基于水足迹的民勤县农作物耗水当量与气候响应评估

在阐述水足迹、水资源压力指数的基础上,计算了1991—2013年民勤县8种主要农作物(玉米、小麦、棉花、葵花、苹果、瓜类、蔬菜)蓝水需水量、总耗水当量和单位作物耗水当量,研究了这些作物在23年内总耗水当量和单位耗水当量的时间序列变化规律,并对比三种经济技术耗水分离模型,分离出4种典型作物(小麦、玉米、棉花、瓜类)单位气候耗水当量,最后选择逐步回归分析法探讨了作物气候耗水当量与相关气候因子之间的关系。结果表明:(1)民勤总耗水当量逐年增加,粮食作物总耗水当量变化最大,蔬菜、油料作物(葵花)次之,单位作物耗水当量在震荡中逐年递减;(2)HP滤波法为最优气候耗水当量分离模型,单位作物气候耗水当量趋势性不明显,序列期内震荡显著,且不同作物差异较大;(3)显著影响单位作物气候耗水当量的主要气候因子为5、6月份总降水量和7月份相对湿度,与生长期内气温要素相关性不强。可见,不同作物耗水变化的气候响应模式差异较大,整体受降水和温度的影响显著,但对全球气候变暖大趋势的响应机制尚不明确。     

Bt作物系统害虫发生演替研究进展

自1996年以来的20年间,全球商业化种植Bt作物的国家增加到了25个。目前,种植应用的Bt作物主要是Bt棉花和Bt玉米,年种植面积约0.8亿hm2。Bt作物的大面积种植可能会带来害虫发生演替问题,国内外学术界对此高度关注。本文围绕这一核心问题,介绍了国内和国际的研究进展,同时对今后的研究进行了展望。以期为Bt棉花和Bt玉米的持续利用,以及其他Bt作物的推广应用提供经验与借鉴,进一步提升Bt作物在农作物害虫综合治理中的作用和地位。     

Development of chemical weed control and integrated weed management in China

More than 200 species of weeds are infesting main crop fields in China, among which approximately 30 species are major weeds causing great crop yield losses. About 35.8 million hectares of crop fields are heavily infested by weeds and the annual reduction of crop yields is 12.3–16.5% (weighted average). Along with rural economic development, approximately 50% of the main crop fields undergo herbicide application. Chemical weed control has changed cultural practices to save weeding labor in rice, wheat, maize, soybeans and cotton. At the same time, continuous use of the same herbicides has caused weed shift problems and weed resistance to herbicides. Consequently, integrated weed management in main crops is being developed.     

Control of crop diseases through Integrated Crop Management to deliver climate-smart farming systems for low- and high-input crop production

Crop diseases affect crop yield and quality and cause significant losses of total food production worldwide. With the ever-increasing world population and decreasing land and water resources, there is a need not only to produce more food but also to reduce agricultural greenhouse gas (GHG) emissions to mitigate climate change and avoid land use change and biodiversity loss. Thus, alternative climate-smart farming systems need to adapt to produce more food per hectare in a more sustainable way than conventional high-input farming systems. In addition to breeding new high-yielding cultivars adapted to future climates, there is a need to deploy Integrated Crop Management (ICM) strategies, relying less on synthetic inputs for fertilization and crop protection and less on fossil fuel-powered machinery to decrease yield losses due to pest and pathogens and guarantee food security. In this review, we compare some low-input farming systems to conventional agricultural systems with a focus on ICM solutions being developed to reduce synthetic inputs; these include crop genetic resistance to pathogens, intercropping, canopy architecture manipulation, and crop rotation. These techniques have potential to decrease crop disease frequency and severity by decreasing amounts and dispersal of pathogen inoculum and by producing microclimates that are less favourable for pathogen development, while decreasing GHG emissions and improving environmental sustainability. More research is needed to determine the best deployment of these ICM strategies in various cropping systems to maximize yield, crop protection, and other ecosystem services to address trade-offs between climate change and food security.     

