Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Wenrui, Hou"'
Autor:
Qiang Liang, Jian Ning Liu, Hongcheng Fang, Yuhui Dong, Changxi Wang, Yan Bao, Wenrui Hou, Rui Zhou, Xinmei Ma, Shasha Gai, Lichang Wang, Shouke Li, Ke Qiang Yang, Ya Lin Sang
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Yellowhorn (Xanthoceras sorbifolium) is an oil-bearing tree species growing naturally in poor soil. The kernel of yellowhorn contains valuable fatty acids like nervonic acid. However, the genetic basis underlying the biosynthesis of valued fatty acid
Externí odkaz:
https://doaj.org/article/63587e24d95b4f138499b22b1a833a17
Autor:
Xinmei Ma, Jian Ning Liu, Liping Yan, Qiang Liang, Hongcheng Fang, Changxi Wang, Yuhui Dong, Zejia Chai, Rui Zhou, Yan Bao, Wenrui Hou, Ke Qiang Yang, Dejun Wu
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Fraxinus velutina Torr with high salt tolerance has been widely grown in saline lands in the Yellow River Delta, China. However, the salt-tolerant mechanisms of F. velutina remain largely elusive. Here, we identified two contrasting cutting clones of
Externí odkaz:
https://doaj.org/article/a602490a976b4b8f9de357c14e8edf15
Autor:
Xinmei, Ma, Jian Ning, Liu, Liping, Yan, Qiang, Liang, Hongcheng, Fang, Changxi, Wang, Yuhui, Dong, Zejia, Chai, Rui, Zhou, Yan, Bao, Wenrui, Hou, Ke Qiang, Yang, Dejun, Wu
Publikováno v:
Frontiers in plant science. 13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::319ad2ae3a921277f0ea7778e11c40c8
https://pubmed.ncbi.nlm.nih.gov/35310642
https://pubmed.ncbi.nlm.nih.gov/35310642
Publikováno v:
Journal of Food Composition and Analysis. 100:103925
The oilseed tree species yellowhorn (Xanthoceras sorbifolium Bunge) is a promising oil crop; however, the nutritional properties of the kernels have not been adequately explored. This study investigated the nutritional components of the kernels of se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee13e3232f58bb3d19faa00a174725a2
https://doi.org/10.1016/j.jfca.2021.103925
https://doi.org/10.1016/j.jfca.2021.103925
Publikováno v:
DEStech Transactions on Computer Science and Engineering.
For poor target segmentation effect, the fewer detail features of underwater target are always lost in Fourier transform. According to amounts of analyzing statistical, a new underwater target detection method based on wavelet transform is proposed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed2a0322b6e4689c5818bf1d02799b31
https://doi.org/10.12783/dtcse/icmsie2017/18670
https://doi.org/10.12783/dtcse/icmsie2017/18670