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。     

Genetic analysis and QTL mapping of growth period traits and plant height traits in soybean recombinant inbred lines from Dongnong 47 × PI 317334-B

High and stable yield is the main goal of soybean genetic improvement. In this study, association analysis was used to detect the quantitative trait loci (QTL) for the plant height, and soybean growth period using 182 SSR markers in the RIL population of 136 F_4:8 lines, which developed from a cross between photoperiod-insensitive cultivar ‘Dongnong 47’ and photoperiod-sensitive variety PI317334–B. The results showed that 33 QTLs related to soybean growth period and plant height traits were detected by compound interval mapping, and were located on 12 linkage groups including N, C1, C2, J, D1a, B2, E, G, A2, O, L, I, with the contribution rate of 7.85–33.84%. These QTL loci and linkage markers related to soybean photoperiod sensitivity, would be helpful to identify key genes that control soybean photoperiod sensitivity, and provide an important basis for the breeding of new photoperiod-insensitive soybean varieties based on molecular design breeding.     

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。     

Greater humification of belowground than aboveground biomass carbon into particulate soil organic matter in no-till corn and soybean crops

Quantifying the amount of carbon (C) incorporated from decomposing residues into soil organic carbon (C_S) requires knowing the rate of C stabilization (humification rate) into different soil organic matter pools. However, the differential humification rates of C derived from belowground and aboveground biomass into C_S pools has been poorly quantified. We estimated the contribution of aboveground and belowground biomass to the formation of C_S in four agricultural treatments by measuring changes in δ¹³C natural abundance in particulate organic matter (C_POM) associated with manipulations of C₃ and C₄ biomass. The treatments were (1) continuous corn cropping (C₄ plant), (2) continuous soybean cropping (C₃), and two stubble exchange treatments (3 and 4) where the aboveground biomass left after the grain harvest was exchanged between corn and soybean plots, allowing the separation of aboveground and belowground C inputs to C_S based on the different δ¹³C signatures. After two growing seasons, C_POM was primarily derived from belowground C inputs, even though they represented only ∼10% of the total plant C inputs as residues. Belowground biomass contributed from 60% to almost 80% of the total new C present in the C_POM in the top 10 cm of soil. The humification rate of belowground C inputs into C_POM was 24% and 10%, while that of aboveground C inputs was only 0.5% and 1.0% for soybean and corn, respectively. Our results indicate that roots can play a disproportionately important role in the C_POM budget in soils. Keywords Particulate organic matter; root carbon inputs; carbon isotopes; humification rate; corn; soybean.     

Mass balanced based LCA of a common carp-lettuce aquaponics system

An aquaponics system (AS) is an integrated system that combines a recirculating aquaculture system and a hydroponics system (HS). It is designed to recover nutrients released from fish and transfer them to plants to provide a system more environmentally-friendly than the two systems working separately. As a result, several AS are under development, but little information is available about their overall performances. The aim of this study was to assess nutrient-use efficiency and environmental impacts of an AS, specifically a common carp-lettuce AS located in a greenhouse. Nutrient budgets of nitrogen (N) and phosphorus (P) were calculated and Life Cycle Assessment (LCA) was performed for the AS and for a lettuce Individual Hydroponics System (IHS), similar to the HS of the AS, operating in the greenhouse at the same time. The experiment was performed over a 52-day cycle, which corresponds to the growing time required to harvest marketable lettuce. The nutrient budgets were well balanced, with 24.6% of the N unaccounted-for, most likely due to N2 gas emission, and 6.6% of the P unaccounted-for, most likely due to having underestimated the quantity of sediment. At the beginning of the experiment, N represented 55.9%, 37.1% and 0.1% of the total N input in the formulated feed, stocked fish and lettuce seedlings, respectively. At the end of the experiment, N represented 47.6% and 0.4% of the total N input in the harvested fish and lettuce, respectively. At the beginning of the experiment, P represented 56.94%, 40.20% and 0.03% of the total P input in the formulated feed, stocked fish and lettuce seedlings, respectively. At the end of the experiment, P represented 51.52% and 0.42% of the total P input in the harvested fish and lettuce, respectively. LCA clearly indicated two environmental impact hotspots: the origin of nutrients and energy use. One kg of lettuce growth in the AS clearly had lower environmental impacts than that in the IHS for climate change, acidification, eutrophication, land competition and cumulative energy demand; however, a decrease in water dependence was not observed. The indicator for net primary production use highlighted the dependence of the AS on natural resources, especially fish meal and fish oil. Compared to the use of chemical nutrients in the IHS, the use of nutrients from formulated feed in the AS decreased climate change impact but increased the use of natural resources.     

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.     

氮磷钾用量对宁南旱地马铃薯产量及水肥利用效率的影响

在宁南旱地上利用田间试验研究了氮、磷、钾各4个施肥水平对马铃薯(庄薯3号)产量及水肥利用效率的影响。结果表明,增施氮、磷、钾肥马铃薯产量均呈抛物线型增长,其中氮肥增产幅度最高,其次为磷肥,钾肥最低且与对照无显著差异。施用氮对马铃薯产量构成有显著影响,钾肥有利于块茎膨大。马铃薯氮、磷、钾养分累积量随着施肥量的增加而增加,当季氮、磷肥利用率都随着施肥量的增加先升高后降低,钾肥利用率随施肥量增加而降低。氮、磷、钾肥偏生产力均随着施肥量增加而显著降低(P0.05)。施用氮、磷、钾肥显著提高马铃薯水分利用效率,当氮肥施用量大于240 kg/hm2、钾肥施用量大于135 kg/hm2时水分利用效率降低。不同氮、磷、钾肥水分利用效率增幅分别为19.6%~31.2%、11.2%~12.6%、1.3%~9.5%。本试验条件下,从经济施肥与水分高效利用角度宁南旱地马铃薯氮、磷、钾肥推荐量分别为174.0~189.7、92.2~94.6、113.0~113.7kg/hm2。     

