利用CRISPR/Cas9技术编辑BADH2-1/BADH2-2创制香米味道玉米新种质

【目的】香味是作物的重要食味品质之一。2-乙酰-1-吡咯啉（2-acetyl-1-pyrroline,2-AP）是主要香味物。BADH2是控制水稻等作物香味性状的关键基因,敲除该基因可以产生香味稻米。利用CRISPR/Cas9基因编辑技术在北京市农林科学院自育的玉米骨干亲本京724上敲除BADH2同源基因,以期获得有香米味道的玉米新种质材料。【方法】利用Ensembl数据库在线BLAST工具,将水稻OsBADH2蛋白序列在拟南芥、水稻和玉米蛋白序列数据库中进行序列比对,获得上述3个物种的BADH基因家族成员,并利用UniProt蛋白数据库中的结构域信息进行验证。进一步使用MEGA软件进行系统进化分析,获得玉米BADH2同源基因作为候选编辑靶标。基于CRISPR/Cas9基因编辑技术的原理,在候选基因的外显子处设计特异性靶点,并构建入CRISPR/Cas9基因编辑载体。再以玉米自交系京724为受体,利用农杆菌介导的遗传转化方法,通过磷酸甘露糖异构酶基因（phosphomannose isomerase,PMI）抗性筛选获得阳性转基因植株。转基因株系经测序明确其在靶基因中产生的突变类型。利用气相色谱质谱联用仪（gas chromatography-mass spectrometry,GC-MS）检测基因编辑株系T₁籽粒中香米主要香味物质2-AP的含量,以确认京724在基因编辑前后2-AP含量的变化。【结果】系统进化分析发现,玉米中存在2个BADH2同源基因,分别命名为ZmBADH2-1和ZmBADH2-2。ZmBADH2-1位于第4染色体,ZmBADH2-2位于第1染色体。2个基因均包含15个外显子和14个内含子,第4外显子间的核苷酸序列高度同源。在2个基因的第4外显子区域设计靶点并构建入CRISPR/Cas9基因编辑载体,通过遗传转化获得28株转基因株系。PCR扩增及测序分析结果显示,其中10株材料的2个ZmBADH2s在靶点区域均发生突变,突变基因型包括双等位突变和多等位突变,突变类型为不同数量的碱基缺失和插入。质谱检测结果显示玉米ZmBADH2双基因突变体籽粒中存在与香稻同样成分的2-AP。随机选取的4个T₁代基因编辑株系籽粒中,2-AP平均含量分别为438.29、404.63、348.65和161.82 μg·kg^-1,而未经过编辑的京724中未检测到2-AP。【结论】利用CRISPR/Cas9技术对玉米ZmBADH2-1和ZmBADH2-2同时进行定点敲除,创制出籽粒中具有香米味道的玉米骨干亲本新种质材料。     

护林防火技术在森林资源保护中的应用

合理运用护林防火技术可以提升森林资源保护工作的整体质量,推动林业不断发展。本文分析了森林火灾发生的原因,总结了护林防火技术,提出了相关应用对策,以期为减少森林火灾的发生和保护森林资源提供参考。     

基于工作过程的南疆高职院校园艺技术专业农业应用化学教学改革探析

分析了从南疆职业院校园艺技术专业农业应用化学教学中存在的问题,以提高该课程教学要求及园艺技术人才专业人才培养规格为目标,提出了对接教学领域与职业技能、职业素养,改革教学内容、课程体系、优化教学的方法和手段,为提高园艺技术专业服务育人本质,培养更多更好服务地方经济社会发展的高素质、高技能的园艺技术专业人才奠定重要的基础。     

茶树植保机械及减量施药技术研究进展

农药防治是茶树病虫害综合防治的重要组成部分,其在病虫害突发或爆发时具有快速高效的防治优势。茶树叶片表面具有亲水性,常量施药会造成茶叶农残超标、生态环境破坏等问题,实现茶树减量施药是减少茶叶农残的有效手段。系统综述了茶树生物特性、茶树病虫害预测诊断及防治方法、茶树植保机械及施药技术,强调提高茶树低容量喷雾的农药有效利用率是实现茶树减量施药的关键。针对目前茶园地面工况复杂及农药利用率低的问题,本文从低容量仿形喷雾机、茶树病虫害喷雾决策及智能终端等六个方面提出茶树病虫害施药技术及装备的研究建议,指出低量化、精准化及智能化是未来茶树植保喷雾机械及施药技术的发展方向。     

多措并举保障北京市昌平区设施草莓优质绿色生产

为了保障草莓的安全生产,打造昌平草莓产业的良性健康发展模式,主要从技术支撑、政府扶持及宣传3个方面阐述了其重要举措。具体措施包括通过注重提升田园清理、土壤消毒、田间管理等一系列技术措施,确保草莓安全生产;通过政府政策、资金支持及专业技术指导,打造强有力的后盾保障;建立绿色安全生产宣传模式,扩大品牌影响力,如多渠道、多方面进行宣传;组织培训,增强种植水平;充分利用互联网新媒体等。     

