Seed yields of 15 soybean genotypes were evaluated in three locations i.e. Bursa, Samsun and Konya under main crop conditions through summer seasons from 2014 to 2016. The used design was a randomized complete block design with four replications. This research is aimed to estimate the stability parameters of seed yield of 15 soybean genotypes by used different stability analysis methods over nine environmental conditions and to study interrelationship among these stability methods. Genotypes, environments and genotype by environment interactions (GEI) played a significant role in terms of seed yield in this study. The genotypes KAMD 03, BATEM 306, BDUS 04, ARISOY and ATAEM 07 had higher seed yields and regression coefficient values above 1.0. These genotypes are sensitive to environmental variations and would be suggested for cultivation under favourable conditions, whereas KAMD 01, KASM 02 and KASM 03 with bi<1 and lowest average yields were poorly adapted across unfavourable environment conditions. The genotype BDSA 05 having regression coefficient below 1.0 and higher seed yield than average yield were goodly adapted to unfavourable environment conditions. The results of most parametric and non-parametric stability analyses showed that genotypes BDUS 04, KASM 02, KASM 03, KAMD 03 and BDSA 05 were stable genotypes. These genotypes were demonstrated superior adaptability with high yield performances in many environments. Results of correlation analysis indicated that seed yield was significantly correlated with Ri 2 (P<0.05), Si(3) (P<0.05), Di (P<0.01), Si(6) (P<0.01), TOP (P<0.01) and showed a negative and significant correlation with Pi and RS (P<0.01). The coefficient of regression (bi) had positively significant associated with CVi, αi, Si(3) and Si(6) (P<0.01) and with the superiority parameter (TOP) (P<0.05).

he GxE interaction (GEI) provides essential information for selecting and recommending cultivars in multi-environment trials. This study aimed to evaluate genotype (G) and environment (E) main effects and GxE interaction of 15 canola genotypes (10 canola lines and 5 check varieties) over 8 environments and to examine the existence of different mega environments. Canola yield performances were evaluated during 2015/16 and 2016/17 production season in three different locations (Southern Marmara, Thrace side of Marmara, and Black Sea regions) of Turkey. The trial in each location was arranged in a randomized complete block design with four replications. The seed yield data were analyzed using GGE biplot and the yield components data were analyzed using ANOVA. The agronomical traits revealed that environments, genotypes, and GEI were significant at 1 % probability for all of the characters. The variance analysis exhibited that genotypes, environments, and GEI explained 21.6, 21.7, and 25.7 % of the total sum of squares for seed yield, respectively. The GGE biplot analysis showed that the first and second principal components explained 57.3 and 18.3 % of the total variation in the data matrix, respectively. GGE biplot analysis showed that the polygon view of a biplot is an excellent way to visualize the interactions between genotypes and environments.

Bu araştırma, Bursa koşullarında ikinci ürün olarak yetiştirilen mısırda uygun bitki sıklığı ve ekim şeklinin belirlenmesi ve bunların verim ve kalite üzerine olan etkilerini incelemek, bu konuda ileride yapılacak araştırmalara ışık tutmak ve bölge çiftçilerine yardımcı olmak amacıyla yapılmıştır. Bu çalışmada bitki materyali olarak Bora çeşidi kullanılmıştır. Deneme, 2009-2010 yıllarında Uludağ Üniversitesi Ziraat Fakültesi Tarımsal Araştırma ve Uygulama Merkezi'nde yürütülmüştür. Bölünmüş Parseller Deneme Desenine göre 3 tekrarlamalı olarak kurulmuştur. Denemede 3 farklı ekim şekli (50 cm, 70 cm ve 25+45 cm) ve 4 farklı bitki sıklığı (5500, 7500, 9500 ve 11500 bitki da-1) kullanılmıştır. İki yıl süren bu araştırmada, bitki boyu, sap kalınlığı, yaprak oranı, yeşil ot verimi, kuru madde verimi, ham protein oranı belirlenmiştir. Araştırmada, bitki boyu ekim şekillerinden etkilenmiş, bitki sıklığı arttıkça bitki boyunda artış saptanmıştır. Çift sıra ekim şeklinin daha kalın saplı bitki oluşturduğu belirlenmiştir. Artan bitki sıklıklarıyla birlikte sap kalınlığında azalma meydana gelmiştir. Çift sıra ekim yönteminde (25+45 cm) yaprak oranı, diğer ekim şekillerine göre daha yüksek bulunmuştur. En yüksek yaprak oranı, en yüksek bitki sıklığında elde edilmiştir. Araştırma sonuçlarına göre, çift sıra ekiminde yeşil ot verimi önemli oranda artmıştır. Artan bitki sıklığı ve birim alandaki bitki sayısının da artmasıyla yeşil ot verimde artış olmuştur. Sonuç olarak, denemenin tarımsal ekolojik koşullarında ikinci ürün mısır üretiminde 11500 bitki da-1 yoğunluğu ve 25+45 cm ekim şeklinin daha iyi sonuç verdiği saptanmıştır.

In the study it is aimed to determine the stabilities of some agronomic traits of 10 different durum wheats over the years in conditions of Bursa. Research was carried out in randomized complete block design with three replications between the years of 2008-2013. Averages of genotypes of agronomic characteristics, Eberhart and Russell's regression coefficient and deviation from regression, Francis and Kannenberg's coefficient of variation and environmental variance used as stability parameters. When the results of the study evaluated at the stability analysis, Amb × Çak-30 lines were determined to be stable in most of the agronomic traits. As for grain yield, which is of great importance for the producer, breeding lines of Amb × Çak -26 and Amb × Çak-30 were determined in good harmony at Bursa under different climatic conditions over five years.