“…To accurately examine phenotypic traits produced by highly computational modelling of multidimensional data and to offer a more thorough knowledge of the complex mechanisms under salt stress, a combination of analyses must be used (Singh & Sastry 2011; Sanwal et al, 2022). To preserve as much information as possible, PCA, for example, lowers the number of variables in a data collection and uses an orthogonal transformation to turn a set of observations of potentially correlated variables into a set of values of uncorrelated variables (Kumawat et al, 2021; Sabouri et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The effectiveness of multivariate analysis and selection by CSI was examined as well as the outcomes of both analyses. Different stress indices, correlation analysis, and multivariate analysis of variance are examples of screening techniques with their advanced forms that may be used as a combined method of screening tests and for identifying sources of variation (Kumawat et al, 2021; Sabouri et al, 2022). The main objectives of this research were: (1) to create a screening procedure to know the effect of salt stress on morpho‐physio and seed quality traits, (2) to create a procedure for selection of best indices to pinout the salt tolerant lines based on association study, (3) to assess 250 RILs for multivariate analysis based on 54 STI, (4) to exploit a new index: CSI and compare its results with PCA for final screening of RILs mapping population to select salt tolerate RILs.…”
Section: Introductionmentioning
confidence: 99%
“…Different stress indices, correlation analysis, and multivariate analysis of variance are examples of screening techniques with their advanced forms that may be used as a combined method of screening tests and for identifying sources of variation (Kumawat et al, 2021;Sabouri et al, 2022). The main objectives of this research were: (1) to create a screening procedure to know the effect of salt stress on morpho-physio and seed quality traits,…”
The current scanty knowledge about the salt tolerance mechanism underlying the ability of plants to tolerate salt stress hinders the potential production of numerous crops, including Indian mustard. To explore the traits and mechanism for salt tolerance, high throughput phenotyping of 250 stabilized F7:8 recombinant inbred lines (RILs) mapping population of Indian mustard were conducted under control and salinity (ECiw 12 dS m−1) for 54 morpho‐physio‐seed‐quality traits. Most of the traits were reduced with variable percentages under salt stress. The stress tolerance index (STI) of YPP showed a significant negative association with Na+ concentration of root (RNa), indicating that RILs with low Na+ concentration have high seed yield and a positive significant association with STI of yield‐related traits, photosynthesis rate (Pn), intrinsic water use efficiency (inWUE), fresh weight of upper leaf (USFW), fresh weight of branches (BrFW), fresh weight of basal leaf (BLFW), and fresh weight of middle leaf (MLFW) revealed that by improving these traits seed yield per plant (YPP) was improved. Based on principal component analysis (PCA) of 54 STI and new index composite selection index (CSI), RILs viz., R114, R150, R164, R170, and R206 were identified as stable performers which can be exploited for quantitative trait loci (QTLs)/gene discovery and serve as potential donors to combat salt stress. Our research will serve to determine the relative importance of different functional traits of salt tolerance mechanisms that can be used to screen colossal germplasm.
“…To accurately examine phenotypic traits produced by highly computational modelling of multidimensional data and to offer a more thorough knowledge of the complex mechanisms under salt stress, a combination of analyses must be used (Singh & Sastry 2011; Sanwal et al, 2022). To preserve as much information as possible, PCA, for example, lowers the number of variables in a data collection and uses an orthogonal transformation to turn a set of observations of potentially correlated variables into a set of values of uncorrelated variables (Kumawat et al, 2021; Sabouri et al, 2022).…”
Section: Introductionmentioning
confidence: 99%
“…The effectiveness of multivariate analysis and selection by CSI was examined as well as the outcomes of both analyses. Different stress indices, correlation analysis, and multivariate analysis of variance are examples of screening techniques with their advanced forms that may be used as a combined method of screening tests and for identifying sources of variation (Kumawat et al, 2021; Sabouri et al, 2022). The main objectives of this research were: (1) to create a screening procedure to know the effect of salt stress on morpho‐physio and seed quality traits, (2) to create a procedure for selection of best indices to pinout the salt tolerant lines based on association study, (3) to assess 250 RILs for multivariate analysis based on 54 STI, (4) to exploit a new index: CSI and compare its results with PCA for final screening of RILs mapping population to select salt tolerate RILs.…”
Section: Introductionmentioning
confidence: 99%
“…Different stress indices, correlation analysis, and multivariate analysis of variance are examples of screening techniques with their advanced forms that may be used as a combined method of screening tests and for identifying sources of variation (Kumawat et al, 2021;Sabouri et al, 2022). The main objectives of this research were: (1) to create a screening procedure to know the effect of salt stress on morpho-physio and seed quality traits,…”
The current scanty knowledge about the salt tolerance mechanism underlying the ability of plants to tolerate salt stress hinders the potential production of numerous crops, including Indian mustard. To explore the traits and mechanism for salt tolerance, high throughput phenotyping of 250 stabilized F7:8 recombinant inbred lines (RILs) mapping population of Indian mustard were conducted under control and salinity (ECiw 12 dS m−1) for 54 morpho‐physio‐seed‐quality traits. Most of the traits were reduced with variable percentages under salt stress. The stress tolerance index (STI) of YPP showed a significant negative association with Na+ concentration of root (RNa), indicating that RILs with low Na+ concentration have high seed yield and a positive significant association with STI of yield‐related traits, photosynthesis rate (Pn), intrinsic water use efficiency (inWUE), fresh weight of upper leaf (USFW), fresh weight of branches (BrFW), fresh weight of basal leaf (BLFW), and fresh weight of middle leaf (MLFW) revealed that by improving these traits seed yield per plant (YPP) was improved. Based on principal component analysis (PCA) of 54 STI and new index composite selection index (CSI), RILs viz., R114, R150, R164, R170, and R206 were identified as stable performers which can be exploited for quantitative trait loci (QTLs)/gene discovery and serve as potential donors to combat salt stress. Our research will serve to determine the relative importance of different functional traits of salt tolerance mechanisms that can be used to screen colossal germplasm.
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