Abstract

The present disclosure provides a method for site-directed mutagenesis (SDM) of a BnHBBD gene of Brassica napus L., and a use, and belongs to the technical field of plant gene editing and plant breeding. In the present disclosure, Targetl and Target? are designed and screened for a BnHBBD gene in Brassica napus L., gRNA sequences are designed, and then the Targetl and the Target? are ligated with two identical gRNA sequences respectively to construct a dual-target gene-editing vector pKSE401-BnHBBD-CRISPR', and the dual-target gene-editing vector is transformed into Brassica napus L. to allow SDM of the BnHBBD gene of the Brassica napus L. to obtain a transgenic plant with a long flowering stage, Sclerotinia sclerotiorum resistance, and a silique that is not easy to crack.

IPC Classes  ?

• C07K 14/415 - Peptides having more than 20 amino acids; Gastrins; Somatostatins; Melanotropins; Derivatives thereof from plants
• C12N 15/113 - Non-coding nucleic acids modulating the expression of genes, e.g. antisense oligonucleotides
• C12N 1/21 - Bacteria; Culture media therefor modified by introduction of foreign genetic material
• C12N 9/22 - Ribonucleases
• C12N 15/29 - Genes encoding plant proteins, e.g. thaumatin
• C12N 15/55 - Hydrolases (3)
• C12N 15/82 - Vectors or expression systems specially adapted for eukaryotic hosts for plant cells

Abstract

The present invention belongs to the field of machine vision. A saliency-based method for extracting a road target from a night vision infrared image is disclosed. The specific steps of the present invention are: performing a coarse extraction of a salient region from a night vision infrared image by using a GBVS model; performing a re-extraction of the salient region by using a method of spectrum scale space based on the hypercomplex number frequency domain, and on the basis of a global feature; and performing a fusion of global and local cues with respect to a salient image ZZ to obtain a final salient image by using a saliency extraction method based on the fusion of the global and local cues. The method combines saliencies of the time domain and the frequency domain, global contrast and local contrast, and low level features and high level features, and energy radiation is also considered to be a saliency factor; thus, the object of processing is an infrared image and not the usual natural image. The extraction of a salient region is performed on the raw natural image on the basis of energy radiation, and the obtained extraction result of the salient region is more accurate and thorough, and the contour of a target in the salient region is clearer.

IPC Classes  ?

• G06T 7/00 - Image analysis