Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jun-Xian Guo"'
Publikováno v:
Genetic Resources and Crop Evolution. 57:1217-1225
The high molecular weight glutenin subunits (HMW-GS) can be used for wheat quality improvement. Two novel alleles (designated 1Dx1.5* and 1Dy12.2*, respectively) at the Glu-D1 locus were identified in the Chinese wheat landrace variety ‘Jiuquanjinb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f7581990e54ef6586164b1b886ce6b
https://doi.org/10.1007/s10722-010-9561-9
https://doi.org/10.1007/s10722-010-9561-9
Autor:
Jun-xian Guo, Jinwu Xiang
Publikováno v:
Chinese Journal of Aeronautics. 17(3):152-158
The paper presents an analytical study of the helicopter rotor vibratory load reduction design optimization with aeroelastic stability constraints. The composite rotor blade is modeled by beam type finite elements, and warping deformation is taken in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3401edfee505810dee56dabf3cd08672
Autor:
Jinpeng Zhang, Weihua Liu, Yong-sheng Zheng, Jun-Xian Guo, Xinming Yang, Xiuquan Li, Ainong Gao, Li-Hui Li
Publikováno v:
Proteomics. 13(17)
Spike development in wheat is a complicated development process and determines the wheat propagation and survival. We report herein a proteomic study on the bread wheat mutant strain 5660M underlying spike development inhibition. A total of 121 diffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce9513c88887764bbc78561eca165153
https://pubmed.ncbi.nlm.nih.gov/23843164
https://pubmed.ncbi.nlm.nih.gov/23843164
Publikováno v:
Guang pu xue yu guang pu fen xi = Guang pu. 30(3)
Near infrared (NIR) spectroscopy was investigated to predict trash content and classify types of ginned cotton by using a fiberoptic in diffuse reflectance mode. Different spectra preprocessing methods were compared, and partial least-squares (PLS) r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::d25f7fa339202b9d17864c6a81149975
https://pubmed.ncbi.nlm.nih.gov/20496679
https://pubmed.ncbi.nlm.nih.gov/20496679
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
The accurate control of the temperature of workpieces in vacuum annealing furnace is a typical nonlinear, large time-delay and inertia, cross-coupling, time-varying complicated control problem. It is difficult to achieve the accurate control of annea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1ddcf2ea2fbbbdc6341495436661125
https://doi.org/10.1109/icmlc.2004.1382321
https://doi.org/10.1109/icmlc.2004.1382321
Publikováno v:
Proceedings of 2004 International Conference on Machine Learning & Cybernetics (IEEE Cat. No.04EX826); 2004, p934-934, 1p