优化水肥与滴头间距组合对日光温室黄瓜生长及产量的影响

为探究水肥耦合+滴头间距对宁夏旱区日光温室春夏茬黄瓜生长、产量、品质和水肥利用率的影响。通过3因素3水平正交试验,利用Logistic方程模拟黄瓜株高变化规律,分析了各时期生长特点;利用极差分析和方差分析,研究了水肥耦合+滴头间距影响主次顺序、显著性及变化趋势,同时结合模糊数学隶属函数法对产量和品质指标进行综合评价,筛选最优组合。结果表明:①不同处理下黄瓜株高“S”形生长过程可分为渐增期、速生期、缓增期3个阶段,可用Logistic方程拟合,且相关系数均高达0.97;②春夏茬日光温室黄瓜在采摘期前3个月产量稳定,分别占总产30.19%、29.22%、28.58%,后1个月急剧下降,占总产12%;③3因素影响产量的顺序为灌水量>施肥浓度>滴头间距,灌水量影响显著,施肥浓度和滴头间距影响不显著,产量最高处理为TR1,达144361 kg/hm²,比最低处理TR9高44.92%。采用模糊隶属函数进行综合评价,TR2表现最好,平均隶属函数值为0.70。确定因素最优水平组合为:灌水量3040.95 m³/hm²、施肥浓度200倍液(740.55 kg/hm²)、滴头间距20 cm,产量为141077.9 kg/hm²。     

高压直流接地极对埋地管道腐蚀的影响和管控思考

高压直流输电、油气长输管道建设促进了全国范围内的能源优化配置,但高压直流接地极放电对埋地管道的强直流干扰问题应该引起足够关注。为进一步加强相关风险管控,回顾中国高压直流输电网的发展历程,对高压直流接地极放电影响管道的典型特点进行分析,结合当前实际提出后续风险管控的发展方向。研究结果表明:邻近油气长输管道路由的高压直流输电线路和接地极对管道的影响具有干扰时间不确定、干扰机理复杂、干扰程度大及缓解困难的特点,是管道当前面临的突出安全风险。高压直流输电网调试或故障运行过程中,接地极单极放电会加速管道腐蚀。后续应从加强沟通协调和联合测试,深化腐蚀机理和规律研究,采取综合治理措施等方面提升检测、研究及治理水平,全方位保障国家能源通道的安全稳定。     

油菜素内酯及配施外源钙对日光温室越冬茬番茄生长、坐果及产量的影响

为检验油菜素内酯(BR)的应用效果,采用大田试验的方法,研究不同浓度BR及其配施外源钙对日光温室越冬茬番茄生长、生理特性变化、坐果及产量的影响。结果表明,在试验浓度范围内,高浓度BR处理对番茄前期株高生长起到一定的抑制作用;适宜浓度的BR处理使株高增加。高浓度BR处理使番茄叶片MDA含量显著增高,且降低可溶性糖含量;适宜浓度的BR处理可降低番茄叶片MDA含量和相对电导率,增加番茄叶片的脯氨酸含量和可溶性糖含量,提高番茄的叶绿素含量。高浓度的BR处理会抑制番茄坐果,降低番茄第1花序的产量;适宜浓度的BR处理可提高番茄各层花序的坐果率,提高番茄产量。BR配施外源钙处理对番茄前期生长、生理指标优化、提高番茄坐果率和产量的加成效应不明显。综上,BR配施外源钙处理的效果不显著,适宜浓度的BR可以单独在日光温室越冬茬番茄生产上应用,以提高番茄的抗逆性和产量。     

