Kavuzsuz yulaf genotiplerinde büyümenin doğrusal olmayan regresyon modelleri ve Zadoks büyüme skalası ile belirlenmesi

Kavuzsuz yulafın (Avena nuda L.) gıda endüstrisindeki artan popülerliği tarımının da değerini arttırmaktadır. Kavuzsuz yulaf tanesine yönelik artan talebe karşılık bu bitkinin yetiştiriciliği üzerine yapılan çalışmalar son derece sınırlıdır. Bu çalışma, kavuzsuz yulafın büyüme ve gelişmesinin doğrusal olmayan regresyon yöntemleri ile değerlendirilmesi amacıyla bölünmüş parseller deneme desenine uygun olarak üç tekerrür ile yürütülmüştür. Bu kapsamda iki yıl boyunca kurulan tarla denemelerinde dört kavuzsuz yulaf genotipinin tüm büyüme ve gelişme dönemleri boyunca haftalık olarak toplamda 211 adet örnekleme ile kuru madde birikimleri kaydedilmiştir. Elde edilen büyüme verilerinde eğri uydurma yöntemi uygulanmış; örnekleme haftaları ve Zadoks büyüme dönemleri iki ayrı zaman ölçütü olarak karşılaştırılmıştır. Analiz sonuçları kavuzsuz yulafta kardeşlenme döneminin son haftasının büyüme ve gelişme açısından kritik bir hafta olduğunu, kuru madde birikiminin ise gebeleşme döneminde zirveye ulaştığını göstermiştir. Zadoks büyüme dönemlerinin zaman ölçütü olarak kullanıldığı analizler, belirli zayıf yönleri olmasına rağmen bitki büyümesi ve çevresel faktörlerin etkisi üzerine özgün sonuçlar sağlamıştır. Logistic, Logistic Power ve Ratkowsky modelleri 0,99177 ile 0,94206 arasında değişen belirleme katsayıları ile kavuzsuz yulafta kuru madde birikimini en iyi açıklayan modeller olmuşlardır.

Anahtar Kelimeler:

Kavuzsuz yulaf, doğrusal olmayan regresyon modelleri, kuru madde, dönüm noktası, Zadoks büyüme skalası

Determining the Growth of Naked Oat Genotypes by Using Nonlinear Regression Models and Zadoks Growth Scale

Increasing popularity of the naked oat (Avena nuda L.) in the food industry promoted the value of its cultivation. Despite the growing demand for the naked oat grain, the research about its agronomy is currently limited. Aim of this study were to evaluate the growth characteristics of naked oat with nonlinear regression models. Field trials were conducted according to the split block design with three replications. Our growth data consisted of weekly dry weight observations covering the entire growth span of four naked oat genotypes (211 samplings in total) for two growing seasons. Curve fitting successfully revealed the genotypic and environmental variations when sampling weeks and Zadoks growth stages were used as time measures in two separate analyses. According to results, last week of tillering stage were found to be critical for naked oat when the rate of growth reached its peak around booting stage. Implementing Zadoks growth stage as time measure in growth analysis had several drawbacks but revealed unique interpretations about the crop development and environmental variation. Logistic, Logistic Power and Ratkowsky models were the best fitting models to assess weekly dry weight increases with the coefficient of determinations ranging from 0.99177 to 0.94206.

Keywords:

naked oat, nonlinear regression, dry weight, point of inflection, zadoks growth stage,

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