As an important oil crop, rapeseed contributes to the food security of the world. In recent years, agronomists have cultivated many new varieties, which has increased human nutritional needs. Variety recognition is of great importance for yield improvement and quality breeding. In view of the low efficiency and damage of traditional methods, in this paper, we develop a noninvasive model for the recognition of rapeseed varieties based on hyperspectral feature fusion. Three types of hyperspectral image features, namely, the multifractal feature, color characteristics, and trilateral parameters, are fused together to identify 11 rapeseed species. An optimal feature is selected using a simple rule, and then the three kinds of features are fused. The support vector machine kernel method is employed as a classifier. The average recognition rate reaches 96.35% and 93.71% for distinguishing two species and 11 species, respectively. The abundance test model demonstrates that our model possesses robustness. The high recognition rate is almost independent of the number of modeling samples and classifiers. This result can provide some practical experience and method guidance for the rapid recognition of rapeseed varieties.

The tuberous roots of Potentilla anserina (Pan) are an edible and medicinal resource in Qinghai–Tibetan Plateau, China. The triterpenoids from tuberous roots have shown promising anti-cancer, hepatoprotective, and anti-inflammatory properties. In this study, we carried out phylogenetic analysis of squalene synthases (SQSs), squalene epoxidases (SQEs), and oxidosqualene cyclases (OSCs) in the pathway of triterpenes. In total, 6, 26, and 20 genes of SQSs, SQEs, and OSCs were retrieved from the genome of Pan, respectively. Moreover, 6 SQSs and 25 SQEs genes expressed in two sub-genomes (A and B) of Pan. SQSs were not expanded after whole-genome duplication (WGD), and the duplicated genes were detected in SQEs. Twenty OSCs were divided into two clades of cycloartenol synthases (CASs) and β-amyrin synthases (β-ASs) by a phylogenetic tree, characterized with gene duplication and evolutionary divergence. We speculated that β-ASs and CASs may participate in triterpenes synthesis. The data presented act as valuable references for future studies on the triterpene synthetic pathway of Pan.

Chinese rose (Rosa chinensis) is an important ornamental plant, with economic, cultural, and symbolic significance. During the application of outdoor greening, adverse environments such as high temperature and drought are often encountered, which affect its application scope and ornamental quality. The starch phosphorylase (Pho) gene family participate in the synthesis and decomposition of starch, not only related to plant energy metabolism, but also plays an important role in plant stress resistance. The role of Pho in combating salinity and high temperature stress in R. chinensis remains unknown. In this work, 4 Phos from R. chinensis were detected with Pfam number of Pho (PF00343.23) and predicted by homolog-based prediction (HBP). The Phos are characterized by sequence lengths of 821 to 997 bp, and the proteins are predicted to subcellularly located in the plastid and cytoplasm. The regulatory regions of the Phos contain abundant stress and phytohormone-responsive cis-acting elements. Based on transcriptome analysis, the Phos were found to respond to abiotic stress factors such as drought, salinity, high temperature, and plant phytohormone of jasmonic acid and salicylic acid. The response of Phos to abiotic stress factors such as salinity and high temperature was confirmed by qRT-PCR analysis. To evaluate the genetic characteristics of Phos, a total of 69 Phos from 17 species were analyzed and then classified into 3 groups in phylogenetic tree. The collinearity analysis of Phos in R. chinensis and other species was conducted for the first time. This work provides a view of evolution for the Pho gene family and indicates that Phos play an important role in abiotic stress response of R. chinensis.