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.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 BMC+Plant+Biol
2025 ; 25
(1
): 1448
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Multivariate screening of upland cotton genotypes reveals key traits for salt
tolerance at the seedling stage
#MMPMID41131482
Anwar Z
; Ditta A
; Riaz Khan MK
BMC Plant Biol
2025[Oct]; 25
(1
): 1448
PMID41131482
show ga
BACKGROUND: Soil salinity poses a serious threat to cotton production worldwide
by impairing growth, yield, and fiber quality. Salt stress disrupts key
morphological, physiological, and biochemical processes in cotton plants, leading
to considerable reductions in productivity. Therefore, identifying salt-tolerant
cotton genotypes is essential for improving crop performance in saline
environments. METHODS: In this study, fifty-one cotton genotypes were evaluated
for their response to salinity stress at the seedling stage. Plants were grown in
hydroponic culture under controlled glasshouse conditions and subjected to 200 mM
NaCl to simulate salt stress. The experiment followed a completely randomized
design (CRD) with three replications, and data were analyzed using two-way
analysis of variance (ANOVA) and multivariate approaches, including principal
component analysis (PCA), heatmap analysis, and the multi-trait genotype-ideotype
distance index (MGIDI). RESULTS: ANOVA showed significant variation among
genotypes for all traits. Salt stress caused significant reductions in growth
traits, including shoot and root length, fresh and dry biomass, water relation
traits, gaseous exchange traits and photosynthetic pigments. In contrast, excised
leaf water loss (ELWL), sodium (Na(+) )accumulation in roots and shoots,
oxidative stress markers like hydrogen peroxide (H?O?) and malondialdehyde (MDA),
osmolytes including proline, glycine betaine (GB), and saponin, and antioxidant
enzyme activities like superoxide dismutase (SOD), peroxidase (POD), catalase
(CAT) increased, while potassium contents (K(+)) and sodium to potassium ratio
(K?/Na(+)) decreased. Under control conditions, PCA showed little variation,
whereas under salt stress, it explained 64.8% of the variance and separated
growth- from stress-related traits. Heatmap analysis confirmed these patterns and
grouped genotypes into three clusters based on ion homeostasis and oxidative
stress traits. MGIDI index integrated all traits into a single score and
identified superior genotypes like G2 (NIAB-868), G22 (NIA-Noori), G32 (FH-530),
G3 (NIAB-878-B), G49 (FH-911), G28 (FH-416), G33 (FH-534), and G39 (FH-546).
CONCLUSION: These findings suggest that multivariate and multi-trait screening at
the seedling stage is a useful method for identifying cotton germplasm with salt
tolerance, providing a foundation for breeding programs and further field
evaluation that may contribute to stable yields under saline conditions.