蔬菜高效水肥一体化灌溉技术的实践与发展建议

水肥管理是直接影响蔬菜稳产高产和品质提升的关键因素。总结了我国蔬菜高效灌溉的4种主要模式,介绍了不同种类蔬菜的高效灌溉模式,分析了我国蔬菜高效水肥一体化灌溉技术存在的问题,并提出了发展建议。     

调亏度及调亏历时对苜蓿生物量分配与水分利用效率的影响

本研究的目的在于探讨紫花苜蓿营养生长期调亏滴灌对其节水效果的影响,增加其产量的作用。在北京对分枝期苜蓿品种"皇冠"进行调亏程度和调亏历时对其生长的研究。结果发现,秋播苜蓿进行调亏灌溉应把握适当的调亏度,在调亏度达60%FC、调亏历时为14d时,土壤水分对苜蓿形成干旱胁迫;在调亏度达80%FC时,光合同化物更多向苜蓿地上部分配,同时适当增加调亏历时改变苜蓿根系形态可塑性,有利于其根系伸长生长,提高其水分利用效率。适当的将调亏度与调亏持续时间分别维持在80%FC左右和14~21d,更能实现北京地区苜蓿节水促生长的目的。     

河西荒漠灌区紫花苜蓿施肥效应及其基于数据包络分析法的经济效益研究

为科学准确地评判河西走廊苜蓿主产区紫花苜蓿饲草生产中施肥措施对其产品质量及生产收益的影响,本研究以“甘农3号”紫花苜蓿为材料,通过2016、2017年2年田间试验,以该区域紫花苜蓿饲草生产的平衡施肥推荐方案(N 103.5 kg·hm^-2、P₂O₅ 105 kg·hm^-2、K₂O 90 kg·hm^-2)为对照,探讨了不施肥及3种不完全施肥(缺氮偏施、缺磷偏施、缺钾偏施)处理下紫花苜蓿的生产性能,并采用数据包络分析法(DEA)对其经济效益进行分析。结果表明:与不施肥相比,施肥措施各处理均显著提高紫花苜蓿产量、蛋白总量,降低其酸性洗涤纤维和中性洗涤纤维,提高了相对饲用价值,从而改善了紫花苜蓿品质,并有效增加了经济效益;与氮、磷、钾平衡施肥相比,各偏肥处理的紫花苜蓿产量和品质均显著低于平衡施肥,尤以缺磷偏施的降幅最大,2016、2017年2年的产量和蛋白总量降幅分别达到25.9%、25.7%和33.4%、33.1%。因此,磷是河西荒漠灌区紫花苜蓿饲草生产的养分限制因子,氮、磷、钾对该地区紫花苜蓿生产性能影响顺序为:磷>氮>钾。运用数据包络分析法(DEA)分析出河西荒漠灌区紫花苜蓿的施肥效应为氮、磷、钾平衡施肥的经济效益最优,为DEA有效;不完全施肥的3个评价单元及不施肥评价单元为DEA无效,其中,不施肥经济效益最低,3个不完全施肥评价单元中的缺磷偏肥的紫花苜蓿经济效益比缺氮偏肥和缺钾偏肥更低;另外还以DEA模型推算出不同施肥措施下紫花苜蓿饲草生产经济效益改进的具体方案,其中,不施肥的紫花苜蓿饲草生产需调整的幅度最大,调整额度达10678.88 CNY·hm^-2,各施肥措施需调整的幅度排序为:不施肥>缺磷偏施>缺氮偏施>缺钾偏施。     

提高小麦单产的田间排水暗管规格模拟

改进内蒙古河套灌区田间排水系统的规格对灌区提升作物产量和保障粮食生产有重要现实意义,因此,在河套灌区对所构建的分布式SWAP-WOFOST模型进行了参数率定和验证,然后,对2000—2010年灌区春小麦种植条件下适宜的田间排水暗管规格进行探讨,并模拟评价了该条件下作物产量和水分生产力(WP)的时空分布特征。结果表明,所构建的分布式模型在河套灌区具有较高的适应性。春小麦种植条件下,灌区大部分耕地面积推荐采用田间排水暗管的规格为间距100.0m或75.0m,埋深为2.5m。相比现有排水系统,采用推荐的排水暗管规格,春小麦多年平均作物产量提高了18.5%,多年平均WP提高5.2%。研究结果为进一步改进灌区田间排水系统的效果提供了一定的参考。     

膜下滴灌技术的应用

膜下滴灌技术实现了覆膜种植与滴灌的有机结合,为农业抗旱保产提供技术选择,并在辽宁西部干旱地区得到一定范围的应用。介绍膜下滴灌的技术内容及其系统构成,分析该技术的优点,并结合在阜蒙县的应用验证该技术效果,提出推广建议。     

