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AN ALTERNATİVE STATISTICAL MODEL FOR THE ASSESSMENT OF DRY MATTER ACCUMULATION IN COOL SEASON CEREALS: COX REGRESSION      
Yazarlar
Dr. Öğr. Üyesi Zeynep GÖKKUŞ
Kastamonu Üniversitesi, Türkiye
Mevlüt Akçura
Çanakkale Onsekiz Mart Üniversitesi, Türkiye
Özet
In this study, the growing behaviors of some cool season cereals (bread wheat, rye, durum wheat and barley) cereals were modeled simultaneously during the two growing seasons. For this purpose, Cox Regression was proposed as an alternative to the preferred regression methods in previous studies. In the study, based on the seasonal data of two different season growing seasons (2012-2013, 2013-2014 and both), each of which has 5 replicates 27 samples, growth rates of these cereals via dry matter accumulation quantities were explained in three different models. For this purpose, the dry matter accumulation amounts were fitted to the survival data and Cox Regression method, which uses the hazard function, the rate of occurrence of a particular event, was preferred. As a result, each model was found to be very important (p < 0.000). It was determined that i) the fastest growing species was barley, ii) dry matter accumulation decreased as temperature increased, and iii) dry matter accumulation in crops changed during each growth season.
Anahtar Kelimeler
Cox regression model | cool season cereals | growing model
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı GENETIKA-BELGRADE
Dergi ISSN 0534-0012
Dergi Tarandığı Indeksler SCI-Expanded
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 01-2019
Cilt No 51
Sayı 1
Sayfalar 313 / 322
Doi Numarası 10.2298/GENSR1901313G
Makale Linki http://www.dgsgenetika.org.rs/publications/journals-genetika/