新疆机采棉花实现叶片快速脱落需要的温度条件

随着机采棉的快速推进,籽棉含杂率过高导致清理工序过多及纤维不必要的损伤。新疆棉区棉花生长后期的热量资源有限,如何合理喷施脱叶催熟剂是改善原棉品质的关键技术措施。本研究采用分期喷施脱叶催熟剂的方式,探讨了温度变化对棉花叶片脱落率的影响及实现棉花叶片快速脱落需要的温度条件。结果表明,在喷施脱叶催熟剂后(7.0±1.0)d内,棉花叶片脱落率最高,达55%～79%,且与最高温度和每日≥12°C有效积温呈显著的线性关系。若要在喷施脱叶催熟剂后(7.0±1.0)d内实现55%的叶片脱落率,则应满足该时间段最高温度大于27.2°C、每日≥12°C有效积温大于7.0°C·日的要求。因此,喷施脱叶催熟剂后(7.0±1.0) d内是实现良好脱叶效果的关键时间段,期间的最高温度和每日≥12°C有效积温则是影响的关键因素。     

一种改进的CRLP最大许用操作压力设计方法

与传统管线钢管相比,复合材料增强管线钢管(CompositeReinforcedLinePipe,CRLP)具有承压能力高和质量轻等优势,但对其压力设计的研究尚不充分。CSAZ662-2015《油气管道系统》和GB/T35185—2017《石油天然气工业用复合材料增强管线钢管》中最大许用操作压力的设计思路不同,且设计结果差别较大。针对此问题,基于组合薄壁圆筒模型对承压CRLP进行分析,对最大许用操作压力下材料的名义许用应力和真实许用应力进行了区分,进而导出真实许用应力的显式表达形式,并以此作为设计安全裕度的评价指标。分析表明:现有规范和标准中的设计公式均无法保证管线钢和复合材料的真实许用应力为常量,对应两种设计方法,各组分材料的真实许用应力均随CRLP规格差异而发生变化,并且随着试压/预应力处理的历程而改变。基于上述分析和CRLP极限状态下的承载特征,提出一种改进的压力设计方法。新方法优先保证复合材料的真实许用应力为常量,并可由设计系数直接确定;在最大许用操作压力的计算中,考虑了加载历程的影响,物理意义明确。算例表明,其设计安全裕度较现有方法更为合理,对于CRLP压力设计的改进有参考价值。     

Polymerisation of gluten proteins in developing wheat grain as affected by desiccation

The breadmaking quality of wheat is affected by the composition of gluten proteins and the polymerisation of subunits that are synthesised and accumulated in developing wheat grain. The biological mechanisms and time course of these events during grain development are documented, but not widely confirmed. Therefore, the aim of this study was to monitor the accumulation of gluten protein subunits and the size distribution of protein aggregates during grain development. The effect of desiccation on the polymerisation of gluten proteins and the functional properties of gluten were also studied. The results showed that the size of glutenin polymers remained consistently low until yellow ripeness (YR), while it increased during grain desiccation after YR. Hence, this polymerisation process was presumed to be initiated by desiccation. A similar polymerisation event was also observed when premature grains were dried artificially. The composition of gluten proteins, the ratios of glutenin to gliadin and high molecular weight-glutenin subunits to low molecular weight-glutenin subunits, in premature grain after artificial desiccation showed close association with the size of glutenin polymers in artificially dried grain. Functional properties of gluten in these samples were also associated with polymer size after artificial desiccation.     

A rapid extensigraph protocol for measuring dough viscoelasticity and mixing requirement

The extensigraph is particularly useful in characterizing dough viscoelastic properties; however, testing throughput for standard method is low due to the prerequisite for farinograph water absorption, long dough resting and milling to prepare large amounts of flour. Therefore, a rapid extensigraph method was developed that reduced sample size (165 g wheat) for milling and more than tripled throughput. Wheat is milled in Quadrumat Junior mill with a modified sieving system. The resulting flour (100 g) was mixed with a pin mixer at constant water absorption to allow the evaluation of wheat genotypes at the absorption level they are expected to perform. Dough was subsequently stretched by an extensigraph after 15 min of floor time and 30 min resting. Strong correlations for extensigram R_max (r > 0.93), extensibility (r > 0.64) and area (r > 0.88) were found for the proposed method compared to the standard method. Mixing parameters (time and energy) obtained during dough preparation provided further information about dough strength and mixing requirement. By significantly reducing sample size requirement and increasing testing throughput, this rapid extensigraph method can be widely adopted in milling and baking industry and meets the need for a fast evaluation of dough strength in breeding trials.     

