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Paspalum dilatatum is an excellent warm‐season forage grass and soil conservation plant in subtropical regions. However, information on P. dilatatum cultivation in southwestern China is limited. A preliminary evaluation of the genetic diversity and adaptability of six P. dilatatum germplasms was conducted in Guizhou based on inter simple sequence repeat (ISSR) markers and field trials. Fifteen polymorphic primers were screened from 50 ISSR primers. A total of 141 bands were generated, 124 of which were polymorphic, yielding 88.63% polymorphic bands. The number of polymorphic loci detected for the different germplasms ranged from 23 to 61, and the percentage of polymorphic loci was 40.67%. The mean number of alleles was 1.23, and the effective allele number was 1.15. Nei's genetic diversity index was 0.08. The Shannon information index was 0.12, and the genetic similarity coefficient (GSC) ranged from 0.6002 to 0.8955, indicating a relatively rich genetic base among the germplasms. The unweighted pair group method with arithmetic mean approach was used to construct the clustering map. Using a GSC of 0.83 as the threshold value, the six germplasm materials were divided into four clusters, indicating that ISSR molecular markers can be effectively applied to analyze the genetic diversity of P. dilatatum germplasms. Cluster analysis of 12 growth characteristics of the germplasms of P. dilatatum showed that germplasm 4 exhibited strong tillering ability and a high crude protein content. Germplasm 3 showed high plant height, fresh yield and hay yield. Germplasm 1 showed the lowest forage yield and crude protein content. Germplasms 2, 5 and 6 showed excellent crude protein and crude fat contents; the remaining indicators showed intermediate performance. This study provides important references for the utilization and variety selection of introduced P. dilatatum resources in the karst areas of Guizhou. [ABSTRACT FROM AUTHOR]

The accurate identification of forest tree species is the basis for the utilization and protection of forest resources. In this study, we collected hyperspectral data on 3287 leaves from seven typical tree species in the Caohai Nature Reserve and Huaxi District, Guizhou Province, China. The Savitzky–Golay smoothing, baseline, normalize, standardized normal variable, and moving average methods were used to preprocess the original spectral reference after removing the abnormal values, and then the dimension was reduced by principal component analysis. Finally, the reduced data were classified by support vector machine with the linear, polynomial, radial basis function, and Sigmoid kernel functions. The results show the following: (1) the principal component analysis + support vector machine method is feasible for tree species identification, however, the recognition results of different preprocessing methods, different combinations of principal components, and different support vector machine classification methods are quite different; (2) the best combination is 20 principal components + the normalize + linear support vector machine model, achieving a classification overall accuracy of 98.97%. [ABSTRACT FROM AUTHOR]

In this study, the complete mitochondrial genome of Ia io from Guizhou Province, China. The genome was a circular mitochondrial genome of 16689 bp in length, containing 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNA), 2 ribosomal RNA genes (rRNA), and a control region. The average base composition is 32.76% A, 24.59% C, 14.49% G, and 28.16% T. The first complete mitochondrial genome of I. io provides fundamental data for future systematic taxonomic studies of the genus Ia. [ABSTRACT FROM AUTHOR]

The article presents information about the discovery of new records of Rhizoglyphus robini and Bradysia odoriphaga infesting Allium tuberosum in Guizhou Province, China. It discusses that Allium tuberosum as an important vegetable crop and widely cultivated across China used in traditional medicine for treating nocturnal emissions, sexual dysfunction, and diarrhea.