茶园节能型开沟刀设计与试验

针对茶园机械化开沟减阻减耗需要,设计茶园节能型开沟刀,用于减小茶园开沟时的开沟功耗。通过理论分析确定节能型开沟刀侧切刃与正切刃曲线方程,通过离散元仿真方法确定侧切刃螺旋线终点处滑切角与正切刃在侧切刃平面内展开曲线终点处静态滑切角分别为62°、56°。对设计完成的节能型开沟刀进行田间试验,试验结果表明:在开沟深度为15、20、25 cm时,节能型开沟刀的开沟功耗分别为0.093、0.107、0.128 kW,均小于对照组通用开沟刀的开沟功耗,说明设计的节能型开沟刀在各个开沟深度均能够达到降低开沟功耗的目的。此外节能型开沟刀在不同开沟深度的沟深稳定性系数均大于90%,高于国家标准和对照组通用开沟刀试验结果,说明设计的节能型开沟刀在降低作业功耗的同时,可保证开沟质量。     

基于注意力机制及多尺度特征融合的番茄叶片缺素图像分类方法

针对番茄早期缺素性状不明显及各生长期特征差异较大所导致的特征区域尺寸不一致、难提取、难辩别等问题，提出了一种基于注意力机制及多尺度特征融合卷积神经网络的番茄叶片缺素图像分类方法（Multi-Scale Feature Fusion Convolutional Neural Networks Based On Atte ntion Mechanism，MSFF-AM-CNNs）。首先根据番茄叶片缺素特点提出了多尺度特征融合结构（Multi-Scale Feature Fusion Module，MSFF Module）；其次在DenseNet基础上，结合浅层网络主要提取纹理、细节特征，深层网络主要提取轮廓、形状特征的特点分别提出具有针对性的特征提取方法，通过不同形式引入注意力机制及多尺度特征融合结构，使全局多尺度信息融合多个特征通道、选择性地强调信息特征并达到对特征精准定位的功能；同时引入Focal Loss函数以减少易分类样本的权重。试验结果表明，MSFF-AM-CNNs的平均召回率、平均F1得分、平均准确率较原模型DenseNet-121均大幅提升，其中缺氮和缺钾叶片的准确率分别提高了8.06和6.14个百分点，召回率分别提高了6.31和5.00个百分点，F1得分分别提高了7.25和5.55个百分点，平均识别准确率可达95.92%，具有较高的识别准确率及广泛的适用性，能够满足番茄叶片缺素图像的高精度分类需求，可为植物叶片缺素识别提供参考。     

Otolith elemental characteristics of whitefish (Coregonus lavaretus) from brackish waters of the Gulf of Bothnia,Baltic Sea

To investigate whether European whitefish (Coregonus lavaretus) groups in the brackish (≤7%) Gulf of Bothnia (Baltic Sea) express specific otolith elemental characteristics, concentrations of elements (Ca, Ba, Sr, Zn, Mn, Fe) in whole otoliths were studied by inductively coupled plasma‐optical emission spectrometry. Whitefish (N = 67) were sampled from six different latitudinal sites; four in the sea and two in rivers along the west coast of Finland, and from a fresh water lake for comparison. The concentration of several elements showed significant differences among sampling sites. Otolith Ba concentrations were higher at the northern sampling sites compared to the southern ones, thereby showing negative association to capture‐habitat salinity. In contrast, otolith Sr and Zn concentrations were lower at the northern sampling sites, thereby associating positively to capture‐habitat salinity. Otolith Mn concentrations did not associate with latitude or salinity but markedly varied between sampling sites. Elevated Fe concentrations occurred in fish otoliths from the two northernmost sites. Ca concentrations were at the same levels in otoliths from all whitefish samples. Otoliths of whitefish from the lake had very high Ba and low Sr concentrations compared to concentrations in otoliths from whitefish in the sea and rivers. Our results show that otolith elemental characteristics of whitefish vary considerably at various geographic scales showing high potential for population identification using elemental fingerprints. Analysis of otolith elemental characteristics may therefore provide an efficient tool for the identification of main areas of residence, spawning locations, and migration routes, thus contributing towards the sustainable management of whitefish stocks.     

