The invention discloses a
macrobrachium rosenbergii
cherax ratio prediction and breeding method based on phenotypic
omics analysis, which comprises the following steps: selecting a plurality of
macrobrachium rosenbergii for multi-generation breeding, recording pedigree data of each individual, and constructing a
macrobrachium rosenbergii breeding
database; the method comprises the following steps: extracting phenotypic characteristics of macrobrachium at different culture stages, analyzing a rule between a growth index and a chelate ratio, carrying out
heritability evaluation, and constructing a macrobrachium phenotypic
omics network; the growth path of
macrobrachium rosenbergii is analyzed, abnormal events in the breeding period are recognized, and a
macrobrachium rosenbergii growth situation network is generated; constructing a macrobrachium
phenotype knowledge map, and constructing a macrobrachium
cherax ratio prediction model; and performing
data acquisition on a
macrobrachium rosenbergii population to be bred to obtain early phenotypic data, performing breeding decision, and performing breeding path recommendation on bred individuals by using the macrobrachium rosenbergii phenotypic
knowledge graph. Meanwhile, whether the breeding path is deviated or not in the breeding process is analyzed, and a correction scheme is formulated for pushing, so that the breeding period of the macrobrachium is shortened, and the breeding accuracy and efficiency are improved.