Browsing by Author "Senyiğit, Emre"

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    The parametric and non-parametric stability analyses for interpreting genotype by environment interaction of some soybean genotypes
    (Soc Field Crop Sci, 2019) Erdoğmuş, Mehmet; Ergin, Meral; Aytaç, Selim; Gümüşçü, Gönül; Gündüz, Oğuz; Keles, Ramazan; Göksoy, Abdurrahim Tanju; Sincik, Mehmet; Bayram, Gamze; Senyiğit, Emre; Uludağ Üniversitesi/Ziraat Fakültesi/Tarla Bitkileri Bölümü.; 0000-0001-8641-6995; 0000-0002-0012-4412; AAG-9296-2021; AAH-1811-2021; AAH-2595-2021; 6603101276; 23989507900; 12804561700; 57209974589
    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 b(i)<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, ai, Si(3) and Si(6) (P<0.01) and with the superiority parameter (TOP) (P<0.05).