Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yi-Yang Yu"'
Autor:
Bing-Ye Yang, Ji-Xiao Yang, Gang Wang, Wen-Pan Dong, Pei-Ling Xu, Ying Zheng, Wei Yang, Xie-Feng Yao, Jin-Hua Xu, Jian-Hua Guo, Yu-Ming Luo, Dong-Dong Niu, Yi-Yang Yu, Chun-Hao Jiang
Publikováno v:
Biological Control, Vol 189, Iss , Pp 105447- (2024)
Watermelon Fusarium wilt caused by Fusarium oxysporum f. sp. niveum (FON) is one of the most devastating diseases in watermelon production. Biological control approaches are efficient and environmentally-friendly, thus have aroused broad interest. Ho
Externí odkaz:
https://doaj.org/article/dbd8c1312f5c446d8b79dddb65212ed0
Autor:
Yi-Yang Yu, Fang-Jie Si, Ning Wang, Ting Wang, Yu Jin, Ying Zheng, Wei Yang, Yu-Ming Luo, Dong-Dong Niu, Jian-Hua Guo, Chun-Hao Jiang
Publikováno v:
Molecular Plant-Microbe Interactions, Vol 35, Iss 8, Pp 659-671 (2022)
Bacillus spp. are known for their ability to control plant diseases; however, the mechanism of disease control by Bacillus spp. is still unclear. Previously, bacterial organic acids have been implicated in the process of disease suppression. We extra
Externí odkaz:
https://doaj.org/article/e8cd0cf0a34a4004ba69f5523d61cab5
Autor:
Yi-Yang Yu, Guo-Xia Dou, Xing-Xing Sun, Lin Chen, Ying Zheng, Hong-Mei Xiao, Yun-Peng Wang, Hong-Yang Li, Jian-Hua Guo, Chun-Hao Jiang
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Postharvest strawberry is susceptible to gray mold disease caused by Botrytis cinerea, which seriously damage the storage capacity of fruits. Biological control has been implicated as an effective and safe method to suppress plant disease. The aim of
Externí odkaz:
https://doaj.org/article/de6c8377829d4c21840e87398df64088
Establishment of Classification of Tibial Plateau Fracture Associated with Proximal Fibular Fracture
Publikováno v:
Orthopaedic Surgery, Vol 11, Iss 1, Pp 97-101 (2019)
Objective The purpose of this retrospective study was to determine the incidence of fibular fractures as an associated injury in tibial plateau fractures according to CT scan. We also attempt to introduce a new morphological sub‐classification on t
Externí odkaz:
https://doaj.org/article/05e23b94e7d44ed4bafe321beadb7792
Publikováno v:
Clinical Laboratory; 2024, Vol. 70 Issue 3, p600-604, 5p
Publikováno v:
Molecular Plant Pathology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cacb6a6dd06b93401bb910c5eb6affde
https://doi.org/10.1111/mpp.13329
https://doi.org/10.1111/mpp.13329
Autor:
Yi-Yang Yu, Jing-Da Xu, Mei-Zhen Gao, Tao-Xiang Huang, Ying Zheng, Yi-Yuan Zhang, Yun-Peng Wang, Yu-Ming Luo, Ying Zhang, Yong-Hong Hu, Jian-Hua Guo, Chun-Hao Jiang
Publikováno v:
European Journal of Agronomy. 142:126661
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b132fa19121affc6662fb07d24aff64
https://doi.org/10.1016/j.eja.2022.126661
https://doi.org/10.1016/j.eja.2022.126661
Publikováno v:
Journal of Plant Nutrition and Soil Science. 182:560-569
Application of plant growth‐promoting rhizobacteria (PGPR) has been considered as an environmentally friendly method for crop yield promotion as well as plant disease management. Efforts have been devoted to unraveling mechanisms involved in bacter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56c6578e712264ae59bbaa8230debe01
https://doi.org/10.1002/jpln.201800223
https://doi.org/10.1002/jpln.201800223
Publikováno v:
Journal of Molecular Liquids. 343:117611
A machine learning simulation via artificial neural network was implemented in this work to analyse adsorption removal of cadmium ions from aqueous solutions. The considered solid adsorbent in this work was a nanocomposite of mesoporous silica type a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c4fac5825aef1e4cf22c219daa8c0b
https://doi.org/10.1016/j.molliq.2021.117611
https://doi.org/10.1016/j.molliq.2021.117611
Publikováno v:
International Journal of Modern Physics C. 31:2050071
Community detection has always been one of the most important issues in network science. With the arrival of the era of big data, it is necessary to develop new accurate and fast community detection methods for the study of many real complex networks
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ffe8b32274778b4ee28287ec160b50d
https://doi.org/10.1142/s0129183120500710
https://doi.org/10.1142/s0129183120500710