The present application relates to the field of transcriptomics, and specifically discloses a method for identifying
plant salt-tolerant
germplasm resources by using multi-tissue
transcriptome sequencing, comprising the following steps: S1, salt-tolerance evaluation and grade division: placing the
plant germplasm to be tested under a suitable concentration of salt
stress conditions for
seedling culture, measuring its morphological indicators and physiological and biochemical indicators, calculating the salt-tolerance coefficients of each indicator, and using
multivariate statistical analysis methods to comprehensively evaluate and grade the salt-tolerance of the
germplasm; the present application first constructs a standardized salt-tolerance identification process from the laboratory to field application, uses gradient
salt solution to simulate the
natural stress environment, measures multi-dimensional indicators such as growth morphology, photosynthetic
physiology and
antioxidant system at the key growth stages, and uses statistical methods such as salt-tolerance coefficient,
membership function and
principal component analysis for comprehensive evaluation and grade division, thereby realizing systematic, rapid and accurate identification of the salt-tolerance of a large number of corn inbred lines.