近10年农作物主要病虫害发生危害情况的统计和分析

2006-2015年,我国农作物病虫草鼠害总体处于严重发生状态,各类病虫害年发生面积在4.603 5亿~5.075 3亿hm2次,年均挽回粮食损失9 684.68万t,占全国粮食总产的17.35%;年均实际损失粮食1 965.49万t,占全国粮食总产的3.53%。五大粮食作物中每年通过防治挽回损失的比例,水稻、小麦、玉米、大豆和马铃薯分别占55.18%、21.29%、18.97%、1.88%和2.68%,实际造成损失的比例分别占33.67%、23.31%、35.13%、2.11%和5.79%。影响全国粮食生产最为重要的10种(类)病虫害依次为稻飞虱、水稻纹枯病、稻纵卷叶螟、玉米螟、小麦蚜虫、二化螟、稻瘟病、小麦纹枯病、小麦赤霉病、小麦白粉病;某一个病虫暴发危害时最高可实际造成200万t以上的粮食损失,总损失可达2 200万t,占某类粮食总产的12%左右,对国家粮食安全影响巨大。最具暴发和流行危害特点的种类主要有稻飞虱、稻纵卷叶螟、稻瘟病、小麦条锈病、小麦赤霉病和黏虫等6种。本文运用大量翔实的历史数据统计分析了近10年来水稻、小麦、玉米三大粮食作物病虫害的危害损失和暴发危害情况。     

作物病害监测预警研究进展

作物侵染性病害是影响作物安全生产的重要生物灾害，具有突发性、暴发性和强流行性等特点，常常造成巨大的损失。近年来，随着病菌孢子捕捉、遥感、地理信息系统、卫星定位系统、大气环流分析、分子生物学、人工智能、大数据和物联网等技术的快速发展与应用，作物病害监测预警技术取得了重要进展，大幅度提高了对病害监测和预测的准确度。该文综述了小麦、水稻、玉米和马铃薯等粮食作物的6种重大病害监测预警工作的研究进展及应用情况，同时，探讨了我国作物病害监测预警工作中存在的主要问题，并提出了未来作物病害监测预警的前景和发展方向。     

植保无人飞机低空低容量喷雾技术应用与展望

近十年来,我国植保无人飞机迅猛发展,应用的农作物范围越来越广,不仅在水稻、小麦、玉米等主要粮食作物得到了应用,在橡胶、槟榔等高大植株的病虫害防治中更有其独特优势,已经初步形成了我国植保无人飞机低空低容量喷雾的喷头配置、配套药剂、飞防助剂、作业参数等技术体系,对于重要农作物病虫害如稻纵卷叶螟、水稻纹枯病、小麦蚜虫、玉米黏虫等防治效果均在80%以上,在各地病虫害防控中发挥了重要作用。但是,植保无人飞机喷雾作业过程中,还存在炸机或失控、雾滴飘移药害、药液分层结块、防治效果不稳定等问题。通过汇总分析植保无人飞机在重要病虫草害防治工作的成功经验和安全事故,本文提出植保无人飞机低容量喷雾技术将会得到更广泛的应用,植保无人飞机专用药剂和配套助剂、变量施药、多传感器数据融合、多机协同、精准施药、施药标准和规范等都将得到长足的发展,为现代农业和智慧农业发展提供技术支持。     

