The invention discloses a corn
pythium stem rot resistance
phenotype accurate identification method based on adaptive
gene mining, and particularly relates to the field of corn
disease resistance identification and
gene mining, and the method comprises the following steps: S1, selecting a corn material to be identified, planting the selected corn material in a
greenhouse, and adopting a unified
seedling culture substrate and cultivation management measures to ensure that the growth state of corn seedlings is consistent; step S2, inoculating a strong
pathogenicity pythium miscanthus or
fusarium graminearum strain on a PDA plate culture medium with the
diameter of 9 mm and containing 20 mL of sterilized
bacteria, carrying out dark culture at 25 DEG C for 5-7 days, and preparing to inoculate when hyphae are fully distributed on the surface of PDA; s3,
phenotype data collection is conducted on the 3th day, the 7th day, the 10th day and the 14th day after
inoculation. According to the method, strict requirements of accurate
gene mining on phenotypic
data stability are met,
disease-resistant gene omission caused by index one-sidedness is avoided, and comprehensiveness and accuracy of adaptive
gene mining are remarkably improved.