酒糟和醋糟营养成分差异及其瘤胃降解特性分析

本试验旨在评价酒糟、醋糟等非常规饲料资源的饲用价值，为酒糟醋糟资源应用于肉牛养殖提供数据参考。试验选用山西不同地区酒糟、醋糟试样5个，试样编号分别为白酒糟、啤酒糟、醋糟1、醋糟2、醋糟3，发酵原料分别为白酒糟（高粱）、啤酒糟（大麦+大米）、醋糟1（高粱+大麦）、醋糟2（大麦+玉米）、醋糟3（高粱+玉米）。通过实验室常规方法测定样品常规营养成分以及利用体外产气法和尼龙袋法评价其饲用价值，同时建立体外法与尼龙袋法测定干物质降解率的回归方程。结果表明：5个样品的干物质（DM）含量为23.25% ~ 42.96%，粗蛋白质（CP）含量分别为啤酒糟（31.84%）>白酒糟（14.58%）>醋糟3（14.40%）>醋糟1（12.21%）>醋糟2（8.46%）。醋糟1的中性洗涤纤维（NDF）、酸性洗涤纤维（ADF）含量均为最高，其次为醋糟2、醋糟3，白酒糟NDF含量最低。啤酒糟的72 h产气量（GP72）显著高于白酒糟（P < 0.05）。体外产气法和尼龙袋法测定的酒糟72 h干物质降解率（IVDMD72、DMD72）显著高于醋糟（P < 0.05）。5个试样的IVDMD72与DMD成正相关，随着降解时间增加其相关性逐渐增加。综上，酒糟的CP含量较高（14.58% ~ 31.84%），醋糟NDF、ADF含量相对较高（59.59% ~ 64.91%，38.78% ~ 54.78%）。结合GP、IVDMD及DMD结果，酒糟消化性能优于醋糟。以IVDMD建立估算DMD的回归公式为DMD72=-19.215+1.645IVDMD72（R2=0.912，P < 0.05）|以IVDMD建立估算DM有效降解率（ED）的回归公式为ED=-12.448+1.045IVDMD72（R2=0.929，P < 0.01）。 [关键词] 醋糟|酒糟|体外产气法|尼龙袋法     

茄果类蔬菜日光温室智能化育苗关键控制技术

为了制定出1套可操作性强的日光温室智能化育苗关键控制技术体系,经实践并结合智能化育苗数据检测控制及管理系统,总结和完善了茄果类蔬菜幼苗不同阶段对温度、基质湿度及光照等的具体要求,最终形成了1套可操作性强的技术体系。     

乡村振兴战略背景下江西省设施蔬菜发展问题与对策

为加快乡村振兴战略背景下江西省设施蔬菜产业发展,实现设施蔬菜增产增效,以江西省乐平、永丰、高安、崇仁、瑞金和樟树等6个农业大县(市)为例,分析了江西省设施蔬菜的发展现状和存在问题,并提出了科学把握发展方向、积极壮大投资主体等5个方面的对策建议,以期为当地设施蔬菜发展提供新的依据与参考。     

A comparison of the effects of carbon dioxide and medical air for abdominal insufflation on respiratory parameters in xylazine-sedated sheep undergoing laparoscopic artificial insemination

AIMS: To determine if abdominal insufflation with medical air will improve oxygenation and ventilation parameters when compared to insufflation with CO₂ in xylazine-sedated sheep undergoing laparoscopic artificial insemination (AI).

METHODS: Forty-seven sheep underwent oestrus synchronisation and were fasted for 24 hours prior to laparoscopic AI. Each animal was randomised to receive either CO₂ or medical air for abdominal insufflation. An auricular arterial catheter was placed and utilised for serial blood sampling. Respiratory rates (RR) and arterial blood samples were collected at baseline, after xylazine (0.1?mg/kg I/V) sedation, 2 minutes after Trendelenburg positioning, 5 minutes after abdominal insufflation, and 10 minutes after being returned to a standing position. Blood samples were collected in heparinised syringes, stored on ice, and analysed for arterial pH, partial pressure of arterial O₂ (PaO₂), and CO₂ (PaCO₂). The number of ewes conceiving to AI was also determined.

RESULTS: Repeated measures ANOVA demonstrated temporal effects on RR, PaO₂, PaCO₂ and arterial pH during the laparoscopic AI procedure (p<0.001), but no difference between insufflation groups (p>0.01). No sheep experienced hypercapnia (PaCO₂>50?mmHg) or acidaemia (pH<7.35). Hypoxaemia (PaO₂<70?mmHg) was diagnosed during the procedure in 14/22 (64%) ewes in the CO₂ group compared with 8/23 (35%) ewes in the medical air group (p=0.053). Overall, 15/20 (75%) ewes in the CO₂ group conceived to AI compared with 16/22 (72.7%) in the medical air group (p=0.867).

CONCLUSIONS AND CLINICAL RELEVANCE: There were no statistical or clinical differences in RR, PaO₂, PaCO₂, pH, or conception to AI when comparing the effects of CO₂ and medical air as abdominal insufflation gases. None of the sheep experienced hypercapnia or acidaemic, yet 42% (19/45) of sheep developed clinical hypoxaemia, with a higher percentage of ewes in the CO₂ group developing hypoxaemia than in the medical air group. Based on the overall analysis, medical air could be utilised as a comparable alternative for abdominal insufflation during laparoscopic AI procedures.     