Allelopathy in crop/weed interactions--an update

Since varietal differences in allelopathy of crops against weeds were discovered in the 1970s, much research has documented the potential that allelopathic crops offer for integrated weed management with substantially reduced herbicide rates. Research groups worldwide have identified several crop species possessing potent allelopathic interference mediated by root exudation of allelochemicals. Rice, wheat, barley and sorghum have attracted most attention. Past research focused on germplasm screening for elite allelopathic cultivars and the identification of the allelochemicals involved. Based on this, traditional breeding efforts were initiated in rice and wheat to breed agronomically acceptable, weed-suppressive cultivars with improved allelopathic interference. Promising suppressive crosses are under investigation. Molecular approaches have elucidated the genetics of allelopathy by QTL mapping which associated the trait in rice and wheat with several chromosomes and suggested the involvement of several allelochemicals. Potentially important compounds that are constitutively secreted from roots have been identified in all crop species under investigation. Biosynthesis and exudation of these metabolites follow a distinct temporal pattern and can be induced by biotic and abiotic factors. The current state of knowledge suggests that allelopathy involves fluctuating mixtures of allelochemicals and their metabolites as regulated by genotype and developmental stage of the producing plant, environment, cultivation and signalling effects, as well as the chemical or microbial turnover of compounds in the rhizosphere. Functional genomics is being applied to identify genes involved in biosynthesis of several identified allelochemicals, providing the potential to improve allelopathy by molecular breeding. The dynamics of crop allelopathy, inducible processes and plant signalling is gaining growing attention; however, future research should also consider allelochemical release mechanisms, persistence, selectivity and modes of action, as well as consequences of improved crop allelopathy on plant physiology, the environment and management strategies. Creation of weed-suppressive cultivars with improved allelopathic interference is still a challenge, but traditional breeding or biotechnology should pave the way.     

未来气候变化情景下我国主要粮食作物产量变化模拟

采用气候模式BCC-T63与作物模式WOFOST相结合的研究方法,在多年试验数据和模型适宜性验证的基础上,模拟分析了未来100 a(2000～2100年)气候变化情景下我国主要粮食作物发育和产量变化趋势.主要的粮食作物选取东北区域的玉米、华北区域的冬小麦和南方区域的双季稻.东北区域为东经120°～135°,北纬40°～50°,主要以黑龙江、吉林和辽宁三省区为研究对象;华北区域为东经111°～123°,北纬35°～41°,主要包括京、晋、冀和鲁等地;南方区域为东经109°～120°,北纬25°～30°,主要包括湖南、湖北以及江西等地.结果表明:东北地区玉米生育期会缩短,其中,中熟玉米平均缩短3.8 d,晚熟玉米平均缩短1.4 d,产量也会相应地下降,中热玉米平均减产3.3%,晚熟玉米平均减产2.7%;华北地区冬小麦的生育期平均缩短8.4 d;产量平均减产10.1%;南方早稻生育期平均缩短4.9 d,晚稻生育期平均缩短4.4 d,早稻的产量变化范围为1.9%～-9.5%,平均减产3.6%,晚稻的产量变化范围为2.2%～-7.3%,平均减产2.8%.     

Aspects of the growth and development of Cyperus rotundus under arable crop canopies: implications for integrated control

Cyperus rotundus L. is one of the most difficult weeds to control worldwide. In Zimbabwe, it is an important weed in arable areas with high crop production potential. The effect of maize, cotton and groundnut canopies on the suppression of C. rotundus was investigated under field conditions over two growing seasons. Similarly, C. rotundus growth and development under a constant maize population planted in isometric and rectangular stands were also studied over one growing season. The capacity of C. rotundus to spread in the short term and its regenerative capacity were curtailed under maize compared with groundnut and cotton canopies. The same was also true under isometric maize stands compared with rectangular maize stands. Significant interactions between crop canopy and time of sampling for C. rotundus shoot counts, leaf area, rhizome length, tuber counts and tuber dry weight suggest the effectiveness of the maize canopy in suppressing the spread and regenerative capacity of C. rotundus early in the season. The implications of these results for the integrated control of C. rotundus are discussed.     

Bodennahes Ozon – ein Problem für Kulturpflanzen und Ern?hrungssicherheit?

