ANALYSING GROWTH PATTERNS OF SELECTED TURKISH OAT CULTIVARS USING SIGMOIDAL MODELS

Year 2022, , 95 - 102, 20.06.2022

Onur Hocaoğlu

https://doi.org/10.17557/tjfc.1064138

Abstract

Increasing popularity of oat were accompanied with the introductions of many new cultivars for the last few decades. Aim of this study were to characterize the growth and developments of Kahraman, Küçükyayla, Yeniçeri, Sebat, Otağı and Diriliş oat cultivars using sigmoidal growth models. Growth data comprised of weekly observations of dry weights and growth stages with three samplings for two consecutive years. Results indicated that the growing season were the determining factor for the dry matter accumulation until the stem elongation stage since genotype differences became apparent only in the later stages. Sigmoidal growth models successfully fitted to the growth data and allowed for further evaluations. Goodness of fit statistics implied that Logistic, Logistic Power and Ratkowsky models were the best fitting growth models to explain dry matter accumulations of oat cultivars. Analysis also showed that Otağı, Yeniçeri and Sebat cultivars reached the highest dry matter accumulations. Point of inflections on the Logistic models indicated that Küçükyayla and Kahraman were the earliest cultivars in the Marmara region. Comparison of cultivars by using the growth models proved to be informative in terms of understanding the genotypic variation.

Keywords

dry matter accumulation, earliness, growth models, Marmara, oat, Turkey

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