施肥量对泰兴香荷芋生长及产量效益的影响

通过对泰兴香荷芋施肥量研究,考查了各处理主要生育期的苗情与长势、成熟期子孙芋产量及商品芋产值效益。结果显示:基施腐熟脱水猪粪15t·hm-2,苗期追施(3.1叶)脱水猪粪15t·hm-2+13-10-18高钾复合肥675kg·hm-2的处理子孙芋产量最高为23 421.90kg·hm-2,商品芋效益为88 506.60元·hm-2;基施有机肥7 500kg·hm-2+苗期追施(3.1叶)有机肥7 500kg·hm-2+13-10-18高钾复合肥450kg·hm-2+膨大肥(8.1叶)13-10-18高钾复合肥900kg·hm-2的处理产量相对较高。     

Regional distribution of wheat yield and chemical fertilizer requirements in China

Quantification of currently attainable yield and fertilizer requirements can provide detailed information for assessing the food supply capacity and offer data support for agricultural decision-making. Datasets from a total of 5 408 field experiments were collected from 2000 to 2015 across the major wheat production regions in China to analyze the spatial distribution of wheat yield, the soil nutrient supply capacity(represented by relative yield, defined as the ratio of the yield under the omission of one of nitrogen(N), phosphorus(P) and potassium(K) to the yield under the full NPK fertilizer application), and N, P and K fertilizer requirements by combining the kriging interpolation method with the Nutrient Expert Decision Support System for Wheat. The results indicated that the average attainable yield was 6.4 t ha~(-1), with a coefficient of variation(CV) of 24.9% across all sites. The yields in North-central China(NCC) and the northern part of the Middle and Lower reaches of the Yangtze River(MLYR) were generally higher than 7 t ha~(-1), whereas the yields in Southwest China(SWC), Northeast China(NEC), and the eastern part of Northwest China(NWC) were usually less than 6 t ha~(-1). The precentage of area having a relative yield above 0.70, 0.85, and 0.85 for N, P, and K fertilizers accounted for 52.3, 74.7, and 95.9%, respectively. Variation existed in N, P, and K fertilizer requirements, with a CV of 24.8, 23.9, and 29.9%, respectively, across all sites. More fertilizer was needed in NCC and the northern part of the MLYR than in other regions. The average fertilizer requirement was 162, 72, and 57 kg ha~(-1) for N, P_2O_5, and K_2O fertilizers, respectively, across all sites. The incorporation of the spatial variation of attainable yield and fertilizer requirements into wheat production practices would benefit sustainable wheat production and environmental safety.     

The priority of management factors for reducing the yield gap of summer maize in the north of Huang-Huai-Hai region,China

Understanding yield potential, yield gap and the priority of management factors for reducing the yield gap in current intensive maize production is essential for meeting future food demand with the limited resources. In this study, we conducted field experiments using different planting modes, which were basic productivity(CK), farmer practice(FP), high yield and high efficiency(HH), and super high yield(SH), to estimate the yield gap. Different factorial experiments(fertilizer, planting density, hybrids, and irrigation) were also conducted to evaluate the priority of individual management factors for reducing the yield gap between the different planting modes. We found significant differences between the maize yields of different planting modes. The treatments of CK, FP, HH, and SH achieved 54.26, 58.76, 65.77, and 71.99% of the yield potential, respectively. The yield gaps between three pairs: CK and FP, FP and HH, and HH and SH, were 0.76, 1.23 and 0.85 t ha~(–1), respectively. By further analyzing the priority of management factors for reducing the yield gap between FP and HH, as well as HH and SH, we found that the priorities of the management factors(contribution rates) were plant density(13.29%)fertilizer(11.95%)hybrids(8.19%)irrigation(4%) for FP to HH, and hybrids(8.94%)plant density(4.84%)fertilizer(1.91%) for HH to SH. Therefore, increasing the planting density of FP was the key factor for decreasing the yield gap between FP and HH, while choosing hybrids with density and lodging tolerance was the key factor for decreasing the yield gap between HH and SH.     

我国蔬菜肥料利用率现状与提高对策

我国露地蔬菜种植和设施蔬菜种植养分用量均超过蔬菜生长所需,导致土壤次生盐渍化、肥料利用率低,增加了面源污染风险,在分析这些现状的基础上,对造成蔬菜种植中氮、磷、钾肥料利用率低下的原因进行了分析,如有机肥与化肥施用配比随意性强,搭配不合理;氮、磷、钾肥配施比例不合理;大量元素与中微量元素配合施用不合理;肥料总施用量过大;土壤自身的原因等。并提出了提高肥料利用率的测土与科学配方施肥、有机肥与无机肥合理配合施用、采用水肥一体化技术和土壤调理剂等措施,有望提高我国蔬菜肥料利用率,节约资源,防止面源污染,实现蔬菜生产的可持续绿色发展。     

