scholarly journals Evaluation of Drought Stress Tolerance in Some Faba Bean Genotypes Using Drought Tolerance Indices and Biochemical Compounds

2021 ◽  
Vol 11 (2) ◽  
2021 ◽  
Author(s):  
Md Habib ◽  
Md Mannan ◽  
Md Karim ◽  
Md Miah ◽  
Hari Singh

Abstract Crop productivity is greatly affected by drought stress. Understanding the drought tolerance capability of the crop varieties available in a country is the foremost consideration for drought adaptation. The objective of this research work was to examine the drought tolerance potentiality of 5 cultivated barley varieties (BARI Barley5, BARI Barley6, BARI Barley7, BARI Barley8 and BARI Barley9) through calculating drought tolerance indices. A completely randomized design (CRD) with three replications was followed in the experiment, where crops were grown under control (80% of FC) and water deficit environment (50% of FC). Stress Tolerance (TOL), Mean Productivity (MP), Geometric Mean Productivity (GMP), Stress Susceptibility Index (SSI), Stress Tolerance Index (STI), Harmonic Mean (HAM), Yield Index (YI) and Yield Stability Index (YSI) were calculated based on grain yield under control and drought conditions. BARI Barley7 and BARI Barley8 were the most tolerant variety and BARI Barley9 considered as susceptible based on TOL and SSI. Drought tolerance indices like MP, HAM, GMP, TOL as well as STI were showed a high correlation with grain yield under both conditions and were recognized as appropriate indices to identify varieties with high grain yield and low sensitivity to drought stress.


2020 ◽  
Vol 115 (1) ◽  
pp. 105
Author(s):  
Sara KHOSRAVI ◽  
Reza AZIZINEZHAD ◽  
Amin BAGHIZADEH ◽  
Mahmood MALEKI

<p>This study was carried out on grain yield in wheat genotypes with the aim of assessing genetic potential of drought tolerance. The experiment was performed as split plot in the form of randomized complete block design with three replications under normal and drought stress conditions with 32 genotypes. Based on grain yield, and under the condition of non-stress and drought stress, 5 drought tolerance indices are estimated including Tolerance Index (TOL), Stress Tolerance (STI), Mean Productivity (MP), Geometric Mean (GMP) and, Harmonic Mean (HM) for all kinds of genotypes. The analysis of yield correlation and drought tolerance indices in two environments indicated that STI, MP, GMP, HM indices were the most suitable parameters for screening wheat genotypes. Principal components analysis exhibited that the 83 % of first principal component and the 15 % of second one justified the variation of the initial data. Drawing bi-plot diagram declared that Sabalan, Shabrang, Aria, Azar, Azadi, and T2 genotypes were highly functional and resistant to drought stress.</p>


2012 ◽  
Vol 1 (3) ◽  
pp. 543 ◽  
Author(s):  
H. Moradi ◽  
G A. Akbari ◽  
S. Khavari Khorasani ◽  
H A. Ramshini

In order to study the effect of drought stress on morphophysiologic characteristics,yield and yield components of 8 new hybrids of corn (Zea maize L.) and KSC704commercial hybrid as control resistant to drought and warm (which were bred andscreened in Khozestan province condition), an experiment was conducted in aRandomized Complete Block Design (RCBD) with three replications underdrought stress and normal irrigation at Khorasan-Razavi Agriculture ResearchCenter, Mashhad, Iran on June 10, 2011. The results of analyze variance showedthat under normal irrigation and drought condition, there was a significantdifference (p<0.01) between the hybrids. Mean comparison of hybrids revealedthat in normal irrigation H6 and in drought stress H8 hybrid had the maximumgrain yield (12.85 and 6.75 ton/ha, respectively). Based on the grain yields ofstudied hybrids, stress tolerance index (STI), stress susceptibility index (SSI),tolerance index (TOI), mean productivity (MP), geometric mean productivity(GMP), harmonic mean (HM) and golden mean (GM) were estimated. Resultsshowed that among drought tolerance indices, MP, GMP, STI and HM were thebest indices for corn and KSC704 hybrid and H4 had the highest tolerance todrought in Mashhad weather condition.


2021 ◽  
Vol 117 (1) ◽  
pp. 1
Author(s):  
Pooran GOLKAR ◽  
Esmaeil HAMZEH ◽  
Seyed Ali Mohammad MIRMOHAMMADY MAIBODY