保水缓释肥料保水性能及养分释放特性

为了明确添加水溶性保水剂(羧甲基纤维素钠、聚丙烯酰胺、聚丙烯酸钠)肥料的保水缓释效果,利用圆盘造粒工艺制备了保水缓释肥料,通过土壤培养和土柱淋溶试验,研究了保水缓释肥料在土壤中的保水性能和养分缓释效果。结果表明:3种保水缓释肥料均具有一定保水性和养分缓释效果,随保水缓释肥料用量增加,土壤最大持水率逐渐增加,土壤水分蒸发率逐渐减小;其中,以添加聚丙烯酸钠的保水缓释肥料保水性能和养分缓释效果最佳,首次淋溶后氮磷钾养分释放率较普通肥料分别减少了50.38%、55.74%、48.37%,当肥料添加量为2%时,土壤最大持水率较纯土壤提高了43.28%,培养至30 d土壤水分蒸发率较纯土壤降低了22.86%。     

氮磷减量与液体有机肥配施对膜下滴灌棉田土壤养分的影响

以新疆膜下滴灌棉田为试材,研究氮磷减量与液体有机肥配施对膜下滴灌棉田土壤养分的影响。试验设11个处理:(1)常规施肥(NP);(2)80%常规施肥(80%NP);(3)80%常规施肥+低量氨基酸有机肥(80%NP+LAA);(4)80%常规施肥+中量氨基酸有机肥(80%NP+MAA);(5)80%常规施肥+高量氨基酸有机肥(80%NP+HAA);(6)80%常规施肥+低量黄腐酸有机肥(80%NP+LFA);(7)80%常规施肥+中量黄腐酸有机肥(80%NP+MFA);(8)80%常规施肥+高量黄腐酸有机肥(80%NP+HFA);(9)80%常规施肥+低量沼液有机肥(80%NP+LBS);(10)80%常规施肥+中量沼液有机肥(80%NP+MBS);(11)80%常规施肥+高量沼液有机肥(80%NP+HBS);分别在蕾期、花期、成熟期采集0～20、20～40 cm土层土壤,测定土壤pH值、有机质、氮、磷、钾等有效养分含量。研究结果表明:(1)蕾期时,80%常规施肥配施高量黄腐酸、沼液有机肥显著降低了0～20 cm土层土壤pH值,并对提高土壤速效氮、速效磷含量效果最好。(2)花期时,80%常规施肥配施高量沼液有机肥对提高0～20 cm土层土壤有机质、速效磷含量效果最好。(3)成熟期时,80%常规施肥配施高量沼液有机肥对降低0～20 cm土层土壤pH值、提高土壤有机质含量效果最好。综上所述,新疆滴灌棉田应用80%常规施肥配施高量沼液有机肥效果最好,是新疆滴灌棉田提高土壤肥力和肥料利用率的有效途径。     

青饲料收获机切碎辊刀具的优化设计及试验

青饲料收获机切碎辊刀具的设计直接影响秸秆的切割质量。刀具与秸秆接触时的受力分析表明，切割力与秸秆的压应力有关，而压应力不仅与秸秆物理特性有关，也与刀刃的倾斜角有关。利用Ansys-Workbench有限元软件进行仿真分析，结果表明,当刀具材料为65Mn、刀具厚度为8 mm、刀尖倾斜角度为30°时，刀具的等效应力最小。以秸秆层厚度、刀具倾斜角、秸秆含水率为试验因素，以切割装置切割秸秆时的扭矩值为试验指标，通过正交试验及交互作用分析，确定了因素对指标影响的主次关系为：A2>C2>B2>A>BC>AC>C>B，当秸秆层厚度7.5 cm、刀具倾斜角度35°、秸秆含水率35%时，刀辊扭矩值最小。验证试验结果表明选取的较优参数组合真实可行。该研究为新型刀具及防堵刀辊的机理研究提供了理论和试验借鉴。     

基质深度及基质袋摆放方式对春季袋培番茄产量、品质和养分吸收的影响

为探究不同栽培深度基质和基质袋摆放对春季袋培番茄产量、品质、养分吸收和基质养分利用率的影响,以‘巴宝丽’番茄为试材,设置不同基质深度(7.5、10.5和13.5cm)及基质袋不同摆放方式(地面摆放和地面下沉20cm),共6个处理,测定了番茄的生长发育、产量、品质和养分吸收等指标。结果表明:栽培基质深度对产量、果实品质均有显著影响;基质袋摆放方式对产量影响不显著,但显著影响果实可溶性蛋白、番茄红素、硝酸盐和有机酸含量;基质深度和基质袋摆放方式对果实硝酸盐含量的影响有显著的交互作用。随着栽培基质深度的增加,产量显著提高,品质明显改善;基质深度13.5cm时,番茄单株产量最高,达3.83kg/株。基质袋摆放方式和基质深度对番茄开花期、初果期及盛果期P和K的累积吸收影响显著,基质深度对番茄开花期、初果期和盛果期N的吸收也有显著影响,基质深度和基质袋摆放方式对开花期和初果期番茄植株N、P和K的累积吸收存在显著的交互作用。基质内N、P和K养分利用率均是基质深度为13.5cm的处理最高,且不同基质袋摆放方式对基质养分利用率无显著影响。综上,为实现省工省力且高产优质载培,在实际生产中推荐将春季栽培番茄的基质深度设置为13.5cm(即基质供应量为9L/株)且地面摆放。     

