|
|
|
| Transagriculture：A Discussion on Developing Intelligent Rice Breeding Robot |
| LI Hui1, ZUO Qin-yue1, LUO Ke1, MO Bang-hui2, ZHANG Guo-lin1, WEN Xing-che2, YANG Qiong3, YU Mao-qun1, WANG Song-hu1, CHEN Bin2, CHEN Li1, CHEN Ming-cai4, TU Sheng-bin1 |
1 Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China;
2 Chengdu Information Technology of Chinese Academy of Sciences Co., Ltd., Chengdu 610041, China;
3 Renhuai Secondary Vocational School, Renhuai 564599, China;
4 CPC Sichuan Provincial Committee Party School, Chengdu 610071, China |
|
|
|
Abstract China currently faces the food security problem that demand for food continues to increase while increasing rate of grain yield slows down obviously. Exploring innovation of new technology and methods in crop breeding is a key point to achieve a major breakthrough in breeding of new crop breeding, promote substantial and steady increase of grain yield and ensure china's food security. To achieve these goals, a new thought and research model could be provided by exploring a integrated multidisciplinary transagricultural research mode combined with the traditional theories and methods on agricultural research.‘Transagriculture’is extension and development of modern agriculture. It means a series of research models and solutions in the context of global climate change, resource scarcity and food security, which integrate advantages in various disciplines of politics, economy, science & technology and agriculture, and carry out interdisciplinary, cross-industrial joint research and integrated innovation to solve major problems in agriculture. Rapid development of rice breeding theory, genomics, proteomics, technology of image recognition and processing, automation technology and information technology has provided necessary conditions for such transagricultural research mode. Based on the thought of transagriculture and combined with our joint research project on genotyping instrument for seeds & cloud computing terminal for SSR fingerprint of rice, we analyzed and discussed the research background, basis and technical conditions, feasibility and design scheme of intelligent rice breeding robot, and further prospected its application.
|
|
Received: 03 April 2014
Published: 25 May 2014
|
|
|
|
Cite this article:
LI Hui, ZUO Qin-yue, LUO Ke, MO Bang-hui, ZHANG Guo-lin, WEN Xing-che, YANG Qiong, YU Mao-qun, WANG Song-hu, CHEN Bin, CHEN Li, CHEN Ming-cai, TU Sheng-bin. Transagriculture：A Discussion on Developing Intelligent Rice Breeding Robot. China Biotechnology, 2014, 34(5): 116-121.
URL:
https://manu60.magtech.com.cn/biotech/10.13523/j.cb.20140516 OR https://manu60.magtech.com.cn/biotech/Y2014/V34/I5/116
|
|
|
|
[1] 黎志康. 我国水稻分子育种计划的策略. 分子植物育种,2005, 3(5): 603-608. Li Z K. Strategies for molecular rice breeding in China. Molecular Plant Breeding, 2005, 3.
[2] Tester M, Langridge P. Breeding technologies to increase cro Pproduction in a changing world. Science, 2010, 327(5967): 818-822.
[3] Moose S P, Mumm R H. Molecular plant breeding as the foundation for 21st century cro Pimprovement. Plant Physiol, 2008, 147 (3): 969-977.
[4] 黎裕,王建康,邱丽娟,等. 中国作物分子育种现状与发展前景. 作物学报,2010, 36(9): 1425-1430. Li Y, Wang J K, Qiu L J, et al. Cro Pmolecular breeding in China: current status and perspectives. Acta Agron Sin, 2010, 36(9): 1425-1430.
[5] 万建民. 作物分子设计育种. 作物学报,2006, 32(3): 455-462. Wan J M. Perspectives of molecular design breeding in crops. Acta Agron Sin, 2006, 32(3): 455-462.
[6] Houle D, Govindaraju D R, Omholt S. Phenomics: the next challenge. Nat Rev Genet, 2010, 11(12): 855-866.
[7] 玉光惠,方宣钧. 表型组学的概念及植物表型组学的发展. 分子植物育种,2009, 7(4): 639-645. Yu G H, Fang X J. Concept of phenomics and its development in plant science. Molecular Plant Breeding, 2009, 7(4): 639-645.
[8] 宋幼良. 水稻育种的现状与方向. 中国种业,2013, 1: 10-12. Song Y L. Status and direction of rice breeding. China Seed Industry, 2013, 1: 10-12.
[9] 陈温福,徐正进,唐亮. 中国超级稻育种研究进展与前景. 沈阳农业大学学报,2012, 43(6): 643-649. Chen W F, Xu Z J, Tang L. Advances and prospects in research on super rice breeding. Journal of Shenyang Agricultural University, 2012, 43(6): 643-649.
[10] Yu J, Hu S, Wang J, et al. A draft sequence of the rice genome (Oryza sativa L. ssp. indica). Science, 2002, 296(5565): 79-92.
[11] Harushima Y, Yano M, Shomura A, et al. A high-density rice genetic linkage ma Pwith 2275 markers using a single F2 population. Genetics, 1998, 148(1): 479-494.
[12] Goff S A, Ricke D, Lan T H, et al. A draft sequence of the rice genome (Oryza sativa L. ssp. japonica). Science, 2002, 296 (5565): 92-100.
[13] Matsumoto T, Wu J Z, Kanamori H, et al. The map-based sequence of the rice genome. Nature, 2005, 436(7052): 793-800.
[14] 张启军,邹江石,吕川根,等. 水稻基因组学研究概况. 西华师范大学学报(自然科学版), 2005, 26(2): 125-135. Zhang Q J, Zou J S, Lv C G, et al. Review on the rice genomics research. Journal of China West Normal University, 2005, 26(2): 125-135.
[15] Shendure J, Ji H. Next-generation DNA sequencing. Nature Biotechnol, 2008, 26(10): 1135-1145.
[16] Marx V. Next-generation sequencing: The genome jigsaw. Nature, 2013, 501(7466): 263-268.
[17] 中国种子协会赴美考察团. 关于美国农作物种业的考察报告. 中国种业,2012, 2: 3-8. Delegation to the America of China Seed Association. Survey report on the cro Pseed industry of america. China Seed Industry, 2012, 2: 3-8.
[18] Reuzeau C, Pen J, Frankard V, et al. TraitMill: a discovery engine for identifying yield-enhancement genes in cereals. Molecular Plant Breeding, 2005, 3(5): 753-759.
[19] 杨传喜, 黄珊, 徐顽强. 中国农业科研机构的科技运行效率分析. 科技管理研究,2013, 33(4): 121-126. Yang C X, Huang S, Xu W Q. Study on the technological status and operating efficiency of agricultural research institutions in china. Science and Technology Management Research, 2013, 33(4): 121-126.
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
