Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Guohuai Wang is active.

Publication


Featured researches published by Guohuai Wang.


Frontiers of Biology in China | 2014

Proteomic analysis of differentially expressed proteins between Xiangyou 15 variety and the mutant M15

Zhenqian Zhang; Gang Xiao; Rui-Yang Liu; Tai-long Tan; Chunyun Guan; Guohuai Wang; Sheyuan Chen; Xianmeng Wu; Mei Guan; Qin Li

A high oleic acid rapeseed material M15 (derived from Xiangyou 15 variety) has been received more attention for its significant effect for human health. And it has almost the same physiological characteristic with Xiangyou 15 variety. To find out the difference between high oleic acid rapeseed material and Xiangyou 15 seedling, a comparative proteomic approach based on 2-DE and mass spectrometry was adopted. A total of 277 protein spots showed a significant change in intensity by more than 2.0-fold from M15 compared with Xiangyou 15 variety. Among them, 48 spots that changed at least 3.0-fold were excised from gels and successfully identified by MALDI-TOF/TOF MS. The identified proteins involved in metabolism of carbohydrate and energy (75%), stress and defense (8.3%), photosynthesis (6.3%), protein metabolism (2.1%) and other functions (8.3%). Then real-time quantitative PCR (qPCR) analysis was used to verify the expression levels of differentially expressed proteins, but the results did well agree with the proteomic results. In this work, most of the proteins involved in metabolism of carbohydrate and energy have higher expression in M15, which may reveal M15 has higher metabolism ability. These results provided much information to understand the differences between high oleic acid rapeseed material and Xiangyou 15 variety, which will be useful to screen high oleic rapeseed materials in seedling period.


Agricultural Sciences in China | 2010

Research and Utilization of Chemical Inducing Male Sterility for Hybrid Seed Production in Canola (Brassica napus)

Chunyun Guan; Guohuai Wang; Sheyuan Chen; Xun Li; Zhongsong Liu; Mei Guan; Qiong-ying Zhang; Bao-lin Liu; Senlin Tian; Guo-zhang Kang; Tie-kai Li

Zinc methylarsenate (ZMA) has been found to be the best chemical hybridizing agent for canola among the over 40 chemicals investigated. Cytological, physiological, and biochemical processes of induction of male sterility by several chemical hybridizing agents were revealed in canola. The system for hybrid seed production using a chemical hybridizing agent has been established for the first time and used for breeding hybrid varieties in canola. A number of heterotic hybrid canola varieties such as Xiangzayou 1 and Xiangzayou 6 have been developed using the above hybrid seed system and commercially released in the Yangtze Valley, China, with the planting area of over 2.3 million ha and direct economic benefit of 1 billion RMB yuan. Fifty-two scientific papers have been published. These studies were financially supported by the grants from Ministry of Science and Technology, China ( 96-002-02-13 , 85-03-03-02 ) and from the Department of Science and Technology, Hunan Province, China ( NKY 1004-02 ). These scientific achievements won the 2009 State Science and Technology Award of China (2nd prize).


Archive | 2008

Rotary cultivating and ditching two-purpose device

Haifeng Luo; Chunyun Guan; Chuzhou Tang; Sheyuan Chen; Mingliang Wu; Guohuai Wang; Fangping Xie; Xun Li; Wenmin Yang; Zhongsong Liu


Archive | 2008

Cultivation method of í«mechanical sowing, mechanical harvest, moderate managementí» for south winter rape

Chunyun Guan; Sheyuan Chen; Xun Li; Guohuai Wang; Zhongsong Liu; Mei Guan


Archive | 2008

Sowing machine warning instrument for monitoring sowing quantity

Yang Xiang; Chunyun Guan; Chuzhou Tang; Sheyuan Chen; Haifeng Luo; Guohuai Wang; Fangping Xie; Xun Li; Mingliang Wu; Zhongsong Liu


Archive | 2008

Precision seeding detecting sensor

Chuzhou Tang; Chunyun Guan; Yang Xiang; Sheyuan Chen; Haifeng Luo; Guohuai Wang; Fangping Xie; Xun Li; Mingliang Wu; Zhongsong Liu


Archive | 2008

Shaft type clutch

Mingliang Wu; Chunyun Guan; Chuzhou Tang; Sheyuan Chen; Fangping Xie; Guohuai Wang; Haifeng Luo; Xun Li; Wenmin Yang; Zhongsong Liu


Journal of Hunan Agricultural University | 2014

A study on occurrence of weed community and its control in rape field after rice: A study on occurrence of weed community and its control in rape field after rice

Jun-xiong Lu; Sheyuan Chen; Chunyun Guan; Zhongsong Liu; Guohuai Wang; Gang Xiao


Journal of Hunan Agricultural University | 2011

Analysis of high yield formation of rapeseed in Hunan province and high-yield cultivation measures: Analysis of high yield formation of rapeseed in Hunan province and high-yield cultivation measures

Chunyun Guan; Tai-long Tan; Guohuai Wang; Feng Wang; Mei Guan


Archive | 2008

Harvest-seed extraction technique at one time for south winter rape

Chunyun Guan; Sheyuan Chen; Xun Li; Guohuai Wang; Zhongsong Liu; Mei Guan

Collaboration


Dive into the Guohuai Wang's collaboration.

Top Co-Authors

Avatar

Sheyuan Chen

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Zhongsong Liu

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Mei Guan

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Chunyun Guan

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Gang Xiao

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Tai-long Tan

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Bao-lin Liu

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Guo-zhang Kang

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Qin Li

Hunan Agricultural University

View shared research outputs
Top Co-Authors

Avatar

Qiong-ying Zhang

Hunan Agricultural University

View shared research outputs
Researchain Logo
Decentralizing Knowledge