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:: Volume 25, Issue 4 (winter 2024) ::
علوم زراعی 2024, 25(4): 342-361 Back to browse issues page
Selection of durum wheat (Triticum turgidum L. var. durum) genotypes tolerant to terminal season drought stress using multi-trait indices (MGIDI)
Manoochehr Dastfall , Tohid Najafi Mirak , Hassan Zali
Field and Horticultural Crops Sciences Research Department, Fars Agricultural and Natural Resources Research and Education Center, Agricultural Research, Education and Extension Organization, Darab, Iran
Abstract:   (200 Views)
Introduction: Drought stress constaints crop production in the world. Terminal season drought stress is one of the important environmental factors of yield reduction in durum wheat in semi-arid regions. Therefore, high yielding genotypes with drought tolerance is an efficient approach to mitigate its adverse effects. With declining resources of water and escalating intensity of drought, yield loss is an alarm in semi-arid regions. However, development of drought tolerance depends on complex traits and their interaction with environmental factors. Likewise, choosing genotypes with drought tolerant is a tricky task. Alternatively, some statistical parameters as well as drought tolerance indices can be employed to compare the changes in grain yield in normal and drought stress conditions for identification of high yielding genotypes with drought tolerance.
Material and Methods: To identify terminal season drought-tolerant genotypes, 17 promising genotypes of durum wheat were evaluated at the Darab Agricultural Research Station, Iran. The evaluation was conducted in randomized complete block design with three replications and over two cropping seasons (2020-2022), both under non-stress conditions and terminal drought stress conditions by irrigation withdrawal at the flowering stage (GS 60). The indices of drought tolerance studied were yield under non-stress conditions (Yp); yield under stress conditions (Ys); tolerance index (TOL); stress susceptibility index (SSI); mean productivity (MP); geometric mean productivity (GMP); stress tolerance index (STI); harmonic mean (HM); percentage of yield decrease (R%); yield index (YI); yield stability index (YSI); relative drought index (RDI); abiotic-stress tolerance index (ATI); stress susceptibility percentage index (SSPI); stress non-stress production index (SNPI). SIIG (selection index of ideal genotype), CSI (combination of significant indices) and MGIDI (multi-trait genotype-ideotype distance index) indices were used in order to integrate different indices of drought tolerance and better selection of drought tolerant genotypes.
Results: The results of combined analysis of variance for grain yield under non-stress and terminal season drought stress conditions indicated that the effects of year, environment and genotype on grain yield were significant. Additionally, the heatmap analysis revealed that the lowest observed grain yield was associated with terminal season drought stress conditions in the 2020-2021, while the highest observed grain yield occurred in the 2021-2022 under non-stress conditions. Furthermore, the highest grain yield (kg.ha-1) under normal irrigation conditions (Yp) was observed for genotypes 2 (8178), 1 (7938), 17 (7698), 19 (7662), 18 (7659), 14 (7451), and 10 (7413), respectively. On the other hand, the highest grain yield (kg.ha-1) under drought stress (Ys) was related to genotypes 18 (5639), 4 (5489), 8 (5479), 10 (5473), 13 (5434), and 6 (5404), respectively. Moreover, based on the TOL, ATI, and SSPI indices, genotypes 9, 4, 12, and 15 with the lowest values of these indices were identified as stress-tolerant genotypes. In addition, based on the SSI and %R indices, genotypes 4 and 8, which had the lowest values of these indices, respectively, were also classified as stress-tolerant genotypes. Examining the MP, GMP, and HM indices revealed that genotypes 2, 18, 1, 17, and 10 exhibited the highest values and were identified as the best-performing genotypes, respectively. Similarly, based on the SNPI index, genotypes 4, 8, 18, 13, and 6 demonstrated the highest values and were among the drought tolerant genotypes. The results also showed that the genotypes 18, 4, 8, 10, and 13 had the highest values of the YI index, respectively. The results revealed that the SIIG and CSI indices had positive and significant correlation with Yp and Ys. Conversely, MGIDI index had negative and significant correlation with Yp and Ys. The results of principal component analysis (PCA) revealed that the investigated genotypes were placed in four areas of the biplot diagram. The genotypes of area one (5, 7, 9, 12 and 15) exhibited low yield potential under both non-stress and stress conditions. The genotypes of the second region (1, 2, 14 and 19) showed high grain yield potential under non stress conditions. The genotypes of the third region (6, 10, 13, 17 and 18) demonstrated high yield potential under both non-stress and stress conditions, leading to their selection as superior genotypes. Therefore, MP, GMP, HM and STI indices were positioned within the area of the three PCA diagrams, proved suitable in identifying high yielding and drought tolerant genotypes. Furthermore, genotypes in fourth area (3, 4, 8, 11, 13, 15 and 20) displayed higher grain yield under terminal season drought stress conditions.
Conclusion: The results of this experiment showed that MGIDI, CSI and SIIG indices had sufficient efficiency in selecting high yielding and tolerant durum wheat genotypes. Efficiency of SIIG, MGIDI and CSI indices in selection of high yielding terminal drought tolerant genotypes were similar, and genotypes 2, 10, 17 and 18 were selected. However, based on all three indices, only genotype 18 ranked first. Therefore, genotype 18 which was located in the third area of PCA diagram and performed higher than average grain yield under both and non stress and stress conditions, was identified as adapted drought tolerant genotype for the Darab region and similar areas.
 
Keywords: Grain yield, Drought tolerance indices, Durum wheat, Principal components analysis and SIIG index
Full-Text [PDF 1131 kb]   (73 Downloads)    
Type of Study: Scientific & Research | Subject: Special
Received: 2023/12/18 | Accepted: 2024/02/20 | Published: 2024/03/15
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Dastfall M, Najafi Mirak T, Zali H. Selection of durum wheat (Triticum turgidum L. var. durum) genotypes tolerant to terminal season drought stress using multi-trait indices (MGIDI). علوم زراعی 2024; 25 (4) :342-361
URL: http://agrobreedjournal.ir/article-1-1334-en.html


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Volume 25, Issue 4 (winter 2024) Back to browse issues page
نشریه علوم زراعی ایران Iranian Journal of Crop Sciences
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