Utilizing the Stability of Yield Parameters as a Technique to Select Salinity-Tolerant Wheat Genotypes

Abstract

Considering that agricultural production needs to be adjusted to global climate changes, it is of particular importance to develop bread wheat germplasm with improved tolerance to abiotic stress conditions. Therefore, the aim of this research was to identify stable wheat genotypes with increased salinity stress tolerance. The experiment was conducted with 27 wheat genotypes, at two localities: Kumane (solonetz soil type) and Rimski Šančevi (chernozem soil type) during two growing seasons. A significant influence of genotype and environment, as well as G × E interaction, on the phenotypic expression of yield components was found. The factor of genotype had the largest effect on the variation in plant height (38.7%) and the smallest effect on the variation in the number of grains per spike (8.24%). The greatest influence of the environment (64.7%) and G × E interaction (17.44%) was found in the variation in the number of grains per spike. Salinity conditions contributed the most to the decrease in the number of grains per spike (30%), which is considered the best indicator of the impact of stress on the plant. The smallest decrease in the number of grains per spike was recorded in the genotypes Šumadija (16.0%) and Harmonija (18.8%). However, AMMI and PCA analyses showed that the genotype Harmonija is characterized by a higher value of the number of grains per spike and greater stability. The genotypes Renesansa, Jugoslavija, Bankut 1205, and Harmonija were characterized by the smallest reduction in plant height under salinity conditions, among which Jugoslavija and Renesansa exhibited high stability and lower trait values. The smallest reduction in spike length was found in the genotypes Jugoslavija and Šumadija, which exhibited the specific adaptability to salinity stress. In terms of salinity tolerance, the genotypes Šumadija, Harmonija, and Renesansa are considered valuable genetic resources in breeding programs.

Keywords

• ammi
• g × e interaction
• pca analysis
• stability
• salinity stress