A novel hypersensitive resistance response against potato virus A in cultivar ’Shepody’

The potato cultivar ’Shepody’ is susceptible to a number of potato viruses including potato virus Y (PVY, potyvirus) but was found to possess extreme resistance to another potyvirus, potato virus A (PVA). ’Shepody’ plants were resistant to PVA infection in manual and graft inoculations. PVA replication was not detected in any of the inoculated plants by ELISA, an infectivity assay and RT-PCR. However, ’Shepody’ plants grafted with shoots containing PVA developed a novel symptomology which resembled a virus infection in appearance and in rate of translocation to the entire plant. Efforts to transmit the symptom-inducing agent manually failed. Graft-inoculation to potato virus indicator plants and PVA-susceptible potato plants showed that the symptom inducer was PVA at an extremely low concentration, detected using RT-PCR followed by Southern blot assay. Tubers from grafted but resistant ’Shepody’ plants had necrotic surfaces and internal spots. PVA was detected from necrotic areas but not from the non-necrotic ones. However, plants resulting from necrotic tubers were free from aerial leaf symptoms observed in grafted plants and produced non-necrotic normal tubers. A trace-back of the parental lineage of ’Shepody’ indicated that the resistance had been introgressed from the cultivar ’Bake King’. Analysis of progeny of a cross of resistant ’Shepody’ to the susceptible ’Goldrus’ indicated that this resistance is controlled by two independent dominant complementary genes in contrast to monogenic resistance reported for other potato viruses. Received: 6 April 1999 / Accepted: 28 July 1999     

基于地理和气象要素的春玉米生育期栅格化方法

本文以黄河流域春玉米生育期和气象站点气象数据为主要数据源,采用多元逐步回归法分析了各生育期和经度、纬度、海拔高度、降水、年均温、≥10℃积温和日照时数等影响因子的关系,建立逐步回归方程,对各生育期空间栅格化方法进行了探讨,结果表明：（1）生育期空间拟合插值的统计检验说明春玉米“播种期”、“抽雄期”和“收获期”三个时期模拟效果最好,“拔节期”效果精度相对较好;（2）播种期基本满足从西南到东北延后的变化趋势,而拔节期、抽雄期和收获期基本上表现了从南北向中部、中部向东西两侧延后的现象。本研究得到的生育期与地理和气象要素之间的逐步回归方程,可为气候条件变化下作物生育期栅格化模拟试验以及农业生产应该采取的适应机制研究提供一定的依据。     

区域气候变化情景下气候变率对我国水稻产量影响的模拟研究

利用中国随机天气模型将中国区域气候模式ＲＣＭ与作物模式ＣＥＲＥＳ－Ｒｉｃｅ相连接,模拟了３种气候变率（０％,１０％,２０％）水平下未来气候（２０５０年,假定此时ＣＯ２浓度为５５０ｍｇ／Ｌ）对我国水稻主产区（广州,长沙,南京）灌溉水稻和雨养水稻在考虑ＣＯ２肥效与否条件下的产量,模拟结果表明;（１）气候变率对水稻产量的影响因经营方式和研究地区的不同而有差异,对灌溉水稻来说,气候变率对其产量有负面影响,     

冷型小麦对干旱和阴雨的双重适应性

通过 10余年的研究 ,发现冠层温度持续偏低的冷型小麦具有广幅生态适应性 ,即在正常天气条件下 ,它的活力较好、代谢功能较强、具有较好的抗早衰能力 ,优于其它类型小麦 ;而在气象要素反差很大的干旱和连阴雨天气下 ,冷型小麦和暖型小麦、中间型小麦相比 ,不但冠层温度依然持续偏低 ,且在叶片功能期、叶绿素含量、可溶性蛋白质含量、过氧化氢酶活性、净光合速率和籽粒饱满指数等一系列重要内、外性状上仍能继续保持优势。这种对干旱和阴雨条件的双重适应性是冷型小麦一种宝贵的生物学品质 ,它有可能为小麦在多种气象生态条件下的高产、稳产打下较为坚实的生态生理基础 ,并能为优良品种的选育提出一个把冷温特征作为重要内容的较为新鲜的育种目标。     

