Performance and Stability Analysis of Selected Durum Wheat Genotypes Differing in Their Kernel Characteristics

• Published in: Plants (Basel) 2023-07, Vol.12 (14), p.2664
• Main Authors: Al-Sayaydeh, R, Shtaya, M J, Qubbaj, T, Al-Rifaee, M K, Alabdallah, M A, Migdadi, O, Gammoh, I A, Al-Abdallat, A M
• Format: Article
• Language: English
• Subjects: Agricultural production; AMMI analysis; Analysis; Climate change; Crop yield; Drought; Durum wheat; Environmental aspects; Genetic aspects; Genotype; Genotype & phenotype; Genotypes; GGE biplot; grain yield; Growing season; Harvesting; Heat; Inbreeding; kernel length; Kernels; Pasta; Performance evaluation; Physiological aspects; Plant breeding; Rain; salinity; Seasons; Stability analysis; Temperature; Triticum durum; Variance analysis; Variation; Wheat
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants12142664

Breeding of high-yielding and stable durum wheat varieties with improved kernel characteristics is needed for dry regions around the globe. The aim of this study was to investigate the performance and stability of eight durum wheat genotypes varying in their kernel characteristics across 15 contrasting environments. The tested material included three recombinant inbred lines (NUR-072, NUR-106 and NUR-238) derived from a cross between Norsi, a Jordanian landrace with special kernel characteristics and UC1113 , an elite line from USA. Field trials were carried out for three constitutive growing seasons under rainfed conditions, except for three environments where supplementary irrigation was provided. After the harvest, grain yield (GY), total yield (TW), and harvest index (HI) were recorded. Additionally, several kernel-related traits, including thousand kernel weight (TKW), kernel area (KA), kernel width (KW), kernel length (KL), kernel circularity (KC), and kernel length-width ratio (KL:KW) were evaluated. Analysis of variance for all tested traits revealed high significant variations ( ) between the genotype (except for TW) and the genotype × environment (G × E) interaction. Genotype effect contributed to substantial percentage of variation (>75%) for KA, KL, KC and KL:KW, whereas KW showed a lower percentage similar to GY. Regarding the G × E effect, explained variation was highest for the TW (67.79%), and lowest for KL (6.47%). For GY, Norsi produced significantly the lowest mean value (249.99 g.m ) while, Bolenga produced the highest mean value (377.85 g.m ) although no significant differences were observed with the remaining genotypes. On the other hand, Norsi, NUR-072 and NUR-106 showed best performance for TKW and kernel-related traits with NUR-106 producing the highest mean value for KL (9.07 mm). The GGE biplot and AMMI analysis of GY identified Bolenga, Um Qais and NUR-106 as good performers across several environments, while Norsi exhibited the poorest performance. For TKW, Norsi was the best performer across different environments followed by NUR-106, which showed excellent performance under irrigated and saline conditions. For stability analysis, NUR-106 emerged as the most stable genotype in this study for GY and several kernel-related traits, particularly for KL and KC. In conclusion, the results of this study offer valuable insights for durum wheat breeders seeking to develop high-yielding and stable varieties with special kernel character