The Parametric and Non-Parametric Stability Analyses for Interpreting Genotype by Environment Interaction of Some Soybean Genotypes

Abstract

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).

Identifikasi Stabilitas Hasil Genotipe Ubi Jalar (Ipomoea batatas L. (Lam)) Harapan Baru di Tiga Lingkungan

“…Efek GxE telah banyak dipelajari secara luas oleh para pemulia tanaman dalam menyeleksi genotipe yang stabil dan berdaya hasil tinggi. Berbagai metode telah diusulkan untuk dapat digunakan sebagai indeks seleksi bersama dengan hasil rata-rata peringkat stabilitas genotipe (Farshadfar et al, 2012;Abate et al, 2015;Khalili dan Pour-aboughadareh, 2016;Goksoy et al, 2019;Vaezi et al, 2019). Dalam penelitian ini, digunakan beberapa pengukuran stabilitas parametrik dan non-parametrik, serta model GGE biplot untuk mengidentifikasi genotipe ubi jalar yang stabil dan berdaya hasil tinggi.…”

Maize Hybrids: Mega-Environments in Java Island, Indonesia

“…According to Ahmadi et al 18 , selection of stable genotypes with one stability measurement was considered less effective and accurate. The same thing was also expressed by several researchers who used various stability measurements to select stable and high-yielding genotypes, including barley 20 , sweet potatoes 7,9 , and soybeans 24 . Each stability measurement generally selects a different hybrid as the most stable.…”

INTEGRATING DIFFERENT STABILITY MODELS TO INVESTIGATE HIGH YIELDING SAFFLOWER (Charthamus tinctorius L.) GENOTYPES

“…Besides parametric and non-parametric statistics, biplot graphs improved the success in identifying the stability parameters suitable for selections in safflower breeding programs. Similarly, Vaezi et al (2019) in barley, Goksoy et al (2019) in soybean, Oyekunle et al (2016) in maize and Jamshidmoghaddam and Pourdad (2013) in safflower, indicated significant advantages of combined use of parametric and non-parametric stability statistics with GGE biplot approaches in identification of stable genotypes.…”