光氮互作对芹菜幼苗生长及生理特性的影响

光质和施氮量是影响芹菜生长发育的关键因素,适宜的光氮组合能有效提升芹菜幼苗质量。为优化芹菜工厂化育苗,本试验设置2种光质(白光,W;蓝光,B)和2种施氮量(8mmol/L KNO_3,高氮,H;4mmol/L KNO_3,低氮,L),以WH为对照,研究光氮互作对芹菜幼苗生长、生理代谢和元素积累的影响。结果表明:与WH相比,WL和BH处理的芹菜全株干重分别显著减少43.18%和55.07%,WL处理的叶片和叶柄中硝酸盐、可溶性蛋白质和总游离氨基酸质量分数均显著降低,BH处理的叶片和叶柄中硝酸盐、可溶性蛋白质和矿质元素质量分数显著增加,而叶片中可溶性糖、丙氨酸族和丝氨酸族氨基酸质量分数均显著降低。然而BL处理的芹菜全株干重比WH显著增加32.18%,叶片可溶性蛋白质、叶柄组氨酸(His)和脯氨酸(Pro)质量分数均显著增加。利用隶属函数分析对芹菜幼苗生长发育进行综合评价发现,BL处理表现最优。综上所述,蓝光和低氮组合能促进芹菜干物质积累,提高可溶性蛋白质和游离氨基酸质量分数,进而促进芹菜幼苗生长发育。     

Grain yield,nitrogen use efficiency and tillage intensity in wheat as affected by precision nutrient management

ABSTRACT

The present studies were conducted to evaluate the effect of different nutrient management practices under two tillage options in wheat. The experiments were laid out in split-plot design with a combination of two varieties (WH 1105 and HD 2967) and two tillage options (Conventional and No tillage) in the main plot and six precision nutrient management practices [absolute control, site-specific nutrient management with Nutrient Expert for wheat (SSNM-NE)(170 kg nitrogen (N)/ha), SSNM NE+GreenSeeker (GS)(153/158 N kg/ha), N₁₂₀ (120 kg N/ha) before irrigation, N₁₂₀ after irrigation and N Rich (180 kg N/ha)] in subplot replicated thrice. The grain yield and quality characters in no tillage (NT) and conventional tillage (CT) were similar but agronomic efficiency was higher in NT. Both the varieties (WH 1105 and HD 2967) gave similar grain yield and quality. Wheat variety WH 1105 recorded significantly higher sodium dodecyl sulfate sedimentation (SDS) and gluten index. The treatment SSNM NE+GS had resulted in 107.1% higher grain yield than no nitrogen control but similar to enriched N plot (180 kg N/ha). The grain protein, SDS and gluten index in need-based nutrient management (SSNM+GS) treatment were found to be similar as recorded in SSNM-NE (170 kgN/ha) and N enriched plot (180 kg N ha^?1). The agronomic efficiency and recovery efficiency in SSNM+GS were also better than SSNM NE.     

Influence of summer legume residue recycling and varietal diversification on productivity,energetics, and nutrient dynamics in basmati rice–wheat cropping system of western Indo-Gangetic Plains

A field experiment was conducted on summer mungbean residue recycling (SMBRR) and basmati rice–wheat cropping system (BRWCS) at New Delhi, India. The SMBRR enhanced the system productivity and net returns by ～19.1% and 22.1% compared to summer fallow (SF) with highest magnitude under genotypic sequence of P 2511/HD 2967. Two genotypes each in basmati rice (PB 1 and P 2511) and wheat (HD 2967 and HD 2733) responded well to SMBRR with respect to grain yield efficiency index (GYEI) ≥ 1.0. SMBRR also registered ～13.5% higher microbial biomass carbon (MBC) than SF. Soil organic carbon (SOC) storage also increased by ～6.8% in 0–30 cm soil layer. The rice–wheat–summer mungbean system produced significantly highest energy efficiency compared to the rice–wheat–summer fallow system with highest values under genotypic sequence of P 2511/HD 2967 as a result of better yield expression. Overall, SMBRR with suitable genotypic sequence improved the system productivity, profitability, and nutrient dynamics in BRWCS, which are vital for long-term sustainability of this system.