Response of upland cotton (G.hirsutum L.) genotypes to drought stress using drought tolerance indices

2016 ◽  
Vol 19 (1) ◽  
pp. 53-59 ◽  
Author(s):  
Chandrakant Singh ◽  
Vijay Kumar ◽  
Indivar Prasad ◽  
Vishal R. Patil ◽  
B. K. Rajkumar
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>


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.


2015 ◽  
Vol 21 ◽  
pp. 109-122 ◽  
Author(s):  
Soran Sharafi ◽  
Kazem Ghassemi Golezani ◽  
Soleyman Mohammadi ◽  
Shahram Lak ◽  
Behzad Sorkhy

Context: Evaluation of tolerance of different barley genotypes to drought stress, an experiment carried out in randomized block design (RCBD) with three replication during 2009-2010 growing seasons and 20 barley genotypes were studied in normal and water deficit in post anthesis stage conditions at the Saatloo Research Farm Azerbaiejan, Iran. Results: The result of variance analysis showed that there were highly significant differences between genotypes in all of the studied traits, also it was cleared that all of traits except spike length reduced in water deficit condition as compared to normal condition and seed yield, biomass and 1000 seed weight traits had the most reduction (31, 25 and 20 percent, respectively). To identify of tolerance barley genotypes to drought stress, drought tolerance indices (STI, TOL, SSI, MP, HM and GMP), correlation coefficients, principal components analysis and cluster analysis were used. The result of correlation coefficients indicated that there were significant and positive correlation between seed yield in normal and stress conditions and drought tolerance indices. Also the result of principal components analysis showed that two components justified 99% of total variations. MP, GMP, STI and HM indices and TOL and SSI indices had the most coefficients in the first and second component, respectively, so are named tolerance and sensitivity component, respectively. Conclusion: MP, HM, STI and GMP indices were appropriate indices to select of drought tolerance barley genotypes. On the other hand, the result of cluster analysis showed that 13, 14 and 7 genotypes and 18, 1 and 2 genotypes were tolerance and sensitivity genotypes to water deficit at post anthesis stage. DOI: http://dx.doi.org/10.3329/jbs.v21i0.22525 J. bio-sci. 21: 109-122, 2013


2021 ◽  
Vol 12 ◽  
Author(s):  
FengLei Sun ◽  
Qin Chen ◽  
QuanJia Chen ◽  
Menghui Jiang ◽  
Wenwei Gao ◽  
...  

Drought is one of the main abiotic stresses that seriously influences cotton production. Many indicators can be used to evaluate cotton drought tolerance, but the key indicators remain to be determined. The objective of this study was to identify effective cotton drought tolerance indicators from 19 indices, including morphology, photosynthesis, physiology, and yield-related indices, and to evaluate the yield potential of 104 cotton varieties under both normal and drought-stress field conditions. Combined with principal component analysis (PCA) and a regression analysis method, the results showed that the top five PCs among the 19, with eigenvalues &gt; 1, contributed 65.52, 63.59, and 65.90% of the total variability during 2016 to 2018, respectively, which included plant height (PH), effective fruit branch number (EFBN), single boll weight (SBW), transpiration rate (Tr) and chlorophyll (Chl). Therefore, the indicator dimension decreased from 19 to 5. A comparison of the 19 indicators with the 5 identified indicators through PCA and a combined regression analysis found that the results of the final cluster of drought tolerance on 104 cotton varieties were basically consistent. The results indicated that these five traits could be used in combination to screen cotton varieties or lines for drought tolerance in cotton breeding programs, and Zhong R2016 and Xin lu zao 45 exhibited high drought tolerance and can be selected as superior parents for good yield performance under drought stress.


Agriculture ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 994
Author(s):  
Norain Jamalluddin ◽  
Festo J. Massawe ◽  
Sean Mayes ◽  
Wai Kuan Ho ◽  
Ajit Singh ◽  
...  