Tropospheric (ground-level) ozone is considered as one of the most important air pollutants affecting vegetation. It is a secondary pollutant formed from chemical reactions of primary pollutants (nitrogen oxides and volatile organic compounds) under the action of sunlight. While there is a clear trend of decreasing ozone peak values (?photosmog episodes??) in Europe, predictive models indicate that background ozone concentrations will continue to increase. Moreover, ozone concentrations are increasing rapidly in emerging economies worldwide. The widespread distribution of ozone already presents a risk to crop growth and health in many regions of the world. Ozone reduces plant productivity by entering leaves through the stomata, causing oxidative stress and decreasing photosynthesis, plant growth and biomass accumulation. Ozone causes visible injury symptoms to foliage, and decreases crop yield and yield quality, any or all of which can result in significant economic losses. However, there is a wide inter- as well as intraspecific variation in sensitivity to ozone. Important food crops such as wheat and soybean are highly sensitive to ozone, while potato, maize or sugar beet are considered to be less sensitive. Modification of the crops?? sensitivity by interactions of ozone with biotic and abiotic factors or by secondary effects of ozone are well documented but are poorly addressed in current risk assessments.     

Implications of future climate change on crop and irrigation water requirements in a semi-arid river basin using CMIP6 GCMs

Agriculture faces risks due to increasing stress from climate change, particularly in semi-arid regions. Lack of understanding of crop water requirement (CWR) and irrigation water requirement (IWR) in a changing climate may result in crop failure and socioeconomic problems that can become detrimental to agriculture-based economies in emerging nations worldwide. Previous research in CWR and IWR has largely focused on large river basins and scenarios from the Coupled Model Intercomparison Project Phase 3 (CMIP3) and Coupled Model Intercomparison Project Phase 5 (CMIP5) to account for the impacts of climate change on crops. Smaller basins, however, are more susceptible to regional climate change, with more significant impacts on crops. This study estimates CWRs and IWRs for five crops (sugarcane, wheat, cotton, sorghum, and soybean) in the Pravara River Basin (area of 6537 km²) of India using outputs from the most recent Coupled Model Intercomparison Project Phase 6 (CMIP6) General Circulation Models (GCMs) under Shared Socio-economic Pathway (SSP)245 and SSP585 scenarios. An increase in mean annual rainfall is projected under both scenarios in the 2050s and 2080s using ten selected CMIP6 GCMs. CWRs for all crops may decline in almost all of the CMIP6 GCMs in the 2050s and 2080s (with the exceptions of ACCESS-CM-2 and ACCESS-ESM-1.5) under SSP245 and SSP585 scenarios. The availability of increasing soil moisture in the root zone due to increasing rainfall and a decrease in the projected maximum temperature may be responsible for this decline in CWR. Similarly, except for soybean and cotton, the projected IWRs for all other three crops under SSP245 and SSP585 scenarios show a decrease or a small increase in the 2050s and 2080s in most CMIP6 GCMs. These findings are important for agricultural researchers and water resource managers to implement long-term crop planning techniques and to reduce the negative impacts of climate change and associated rainfall variability to avert crop failure and agricultural losses.     

Effect of tillage, cover crop and crop rotation on the composition of weed flora in a sandy soil

The development of integrated weed management strategies requires knowledge of mechanisms that influence compositional changes in weed flora. A 9-year study was initiated in 1988 at Delhi, Canada, on a loamy sand soil to evaluate the effect of tillage systems [conventional (CT) and no-till (NT)] and cover crops (only in NT) on weed density, species composition and associations, and crop yield in a winter wheat ( Triticum aestivum L.)/bean/winter wheat rotation. Three bean types: soyabean ( Glycine max L. Merr.), white bean ( Phaseolus vulgaris L.) and kidney bean ( P . vulgaris L.) were included. The NT system included variations: rye ( Secale cereale L.) or maize ( Zea mays L.) cover crop, volunteer wheat disked after harvest and wheat stubble. Data were collected in 1994, 1995 and 1996. Tillage systems, cover crops and crop type had differential effects on weed densities, species composition and associations. Weed densities were not affected by tillage or cover crops in wheat but, in the beans, densities were greater in the CT than in the NT systems. Various associations of weed species with tillage system, cover crop and crop type were observed. Crop yields were not affected by tillage type or cover crop, except that soyabean yields were highest in plots with cover crops.     

