超声提取-离子色谱法测定芹菜中氯量

研究了超声提取-离子色谱法测定芹菜中氯含量的方法。芹菜经超声提取20 min后,以浓度4.5 mmol/L Na₂CO₃和0.8 mmol/L NaHCO₃为淋洗液,经IonPacAG23分离测定。本方法具有快速、灵敏、准确度高,适合于芹菜中氯量的测定。     

复合阻燃剂对杨木胶合板性能的影响

研究以硼酸、磷酸、氯化铵和锰化物为主要成分制备多元素复合阻燃剂,用浸渍法处理杨木单板并压制成胶合板,检测胶合板各项性能。结果表明:该阻燃剂对胶合板的阻燃性能有积极影响,其中热释放速率(HRR)降低26.32%,总释放热(THR)降低90.04%,总烟释放量(TSR)降低68.40%,同时胶合板的甲醛释放量降低了14.82%,说明该阻燃剂不仅有良好的阻燃效果和抑烟效果,还具有一定的甲醛捕捉能力。该阻燃剂对胶合板力学性能有一定的负面影响,板材胶合强度、弹性模量、静曲强度均有一定程度降低,但仍能达到GB/T 9846-2015《普通胶合板》标准要求。     

蜗壳式离心泵外特性仿真与实验研究

为探索不同仿真方法的适用性,对ns=157的单级蜗壳离心泵不同工况的扬程和效率进行定常和非定常计算,并分别分析了定常计算时不同叶片夹角及非定常计算时不同时间步长的影响,通过与实验对比,得到的主要结论有:定常计算仅适用于额定工况外特性仿真,其扬程和效率计算误差分别为4.9%和2.9%,而定常多相位的计算误差分别为7.1%和3.2%;非定常仿真计算时,以4°为时间步长,并间隔20°保存一次计算数据,较好地预测出扬程曲线走势,额定工况扬程和效率计算误差约1.1%和1.8%,但小流量和大流量区间扬程计算误差达到10%左右。因此在水力优化设计时,若只关注高效点位置及其扬程和效率,可采用定常计算,若还关注扬程曲线走势,则应采用非定常计算。     

爱媛28’香橙砧与枳砧在南平市引种表现与评价

2017年引进早熟杂柑品种‘爱媛28’香橙砧和枳砧苗分别在大棚设施和露天进行试种，栽培4年调查比较两个砧木组合的生长表现、丰产性与果实品质，结果表明：‘爱媛28’香橙砧树表现生长势强，冠幅、树高、茎粗、结果枝、秋梢等生长量指标显著大于枳砧树，3a树初产1436 kg/667㎡，4a树2523kg/667㎡，显著高于枳砧4a树初产1809kg/667㎡；大棚种植香橙砧4a树果实10月下旬TSS11-12%，12月中旬TSS可达15%，与枳砧相当，可滴定酸比枳砧略高，两者固酸比均达18以上，口感风味极佳，两者单果重、果形指数、果皮厚度、可食率无显著性差异；未密封大棚4a树体经受2020年寒冬极端低温考验无明显冻害，抗旱抗寒能力中等，易感黑点病和流胶病，大棚种植能很好预防黑点病。综合评价爱媛28枳砧和香橙砧均适合在南平市种植，香橙砧比枳砧早期丰产性稳产性好，收益更高，香橙砧‘爱媛28’设施种植较枳砧更具优势。     

饲养系统和日粮对羔羊屠宰性能和肌肉矿物质含量的影响

文章旨在探讨不同饲养系统和日粮对羔羊生长、屠宰性能及肌肉矿物质含量的影响。试验将平均体重为（13.97±0.55）kg的120只羔羊随机分为3组，每组4个重复，每个重复10只。T1组在室内饲喂基础浓缩料，每天补充100 g稻草，T2组在室内饲喂基础浓缩料，每天补充100 g稻草和锌硒复合矿物质（0.2 mg/d硒，50 mg/d锌），T3组在室外放牧，除了采食苜蓿草外，每天额外补充100 g稻草和100 g燕麦。试验时间为9周。结果：T1和T2组羔羊的末重、日增重、半胴体重、下肢深度、下肢重量、眼肌面积、颈、胸肌、肾重量均显著高于T3组（P＜0.05），但骨盆骨重量显著低于T3组（P＜0.05）。各处理组羔羊的可食用部分和骨盆肌肉重量无显著差异（P＞0.05）。T2组63 d羔羊血液硒含量较T1和T3组分别显著提高了19.83%和25.0%（P＜0.05），血液锌含量较T1和T3组分别显著提高了31.71%和45.91%（P＜0.05）。T3组羔羊肌肉钙含量较T1和T2组分别显著提高了8.79%和5.37%（P＜0.05）。T2羔羊肌肉硒和锌含量较T1和T3组分别显著提高了41.18%、65.52%和38.19%、46.15%（P＜0.05），T2和T3组羔羊肌肉钾含量较T1组分别显著提高了3.27%和4.28%（P＜0.05）。结论：在本试验条件下，放牧羔羊胴体的脂肪含量低于室内饲养的羔羊，室外放牧可以提高肌肉钙和钾含量，但肌肉硒含量降低。 [关键词]饲养系统|羔羊|屠宰性能|矿物质     

