今年1月至7月，我国农药出口量有所增加，但出口额大幅下降
海关总署统计数据显示，1-7月，我国农药出口78.9万吨，同比增长3.0%，出口额达23.9亿美元，同比大幅下降12.5%。 其中，杀菌剂出口量和出口额保持增长态势，分别增长7.5%和6.2%。杀虫剂出口量为13.5万吨，同比下降7.5%；出口额达5.5亿美元，同比大幅下降15.4%。除草剂出口量为57.5万吨，同比增长4.8%；出口额为15.1亿美元，同比大幅下降14.9%。 1-7月，共进口农药5.9万吨，同比增长1.5%，进口额达5亿美元，同比下降3.7%。 其中，杀虫剂进口量为70万吨，同比下降5.9%；进口额为9600万美元，同比大幅下降21.3%。杀菌剂进口量为1.8万吨，同比大幅下降12.7%；进口额为2亿美元，下降10.0%。除草剂进口量为1.8万吨，同比下降6.8%；进口额为1.2亿美元，增长5.4%。
2015-09-21
我的国家共享了3000份绿色超级稻基因组原始测序数据
On September 15th, the Chinese Academy of Agricultural Sciences, Alibaba Cloud Computing Co., Ltd., Huazhi Rice Biotechnology Co., Ltd., and Beijing Judao Technology Co., Ltd. jointly launched the “Cloud Rice Project” in Changsha, with 3,000 raw sequencing data of the green super rice genome. It will be officially opened to the world through the Alibaba Cloud platform for free. This is not only conducive to accelerating large-scale discovery of excellent rice genes, breaking the technical bottleneck of rice complex trait molecular improvement, but also accelerating the process of breeding new varieties with high yield, high quality and wide adaptability, and comprehensively improving the level of rice genome research and molecular breeding in China and the world. . 3,000 copies of rice core germplasm genome sequencing data from 89 countries around the world are important project achievements of the “Major Science and Technology Project” of the Ministry of Science and Technology and the Bill Melinda Gates Foundation for the cultivation of green super rice in resource-poor regions in Africa and Asia This is by far the largest plant genome sequencing project in the world. The project aims to cultivate new rice varieties that can be widely applied to the ecological environment of irrigation and rain-fed areas, and have the characteristics of efficient use of nitrogen and phosphorus, disease resistance, insect resistance, high yield, high quality, stress resistance （drought, salt and alkali）, etc. China's demonstration and promotion to promote hybrid rice seed production capacity and establish an efficient rice genotype analysis technology platform for rice molecular breeding in sub-Saharan African countries, Asia and Southwest China. Genome sequencing for rice core germplasm is a huge project. The gene database resource has at least two uses. One is to retrieve data from the gene library and study the distribution, evolution, and function of the target gene. The second is to analyze polymorphic sites between genomes and use them to develop molecular markers and even gene chips for molecular breeding. By sequencing the genome analysis of 3000 core rice germplasm, we can answer the question of how much genetic diversity of rice can be applied and where to obtain the genetic resources needed for biological breeding. The data obtained from the analysis will provide basic information for basic understanding of rice and biological breeding Resources. This research can reveal the genomic diversity of global cultivated rice resources, as well as the genetic characteristics and application value of each rice resource. In addition, bringing 3,000 rice germplasm resources to rice breeding applications will provide materials and new ideas for innovation in rice breeding. The analysis of the data will also fill people's knowledge gap in genomics about rice and even various species. According to experts, when the rice genome research meets “cloud computing”, it will produce great magic. For example, the deficiencies of the newly-exited “Liangyou 0293” variety is that the resistance to rice blast is relatively poor, and the 3,000-point rice genome study will rely on the “Yunzhi Rice” project. Within three years, not only can you find more There are many disease resistance genes, and it is expected that the resistance of new varieties of rice blast will be improved to above 3, so that relatively comprehensive new rice varieties such as yield and resistance will be cultivated, and the adaptability of super rice varieties will be better and wider.