Crop damage and yield loss caused by two species of rodents in irrigated fields in northern Nigeria

We investigated the damage and yield loss caused by two rodent species, Arvicanthis niloticus and Mastomys (Praomys) natalensis, in cereal crops in fields near Kano, northern Nigeria from August, 1990 to April, 1992. Using the random cluster technique, we selected 100 clusters of 30 hills in each rice and wheat field, and assessed damage fortnightly, using the Cut Tiller Count method. In premature crops, damage increased from tillering stages to the dough stages. Differences in the percentages of damage (yield loss) in mature rice (4.8% in 1990 and 12.6% in 1991) and in wheat (30.0% in 1991 and 21.7% in 1992) were statistically significant between years. Severe yield losses in wheat, compared to low and moderate levels in rice (grown for the most part during the rains), were probably a result of greater consumption of the wheat, grown entirely by irrigation during the dry season when other rodent food sources were less abundant. Results of ANOVA showed significant effects of developmental stage of the crop, year of cultivation, and their interactions on the magnitude of crop damage.     

Effects of variation in rainfall on rainfed crop yields and water use in dryland farming areas in China

Crop production in the dryland farming areas of northern China is constrained by low and variable rainfall. This article presents the analysis of the relationships between variations in rainfall and yields of winter wheat and spring maize. The analysis is based on data from both several short-term and our ongoing long-term field experiments in dryland farming research projects in Tunliu, Linfen, Shouyang, and Luoyang. Grain yields of wheat and maize ranged from 1,548 to 5,169 and from 2,612 to 8,789 kg ha^-1 respectively, with differences up to above 200% (between dry and wet years). Wheat yields are sensitive to growing season rainfall but also correlated to water use (ET), whereas maize yields are sensitive to the critical time of water supply (especially June rainfall) but not correlated to ET. The ratio of grain yields to soil water at sowing is an important indicator, showing close relationships between yields and soil water-related ratio within the rainfed crops site. Comparison between the indices of water use efficiency (WUE) and precipitation use efficiency (PUE) suggests that the index WUE is more grain-related indicator than the PUE used for assessing rainfed crop water use by both maize and wheat. The index PUE should be used in caution, especially for wheat crops in dry years. Our results indicate that options to alleviate crop moisture stress must be tailored to the rainfall pattern. This holds especially for conservation tillage with response nutrient management practices that aim at enhancing water use efficiency.     

内蒙古兴安盟农作物品种布局业务系统开发

以小网格气候资源推算模型和各地的地理参数为基础,计算出各地的水热气候资源,针对当地不同生产力水平、不同地形条件下的玉米、水稻、大豆、优质牧草、速生林等农牧林作物布局情况,确定适宜种植指标和搭配种植指标.通过细化的各地水热气候资源与各种作物所需积温和生长期相匹配指标,给出任意地区的适宜种植品种和搭配种植品种,也可给出任意品种的适宜、次适宜和不适宜种植地区,并通过编程开发出兴安盟农作物品贩种布局业务系统.系统采用VB6.0语言编程,通过友好的界面,实现各种查询及服务功能,对当地合理布局农作物品种有较好指导作用.     

Spatial and temporal characteristics of the damage caused by wild ungulates in maize (Zea mays L.) crops

Agricultural damage caused by wild ungulates can be economically very important worldwide. In Europe, the impact of wild ungulates causes significant losses to crops, mainly to maize, where it exceeds billions of US dollars annually. The objective of this study was to explore the spatial and temporal characteristics of damage caused by wild boar and red deer to maize, in order to propose efficient prevention and mitigation of losses to agricultural producers worldwide. The study was carried out in three forests neighbouring maize fields in two different areas. We recorded data on the proportion, type and the location of the damage by ungulates within the fields. According to our results the damage varied greatly along the vegetation growth period (from green plant to corncob), likely due to the changes in the food supply provided by maize. The proportion of damaged plants increased through the growing season and was probably affected by the appearance of corncobs. Seventy to 90% of the total damage occurred within a 300 m distance to the forest edge. Considering these findings, we propose to arrange a protocol for damage prevention based on damage risk maps.     