<p>Improvement of elite safflower genotypes for drought-tolerance is hampered by a deficiency of effective selection criteria. The present study evaluated 100 genotypes of safflower in terms of their drought tolerance over a period of three years (2016–2018) under both non-stress and drought-stress conditions. The eight drought-tolerance indices of tolerance index (TOL), mean productivity (MP), geometric mean productivity (GMP), stress susceptibility index (SSI), stress tolerance index (STI), yield stability index (YSI), drought resistance index (DI), and harmonic mean (HARM) were calculated based on seed yield under drought (Y<sub>s</sub>) and non-drought (Y<sub>p</sub>) conditions. A high genetic variation was found in drought tolerance among the genotypes studied. The MP, GMP, and STI indices were able to discriminate between tolerant and drought-sensitive genotypes. Plots of the first and second principal components identified drought-tolerant genotypes averaged over the three study years. Cluster analysis divided the genotypes into three distinct groups using the drought tolerance indices. Ultimately, eight genotypes (namely, G<sub>3</sub>, G<sub>11</sub>, G<sub>13</sub>, G<sub>24</sub>, G<sub>33</sub>, G<sub>47</sub>, G<sub>58</sub>, and G<sub>61</sub>) from different origins were detected as more tolerant to drought stress suitable for use in safflower breeding programs in drought-affected areas. The most tolerant and susceptible genotypes could be exploited to produce mapping populations for drought tolerance breeding programs in safflower.</p>


2020 ◽  
Vol 80 (01) ◽  
Author(s):  
Bhupender Kumar ◽  
Krishan Kumar ◽  
Shankar Lal Jat ◽  
Shraddha Srivastava ◽  
Tanu Tiwari ◽  
...  

Drought stress is the major production constraint in rainfed maize. Screening for drought tolerance is severely affected by the lack of a simple and reliable phenotyping technique. The objective of this study was to standardize a simple hydroponic based drought screening technique in maize. In this context, one week old uniform seedlings of 55 inbreds and 5 hybrids were transferred to hydroponic solution in the glass house. The seedlings were allowed to acclimatize for next one week in hydroponic solution. The drought stress was imposed by removing seedlings from nutrient solution and exposed to air for 6 and 4 hours daily for a period of 5 and 4 consecutive days in hybrids and inbreds, respectively. Data were recorded on all shoot and root parameters, and based on stress symptoms, a drought tolerance score was given to each genotype. The percent deductions in shoot and root fresh weight from non-stress to stress ranged from 11.7 to 84.4 and 2.1 to 77.5, respectively. Six inbred lines, namely, DQL790-4, CML334, CM140, CML422, CM125 and HKI488 and three hybrids namely DMRH1306, DMRH1410 and PMH4 were found drought tolerant. The effectiveness of this screening technique was compared and confirmed using pots screening as well as by expression profiling of key antioxidant genes (Sod2, Sod4, Sod9 and Apx1) playing role in drought stress tolerance. This phenotyping technique is very short, low cost and simple which can be utilized in preliminary drought screening for large set of maize germplasm and mapping populations.


Author(s):  
Pardeep Kumar ◽  
Mukesh Choudhary ◽  
B. S. Jat ◽  
M. C. Dagla ◽  
Vishal Singh ◽  
...  

Abstract This chapter focuses on target traits for drought stress, progress in mapping for drought tolerance-associated genes/QTLs identification and expression studies and introgression strategies followed by the possibilities of integrating the concept of speed breeding in maize drought breeding programmes for better utilization of wild relatives.


2021 ◽  
Vol 11 ◽  
Author(s):  
Anjuman Arif ◽  
Najma Parveen ◽  
Muhammad Qandeel Waheed ◽  
Rana Muhammad Atif ◽  
Irem Waqar ◽  
...  

This study was planned with the purpose of evaluating the drought tolerance of advanced breeding lines of chickpea in natural field conditions. Two methods were employed to impose field conditions; the first: simulating drought stress by growing chickpea genotypes at five rainfed areas, with Faisalabad as the non-stressed control environment; and the second: planting chickpea genotypes in spring to simulate a drought stress environment, with winter-sowing serving as the non-stressed environment. Additive main effects and multiplicative interaction (AMMI) and generalized linear models (GLM) models were both found to be equally effective in extracting main effects in the rainfed experiment. Results demonstrated that environment influenced seed yield, number of primary and secondary branches, number of pods, and number of seeds most predominantly; however, genotype was the main source of variation in 100 seed weight and plant height. The GGE biplot showed that Faisalabad, Kallur Kot, and Bhakkar were contributing the most in the GEI, respectively, while Bahawalpur, Bhawana, and Karor were relatively stable environments, respectively. Faisalabad was the most, and Bhakkar the least productive in terms of seed yield. The best genotypes to grow in non-stressed environments were CH39/08, CH40/09, and CH15/11, whereas CH28/07 and CH39/08 were found suitable for both conditions. CH55/09 displayed the best performance in stress conditions only. The AMMI stability and drought-tolerance indices enabled us to select genotypes with differential performance in both conditions. It is therefore concluded that the spring-sown experiment revealed a high-grade drought stress imposition on plants, and that the genotypes selected by both methods shared quite similar rankings, and also that manually computed drought-tolerance indices are also comparable for usage for better genotypic selections. This study could provide sufficient evidence for using the aforementioned as drought-tolerance evaluation methods, especially for countries and research organizations who have limited resources and funding for conducting multilocation trials, and performing sophisticated analyses on expensive software.


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