Time filter

Source Type

Du X.,Zhejiang Agriculture And forestry University | Zhang X.,Zhejiang Agriculture And forestry University | Lu G.,Zhejiang Agriculture And forestry University | Lu G.,The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province
Journal of the Chinese Cereals and Oils Association | Year: 2014

In the paper, a new method to recognize easily sweet potato species and robustly the cross-cutting images of tubers has been proposed based on colors and texture features. First, color histogram, Gray Level Co-occurrence Matrix and Gabor filter have been utilized to extract the five color and texture features from tuber image. Second, the feature vector was combined together compatibly. Finally, BP artificial neural network was used to train and classify the tubers samples based on this mixed feature vector of image. The experimental results show that the proposed method can recognize the species of sweet potatoes accurately; the average successful recognition rate is 90%. ©, 2014, Editorial Department, Chinese Cereals and Oils Association. All right reserved.

Ding M.,Zhejiang Agriculture And forestry University | Ding M.,The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province | Jiang Y.,Zhejiang Agriculture And forestry University | Jiang Y.,The Key Laboratory for Quality Improvement of Agricultural Products of Zhejiang Province | And 9 more authors.
Gene | Year: 2014

Ligon lintless-1 (Li1) is a monogenic dominant mutant of Gossypium hirsutum (upland cotton) with a phenotype of impaired vegetative growth and short lint fibers. Despite years of research involving genetic mapping and gene expression profile analysis of Li1 mutant ovule tissues, the gene remains uncloned and the underlying pathway of cotton fiber elongation is still unclear. In this study, we report the whole genome-level deep-sequencing analysis of leaf tissues of the Li1 mutant. Differentially expressed genes in leaf tissues of mutant versus wild-type (WT) plants are identified, and the underlying pathways and potential genes that control leaf and fiber development are inferred. The results show that transcription factors AS2, YABBY5, and KANDI-like are significantly differentially expressed in mutant tissues compared with WT ones. Interestingly, several fiber development-related genes are found in the downregulated gene list of the mutant leaf transcriptome. These genes include heat shock protein family, cytoskeleton arrangement, cell wall synthesis, energy, H2O2 metabolism-related genes, and WRKY transcription factors. This finding suggests that the genes are involved in leaf morphology determination and fiber elongation. The expression data are also compared with the previously published microarray data of Li1 ovule tissues. Comparative analysis of the ovule transcriptomes of Li1 and WT reveals that a number of pathways important for fiber elongation are enriched in the downregulated gene list at different fiber development stages (0, 6, 9, 12, 15, 18dpa). Differentially expressed genes identified in both leaf and fiber samples are aligned with cotton whole genome sequences and combined with the genetic fine mapping results to identify a list of candidate genes for Li1. © 2013 Elsevier B.V.

Discover hidden collaborations