海洋微生物纤维素酶的研究进展及其应用

海洋极端酶因在极端环境中具有更高的酶活性及更好的稳定性,因而具有重要的理论价值和工业应用前景.随着海洋微生物极端酶的研究开发,海洋微生物纤维素酶的研究也逐渐受到学者们的关注,并取得了较大进展.综述迄今为止分离出的产纤维素酶的海洋微生物种群及其酶学特性,海洋微生物纤维素酶基因克隆与表达的国内外研究现状,分析海洋微生物纤维素酶潜在的应用价值及未来发展前景.     

Weather-induced changes in moth activity bias measurement of long-term population dynamics from light trap samples

Interpretation of light trap catches of moths is complicated by daily variation in weather that alters flight activity and numbers caught. Light trap efficiency is also modified by wind and fog, and daily weather may effect absolute abundance (numbers actually present). However, actograph experiments and other sampling methods suggest that changes in daily activity are large by comparison to changes in absolute abundance. Daily variation in weather (other than wind and fog) is therefore a form of sampling error in absolute abundance estimates. We investigated the extent of this sampling bias in 26 years of population dynamics from 133 moth species. In a subset of 20 noctuid and geometrid species, daily numbers caught were positively correlated with temperature in 14 species, and negatively correlated with rainfall in 11 species. The strength of correlations varied between species, making it difficult to standardize catches to constant conditions. We overcame this by establishing how weather variation changed with time and duration of the flight period. Species flying later in the summer and for shorter periods experienced more variable temperatures, making sampling error greater for these species. Of the 133 moth species, those with shorter flight periods had greater population variability and more showed significant temporal density dependence. However, these effects were weak, which is encouraging because it suggests that population analyses of light trap data largely reflect factors other than sampling error.     

Refining the cheatgrass–fire cycle in the Great Basin: Precipitation timing and fine fuel composition predict wildfire trends

Larger, more frequent wildfires in arid and semi‐arid ecosystems have been associated with invasion by non‐native annual grasses, yet a complete understanding of fine fuel development and subsequent wildfire trends is lacking. We investigated the complex relationships among weather, fine fuels, and fire in the Great Basin, USA. We first modeled the annual and time‐lagged effects of precipitation and temperature on herbaceous vegetation cover and litter accumulation over a 26‐year period in the northern Great Basin. We then modeled how these fine fuels and weather patterns influence subsequent wildfires. We found that cheatgrass cover increased in years with higher precipitation and especially when one of the previous 3 years also was particularly wet. Cover of non‐native forbs and native herbs also increased in wet years, but only after several dry years. The area burned by wildfire in a given year was mostly associated with native herb and non‐native forb cover, whereas cheatgrass mainly influenced area burned in the form of litter derived from previous years’ growth. Consequently, multiyear weather patterns, including precipitation in the previous 1–3 years, was a strong predictor of wildfire in a given year because of the time needed to develop these fine fuel loads. The strong relationship between precipitation and wildfire allowed us to expand our inference to 10,162 wildfires across the entire Great Basin over a 35‐year period from 1980 to 2014. Our results suggest that the region's precipitation pattern of consecutive wet years followed by consecutive dry years results in a cycle of fuel accumulation followed by weather conditions that increase the probability of wildfire events in the year when the cycle transitions from wet to dry. These patterns varied regionally but were strong enough to allow us to model annual wildfire risk across the Great Basin based on precipitation alone.     

