Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Aiqing Feng"'
Autor:
Meiling Liang, Aiqing Feng, Congying Wang, Xiaoyuan Zhu, Jing Su, Zihan Xu, Jianyuan Yang, Wenjuan Wang, Kailing Chen, Bing Chen, Xiaopeng Lin, Jinqi Feng, Shen Chen
Publikováno v:
Microorganisms, Vol 12, Iss 6, p 1246 (2024)
Magnaporthe oryzae, one of the most destructive rice pathogens, causes significant losses during the rice harvest every year. Bacillus amyloliquefaciens has been explored in many crops as a potential biocontrol agent. However, the mechanisms of B. am
Externí odkaz:
https://doaj.org/article/09ff7db5cac64e0487baf6466c886978
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The frequent occurrence of extreme precipitation events notably affects the middle and lower reaches of the Yangtze River (MLYR) during the Mei-yu period. Based on meteorological station data from the China Meteorological Administration collected fro
Externí odkaz:
https://doaj.org/article/4db3de0c0cd14c41839353ca5f08a051
Autor:
Aiqing Feng, Lulu Liu, Guofu Wang, Jian Tang, Xuejun Zhang, Yixiao Chen, Xiangjun He, Ping Liu
Publikováno v:
Remote Sensing, Vol 15, Iss 22, p 5410 (2023)
Drought is a complex natural hazard that affects various regions of the world, causing significant economic and environmental losses. Accurate and timely monitoring and forecasting of drought conditions are essential for mitigating their impacts and
Externí odkaz:
https://doaj.org/article/946eb1a2514544c7960d706f0c984f77
Autor:
Weicheng Song, Aiqing Feng, Guojie Wang, Qixia Zhang, Wen Dai, Xikun Wei, Yifan Hu, Solomon Obiri Yeboah Amankwah, Feihong Zhou, Yi Liu
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3417 (2023)
Accurate assessment of the extent of crop distribution and mapping different crop types are essential for monitoring and managing modern agriculture. Medium and high spatial resolution remote sensing (RS) for Earth observation and deep learning (DL)
Externí odkaz:
https://doaj.org/article/2b1ead3bbae340f1b0df5f3bb966f8a9
Autor:
Jingfang Dong, Lian Zhou, Aiqing Feng, Shaohong Zhang, Hua Fu, Luo Chen, Junliang Zhao, Tifeng Yang, Wu Yang, Yamei Ma, Jian Wang, Xiaoyuan Zhu, Qing Liu, Bin Liu
Publikováno v:
Rice, Vol 14, Iss 1, Pp 1-16 (2021)
Abstract Background Although panicle blast is more destructive to yield loss than leaf blast in rice, the cloned genes that function in panicle blast resistance are still very limited and the molecular mechanisms underlying panicle blast resistance r
Externí odkaz:
https://doaj.org/article/ab72111350e142738d6e5ea840a3809b
Publikováno v:
Atmosphere, Vol 14, Iss 3, p 544 (2023)
Based on gridded temperature data from the China Meteorological Administration (CMA), two types of methods, i.e., absolute methods and relative methods, respectively, were used to identify heat waves in Mainland China. Four statistical indicators, in
Externí odkaz:
https://doaj.org/article/34980307aa614c22ad6158993fc8eb68
Autor:
Congying Wang, Shen Chen, Aiqing Feng, Jing Su, Wenjuan Wang, Jinqi Feng, Bing Chen, Meiying Zhang, Jianyuan Yang, Liexian Zeng, Xiaoyuan Zhu
Publikováno v:
Rice, Vol 14, Iss 1, Pp 1-16 (2021)
Abstract Background The rice (Oryza sativa) gene Xa7 has been hypothesized to be a typical executor resistance gene against Xanthomonas oryzae pv. oryzae (Xoo), and has conferred durable resistance in the field for decades. Its identity and the molec
Externí odkaz:
https://doaj.org/article/c4f284a24893413d8265be2f9b5812d4
Publikováno v:
Frontiers in Environmental Science, Vol 9 (2021)
Facing the western Pacific Ocean and backed by the Eurasian continent, the coastal area of China (hereafter as CAC) is sensitive and vulnerable to climate change due to the compound effects of land-ocean-atmosphere, and thus is prone to suffer huge c
Externí odkaz:
https://doaj.org/article/5e4c5c2eb7664776820061d4435f83f9
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102400- (2021)
Precise monitoring of floods is significant in disaster management and loss reduction; however, remote sensing data resource and methods can largely affect the monitoring accuracy of flooded areas. In this study, we use cloud-free Sentinel-1 Syntheti
Externí odkaz:
https://doaj.org/article/63ddf93ac48443afaa2e6f31108e732b
Autor:
Aixia Feng, Feng Gao, Qiguang Wang, Aiqing Feng, Qiang Zhang, Yan Shi, Zhiqiang Gong, Guolin Feng, Yufei Zhao
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Snow cover over the Tibetan Plateau plays a vital role in the regional and global climate system because it affects not only the climate but also the hydrological cycle and ecosystem. However, high-quality snow data are hindered due to the sparsity o
Externí odkaz:
https://doaj.org/article/d5293e23dd82422baef70baa04420f1d