紫花苜蓿人工草地施肥试验

在辽宁西部坡地上进行紫花苜蓿不同施肥处理试验，经过1年的研究结果表明，在苜蓿人工草地上无论是单一施用氮肥还是复合肥，均可有效地提高牧草产量并取得较为明显的经济效益，其中以每亩施用尿素15 kg和25 kg效果最好，效益最高，每亩可增经济效益分别是40.74元和40.63元。     

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。     

甜菜氮肥的合理施用

综述文献关于氮肥对甜菜的生长、吸收分配规律、生理生化及产质量的影响可知,甜菜生长需要多种营养元素,其中氮素尤为重要,不合理施用氮肥对甜菜的产质量带来很多负面影响;造成资源浪费、环境污染,影响人类健康。提出合理施氮、用氮的途径与策略:第一,因地、因品种、因时制宜,根据测土资料及不同甜菜基因型差异确定施肥种类、配比;根据作物不同生长时期的需肥规律及不同生态条件需要,按需供肥。第二,肥要在水的作用下才能发挥作用、才能更好发挥作用,区域配肥技术与灌溉技术相结合的水肥一体化精准精细灌水施肥技术是甜菜生产高效用肥的必然发展趋势。第三,作物不同养分间具有协同和相互影响作用,因此根据同等重要原则应有机配比。第四,为了提高肥效及利用率,施用缓控释肥,有机无机肥配施,施用微生物肥、生态肥等发挥微生物的促进、协同作用。第五,常规育种与转基因技术结合培育氮素养分高效利用品种。第六,利用现代监测技术手段及应用甜菜生长模型尤其是CERES-Beet模型监测氮等养分的转化、吸收等动态。     

自动施肥系统开发与性能测试

目的 开发一种适应于以固态水溶肥为原料的自动施肥系统,测试分析自动施肥系统性能。方法 主控机采用ARM9电路控制模块可实现对轮灌编组、预搅拌时长、施肥开始与结束时间、施肥持续时长、施肥量等参数的设置;选择以蠕动泵为注肥装置,通过变频器控制注肥泵电机功率的方式控制注肥速率,控制施肥量。对装置核心部件搅拌器额定功率、计量方式、溶肥搅拌参数、排肥速度及固液相比例等主要参数等进行设计与测试。结果 电感脉冲计量方式标准误差最大值1.26%,误差小、性价比好,确定其为本装置采用的计量方式;搅拌器以1.5 Kw额定功率、38 r/min转速搅拌、肥液浓度在1.1~1.3 g/mL、预搅拌时间30 min时,罐内各液位输出肥液浓度值差异不显著(P< 0.05),达到对肥料浓度均匀性的设计要求。结论 将施肥开始前的预搅拌时间设为30 min、搅拌转速设为38 r/min、肥液浓度不高于1.3 g/mL,输出肥液浓度有较好的均匀性,实现精准施肥。     

施用多功能生态肥对番茄生长和经济效益的影响

为了解决敦煌市蔬菜品质差、产量低而不稳的疑难问题,为温室蔬菜安全生产提供技术支撑,进行了多功能生态肥对番茄生长和效益的研究。结果表明:多功能生态肥原料间的主次效应(R)是:B(番茄专用肥,R=26.92)A(有机生态肥,R=24.29)C(土壤消毒杀菌剂,R=12.55);最佳配方组合是:m(有机生态肥)∶m(番茄专用肥)∶m(土壤消毒杀菌剂)=0.818 6∶0.177 4∶0.004 0。施用多功能生态肥与施用传统化肥比较,番茄早疫病发病率和可滴定酸分别降低66.67%和28.00%;株高、生长速度、茎粗、地上部分鲜质量和地上部分干质量分别增加4.45%、3.81%、7.61%、8.40%和6.67%;单果质量、单株果质量、产量、可溶性糖和VC含量分别增加6.23%、9.26%、8.82%、27.46%和23.65%;施肥利润和肥料投资效率分别增加1.84×10~4元/hm~2和1.23元/元。在甘肃省敦煌市肃州镇的温室土壤上施用多功能生态肥,改善了番茄品质,提高了番茄的经济效益。     

永定县烟后作稻氮磷钾肥料效试验研究

采用“3414”田间肥效试验方案,在3个试验点进行烟后作稻田间试验,研究永定县烟后作稻的氮磷钾肥效和最挂施用量.试验结果表明：合理施用氮磷钾肥可有效提高烟后作稻的产量,烟后作稻施用适量氮磷钾肥即处理6,可分别增产20.3％、4.9％和9.0％.在试验条件下,烟后作稻的氮磷钾经济施肥量为N 1116 kg/hm2、P2O531 kg/hm,2、K2O 81 kg/hm2、预计产量7 926 kg/hm2.