改进RBF神经网络在我国大豆价格预测中的应用研究

我国大豆价格受国内外多种因素共同影响,具有非线性、随机性和高噪音等特点,采用传统数学模型进行预测,不仅分析难度大,预测误差也很大。RBF神经网络以其优良的逼近性能而被广泛应用于非线性时间序列预测之中。本文提出一种基于遗传算法优化RBF神经网络的我国大豆价格预测模型,该模型为多维输入单维输出的多变量预测模型,模型的初始输入由大豆价格的历史数据和相关影响因素数据组成。采用遗传算法对RBF神经网络输入层节点数、基函数中心、扩展常数和输出层权值进行优化,模型可以从初始输入变量中自主选择最合适的输入变量组合作为模型的输入。采用2009-2014年的大豆价格数据进行预测研究,用2009-2013年的数据作为训练集,2014年的数据作为测试集,改进RBF神经网络通过自主识别和选取中国大豆进口量、中国消费者信心指数和进口大豆到港分销价格3个因素作为相关影响因素的输入。结果表明:模型预测精度较高、泛化能力较强,能够很好捕捉大豆价格变化规律,可为大豆市场价格的准确预报提供参考借鉴。     

吉育系列大豆品种生育期组的划分研究

为明确吉育系列大豆品种的生育期组(maturity group,MG)归属,促进不同区域间的科学引种,以15份美国大豆生育期组标准品种为对照,采用以对照品种的生育日数为参照标准和以品种的活动积温为划分标准两种方法,于2013和2014年对95份新近选育的吉育系列大豆品种进行了生育期组划分研究。结果表明:吉育系列品种生育期组介于MG0~MGⅢ组之间,居MGⅡ组的品种最多,MGⅢ组的品种最少。有89份参试材料按两种划分方法结果一致,占参试材料的93.7%;有6份参试材料的两种划分方法结果不在同一组内,占参试材料的6.3%。通过比较各生育期组品种在R1、R7和R8期的持续天数表现,验证了生育期组划分的正确性。综合两年试验结果发现,适宜吉林省大面积种植的早熟、中早熟大豆品种主要归属于MG0和MGⅠ组,中熟、中晚熟品种主要归属于MGⅡ。此研究结果为完善中国大豆生育期组划分系统和实现大豆品种布局的科学化与标准化提供了技术依据。     

双季稻最佳磷肥和钾肥用量与密度组合研究

【目的】为明确磷肥、钾肥用量和移栽密度对双季稻的施用效果,在田间试验条件下研究了不同磷肥用量、钾肥用量和移栽密度组合对江西双季稻产量、产量构成要素及磷肥和钾肥利用率的影响。【方法】本研究采用裂区试验设计研究了不同施磷量和移栽密度、不同施钾量和移栽密度对双季稻产量、磷肥和钾肥利用率的影响。磷肥用量和移栽密度试验中,设4个施磷水平(P2O5 0、60、90、120 kg/hm2,以P0、P60、P90和P120表示)和4种移栽密度(21×104、27×104、33×104、39×104 穴/hm2,以D21、D27、D33和D39表示)组合。钾肥用量和移栽密度试验中,设4个施钾水平(K2O 0、90、120、150 kg/hm2,以K0、K90、K120和K150表示),密度设置同磷肥试验。在水稻成熟期对产量以及产量构成要素进行测定,并分析其磷素和钾素的吸收量和利用率等指标。【结果】磷肥与密度试验中,同一施磷水平下,早稻产量和地上部磷素吸收量随着移栽密度的增加而增加,当施磷量超过60 kg/hm2时,产量和磷素吸收量不再随密度增加而显著增加,磷素吸收利用率(REP)、磷素农学效率(AEP)和磷素偏生产力(PFPP)逐步降低,以P60D39处理组合的产量和磷素吸收利用率最高,分别为5303.9 kg/hm2和24.4%,AEP为29.4 kg/kg; 晚稻则以施磷量在60 kg/hm2和33×104 穴/hm2密度组合的产量和磷素吸收利用率最高,分别为7246.9 kg/hm2和42.4%,AEP为36.2 kg/kg。钾肥与密度试验中,早稻的钾素吸收量随着施钾量的增加而增加,施钾量在120 kg/hm2和39×104 穴/hm2密度组合的处理产量和钾素吸收利用率(REK)最高,分别为6376.3 kg/hm2和67.2%,此时钾素农学效率(AEK)为15.6 kg/kg; 晚稻则以施钾量在90 kg/hm2和33×104 穴/hm2密度组合的处理产量和REK最佳,分别为7025.6 kg/hm2和74.0%,AEK为21.7 kg/kg。【结论】合理的磷肥、钾肥用量和移栽密度可以显著增加水稻单位面积有效穗数和养分累积量,进而增加水稻产量和肥料利用率,但过高的磷肥和钾肥施用会抑制产量的进一步增加。建议本研究区域的早稻采用施磷量在60 kg/hm2、施钾量120 kg/hm2和39×104穴/hm2的密度组合,而晚稻采用施磷量60 kg/hm2、施钾量90 kg/hm2和33×104 穴/hm2的密度组合。