饲粮精料水平和蛋氨酸铬添加剂量对舍饲滩羊生长性能、屠宰性能、肉品质和脂肪沉积的影响

本试验旨在探究饲粮精料水平和蛋氨酸铬(Cr-Met)添加剂量对舍饲滩羊生长性能、屠宰性能、肉品质和脂肪沉积的影响。采用2×3双因素试验设计,2个因素分别为饲粮精料水平和Cr-Met添加剂量,其中饲粮精料水平分别设为35%(低精料饲粮,饲粮精粗比为35∶65)和55%(高精料饲粮,饲粮精粗比为55∶45),Cr-Met添加剂量分别设为0、0.75和1.50 g/(d·只)。将60只雄性滩羊羔羊[平均体重为(21±1)kg]随机分配到6个试验组,每组10只。试验期为80 d,其中预试期15 d,正试期65 d。结果显示:1)与低精料饲粮组相比,高精料饲粮组滩羊的平均日增重、屠宰率、背膘厚度、肌内脂肪含量和后腿肉比重显著增加(P<0.05),但料重比与肌肉蒸煮损失、剪切力、pH、亮度(L*)值、红度(a*)值和黄度(b*)值则显著降低(P<0.05)。2)低精料饲粮组滩羊背膘厚度、皮下脂肪厚度、肌内脂肪含量和后腿肉比重随Cr-Met添加剂量的增加而线性降低(P<0.05),但肌肉pH则线性升高(P<0.05)。3)高精料饲粮组滩羊肋肉比重、腰肉比重以及肌肉剪切力和pH随Cr-Met添加剂量的增加而线性升高(P<0.05),而肌内脂肪含量和肌肉a*值则线性降低(P<0.05)。综合本试验测定指标,建议在滩羊养殖中选择精粗比为55∶45的高精料饲粮,Cr-Met的适宜添加剂量为1.50 g/(d·只),且不建议在精粗比为35∶65的低精料饲粮中添加Cr-Met。     

扬州市稻田高效种养模式应用现状及发展对策

近年来,扬州市根据国家农业供给侧结构性调整要求,充分利用自然资源禀赋,开展了多种形式稻田种养模式的示范与推广。本文阐述了扬州市稻鸭共作、稻虾共作以及稻田改作荷藕-虾共作等高效种养模式的应用现状,以单纯种稻为对照,比较了各种模式的生产效益;分析了稻田高效种养模式示范推广过程中存在的主要问题,并提出了促进稻田高效种养模式可持续发展的若干对策。     

Calibration and validation of optical chlorophyll‐measuring devices for use in predicting crude protein concentration in tropical grass herbage

The objective of this experiment was to evaluate the Fieldscout CM 1000 NDVI and Yara N‐Tester as easy‐to‐use and cost‐effective tools for predicting foliar chlorophylls (a, b and total) and crude protein (CP) concentrations in herbage from three tropical grass species. Optical chlorophyll measurements were taken at three stages (4, 8 and 12 weeks) of regrowth maturity in Guinea grass (Panicum maximum) and Mulato II (Brachiaria hybrid) and at 6 and 12 weeks maturity in Paspalum spp (Paspalum atratum). Grass samples were harvested subsequent to optical measurements for laboratory analysis to determine CP and solvent‐extractable chlorophylls (a, b and total) concentrations. Optical chlorophyll measurements and CP concentrations were highly correlated (Yara N‐Tester: r² = 0·77–0·89; Fieldscout CM 1000 NDVI: r² = 0·52–0·84). Crude protein prediction models from the Yara N‐Tester and Fieldscout CM 1000 NDVI accounted for 70–89% and 44–73% CP variability, respectively, in Mulato II and Guinea grass. The Yara N‐tester produced more accurate and reliable CP estimates based on very high concordance correlation coefficient [CCC (0·73–0·91)] and low rMSPE, mean and regression bias. It is concluded that the Yara N‐Tester produces more accurate and reliable CP estimates of tropical pastures.     

Utilizing a DUALEM‐421 and inversion modelling to map baseline soil salinity along toposequences in the Hunter Valley Wine district

In the oldest commercial wine district of Australia, the Hunter Valley, there is the threat of soil salinization because marine sediments underlie the area. To understand the risk requires information about the spatial distribution of soil properties. Electromagnetic (EM) induction instruments have been used to identify and map the spatial variation of average soil salinity to a certain depth. However, soils vary with depth dependent on soil forming factors. We collected data from a single‐frequency and multiple‐coil DUALEM‐421 along a toposequence. We inverted this data using EM4Soil software and evaluated the resultant 2‐dimensional model of true electrical conductivity (σ – mS/m) with depth against electrical conductivity of saturated soil pastes (EC_p – dS/m). Using a fitted linear regression (LR) model calibration approach and by varying the forward model (cumulative function‐CF and full solution‐FS), inversion algorithm (S1 and S2), damping factor (λ) and number of arrays, we determined a suitable electromagnetic conductivity image (EMCI), which was optimal (R² = 0.82) when using the full solution, S2, λ = 3.6 and all six coil arrays. We conducted an uncertainty analysis of the LR model used to estimate the electrical conductivity of the saturated soil‐paste extract (EC_e – dS/m). Our interpretation based on estimates of EC_e suggests the approach can identify differences in salinity, how these vary with parent material and how topography influences salt distribution. The results provide information leading to insights into how soil forming factors and agricultural practices influence salinity down a toposequence and how this can guide soil management practices.