A stochastic surplus production model in continuous time

Surplus production modelling has a long history as a method for managing data‐limited fish stocks. Recent advancements have cast surplus production models as state‐space models that separate random variability of stock dynamics from error in observed indices of biomass. We present a stochastic surplus production model in continuous time (SPiCT), which in addition to stock dynamics also models the dynamics of the fisheries. This enables error in the catch process to be reflected in the uncertainty of estimated model parameters and management quantities. Benefits of the continuous‐time state‐space model formulation include the ability to provide estimates of exploitable biomass and fishing mortality at any point in time from data sampled at arbitrary and possibly irregular intervals. We show in a simulation that the ability to analyse subannual data can increase the effective sample size and improve estimation of reference points relative to discrete‐time analysis of aggregated annual data. Finally, subannual data from five North Sea stocks are analysed with particular focus on using residual analysis to diagnose model insufficiencies and identify necessary model extensions such as robust estimation and incorporation of seasonality. We argue that including all known sources of uncertainty, propagation of that uncertainty to reference points and checking of model assumptions using residuals are critical prerequisites to rigorous fish stock management based on surplus production models.     

A new lean no time test baking method with improved discriminating power

In response to customer concerns related to gluten strength in commercial baking, the Canadian Grain Commission assessed whether the Canadian Short Process (CSP) test bake method was generating useful data related to intrinsic strength of wheat varieties. Assessment of CSP loaf volume data for Canadian variety trials spanning 2003 to 2013 showed very little correlation with dough strength parameters as measured by farinograph and extensigraph. A lean no time (LNT) test baking method was developed that can better discriminate genotypes and provide objective indicators of the effect of intrinsic dough strength on baking quality. From early method development, through method validation and verification using diverse sets of samples targeting different Canadian wheat classes and grown in three different crop years, results showed the LNT method to be more discriminating and easily adopted by other laboratories. In 2015, the LNT method was adopted as the method of choice in future Canadian variety registration trials. The LNT method is fast, simple and well-suited to high throughput test baking conditions encountered in the evaluation of large numbers of breeder lines. A new objective parameter, loaf top ratio, was also introduced and found to correlate well with dough strength and dough handling properties.     

Quantifying key model parameters for wheat leaf gas exchange under different environmental conditions

The maximum carboxylation rate of Rubisco(V_(cmax)) and maximum rate of electron transport(J_(max)) for the biochemical photosynthetic model, and the slope(m) of the Ball-Berry stomatal conductance model influence gas exchange estimates between plants and the atmosphere. However, there is limited data on the variation of these three parameters for annual crops under different environmental conditions. Gas exchange measurements of light and CO_2 response curves on leaves of winter wheat and spring wheat were conducted during the wheat growing season under different environmental conditions. There were no significant differences for V_(cmax), J_(max) or m between the two wheat types. The seasonal variation of V_(cmax), J_(max) and m for spring wheat was not pronounced, except a rapid decrease for V_(cmax) and J_(max) at the end of growing season. V_(cmax) and J_(max) show no significant changes during soil drying until light saturated stomatal conductance(gssat) was smaller than 0.15 mol m~(–2) s~(–1). Meanwhile, there was a significant difference in m during two different water supply conditions separated by gssat at 0.15 mol m~(–2) s~(–1). Furthermore, the misestimation of V_(cmax) and J_(max) had great impacts on the net photosynthesis rate simulation, whereas, the underestimation of m resulted in underestimated stomatal conductance and transpiration rate and an overestimation of water use efficiency. Our work demonstrates that the impact of severe environmental conditions and specific growing stages on the variation of key model parameters should be taken into account for simulating gas exchange between plants and the atmosphere. Meanwhile, modification of m and V_(cmax)(and J_(max)) successively based on water stress severity might be adopted to simulate gas exchange between plants and the atmosphere under drought.     

