Inicio  /  Forests  /  Vol: 7 Núm: 12 Par: Decembe (2016)  /  Artículo
ARTÍCULO
TITULO

Identification and Target Prediction of MicroRNAs in Ulmus pumila L. Seedling Roots under Salt Stress by High-Throughput Sequencing

Jianfeng Zhu    
Xiuyan Yang    
Zhengxiang Liu and Huaxin Zhang    

Resumen

s-

 Artículos similares

       
 
Xinle Zhang, Jian Cui, Huanjun Liu, Yongqi Han, Hongfu Ai, Chang Dong, Jiaru Zhang and Yunxiang Chu    
Soybean in the field has a wide range of intermixed weed species and a complex distribution status, and the weed identification rate of traditional methods is low. Therefore, a weed identification method is proposed based on the optimized Faster R-CNN al... ver más
Revista: Agriculture

 
Giusy D?Attoma, Angelantonio Minafra, Pasquale Saldarelli and Massimiliano Morelli    
Wisteria vein mosaic virus (WVMV) is a member of the genus Potyvirus, found to be associated with the Wisteria mosaic disease (WMD). In 2022, severe symptoms resembling WMD were observed on the foliage of a Chinese wisteria (Wisteria sinensis) tree growi... ver más
Revista: Agriculture

 
Zijia Yang, Hailin Feng, Yaoping Ruan and Xiang Weng    
Timely and accurate identification of tea tree pests is critical for effective tea tree pest control. We collected image data sets of eight common tea tree pests to accurately represent the true appearance of various aspects of tea tree pests. The datase... ver más
Revista: Agriculture

 
Chengqian Li, Jianguo Wu, Xiaoyong Pan, Hanjie Dou, Xueguan Zhao, Yuanyuan Gao, Shuo Yang and Changyuan Zhai    
Repeated and missed spraying are common problems during the working of boom sprayers, especially in the breakpoint continuous process. Therefore, the present study investigated a breakpoint continuous spraying system for automatic-guidance boom sprayers ... ver más
Revista: Agriculture

 
Jizhong Deng, Chang Yang, Kanghua Huang, Luocheng Lei, Jiahang Ye, Wen Zeng, Jianling Zhang, Yubin Lan and Yali Zhang    
The realization that mobile phones can detect rice diseases and insect pests not only solves the problems of low efficiency and poor accuracy from manually detection and reporting, but it also helps farmers detect and control them in the field in a timel... ver más
Revista: Agronomy