Genetic Parameters and Stress Tolerance Index for Quantitative Traits in Barley under Different Drought Stress Severities

El-Hashash, E. F.; Agwa, A. M.

doi:10.9734/ajrcs/2018/38702

Cited by 12 publications

(15 citation statements)

References 17 publications

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“…Greater differences between genotypic and experimental variances gave evidence that these traits were greatly influenced by the environment under drought stress. These results are in agreement with those obtained by El-Hashash and Agwa [35] in barley. Blum [7] reported the reduction in genetic variance under severe stress condition.…”

Section: Genetic Parameterssupporting

confidence: 93%

“…From previously results, the values of the relative coefficient of variation (RCV= GCV%/ECV%) were higher than the unity for all studied traits during normal and drought conditions. The highest values of RCV (RCV >1) indicate that environmental variation among the genotypes was lower than the genetic variation from the average during drought stress conditions for the all studied traits as noticed by El-Hashash and Agwa [35] in barley. From these results, the differences between genotypic values may increase or decrease from one environment to another which might cause genotypes to even rank differently between environments.…”

Section: Genetic Parametersmentioning

confidence: 78%

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Genetic Parameters, Multivariate Analysis and Tolerance Indices of Rice Genotypes under Normal and Drought Stress Environments

El-Hashash

El-Agoury

El-Absy

et al. 2018

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In order to evaluate genetic parameters and drought tolerance indices using multivariate analysis, seventeen genotypes of rice were evaluated under normal and drought conditions. The combined analysis of variance indicated highly significant effects of genotype on all studied traits under normal and drought conditions. Most studied genotypes were better than the grand mean during normal and drought conditions. Drought stress reduced the studied traits while other was tolerant to drought, suggesting genetic variability in these genotypes for drought tolerance. The environmental and genetic variances and heritability showed highly significant for all studied traits under normal and drought conditions. The maximum values of genetic variance were found for all studied traits followed by the environmental and genotypes × season variances at normal and drought conditions. High heritability coupled with high genetic advance as percent of the mean was observed for most studied traits under normal and drought conditions. The differences between phenotypic coefficients of variation (PCV%) were higher than the values of genotypic coefficients of variation (GCV%) for all

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Section: Genetic Parameterssupporting

confidence: 93%

Section: Genetic Parametersmentioning

confidence: 78%

Genetic Parameters, Multivariate Analysis and Tolerance Indices of Rice Genotypes under Normal and Drought Stress Environments

El-Hashash

El-Agoury

El-Absy

et al. 2018

AJRCS

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“…The results obtained by principal component analysis confirmed the results obtained from drought-tolerance indices and correlation-based ranking of genotypes. El-Hashash and Agwa (2018) reported similar results.…”

Section: Discussionsupporting

confidence: 63%

“…It is established through many studies, e.g., Fischer and Maurer (1978) and Fernandez (1992) , as the pioneer, and more recently, El-Hashash and Agwa (2018) that drought tolerance indices are the best criteria for the selection of discriminating, high-yielding drought-tolerant genotypes.…”

Section: Discussionmentioning

confidence: 99%

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

et al. 2021

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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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“…These results were similar to the findings of other researchers (Arshadi et al ., 2018; Mahalingam and Bregitzer, 2019). Usually, water deficit stress reduces chlorophyll synthesis (Zhao et al ., 2007), photosynthesis rate (Zandalinas et al ., 2018), leaf area index (El-Hashash and Agwa, 2018), plant height and biomass (Kilic and Yagbasanlar, 2010), the number of grains in spike and GY (Guttieri et al ., 2001) and the increase of photo-respiratory losses (Mittler, 2006; Mir et al ., 2012), the amount of Pro (Bajji et al ., 2002), and TSC (Farouk and Al-Sanoussi, 2019). Pro is one of the plants compounds accumulated in the plants under stress, protecting the plant against stress damage by inhibiting free radicals reactive oxygen species (Liang et al ., 2013).…”

Section: Discussionmentioning

confidence: 99%

The combined effect of nitrogen fertilizer and sowing season on response to water-limited stress in barley (Hordeum vulgareL.)

et al. 2021

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A field experiment was carried out for over two seasons (autumn and spring) as a split–split plot scheme based on a randomized complete block design with three replications. The main plots included two irrigation levels of the maximum available water depletion (maximum allowable depletion (MAD)) of 55 and 85% as non-stress and drought-stress environments, respectively, and the subplot accommodated two levels of nitrogen (0 and 62.5 kg N/ha, urea fertilizer); also, 20 barley genotypes were assigned to the sub-subplots. The biplot analysis of both sowing seasons showed that grain yield (GY) had a high positive correlation with total biomass (TB), whereas it had a high negative correlation with proline and total soluble carbohydrate as drought-tolerance-determinant characteristics. The genotypes which had the lowest and highest GY ranked significantly (P ≤ 0.01) different with changing the sowing season under each irrigation level, indicating a larger plant interaction and non-stability in response to the season change (about two-fold), as compared to the change in the irrigation conditions. It could also be concluded that barley genotypes might experience a higher decrease in GY and sensitivity to water deficit in the autumn sowing season, as compared to the spring planting season, which was also intensified by nitrogen application. However, the response to nitrogen application depends on the plant genotype.

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Genetic Parameters and Stress Tolerance Index for Quantitative Traits in Barley under Different Drought Stress Severities

Cited by 12 publications

References 17 publications

Genetic Parameters, Multivariate Analysis and Tolerance Indices of Rice Genotypes under Normal and Drought Stress Environments

Genetic Parameters, Multivariate Analysis and Tolerance Indices of Rice Genotypes under Normal and Drought Stress Environments

A Comparative Study for Assessing the Drought-Tolerance of Chickpea Under Varying Natural Growth Environments

The combined effect of nitrogen fertilizer and sowing season on response to water-limited stress in barley (Hordeum vulgareL.)

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