基于MaxEnt模型的新疆红枣生态适宜性与区划分析

【目的】 结合种植区资源分布现状,利用最大熵模型(MaxEnt)预测新疆红枣潜在适生区,为新疆红枣区域布局和种植结构调整提供有效的理论指导和依据。【方法】 以年降水量、花期降水量(5~6月)、成熟期降水量(9~10月)、年有效积温(≥10℃)、年极端最低气温和平均气温6个气候因子和绿洲灌溉区、沙漠敏感区2个土地因子及高程因子为环境变量,利用GIS空间分析技术获取新疆红枣地理分布数据,采用MaxEnt模型进行建模并预测新疆红枣潜在适生区,使用百分比贡献率分析其主要环境因子及生态位参数。【结果】 (1)ROC评价(Receiver Operating Characteristic,ROC)显示MaxEnt模型预测新疆红枣潜在适生区的训练数据集和测试数据集的AUC值分别为0.921和0.904,模拟效果优秀。(2)新疆红枣潜在适生区总面积2 365.939 7×10⁴ hm²,其中最适生区429.350 1×10⁴ hm²,主要分布于新疆南疆的喀什地区、阿克苏地区、和田地区、克孜勒苏柯尔克孜自治州和巴音郭楞蒙古自治州,东疆的吐鲁番市、哈密市。(3)影响新疆红枣生长的主要环境因子是年极端最低气温(35.15%)、绿洲灌溉区(20.77%)、年有效积温(19%)和成熟期降水量(13.27%)。新疆红枣适宜生长在年极端最低气温≥-24.65℃,年有效积温≥3 595℃,成熟期降水量为0.54~7.64 mm,且绿洲灌溉区有助于提高其适生程度。【结论】 新疆红枣潜在适生区呈现环塔里木盆地聚集,低温是其最主要的影响因子。     

欧盟、美国和日本加工农产品中农药残留评估现状

本文介绍了欧盟、美国和日本评估加工农产品中农药残留的数据要求和试验准则,以及开展膳食摄入风险评估和推荐农药最大残留限量(MRL)的方法,汇总了用于农药残留评估的加工农产品及其分类,分析了加工农产品中农药MRL制定现状,为进一步提高我国相关领域技术提供借鉴。比较分析结果表明,欧盟和美国在农药登记资料要求中明确提出了加工试验数据要求并且制定了相应的试验准则,美国在试验准则中描述了加工农产品中农药MRL的推荐原则;美国和日本制定了一定数量的加工农产品中农药MRL,欧盟建立了适用于监管农药MRL的加工因子数据库;欧盟、美国和日本均在相关法规中规定了加工农产品中农药残留的合规性判定。     

Proportionality principle revisited – relationship between application rates and pesticide residue concentrations in food commodities

BACKGROUND

The proportionality principle has been broadly used for over 10 years in regulatory assessments of pesticide residues. It allows extrapolation of supervised field trial data conducted at lower or higher application rates compared to the use pattern under evaluation by adjustment of measured concentrations, assuming direct proportionality between the rates applied and the resulting residues. This work revisits the principle idea by using supervised residue trials sets conducted under identical conditions but with deviating application rates. Four different statistical methods were used to investigate the relationship between application rates and residue concentrations and to draw conclusions on the statistical significance of the direct proportionality assumed.

RESULTS

Based on over 5000 individual trial results, the assumption of direct proportionality was not confirmed to be statistically significant (P > 0.05) using three models: direct comparison of application rates and residue concentrations ratios and two linear log-log regression models correlating application rate and residue concentration or only residue concentrations per se. In addition, a fourth model analysed deviations between expected concentrations following direct proportional adjustment and measured residue values from corresponding field trials. In 56% of all cases, the deviation was larger than ±25%, which represents the tolerance usually accepted for the selection of supervised field trials in regulatory assessments.

CONCLUSION

Overall, the assumption of direct proportionality between application rates and resulting residue concentrations of pesticides was not statistically significant. Although the proportionality approach is highly pragmatic in regulatory practice, its use should be considered carefully on a case-by-case basis. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.