Controlling sprouting in potato tubers using ultraviolet-C irradiance

Legislation limiting the use of chlorpropham (CIPC), the major potato sprout suppressant, has led to a need for new technologies to extend storage life of tubers. Ultra violet C (UV-C) has been used postharvest to reduce disease incidence on many crops, yet its use and efficacy as a sprout suppressant has not been investigated. The aim of this project was to identify the optimum dose and treatment timing of UV-C treatment on potato tubers as an alternative method of sprout suppression to reduce the dependence on chemical sprout suppressants. Up to six potato cultivars over two seasons were treated with varying doses of UV-C ranging from 0 to 30 kJ m⁻² either at harvest or at first indication of dormancy break. The tubers were stored at 9 °C and sprout growth and incidence assessed. Treatment with moderate UV-C doses (5–20 kJ m⁻²) suppressed sprout length and sprout incidence in a range of cultivars. Periderm DNA damage and programmed cell death were not detected in response to any of the UV-C doses. The inactive ABA metabolite, ABA-GE, increased in response to 10 or 20 kJ m⁻² within 72 h of treatment. Multivariate analysis showed a negative relationship between ABA metabolites and sprout growth/incidence during storage. This study found that UV-C reduced sprout growth in potato with no deleterious effects on tuber quality. This suggests potential for further development as an alternative or supplement to conventional sprout suppressant technologies.     

重金属Cd、Pb复合污染对植物生理生化和细胞结构影响的研究进展

我国受重金属污染的土地面积广大,因采矿等造成的环境和土壤重金属污染问题日趋严重。因金属矿床形成特点及开采方式单一等原因,造成Cd、Pb居于重金属复合污染前列。通过总结单一Cd、Pb污染对植物生理生化特征的影响以及Cd、Pb复合污染对植物生理生化及细胞结构的影响等研究进展,明晰土壤重金属Cd、Pb复合污染对植物影响和损害的研究热点,进而探明植物重金属胁迫的生理响应机制。     

Performance of DSSAT-Nwheat across a wide range of current and future growing conditions

Crop models are widely used in agricultural impact studies. However, many studies have reported large uncertainties from single-model-based simulation analyses, suggesting the need for multi-model simulation capabilities. In this study, the APSIM-Nwheat model was integrated into the Decision Support System for Agro-technology (DSSAT), which already includes two wheat models, to create multi-model simulation capabilities for wheat cropping systems analysis. The new model in DSSAT (DSSAT-Nwheat) was evaluated using more than 1000 observations from field experiments of 65 treatments, which included a wide range of nitrogen fertilizer applications, water supply (irrigation and rainout shelter), planting dates, elevated atmospheric CO₂ concentrations, temperature variations, cultivars, and soil types in diverse climatic regions that represented the main wheat growing areas of the world.DSSAT-Nwheat reproduced the observed grain yields well with an overall root mean square deviation (RMSD) of 0.89 t/ha (13%). Nitrogen applications, water supply, and planting dates had large effects on observed biomass and grain yields, and the model reproduced these crop responses well. Crop total biomass and nitrogen uptake were reproduced well despite relatively poor simulations of observed leaf area measurements during the growing season. The low sensitivity of biomass simulations to poor simulations of leaf area index (LAI) were due to little changes in intercepted solar radiation at LAI >3 and water and nitrogen stress often limiting photosynthesis and growth rather than light interception at low LAI.The responses of DSSAT-Nwheat to temperature variations and elevated atmospheric CO₂ concentrations were close to observed responses. When compared with the two other DSSAT-wheat models (CERES and CROPSIM), these responses were similar, except for the responses to hot environments, due to different approaches in modeling heat stress effects.The comprehensive evaluation of the DSSAT-Nwheat model with field measurements, including a comparison with two other DSSAT-wheat models, created a multi-model simulation platform that allows the quantification of model uncertainties in wheat impact assessments.     

冬闲地种草养鹅模式下不同鹅品种生长性能、屠宰性能、肉品质的比较

为比较冬闲地种草养鹅模式下不同鹅品种的生长发育、屠宰性能和肉品质,以28日龄四川白鹅、浙东白鹅、扬州鹅和霍尔多巴吉鹅为研究对象,采取全程草地放牧加补饲方式,每组3个重复,每个重复10只,于70日龄开展屠宰测定和肉品质测定。结果显示:①在整个生长发育期间,四个品种鹅在生长发育前期增重较大,后期趋于缓慢。在生长发育前期(28~49日龄),扬州鹅的周增重均不同程度地高于四川白鹅和浙东白鹅,但在36~42日龄时扬州鹅的体增重低于霍尔多巴吉鹅;在生长发育后期(50~70日龄),扬州鹅的体增重均高于其他三个品种鹅。②扬州鹅的屠宰率高于其他三个品种的鹅;扬州鹅的腹脂率为1.39%,显著低于其他三个品种鹅。③扬州鹅不同部位肌肉中水分含量最低,胶原含量最高;扬州鹅的胸肌中蛋白质含量显著高于其他三个品种鹅。综上所述,扬州鹅可作为种草养鹅的理想品种,研究结果为种草养鹅模式下适宜品种的选择提供了理论依据。     