The potential and realized spread of wildfires across Canada

Given that they can burn for weeks or months, wildfires in temperate and boreal forests may become immense (eg., 10⁰ – 10⁴ km²). However, during the period within which a large fire is ‘active’, not all days experience weather that is conducive to fire spread; indeed most of the spread occurs on a small proportion (e.g., 1 – 15 days) of not necessarily consecutive days during the active period. This study examines and compares the Canada‐wide patterns in fire‐conducive weather (‘potential’ spread) and the spread that occurs on the ground (‘realized’ spread). Results show substantial variability in distributions of potential and realized spread days across Canada. Both potential and realized spread are higher in western than in eastern Canada; however, whereas potential spread generally decreases from south to north, there is no such pattern with realized spread. The realized‐to‐potential fire‐spread ratio is considerably higher in northern Canada than in the south, indicating that proportionally more fire‐conducive days translate into fire progression. An exploration of environmental correlates to spread show that there may be a few factors compensating for the lower potential spread in northern Canada: a greater proportion of coniferous (i.e., more flammable) vegetation, lesser human impacts (i.e., less fragmented landscapes), sufficient fire ignitions, and intense droughts. Because a linear relationship exists between the frequency distributions of potential spread days and realized spread days in a fire zone, it is possible to obtain one from the other using a simple conversion factor. Our methodology thus provides a means to estimate realized fire spread from weather‐based data in regions where fire databases are poor, which may improve our ability to predict future fire activity.     

Micrometeorological measurements over 3 years reveal differences in N2O emissions between annual and perennial crops

Perennial crops can deliver a wide range of ecosystem services compared to annual crops. Some of these benefits are achieved by lengthening the growing season, which increases the period of crop water and nutrient uptake, pointing to a potential role for perennial systems to mitigate soil nitrous oxide (N₂O) emissions. Employing a micrometeorological method, we tested this hypothesis in a 3‐year field experiment with a perennial grass‐legume mixture and an annual corn monoculture. Given that N₂O emissions are strongly dependent on the method of fertilizer application, two manure application options commonly used by farmers for each crop were studied: injection vs. broadcast application for the perennial; fall vs. spring application for the annual. Across the 3 years, lower N₂O emissions (P < 0.001) were measured for the perennial compared to the annual crop, even though annual N₂O emissions increased tenfold for the perennial after ploughing. The percentage of N₂O lost per unit of fertilizer applied was 3.7, 3.1 and 1.3 times higher for the annual for each consecutive year. Differences in soil organic matter due to the contrasting root systems of these crops are probably a major factor behind the N₂O reduction. We found that a specific manure management practice can lead to increases or reductions in annual N₂O emissions depending on environmental variables. The number of freeze‐thaw cycles during winter and the amount of rainfall after fertilization in spring were key factors. Therefore, general manure management recommendations should be avoided because interannual weather variability has the potential to determine if a specific practice is beneficial or detrimental. The lower N₂O emissions of perennial crops deserve further research attention and must be considered in future land‐use decisions. Increasing the proportion of perennial crops in agricultural landscapes may provide an overlooked opportunity to regulate N₂O emissions.     

不同天气类型下UV-B辐射对高山植物美丽风毛菊叶片PSII光化学效率的影响分析

以中国科学院海北高寒草甸试验站地区的美丽风毛菊(Saussurea superba)为材料, 通过短期滤除自然光谱中紫外线B (UV-B)辐射成分的途径, 研究了UV-B辐射对叶片光系统II (PSII)光化学效率的影响。不同天气的归纳分析表明, 随可见光辐射的降低, 暗适应3 min的PSII最大光化学量子效率(F_(v)/F_(m))显著升高; 与此同时PSII实际光化学量子效率(Φ_PSII)和光化学猝灭系数(q_P)也显著升高, 非光化学猝灭系数(NPQ)则显著降低。滤除UV-B辐射后, 3种典型天气类型下的F_(v)/F_(m)均略有升高趋势; 且Φ_PSII和q_P增加, 而NPQ略有降低趋势。量子效率的相对限制(L_(PFD))和PSII反应中心开放程度(q_L)的进一步分析表明, UV-B辐射能显著影响辅酶A还原状态, 对高山植物美丽风毛菊的光合机构具有负影响。综上可知, 自然光中的可见光辐射是影响PSII激发能捕获效率的重要因素, PSII反应中心的光化学效率和非光化学能量耗散主要受光和有效辐射的影响; 滤除UV-B成分能减缓PSII反应中心的光抑制程度。