The invention discloses a peanut quality character
selective breeding method based on whole
genome SNP and application, and relates to the technical field of
crop breeding, the method comprises the specific steps of
data acquisition, SNP optimization and marker screening, model construction and new strain breeding; by integrating whole
genome re-sequencing, SNP optimization marker screening and mixed
deep learning model construction, peanut quality character prediction and breeding value evaluation are achieved, through whole
genome re-sequencing and
quality control processes, an SNP variation map is obtained, ten key quality characters including
protein,
oil content,
oleic acid and the like are covered, and the breeding value of peanuts is evaluated. According to the method, comprehensive genetic information is provided for subsequent analysis, a feature marker set is formed by screening out sites in the SNP optimization and marker screening link, interference of low-quality sites is avoided, a whole genome selection model is obtained by adjusting and training a mixed
deep learning model and optimizing hyper-parameters through ten-fold
cross validation, the breeding period is shortened, and the breeding efficiency is improved. And the prediction error rate is reduced.