The present research was conducted to determine the reactions of 42 pure lines selected from bread wheat landraces of Eastern Anatolia, Turkey, against the leaf rust (Puccinia triticina) disease under field conditions across 7 environments. G (Genotype), GE (Genotype Environment) biplot analysis method was used to determine the reactions of landraces against leaf rust disease. GGE-biplot graph created to assess leaf rust disease was explained a 78.12% of total variation. While E3 and E2 constituted the first and second mega environments respectively, the other four environments constituted the third and fourth mega environments. The lowest PC1 values and PC2 values close to 0.0 explaining the resistance of pure lines to leaf rust at best in the biplot. Reactions of landraces varied based on their distance from the Average Environment Axis (AEA). While the pure lines with the same or similar reactions in 7 experimental environments fell close to the axis, ones with different reactions in one or more environments were relatively distant. The pure lines of EA15 and EA19 were identified as the most resistant and stable genotypes in all environments when EA42 and EA41 were the most susceptible/stable genotypes in all environments. Pure lines that were resistant or moderately resistant at all seven tested environments should be useful for breeding wheat cultivars with resistance to leaf rust in Turkey.

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Monitoring biological growth of field crops is important for planning and timing agricultural practices. In order to assess biological growth pattern of dry matter accumulation in triticale Egeyildizi triticale variety were grown in Çanakkale conditions in 2012-2013 and 2013-2014 growing seasons with continuous plant samplings from seedling emergence until seed maturation. Gompertz, Logistic, Logistic Power and Richards growth models are fitted to actual growth data and their predictions were compared. Results suggested that all sigmoidal growth models successfully explained triticale dry matter accumulation over 98 % R 2 values and low mean square errors, Richards model fitted best for both years with an R 2 value over 99 %. Dry matter accumulation were also investigated as a result of average temperature, precipitation, growth degree days and cumulative growth degree days with stepwise regression. Rresults indicated that average weather temperature had a similar pattern across both growing seasons and had a major influence on dry matter accumulation. Since Richards sigmoidal growth model may be adequately described growth pattern of triticale by generally high R 2 with lower Mean Square Error (MSE) values.

While oat is a major cold-climate cereal in Marmara region of Turkey, little is known about the nitrogen use efficiencies (NUE) of Turkish oat cultivars. This research aims to evaluate NUE, grain yield, and several agronomic traits of 5 oat cultivars in 5 nitrogen applications doses. Field trials were conducted in the Canakkale, Turkey for two growing seasons where NUE, grain yield, plant height, panicle length, grain number per panicle, and grain weight per panicle were determined. Results of variance analysis indicated statistical significance for year, genotype, N dose, and Genotype x N dose effects for all traits. New oat cultivars (Kahraman, Yeniceri, and Sebat) were found to have higher grain yield and NUE compared to the older cultivars (Chekota and Seydisehir). Grain yield response of each cultivar to the increasing N levels were further investigated with regression analysis and Princial Component Analysis (PCA) Biplot. Results suggested that Kahraman has the highest grain yield potential when Sebat and Yeniceri can be recommended for the higher N doses. We conclude that oat breeding efforts of the last decade may have contributed to higher NUE along with improving grain yield of oat cultivars in Turkey.

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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.

Kavuzsuz yulaf, besleyici tanesi ve gıda sanayiindeki geniş kullanım imkanlarıyla dikkat çeken ülkemiz için yeni bir tahıldır. Bu çalışmada 3 kavuzsuz yulaf genotipi ile Kahraman, Diriliş, Küçükyayla, Otağı, Sebat ve Yeniçeri yulaf çeşitlerinin tane verimi (TV), bin tane ağırlığı (BTA), hektolitre ağırlığı (HL) ve biyolojik verim (BV) yönlerinden karşılaştırılması amaçlanmaktadır. Çanakkale’de 2019-2020 ve 2020-2021 sezonlarında tesadüf blokları deneme desenine göre iki tekrarlamalı olarak kurulan tarla denemelerinden elde edilen sonuçlar varyans analizi, Tukey testi ve GÖ (Genotip Özellik) Biplot yöntemleri kullanılarak değerlendirilmiştir. Araştırma sonuçlarına göre tescilli yulaf çeşitlerinden Diriliş TV, Kahraman HL, Otağı ise BV değerleri ile öne çıkmışlardır. Kavuzsuz yulaf genotiplerinde yüksek TV ve BTA belirlenmiş, ülkemizde kavuzsuz yulafın üretim potansiyelinin yüksek olduğu sonucuna ulaşılmıştır.