Multivariate Analysis of Recombinant Inbred Lines of Durum Wheat (Triticum durum) in full irrigation and terminal drought stress conditions

Document Type : Research Paper

Authors

1 PhD Student, Department of Genetics and Plant Breeding, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran.

2 Associate Professor, Department of Production Engineering and Plant Genetics, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran.

3 - Assistant Professor, Seed and Plant Improvement Institute, Agricultural Research, Education and Extension Organization (AREEO), Karaj, Iran

4 Assistant Professor, Department of Production Engineering and Plant Genetics, Shoushtar Branch, Islamic Azad University, Shoushtar, Iran.

Abstract

Background and objectives: Durum wheat is the only tetraploid plant that has high commercial value. Drought is the most important abiotic stress that significantly affects the growth, physiology and reproduction of plants. Simplifying the selection procedure to improve yield of new genotypes of wheat is necessary. Performance is a complex trait that is influenced by many factors, and usually due to its low heritability, direct selection for performance is not very effective, so it is better to use indirect selection to improve yield. By using some statistical methods, it is possible to obtain the relative share of each of the yield components in the yield amount.
Materials and Methods: In this study, in order to investigate recombinant inbred lines of durum wheat with their parents (Shotordandan and Dena) the experiment in the form of alpha lattice design in two replications for two crop years 2016-2017 and 2017-2018 in the research farm of Islamic Azad University Ahvaz branch in two conditions of full irrigation and no irrigation after the pollination stage done. In this research, morphophysiological and phenological traits were measured. Phenotypic and genotypic correlation coefficients between traits and factor analysis of relationships between traits were investigated and genotypes were grouped using cluster analysis by WARD method using standard data and Euclidean distance using SPSS ver 20 software.
Results: Based on the results of composite analysis, the interaction effect of genotype × year was significant only for spike length trait. The results of phenotypic and genotypic correlations in full irrigation and stress conditions showed that the grain yield in all conditions had a positive and significant correlation with spikes. plant-1 and biological yield. Based on the results of factor analysis in the conditions of full irrigation and drought stress at the end of the season, six and five factors were identified, respectively, and these factors explained 89.3 and 79.7 percent of the changes in the data. The results of cluster analysis put the evaluated recombinant pure lines in four clusters under full irrigation conditions and five clusters under stress conditions.
Conclusion: In total, genotypes 38, 11, 2, 8, 49, 34, 50, 41, 9, 63, 47, 59, 57, 1, 4, 35, and the parent of Shotordandan were introduced as better genotypes in terms studied traits. Selection based on grain yield is not enough due to low heritability, especially in drought stress conditions, so traits that have a high and significant correlation with grain yield in drought stress conditions can be used in breeding programs in prioritized. The results of this research showed that there is a high diversity in relation to all the evaluated traits in the studied lines, which indicates the high breeding value of this population.

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