ORIGINAL RESEARCH
Determination of Yield and Yield Components of Some Oat Cultivars, Grown in the Eastern Anatolia Conditions, by Correlation, Path and Cluster Analysis
 
 
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Van Yuzuncu Yil University, Gevas Vocational School, Department of Plant and Animal Production, Van-Turkey
 
 
Submission date: 2021-04-09
 
 
Final revision date: 2021-06-20
 
 
Acceptance date: 2021-07-27
 
 
Online publication date: 2021-12-07
 
 
Publication date: 2022-01-28
 
 
Corresponding author
Fevzi Altuner   

Gevas Vocational School, Van Yuzuncu Yil University, Yali Neighborhood, 65080, Van, Turkey
 
 
Pol. J. Environ. Stud. 2022;31(1):575-584
 
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ABSTRACT
This study was carried out to determine the effects of some agronomic characteristics on grain yield (GY) in 12 oat cultivars by correlation, path and cluster analysis. The GY varied between 2563-4134 kg/ha and the highest GY was obtained from Haskara, Seydisehir and Dirilis cultivars and the lowest GY was taken from Chekota cultivar. According to the correlation results, positive significant relationships were found between plant height (PH) with harvest index (H)I and negative significant correlaltion with panicle length (PL), number of grains per panicle (NGP), thousand-grain weight (TGW), and total yield (TY). Significant negative relationships among the number of panicles per square meter (NPSM) with NGP and grain weight per panicle (GWP) have been identified. There was a significant positive correlation between the PL and NGP. Positive significant relationships between the NGP with GWP and negative significant relationships with HI have emerged. There is a negative and significant relationship between HI and TY. According to the results of the path analysis, it was determined that the highest positive direct effect on GY was provided by the NPSM (P = 0.699, 25.32%), while the highest negative direct effect was TY (P = -2.190, 36.42%). According to the cluster analysis results of the characteristics examined, it was understood that the cultivars of oat were 64.96% similar and 35.04% different.
eISSN:2083-5906
ISSN:1230-1485
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