渗灌次数对西北荒漠灌区紫花苜蓿栽培草地土壤化学性质的影响

渗灌是节水农业中最有效的措施之一,有利于作物产量和水分利用率的提高。本研究以甘肃省金昌市杨柳青公司紫花苜蓿‘艾迪娜’(M.sativa L.‘Aidina’)试验地渗灌区土壤为研究对象,通过田间试验与室内分析相结合的方法,研究不同渗灌次数(0次、1次、2次、3次)对苜蓿出苗期不同土层深度及管距位置土壤化学性质的影响。结果表明:在0~10cm和10~20cm土层深度,pH最高值均出现在管上,较CK升高了8.21%和8.68%,最低值都出现在管中,较CK降低了2.70%和3.37%;2水和3水均能显著提高不同土层深度及不同管距位置的pH值(P0.05)。不同渗灌次数,不同土层深度管中的水溶性盐含量均高于管上和管近,且最大值都出现在1水,较CK分别增加了83.26%和96.34%;不同土层深度,2水的水溶性盐含量平均值都低于1水和3水;不同渗灌次数,不同土层深度,钠离子和钾离子含量的最大值均出现在管中。不同渗灌次数,不同土层深度,管中的水解性氮含量均高于管上和管近,最大值都出现在1水管中,较CK分别增加了112.68%和34.48%。随着渗灌次数的增多,0~10cm土层深度不同管距的速效磷含量均呈现下降趋势,速效钾含量均呈现上升趋势。随着灌水次数的增加,不同土层深度及管位的有机质含量均呈现先上升后下降的趋势,2水显著提高了各位置土壤有机质含量(P0.05)。综上所述,渗灌2次比较好,土壤水溶性盐含量较低且有机质含量较高,利于苜蓿幼苗生长。     

浅析灌溉对作物根系及产量的影响

结合文献资料,从作物根系的水平分布、垂直分布、硝态氮运移及产量等几个方面,概述了不同灌溉量和灌溉方式对作物的影响,分析了滴灌、渗灌等微灌技术的应用。最后,针对经济林木生产的实际现状,进行了展望：探索一种成本低、简单易操作、便于推广应用的灌溉措施更具有理论和实践意义。     

SALTIRSOIL: a simulation model for the mid to long‐term prediction of soil salinity in irrigated agriculture

The SALTIRSOIL model predicts soil salinity, sodicity and alkalinity in irrigated land using basic information on soil, climate, crop, irrigation management and water quality. It extends the concept of the WATSUIT model to include irrigation and crop management practices, advances in the calculation of evapotranspiration and new algorithms for the water stress coefficient and calculation of electrical conductivity. SALTIRSOIL calculates the soil water balance and soil solution concentration over the year. A second module, SALSOLCHEM, calculates the inorganic ion composition of the soil solution at equilibrium with soil calcite and gypsum at the soil’s CO₂ partial pressure. Results from comparing predicted and experimentally determined concentrations, observations and predictions of pH, alkalinity and calcium concentration in calcite‐saturated solutions agree to the second significant figure; in gypsum‐saturated solutions the standard difference between observations and predictions is <3% in absolute values. The algorithms in SALTIRSOIL have been verified and SALSOLCHEM validated for the reliable calculation of soil salinity, sodicity and alkalinity at water saturation in well‐drained irrigated lands. In simulations for horticultural crops in southeast Spain, soil solution concentration factors at water saturation, quotients of electrical conductivity (EC₂₅) at saturation to electrical conductivity in the irrigation water, and quotients of sodium adsorption ratio (SAR) are very similar to average measured values for the area.     

浅谈阜新蒙古族自治县玉米膜下滴灌农艺措施

以玉米膜下滴灌栽培技术研究成果为依据，总结了辽宁省阜新蒙古族自治县东部地区推广应用该成果的具体措施，并提出相应对策。     

Effect of water deficiency on relationships between metabolism,physiology,biomass,and yield of upland cotton(Gossypium hirsutum L.)

Drought is a common abiotic stress that considerably limits crop production. The objective of this study is to explore the influence of water deficiency on the yield, physiologic and metabolomic attributes in upland cotton cultivars(Gossypium hirsutum L). Cotton cultivars, 'Ishonch' and 'Tashkent-6' were selected to study the relationships among their physiologic, metabolomic and yield attributes during water deficiency. Deficit irrigation was designed by modifying the traditional watering protocol to reduce water use. Results indicate that cotton cultivars respond differently to water deficit stress. Water deficit significantly influenced plant height, the number of internodes, and sympodial branches in both cultivars. However, yield components such as the number of bolls, boll seed, lint mass, and individual plant yield were significantly reduced only in 'Tashkent-6'. The leaf area decreased and the specific leaf weight increased in 'Ishonch' under deficit irrigation conditions. However, 'Tashkent-6' demonstrated significant water loss compared to 'Ishonch', and both cultivars showed reduced transpiration rates. Untargeted metabolite profiles of leaves showed clear separation in 'Ishonch', but not in 'Tashkent-6' under deficit irrigation compared to full irrigation. The individual metabolites such as proline and galactinol showed strong association with yield under water deficit stress. Moreover, this study indicates that leaf area and transpiration intensity influence yield during water deficiency. In summary, the correlation among morpho-physiologic, metabolic, and yield components significantly varied between the two cultivars under water deficiency. The flowering stage was sensitive to water stress for both cultivars. The direct relationship between physiology, metabolism, and yield may be a useful selection criterion for determining candidate parents for cotton drought tolerance breeding.