Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Shenghong Zheng"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Great concern has long been raised about nitrate leaching in cropland due to its possible environmental side effects in ground water contamination. Here we employed two common techniques to measure nitrate leaching in tea plantation soils in
Externí odkaz:
https://doaj.org/article/c58dfe649f464a98b3309d2beb87814e
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 129, Iss , Pp 103813- (2024)
Transformer networks have demonstrated remarkable performance in point cloud analysis. However, achieving a balance between local regional context and global long-range context learning remains a significant challenge. In this paper, we propose a Hie
Externí odkaz:
https://doaj.org/article/52c8d55708f24fe098837ced7a3fdcba
Publikováno v:
Frontiers in Genetics, Vol 15 (2024)
Shading treatments impact the tea (Camellia sinensis L.) quality. The sunlight sensitive varieties can be grown under shading nets for better growth and secondary metabolite content. Here, we studied the responses of a sunlight sensitive green tea va
Externí odkaz:
https://doaj.org/article/2fd532ef07ee4c57871f1878a71958fc
Autor:
Sirou Wei, Boheng Liu, Kang Ni, Lifeng Ma, Yuanzhi Shi, Yang Leng, Shenghong Zheng, Shuilian Gao, Xiangde Yang, Jianyun Ruan
Publikováno v:
Agronomy, Vol 13, Iss 1, p 221 (2023)
Rhizosphere microbes play pivotal roles in regulating the soil ecosystem by influencing and directly participating in the nutrient cycle. Evidence shows that the rhizosphere microbes are highly dependent on plant genotype and cultivars; however, thei
Externí odkaz:
https://doaj.org/article/5ef4c0c191f04b419a1accf5387e3c6f
Autor:
Shenghong Zheng, Kang Ni, Lingfei Ji, Chenguang Zhao, Hongling Chai, Xiaoyun Yi, Weizhong He, Jianyun Ruan
Publikováno v:
Agronomy, Vol 11, Iss 11, p 2332 (2021)
Crop coefficient (Kc) is one of the most significant parameters for crop water demand prediction and irrigation scheduling. However, there is a lack of knowledge about water vapor and Kc in tea plantation ecosystems. This study explored and determine
Externí odkaz:
https://doaj.org/article/00919626aab44a10bcdae305e6ff5fbc
Autor:
Weizhong He, Shenghong Zheng, Xiaoyun Yi, Hongling Chai, Lingfei Ji, Ni Kang, Jianyun Ruan, Chenguang Zhao
Publikováno v:
Agronomy, Vol 11, Iss 2332, p 2332 (2021)
Agronomy; Volume 11; Issue 11; Pages: 2332
Agronomy; Volume 11; Issue 11; Pages: 2332
Crop coefficient (Kc) is one of the most significant parameters for crop water demand prediction and irrigation scheduling. However, there is a lack of knowledge about water vapor and Kc in tea plantation ecosystems. This study explored and determine