuaripa 88, Ole, AC Stirling, Oleic Leed, US 10, N 5, UC-1) were used as materials. The cultivars and lines were planted in a Randomized Complete Block Design with three replications. Significant differences (P<0.01) were found for all studied yield components. The seed yield differed significantly between 976.7 and 1666.0 kg/ha. The seed yield showed a positive and significant correlation with plant height, seed yield per plant, seed weight per head and biological yield per plant. The greatest direct effect corresponded to plant height, seed weight/head and 1000-seed weight on seed yield.


African Journal of Biotechnology | 2009

Genetic variability and association studies of some quantitative characters in winter rapeseed (Brassica napus L.)

Zehra Aytaç; Gülcan Kınacı


Archive | 2008

Genetic Variation, Heritability and Path Analysis of Summer Rapeseed Cultivars

Zehra Aytaç; Gülcan Kinaci; Engin Kinaci


African Journal of Agricultural Research | 2010

Response of grain and protein yields of triticale varieties at different levels of applied nitrogen fertilizer

Nurdilek Gulmezoglu; Zehra Aytaç


Pakistan Journal of Botany | 2009

YIELD AND SOME MORPHOLOGICAL CHARACTERISTICS OF CAPER (CAPPARIS SPINOSA L.) POPULATION CULTIVATED AT VARIOUS SLOPES IN AEGEAN ECOLOGICAL CONDITIONS

Zehra Aytaç; Gülcan Kınacı; Ayhan Ceylan


Notulae Botanicae Horti Agrobotanici Cluj-napoca | 2014

The Effect of Zinc on Yield, Yield Components and Micronutrient Concentrations in the Seeds of Safflower Genotypes ( Carthamus tinctorius L.)

Zehra Aytaç; Nurdilek Gulmezoglu; Zeynep Sirel; Inci Tolay; Ayfer Alkan Torun


publisher | None

title

author


World Academy of Science, Engineering and Technology, International Journal of Agricultural and Biosystems Engineering | 2017

Nitrogen Uptake of Different Safflower (Carthamus Tinctorius L.) Genotypes at Different Growth Stages in Semi-Arid Conditions

Zehra Aytaç; Nurdilek Gulmezoglu

Collaboration


Dive into the Zehra Aytaç's collaboration.

Top Co-Authors

Avatar

Nurdilek Gulmezoglu

Eskişehir Osmangazi University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

M. Bilginer Gülmezoğlu

Eskişehir Osmangazi University

View shared research outputs
Top Co-Authors

Avatar

Zeynep Sirel

Eskişehir Osmangazi University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Engin Kinaci

Eskişehir Osmangazi University

View shared research outputs
Top Co-Authors

Avatar

Gülcan Kinaci

Eskişehir Osmangazi University

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Inci Tolay

United States Department of Agriculture

View shared research outputs
Researchain Logo
Decentralizing Knowledge