基于专利分析中国番茄产业技术发展研究

以上海知识产权（专利信息）公共服务平台检索系统作为统计源,借助专利情报分析方法,对中国番茄的专利申请量、布局、技术研究重点、申请人情况、主要申请人的研究方向等方面进行分析,揭示中国番茄领域专利技术的分布规律及特征,探究中国番茄领域技术创新能力与技术水平,从而为番茄领域的技术研究提供参考依据。     

Application of molybdenum fertilizer enhanced quality and production of alfalfa in northern China under non-irrigated conditions

Molybdenum (Mo) is an essential micro-mineral nutrient for plant growth and development. As an important legume forage, alfalfa (Medicago sativa) is frequently planted in marginal lands of northern China where water scarcity and infertile soil are limiting factors for alfalfa production. Mo plays an important role in nitrogen (N) metabolism in general and N fixation in legume species in particular. To evaluate the role of Mo fertilizer in alfalfa quality and production in semi-arid areas of northern China, we conducted a three-year field experiment in Inner Mongolia from 2012 to 2014. Mo fertilizer at the doses of 0, 150 g hm^?2, 300 g hm^?2yr^?1 was applied consecutively across the three years. Application of Mo at 300 g hm^?2yr^?1 significantly increased dry yield of alfalfa in 2014. Crude protein (CP) content of alfalfa without application of Mo exhibited a decline trend from 2012 to 2014. Application of Mo significantly enhanced total CP in 2012 and 2014, and delayed the reduction in total CP across the three years. In contrast to CP, Mo fertilizer had no significant effects on neutral detergent fiber and acid detergent fiber content. In addition, we found that nitrate reductase activity of alfalfa was increased by Mo fertilizer, which may account for the enhanced CP content in alfalfa. These findings highlight that application of Mo fertilizer can be an effective way to improve alfalfa production and quality in semi-arid areas in northern China.     

Factors determining the adoption of laser land leveling in the irrigated rice–wheat system in Haryana,India

Laser land leveling has been increasingly adopted in the irrigated rice (Oryza sativa L.)–wheat (Triticum aestivum L.) cropping system in the state of Haryana (India), located in the north-western Indo-Gangetic Plains. Still, many farmers have applied it to only a fraction of their land. In this study, we used data collected from 621 farm households in Haryana and applied a double-hurdle model for assessing the factors that determine the adoption and intensity of laser-leveling technology. The results show that large land holders are more likely to laser level their farm land; however, we found a negative association between land holdings and the proportion of laser-leveled land. Information about technology through farmer-to-farmer communication and through private traders, participation in agricultural training and membership in local agricultural institutions increased both the likelihood and the intensity of adoption. Our findings call for a closer collaboration among the various stakeholders, specifically to promote farmer-to-farmer communication through increased participation in local institutions and increase the rate of adoption of laser leveling technology.     

Understanding farmers’ potato production practices and use of improved varieties in Chencha,Ethiopia

This study was carried out to better understand non-adoption of improved varieties of potato (Solanum tuberosum) and associated technologies by smallholder farmers in Chencha, Ethiopia. Data were collected through a survey (n = 47) and in-depth interviews (n = 20). It shows how wealth status was a factor of major importance. Most wealthy and some medium-wealthy farmers adopted improved potato varieties and many of the improved production practices; they had access to seed, associated knowledge and support, and sufficient resources that were necessary to apply the improved practices. Non-adoption was common among many medium-wealthy and most poor farmers: they lacked—next to access to the technologies and knowledge—cash, land, and labor. Results indicated the need to rethink research and intervention efforts. Next to paying attention to differences in the access to technology and the related knowledge, there is a need to consider the variation in technology needs, supporting microcredit services, and room to experiment. As a result, different combinations of improved production practices may be adopted.     

基于启发式Johnson算法优化BP神经网络的水产养殖产量预测模型

针对水产养殖产量预测难的现状,提出一种基于启发式Johnson算法优化的反向传播神经网络(BPNN)的产量预测模型。该模型在传统BP神经网络的基础上,针对网络训练时间长、易陷入局部最优的问题,通过启发式Johnson算法降低输入神经元维度,再结合试凑法确定神经网络隐层个数,构建启发式Johnson反向传播神经网络(HJA-BPNN)学习预测模型。实验结果表明,该模型在山东省对虾海水养殖产量预测中,预测的均方根误差小于传统BP神经网络和GM(1,1),且学习效率相比传统BP神经网络有所提升。研究表明,该学习预测模型在大量历史数据的模型构造上有更大的优势,能够缩短建模时间,同时获得良好的预测效果,为水产养殖产量预测提供了一种可行的新方法。