Predicting effective doses for the joint action of two fungicide applications

A function was derived to predict fungicide efficacy when more than one application of a single active ingredient is made to a crop, given parameters describing the dose–response curves of the component single-spray applications. In the function, a second application is considered to act on that proportion of the total pathogen population which was uncontrollable at the time of the first application (represented by the lower asymptote of the dose–response curve for the first treatment), plus any additional part of the population which survived the first application as a result of a finite dose being applied. Data to estimate the single-spray dose–response curve parameters and validate predictions of two-spray programme efficacy were obtained from separate subsets of treatments in four field experiments. A systemic fungicide spray was applied to wheat at a range of doses, at one or both of two times (t₁ and t₂), in all dose combinations. Observed values of the area under the disease progress curve (AUDPC) for septoria leaf blotch (Mycosphaerella graminicola) were used to construct response surfaces of dose at t₁ by dose at t₂ for each culm leaf layer. Parameters were estimated from single-spray and zero-dose treatment data only. The model predicted a high proportion (R² = 71–95%) of the variation in efficacy of the two-spray programmes. AUDPC isobols showed that the dose required at t₂ was inversely related to the dose at t₁, but the slope of the relationship varied with the relative timings of t₁ and t₂ in relation to culm leaf emergence. Isobols were curved, so the effective dose – the total dose required to achieve a given level of disease suppression – was lower when administered as two applications.     

Modelling Plant Disease Epidemics

An epidemic is the progress of disease in time and space. Each epidemic has a structure whose temporal dynamics and spatial patterns are jointly determined by the pathosystem characteristics and environmental conditions. One of the important objectives in epidemiology is to understand such spatio-temporal dynamics via mathematical and statistical modelling. In this paper, we outline common methodologies that are used to quantify and model spatio-temporal dynamics of plant diseases, with emphasis on developing temporal forecast models and on quantifying spatial patterns. Several examples of epidemiological models in cereal crops are described, including one for Fusarium head blight.     

壳聚糖对黄瓜种子萌发和生长发育的影响

研究了壳聚糖对黄瓜种子萌发和生长发育的影响。结果表明，壳聚糖能促进种子萌发，改善根系的发育，增强超微弱发光强度和过氧化氢酶的活性，最适宜浓度为0.1%和0.05%。     

铅、镉和铬在叶类蔬菜中的累积及对其生长的影响

 研究结果表明: 重金属元素铅(Pb) 、镉(Cd) 、铬(Cr) 对几种叶类蔬菜生长和产量都有明显的影响, 且其影响因蔬菜种类、元素种类和浓度的不同而有很大差异, 叶用莴苣> 苋菜> 芥菜> 菜薹>蕹菜, Cr > Cd > Pb ; 不同蔬菜类型可食部位积累重金属元素的顺序为苋菜> 叶用莴苣> 菜薹> 蕹菜> 芥菜;各元素从营养液向蔬菜体内转移的迁移累积率顺序为Cd > Cr > Pb。随着各元素浓度的增大, 对蔬菜生长的影响和其可食部分的富集量随之加大。     

桃品种需冷量评价模式的探讨

 通过1986～2001年对450余份桃品种需冷量的7．2℃模式、0～7．2℃模式(不包括0℃)和犹它模式比较分析，归纳出桃品种需冷量的评价模式为：以秋季日平均温度稳定低于7．2~C的日期为需冷量测定的起点，以0～7．2℃累积低温值作为需冷量的评价标准比较适宜；犹它模式在中需冷量和长需冷量范围内能有效预测休眠的结束，而不适宜低需冷量品种的测定；7．2℃模式不适宜作为需冷量的评价模式。品种的需冷量与叶芽开放和始花期的相关系数分别为0．52和0．58，均达到极显著水平。提出了桃品种需冷量评价的系列标准参照品种。     

种块大小对生姜生长及产量的影响

本试验条件下,生姜出苗期随种块的增大而提早。幼苗期,较大种块处理的植株长势较旺,但茎叶旺盛生长期后,过大或过小的种块处理都不利于生姜的生长和产量的提高。生姜产量以75 g左右的种块处理为最高,达3 572.4 kg·(667 m2)-1,而100、50、25 g种块处理的生姜产量分别为3 250.2、3 077.9、2 600.1 kg·(667 m2)-1。     

新疆冬小麦农田蒸散估算模型的研究

本文在田间试验资料的基础上，综合考虑了影响冬小麦农田蒸散的气象、生物学特性和土壤水分等因素，选用蒸发力、冬小麦的叶面积指数和相对有效土壤湿度建立了新疆冬小麦农田蒸散估算模型，并且检验了该模型的计算效果。     

景观生态学原理与方法在荒漠化研究中应用的理论分析

荒漠化发生发展的过程实际上是指在自然和人为因素的作用下，生态系统结构遭受破坏、功能过程受阻和演变发生异化的过程，其防治的根本措施是恢复和重建健康的生态系统。所以，景观生态学理念在荒漠化的研究和防治中有着重要的意义。本文从荒漠化与生态系统结构、功能变化、荒漠化与生物多样性、荒漠化生态系统的物质循环和能量流动以及荒漠化生态系统的稳定性等方面论述了景观生态学理念在荒漠化研究中应用的可行性，并重点分析了景观生态学关于景观格局变化的评价指标与荒漠化土地动态变化之间的关系。     

白菜镉积累基因型差异研究

 采用87 个白菜品种, 于春夏和秋冬两生长季节在镉(Cd) 污染土壤中进行植株地上部Cd 积累差异研究。结果表明, 不同品种间镉含量存在极显著差异, 且春夏季高于秋冬季。     

营养液浓度及pH值对山葵生长及光合速率的影响

 探讨了0.5、1.0、1.5 倍日本园试营养液3 种浓度(以清水为对照) 和5.4、6.0、6.6、7.2 等4 种pH 值对山葵生长和光合速率的影响。结果表明, 在营养液1.0 倍和pH 6.0 条件下, 山葵平均根茎鲜质量为42.75 g , 且叶绿素含量和净光合速率显著高于其它处理。