The present application relates to the technical field of
plant breeding, and discloses a method for evaluating the
fertility of a wolfberry parent based on
pollen activity, which comprises establishing a
time sequence of wolfberry
pollen sampling, obtaining
pollen microscopic images at each time point and performing adaptive white balance normalization
processing, identifying effective active individuals based on the saturation characteristics of the HSV
color space of the corrected images and forming a preliminary activity decay sequence, fitting the preliminary activity decay sequence using a constrained Weber model to extract shape parameters, correcting the contribution weight of sub-
active particles using the weight coefficients determined by the shape parameters, generating a final activity decay data sequence, calculating the pollen activity half-life based on the sequence, determining the storage resistance grade by comparing with a preset storage resistance grading standard, and generating an
evaluation result. The present application corrects the evaluation weight through kinetic parameter feedback, eliminates the false positive interference of environmental light and
staining, realizes the quantitative grading of wolfberry pollen storage resistance, and accurately guides the selection and matching of breeding parents.