Nematode pests of some major cereals in Nigeria: Need for integration of morphological/morphometrical,biochemical, and molecular diagnostic approaches for accurate identification

Plant-parasitic nematodes pose a major threat to crop production in Nigeria. Comprehensive data on yield losses for most cereal crops are not readily available. Research on maize (Zea mays), rice (Oryza sativa), and sorghum (Sorghum bicolor) has shown an 18%–67% reduction in yield linked to the destructiveness of parasitic nematodes, particularly root-knot and root-lesion nematodes. Continuous monoculture and a conservative approach to agriculture increase the incidence and population density of nematodes, leading to higher levels of damage and losses in most cultivated cereal crops. These losses affect the food security of the growing population of Nigeria and many African countries that are heavily dependent on cereals. The accurate identification of nematodes is fundamental for effective management strategies. Nematode taxonomy based on morphology has been difficult due to intraspecific character variations coupled with the limited expertise of indigenous nematologists. Biochemical and molecular marker-based tools and approaches have allowed efficient diagnosis of most nematode species affecting cereal production globally. These approaches have proved useful due to their practicality, rapidness, accuracy, and cost-effectiveness. This review describes the important economic effects of these parasitic nematodes on cereal production and highlights the need for integrative approaches to taxonomy for accurate species identification that will improve nematode diagnosis, thereby contributing to the increase of food production in Nigeria.     

新疆主要粮食作物滴灌条件下作物系数及水分生产率试验研究

通过3a小区试验,摸清新疆主要粮食作物在滴灌条件下作物系数和水分生产率的变化规律,为提高水资源利用效率、加强灌区用水管理、编制流域综合规划等项工作提供科学的试验数据和决策依据。采用小区试验方法,以小麦、旱稻、玉米、土豆、谷子、大豆6种粮食作物为试验对象,设置灌水定额单因素4水平(300m³/hm²、375m³/hm²、450m³/hm²、525m³/hm²)随机分组的灌溉试验方案,利用测坑传感器实测各处理各年份作物需水量,利用气象数据计算作物参考蒸发蒸腾量,通过考种测产分析产量和灌水量关系。结果显示:滴灌条件下6种作物各生育期阶段作物系数0.45~1.21间,全生育期0.70~1.03之间;6种作物水分生产率在7.65~81.72 kg/(hm²·mm)之间。各作物的需水敏感期分别在快速发育期和生育中期。本研究摸清了滴灌条件下新疆主要粮食作物的作物系数和水分生产率的主要规律,为全区推进现代化灌区建设和田间高效节水提供科学的数据支撑。     

阴山北麓旱作区主要作物热能值及结构调整研究

阴山北麓农牧交错地带,气候干旱冷凉,种植结构单一,生产能力低而不稳。农业生产不仅要考虑作物综合生产能力,同时要考虑其水分消耗数量。作物的热能产值反映了其综合生产能力。文中采用能值研究方法,通过田间试验、实验室分析测试对该地区三年主要作物的热能产值、耗水量及其生物产量和经济效益进行了系统研究,结果表明,当地主要作物的热能值大小依次为:向日葵>玉米>马铃薯>草玉米>草谷子>草莜麦>油菜>莜麦>小麦>胡麻>箭筈碗豆>山黧豆。考虑到热能值、生物产量、经济效益和水分生产能力,该地区种植结构调整首先应考虑马铃薯的种植,其次是向日葵,然后是饲草和杂粮。优化作物布局,可以获得作物综合生产能力和环境资源保护的双赢,能够促进资源合理利用与农牧业的可持续发展。