Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties

Quevedo, Yeison Mauricio; Moreno, Liz Patricia; Barragán, E.

doi:10.1016/s2095-3119(20)63596-1

Cited by 20 publications

(13 citation statements)

References 42 publications

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“…Based on our results, The STI, MP, GMP, HM, ATI, SSPI, and TOL indices are the best indicators for identifying drought-tolerant genotypes. These previous results have been reported in several studies on cotton, such as Yehia (2020), Ghodrat and Bahran (2022) and Quevedo et al (2022). Also, the genotypes G4, G9, and G10 were found to be more tolerant under drought stress, and poor climatic conditions and have the potential to increase the sustainable productivity of cotton in Egypt.…”

Section: Discussionsupporting

confidence: 83%

Response of cotton genotypes to water-deficit stress using drought tolerance indices and principal component analysis

Yehia

El-Hashash

2022

Preprint

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Background Drought impacts on cotton cultivation and production are expected to worsen as a result of global warming and water-deficit stress. Drought tolerance indices and PCA analysis were used to evaluate drought stress responses in eleven cotton genotypes and fifteen indices' ability to identify drought-tolerant genotypes under normal and drought circumstances. Results Seed cotton yield (Kentar/Feddan) was significantly affected by genotypes, years, and their interaction (p ≤ 0.05 or 0.01) under normal and water-deficit stress conditions, according to the combined ANOVA. Except for error variance, all genetic parameters studied for seed cotton yield were higher under normal irrigation conditions than under water-deficit stress conditions. According to PCA analysis, The STI, MP, GMP, HM, ATI, SSPI, and TOL are suitable indicators and were similar in their ability to screen, rank, and detect tolerant genotypes, due to positive correlations among each other and also the highest association with seed cotton yield in both irrigation conditions. The genotypes G4, G9, and G10 (Group A) seemed to be the most drought-tolerant and cotton productive based on mean performance, GxY heatmap analysis, drought tolerance indices, and PCA analysis. Conclusions The results of our study, drought tolerance indices and PCA could be useful and appropriate for studying drought tolerance mechanisms and cotton yield improvement in Egypt.

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Section: Discussionsupporting

confidence: 83%

Response of cotton genotypes to water-deficit stress using drought tolerance indices and principal component analysis

Yehia

El-Hashash

2022

Preprint

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“…Based on our results, The STI, MP, GMP, HM, ATI, SSPI, and TOL indices are the best indicators for identifying drought-tolerant genotypes. These previous results have been reported in several studies on cotton, such as Yehia [34], Ghodrat and Bahran [17] and Quevedo et al [41]. Also, the genotypes G4, G9, and G10 were found to be more tolerant under drought stress, and poor climatic conditions and have the potential to increase the sustainable productivity of cotton in Egypt.…”

Section: Discussionsupporting

confidence: 82%

“…In general, the indices of MP, GMP, STI, YI, and HM were highly positively correlated with seed cotton yield in both Yp and Ys, indicating that they rank genotypes in a similar fashion in these indices and that selection based on these indices will result in increased seed cotton yield in both conditions. Earlier studies on cotton found similar positive associations among drought tolerance indices (for example, [40,34,17,41]).…”

Section: Discussionsupporting

confidence: 57%

Response of Cotton Genotypes to Water-deficit Stress using Drought Tolerance Indices and Principal Component Analysis

Yehia¹,

El-Absy

2023

AJAAR

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Drought impacts on cotton cultivation and production are expected to worsen as a result of global warming and water-deficit stress. Drought tolerance indices and PCA analysis were used to evaluate drought stress responses in eleven cotton genotypes and fifteen indices' ability to identify drought-tolerant genotypes under normal and drought circumstances. Seed cotton yield (Kentar feddan-1) was significantly affected by genotypes, years, and their interaction (p ≤ 0.05 or 0.01) under normal and water-deficit stress conditions, according to a combined ANOVA. Except for error variance, all genetic parameters studied for seed cotton yield were higher in normal irrigation conditions than in water-deficit stress conditions. According to PCA analysis, The STI, MP, GMP, HM, ATI, SSPI, and TOL are suitable indicators and were similar in their ability to screen, rank and detect tolerant genotypes, due to positive correlations among each other and also the highest association with seed cotton yield in both irrigation conditions. The genotypes G4, G9, and G10 (Group A) seemed to be the most drought-tolerant and cotton productive based on mean performance, GxY heatmap analysis, drought tolerance indices, and PCA analysis. The results of our study's drought tolerance indices and PCA could be useful and appropriate for studying drought tolerance mechanisms and cotton yield improvement in Egypt.

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“…On account of that, a multivariate analysis method is necessary to be applied to evaluate the resistance of crops’ comprehensive character indicators. Scientists have jointed the application of two or more multivariate analysis methods such as comprehensive drought-resistance coefficient, correlation, multiple linear regression analysis (Quevedo et al, 2022), principal component analysis (PCA, Wijewardana et al, 2016; Füzy et al, 2019), membership function value, comprehensive evaluation (D) value and cluster analysis to evaluate the resistance of crops (Shahrokhi et al, 2020; Yu et al, 2021). Zou et al (2020) combined PCA, stepwise regression, and D value to screen out proline, SOD, CAT, etc, nine typical indices associated with drought resistance avoiding the one-sidedness of a single index and overlapping of the information.…”

Section: Introductionmentioning

confidence: 99%

Drought and flooding resistances of maize germplasm are compared and evaluated using a multivariate analysis method

Wang¹,

Ahmad²,

Wang³

et al. 2022

Preprint

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Drought and flooding stress alternately and frequently occur in Guangxi, China, and the whole world, which seriously limit maize production. Few studies focus on the different responses and evaluations of maize to drought and flooding stresses. A pot experiment with 40 varieties was conducted under well water, drought and flooding stresses. A multivariate analysis method of principal component analysis, comprehensive evaluation value, correlation analysis, stepwise regression analysis, and cluster analysis was used to evaluate the resistance of maize. Most varieties had stronger drought resistance rather than flooding resistance because of the higher antioxidant enzyme activities, osmotic adjustment substances, less reactive oxygen species, and a greater than 1.0 drought-resistance coefficient. However, there was an increment of reactive oxygen species (especially O2-), ascorbate peroxidase, peroxidase, soluble sugar, and the decrement of superoxide dismutase, catalase, soluble protein, and a lower than 1.0 of flooding-resistance coefficient of most maize varieties in flooding stress compared with well water. The superoxide dismutase, peroxidase, catalase, ascorbate peroxidase, proline, soluble sugar and protein, plant height, leaf area/plant, and stem diameter were screened out to be accurate and representative indicators to evaluate the drought and flooding resistance of maize. The study provides an insight to comprehend the different mechanisms of maize in response to drought and flooding stresses and provides a multivariate analysis method for screening the resistance of maize germplasm which could be valuable for further research and breeding of drought and flooding resistances of maize.

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Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties

Cited by 20 publications

References 42 publications

Response of cotton genotypes to water-deficit stress using drought tolerance indices and principal component analysis

Response of cotton genotypes to water-deficit stress using drought tolerance indices and principal component analysis

Response of Cotton Genotypes to Water-deficit Stress using Drought Tolerance Indices and Principal Component Analysis

Drought and flooding resistances of maize germplasm are compared and evaluated using a multivariate analysis method

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