Amaranth (Amaranthus tricolor), an underutilized climate smart crop, is highly nutritious and possesses diverse drought tolerance traits, making it an ideal crop to thrive in a rapidly changing climate. Despite considerable studies on the growth and physiology of plants subjected to drought stress, a precise trait phenotyping strategy for drought tolerance in vegetable amaranth is still not well documented. In this study, two drought screening trials were carried out on 44 A. tricolor accessions in order to identify potential drought-tolerant A. tricolor germplasm and to discern their physiological responses to drought stress. The findings revealed that a change in stem biomass was most likely the main mechanism of drought adaptation for stress recovery, and dark-adapted quantum yield (Fv/Fm) could be a useful parameter for identifying drought tolerance in amaranth. Three drought tolerance indices: geometric mean productivity (GMP), mean productivity (MP) and stress tolerance index (STI) identified eight drought-tolerant accessions with stable performance across the two screening trials. The highly significant genotypic differences observed in several physiological traits among the amaranth accessions indicate that the amaranth panel used in this study could be a rich source of genetic diversity for breeding purposes for drought tolerance traits.


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 ◽  
Author(s):  
Xingzhen Zhao ◽  
Zhangxiong Liu ◽  
Huihui Li ◽  
Yanjun Zhang ◽  
Lili Yu ◽  
...  

Abstract Background Drought stress influences the vigor of plant seeds and inhibits seed germination, making it one of the primary environmental factors adversely affecting food security. The seed germination stage is critical to ensuring the growth and productivity of soybeans in soils prone to drought conditions. We here examined the genetic diversity and drought-tolerance phenotypes of 410 accessions of a germplasm diversity panel for soybean and conducted quantitative genetics analyses to identify loci associated with the drought-tolerance of seedlings. Results We uncovered significant differences among the diverse genotypes for 4 growth indices and 5 drought-tolerance indices, which revealed abundant variation among genotypes, upon drought stress, and for genotype × treatment effects. We also used 158,327 SNP markers, and performed GWAS for the drought-related traits. Our data met the conditions (PCA + K) for using a mixed linear model in TASSEL, and we thusly identified 26 SNPs associated with drought tolerance indices for germination stage soybean plants. These were distributed across 10 soybean chromosomes, and these explain 5.19–9.66% of the observed phenotypic variation. Nine SNP sites, including for example Gm20_34956219 and Gm20_34956219, were associated with two or more phenotypic indices, and there were nine SNP markers located in or adjacent to (within 500 kb) previously reported drought tolerance QTLs. These SNP led to our identification of 41 candidate genes related to drought tolerance in the germination stage. Conclusion The results of our study contribute to a deeper understanding of the genetic mechanisms underlying drought tolerance in soybeans at the germination stage, thereby providing a molecular basis for identifying useful soybean germplasm for breeding new drought-tolerant varieties.


2018 ◽  
Vol 2 (2) ◽  
pp. 37-40 ◽  
Author(s):  
SHERLY LAPUIMAKUNI ◽  
NURUL KHUMAIDA ◽  
SINTHO WAHYUNING ARDIE ◽  
SINTHO WAHYUNING ARDIE

Lapuimakuni S, Khumaida N, Ardie SW. 2018. Evaluation of drought tolerance indices for genotype selection of foxtail millet (Setaria italica). Trop Drylands 2: 37-40. Foxtail millet (Setaria italica (L.) Beauv) is one of underutilized crop grown for its nutritious grain and its relative tolerance to drought stress. Although foxtail millet has been reported as to be relatively tolerant to drought stress, the drought tolerance level of this crop is varied between genotypes. Thus, breeding approaches to develop drought-tolerant foxtail millet variety is of great importance. This study aimed to: (i) evaluate several drought tolerance indices to determine one or more predictors among studied indices, and (ii) identify the drought tolerance level of the evaluated foxtail millet genotypes. Eight foxtail millet genotypes were planted in a greenhouse with a completely randomized design and five replications under both drought and normal watering conditions. Staggered planting was applied to synchronize flowering time. Water was withheld for 15 days during the flowering period, and then plants were re-watered until harvest time. Multiple indices for drought tolerance were calculated based on the potential yield (Yp) under non-stress and yield (Ys) under stress conditions. Based on the correlation, principal component analysis, and cluster analysis, yield index (YI) and harmonic mean (HM) were considered the best indices for the selection of drought-tolerant foxtail millet genotypes. By using the best indices, two foxtail millet genotypes (ICERI-5 and ICERI-6) were considered as drought tolerant genotypes.


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