Publications by authors named "Qiya Su"
Article Synopsis
- The postharvest rot of kiwifruit, caused by the pathogen Pestalotiopsis microspora, significantly affects kiwifruit quality globally, yet knowledge about its genomic features and pathogenicity is limited.
- The genome of strain KFRD-2 was sequenced and analyzed, revealing it to be around 50.31 Mb in size with 14,423 of its genes closely matching known genes, indicating evolutionary links to other pathogenic fungi.
- Findings highlight KFRD-2's abundance of genes related to plant cell wall degradation and virulence factors, providing critical insights for future research and management strategies concerning kiwifruit rot.
[Recognition of corn seeds based on pattern recognition and near infrared spectroscopy technology].
Guang Pu Xue Yu Guang Pu Fen Xi
June 2012
Pattern recognition technology and data mining methods have become a hot topic in chemometrics. Near infrared (NIR) spectroscopic analysis has been widely used in spectrum signal processing and modeling due to its advantages of quickness, simplicity and nondestructiveness. Based on five different methods of pattern recognition, namely the locally linear embedding (LLE), wavelet transform (WT), principal component analysis (PCA), partial least squares (PLS) and support vector machine (SVM), the pattern recognition system for corn seeds is proposed using NIR technology, and applied to classification of 108 hybrid samples and 178 female samples for corn seeds.
View Article and Find Full Text PDF[Recognition of corn seeds based on pattern recognition and near infrared spectroscopy technology].
Guang Pu Xue Yu Guang Pu Fen Xi
May 2012
Pattern recognition technology and data mining methods have become a hot topic in chemometrics. Near infrared (NIR) spectroscopic analysis has been widely used in spectrum signal processing and modeling since it has advantages of quickness, simplicity and nondestructiveness. Based on five different methods of pattern recognition, namely the locally linear embedding (LLE), wavelet transform (WT), principal component analysis (PCA), partial least squares (PLS) and support vector machine (SVM), the pattern recognition system for corn seeds was proposed using NIR technology, and applied to classification of 108 hybrid samples and 178 female samples for corn seeds.
View Article and Find Full Text PDF