圆柏对几种农田杂草及作物的化感潜力分析

为探究圆柏（Sabina chinensis）的化感作用，本研究采用培养皿滤纸法研究圆柏叶片浸提液对地肤（Kochia scoparia）、稗草（Echinochloa crusgalli）、藜（Chenopodium album）、反枝苋（Amaranthus retroflexus）、马齿苋（Portulaca oleracea）5种杂草种子和向日葵（Helianthus annuus）、燕麦（Avena sativa）、油菜（Brassica campestris）、荞麦（Fagopyrum esculentum）4种作物萌发和生长的影响，并用圆柏叶片、树枝、树皮粉末和浸提液进行盆栽抑草效果检测。结果表明：圆柏叶片浸提液对5种杂草种子萌发和幼苗生长具有显著的抑制作用，对地肤、藜、反枝苋萌发及生长的化感效应指数均在-0.98以上；盆栽抑草结果表明，圆柏不同部位对5种杂草种子萌发和稗草及反枝苋株高生长均有较好的抑制作用，叶片化感强度大于树皮和树枝，叶片粉末拌土处理抑草效果好于浸提液叶面喷施；对作物的化感作用结果表明，圆柏叶片浸提液稀释1.5倍时，抑制荞麦种子萌发但不影响其株高及根生长，不影响燕麦种子萌发但降低其株高和根长生长，抑制油菜的发芽势和发芽指数但不影响其种子萌发率，促进油菜株高及根长生长，不影响向日葵种子萌发和生长。综上所述，圆柏具有良好的抑草活性，对作物影响较小。     

天然更新伯乐树的生长过程初步分析

解析1株天然林中148年生伯乐树倒木树干，表明其树高连年生长量在65年生时达到最大值，和树高年平均生长量曲线相交于80年生时；胸径连年生长量在70年生时达到最大值，与胸径年平均生长量相交于95-100年生时；而材积连年生长量的最大值出现在80年生时，与材积年平均生长量于135-140年间相交，此时可以认为是伯乐树的材积数量成熟年龄。     

复方中草药添加剂对稻鸭共作模式下成都麻鸭生理效应的影响研究

为研究复方中草药添加剂对稻鸭共作模式下成都麻鸭生长性能、血清生化指标、抗氧化指标及免疫指标的影响,试验选取体重相近、体况健康的15日龄成都麻鸭240只,随机分为4组,每组5个重复,每个重复12只。4组为对照组饲喂基础饲粮;试验1、2、3组在基础饲粮中按照质量比分别添加0.5%(低剂量组)、1%(中剂量组)、2%(高剂量组)的复方中草药,试验期90 d。结果显示:(1)试验1、2、3组的平均日增重分别较对照组提高2.19%、4.34%、4.98%(P<0.05);试验2、3组的料重比分别较对照组降低3.37%、3.63%(P<0.05);(2)试验2组和3组的总蛋白(TP)分别较对照组提高4.20%、6.08%(P<0.05);试验2组和3组的尿素氮(BUN)分别较对照组降低12.72%、16.36%(P<0.05);试验2组和3组的谷草转氨酶(ALT)分别较对照组降低15.84%、19.22%(P<0.05);试验3组的谷丙转氨酶(AST)较对照组降低19.34%(P<0.05);(3)试验2组和3组超氧化物歧化酶(SOD)分别较对照组提高15.80%、20.00%(P<0.05);试验3组的总抗氧化能力(T-AOC)较对照组提高22.37%(P<0.05);(4)三个试验组的IgA、IgM、IgG、IFN-γ、IL-2显著高于对照组(P<0.05),试验2组的肿瘤坏死因子-α(TNF-α)较对照组提高10.06%(P<0.05),试验2组和3的组溶菌酶(LZM)分别较对照组提高6.79%、5.66%(P<0.05)。综上,中草药添加剂能有效提高稻鸭共作模式下成都麻鸭的生长性能、血清生化指标、抗氧化指标及免疫指标,本试验条件下,最佳饲喂剂量为1%。     

Monitoring shrimp growth with control charts in aquaculture

This work proposes a method for the statistical monitoring of the weekly weight of shrimp in a fish farm. The design of control charts for shrimp growth presents several challenges, the main ones being the presence of trend and autocorrelation. Several control charts are proposed, the most efficient being a chart based on the residuals of a second order autoregression whose parameters vary with the week. A control chart with less computational complexity is also provided. It is simply based on growth rates and works well at detecting negative weight changes. Real data from a large shrimp farm has been used for both the design and the evaluation.     

饲料中添加不同水平的发酵豆渣对育肥猪生长性能、屠宰性能及经济效益指标的影响

为研究饲料中添加不同水平的发酵豆渣对育肥猪生长性能、屠宰性能及经济效益指标的影响,采用单因素随机设计试验,选择体重相近的健康育肥猪80头随机分成4组,每组20个重复,每个重复1头,1组饲喂基础日粮为对照组,试验2、3、4组分别在基础日粮中添加5%、10%、15%发酵豆渣,预试验7 d,试验期56 d。结果表明:(1)试验3、4组的平均日增重较1组比分别提高15.5%、14.1%(P<0.05),料重比较1组比分别降低14.7%、11.9%(P<0.05),试验2、3、4组的平均采食量均高于1组(P>0.05);(2)试验2、3、4组的宰前活重、屠宰率高于1组(P>0.05),试验3、4组的瘦肉率、眼肌面积较1组比分别提高12.1%、8.9%、12.3%、8.2%(P<0.05),背膘厚较1组比分别降低8.5%、7.0%(P<0.05);(3)试验3、4组毛利润较1组比分别提高22.4%、18.0%。综上,添加10%发酵豆渣可以提高育肥猪的生长性能、屠宰性能及经济效益。