The invention belongs to the field of maize
disease resistance identification and
gene mining, and particularly relates to a maize
fusarium ear rot resistance
phenotype accurate identification method for adaptive
gene mining, which comprises the following steps: S1, setting a resistance
gene positioning identification garden, including a preliminary positioning identification garden and a fine positioning identification garden, selecting a
land parcel which is flat in
terrain, uniform in
fertility, perfect in
irrigation and drainage facilities, free of shading and prone to diseases as an identification nursery; s2, selecting a positioning
population, adopting an F23 character segregation
population and the like as a preliminary positioning identification nursery, and adopting an F3
population, an RIL population, a BC population and an
RNA-SEQ detection material as a fine positioning identification nursery; and S3, performing field
test design of the identification nursery. According to the method, accurate identification of the corn
fusarium ear rot resistance
phenotype is achieved by standardizing identification garden setting, optimizing
inoculation and investigation processes and linking a molecular technology, reliable
phenotype data support is provided for efficient positioning,
cloning and related research of anti-
disease genes, and corn anti-
disease molecular breeding is assisted.