基于云服务的棚室蔬菜智能终端系统设计与实现——以黑龙江省为研究案例

棚室蔬菜产业在黑龙江省农业转方式、调结构和供给侧改革中占有重要的战略地位。黑龙江省棚室蔬菜生产规模近年来发展较快,技术支撑需求也与日俱增。本研究针对黑龙江省棚室蔬菜发展规模与技术服务支撑能力不匹配的现状,提出了基于云服务的棚室蔬菜智能终端系统及关键技术的实现方法。本研究以专家服务为主、数据挖掘技术为辅,以物联网设备为感知手段、以智能手机为用户终端,利用云服务对知识、资源、物联网数据的整合配置能力,提供蔬菜专家及棚室蔬菜用户对信息获取、存储、分析和决策的高效解决方案。本研究的部分内容已在黑龙江省农业科研部门、企业、蔬菜合作社、农户等不同用户群体中实验应用,能够为专家提供棚室蔬菜生产环境的远程问诊手段,适用于各类棚室蔬菜应用场景。本研究还提出了对大规模应用场景下的技术解决方案建议,可在全国的棚室蔬菜生产中推广应用,实现更广泛高效的专家技术服务支撑。     

我国典型茶区化学氮肥施用与生产运输过程的温室气体排放量估算

基于相关统计数据和文献调研方法,估算了我国14个典型茶区中化学氮肥施用、生产及运输过程中的温室气体排放量。结果表明,化学氮肥施用导致的土壤N₂O直接排放和生产过程中的温室气体排放是茶园化学氮肥消费带来的温室气体主要排放源;14个典型茶区消费的化学氮肥产生的温室气体排放量(以CO₂排放当量计算)为16.81~344.80万t·a^-1,其中贵州、云南、湖北和四川4省的茶园消费的化学氮肥带来的温室气体排放量较高,均超过200万t·a^-1,占全部区域温室气体排放量的59.98%;单位面积温室气体排放量为3.22~9.76 t·hm^-2·a^-1,单位产量温室气体排放量为2.10~12.96 t·t^-1·a^-1、单位产值温室气体排放量0.39~1.90 t·万元^-1·a^-1;总体而言,贵州、云南、湖北、湖南和四川5省的茶园消费的化学氮肥带来的温室气体排放量、单位面积温室气体排放量、单位产量温室气体排放量和单位产值温室气体排放量较高,福建、河南省及重庆市3个茶区相对较低。在茶园化学氮肥施用量控制为300 kg·hm^-2和450 kg·hm^-2两种情景下,茶园生态系统温室气体减排总量为617.07万t·a^-1和228.94万t·a^-1,减排潜力为34.12%和12.66%,减排潜力较大的区域主要有湖北、四川、贵州、湖南和江西等5省。     

Intensive organic vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated management

Intensive vegetable production in greenhouses has rapidly expanded in China since the 1990s and increased to 1.3 million ha of farmland by 2016, which is the highest in the world. We conducted an 11‐year greenhouse vegetable production experiment from 2002 to 2013 to observe soil organic carbon (SOC) dynamics under three management systems, i.e., conventional (CON), integrated (ING), and intensive organic (ORG) farming. Soil samples (0–20 and 20–40 cm depth) were collected in 2002 and 2013 and separated into four particle‐size fractions, i.e., coarse sand (> 250 µm), fine sand (250–53 µm), silt (53–2 µm), and clay (< 2 µm). The SOC contents and δ¹³C values of the whole soil and the four particle‐size fractions were analyzed. After 11 years of vegetable farming, ORG and ING significantly increased SOC stocks (0–20 cm) by 4008 ± 36.6 and 2880 ± 365 kg C ha^?1 y^?1, respectively, 8.1‐ and 5.8‐times that of CON (494 ± 42.6 kg C ha^?1 y^?1). The SOC stock increase in ORG at 20–40 cm depth was 245 ± 66.4 kg C ha^?1 y^?1, significantly higher than in ING (66 ± 13.4 kg C ha^?1 y^?1) and CON (109 ± 44.8 kg C ha^?1 y^?1). Analyses of ¹³C revealed a significant increase in newly produced SOC in both soil layers in ORG. However, the carbon conversion efficiency (CE: increased organic carbon in soil divided by organic carbon input) was lower in ORG (14.4%–21.7%) than in ING (18.2%–27.4%). Among the four particle‐sizes in the 0–20 cm layer, the silt fraction exhibited the largest proportion of increase in SOC content (57.8% and 55.4% of the SOC increase in ORG and ING, respectively). A similar trend was detected in the 20–40 cm soil layer. Over all, intensive organic (ORG) vegetable production increases soil organic carbon but with a lower carbon conversion efficiency than integrated (ING) management.