不同抗旱措施配施菌肥对河西绿洲土壤改良和制种玉米产量的影响

为探讨地膜覆盖和施用保水剂配施菌肥后河西绿洲土壤微生物数量、酶活性变化及制种玉米产量和水分利用效率的影响,在河西走廊绿洲灌区设置单地膜覆盖(AF)、单施保水剂(AW)、单施菌肥(AB)、保水剂配施菌肥(WB)、地膜覆盖配施菌肥(FB)、露地不施保水剂和菌肥(CK)6个处理,分析制种玉米播种前和收获后0—20,20—40...     

菌根化育苗对玉米生长和养分吸收的影响

【目的】丛枝菌根真菌(arbuscular mycorrhizal fungi,AMF)侵染作物根系形成菌根共生体系对于作物吸收磷具有重要作用,但该结果大多来源于室内受控试验,有限的田间试验因环境条件、试验材料与接种技术等差异致使AMF菌剂应用效果不一。本研究通过玉米菌根化育苗和田间移栽,分析了接种AMF对玉米生长、养分吸收、籽粒产量及养分含量的影响,以期推进菌根技术的实际生产应用。【方法】以自交品系玉米B73为供试作物,于2018年5月至10月在北京市延庆区进行了田间试验。田间小区设置基施磷(+P)和不施磷(–P)处理。供试AMF为Rhizophagus irregularis Schenck&Smith BGC AH01。玉米种子催芽后,分别播入加入AMF菌剂(+M)和菌剂过滤液(–M)的育苗钵内,培养两周后移栽至田间。玉米在田间条件下生长至拔节期时,使用便携式光合仪测定叶片光合速率与气孔导度,取样测定地上部与根部干重和养分元素含量,同时测定菌根侵染率;在玉米完熟期取样,测定籽粒百粒重、籽粒产量及养分含量。【结果】无论田间施磷与否,接菌植株根系的菌根侵染强度和丛枝丰度均显著高于不接菌植株。不施磷情况下,+M处理显著提高了玉米根系干重,玉米生长的菌根依赖性(163.7%)显著高于施磷情形(124.1%)。–P–M处理玉米叶片的光合速率和气孔导度显著低于其他3个处理。–P+M处理玉米叶片的光合参数、玉米地上部和根部磷含量与+P+M均无显著差异。与–P–M处理相比,–P+M显著提高了玉米籽粒产量和百粒重,同时也提高了籽粒中锌、锰、镁等矿质养分的含量,且与+P+M处理相比均无显著差异。【结论】玉米幼苗接种AMF后再移栽到田间,可以显著提高拔节期玉米根系的菌根侵染率,促进玉米地上部和根部对磷及锌、锰和镁的吸收,进而促进玉米的生长,提高籽粒产量和养分含量。本试验条件下,菌根化育苗可以达到与施磷同样的效果,在保障作物不减产的前提下减少磷肥施用量。     

土壤改良剂节水增产效应的田间试验研究

采用田间试验,探讨了施用土壤改良剂对冬小麦的产量及水肥利用效率的影响.结果表明,施加土壤改良剂能降低作物生育期耗水量,提高冬小麦的产量,增加水肥利用效率.在不灌水条件下,施加土壤改良剂1 500 kg/hm~2,能够使冬小麦较对照增产15%,水分利用效率(WUE)提高了21.65%,磷肥利用效率(PUE)较单施磷肥增加2.92%.在灌水33.3 mm的条件下,施加土壤改良剂较对照可增产28.57%,将土壤改良剂与磷肥混施增产可达到42.86%.而且,PUE较单施磷肥增加了11.11%,WUE达到25.06kg/(hm~2·mm).     

作物产量差研究与展望

作物实际产量与潜在产量间存在较大差距,地区间甚至同一地区不同田块间作物产量也存在显著差异,这种现象在世界范围内的农业生产中广泛存在.缩小该差距对于提高粮食产量,确保粮食安全具有重要意义.本文在阐述开展作物产量差研究重要性和必要性的基础上,从产量差的内涵、研究尺度的扩展及分析方法等方面介绍了目前国内外有关作物产量差的研究进展,并综述了作物生长模拟模型在产量差研究中的应用,最后分析了目前作物产量差研究中存在的问题和不足之处,并探讨了未来作物产量差研究的发展方向.     

黄土丘陵区不同土地利用方式降雨产流试验研究

在延安燕沟试验区建立草地、刈割草地、翻耕草地、灌木地、刈割灌木地、翻耕灌木地径流小区,通过对30场人工模拟降雨产流试验中产流历时、径流强度、径流深、入渗率数据的分析,得出草灌地产流历时远大于翻耕地和刈割地。翻耕灌木地径流强度及波动幅度最大,为翻耕草地的1.5倍、草地的3.4倍、灌木地的15.7倍。在各次降雨过程中,草地平均径流深、入渗率分别为17.1 mm和75%,刈割草地为25.3 mm和62%,翻耕草地为38.4 mm和35.6%,灌木地为3.2 mm和97%,刈割灌木地为5.6 mm和92%,翻耕灌木地为46 mm和35%。研究结果表明,植被能有效地拦蓄径流,而对草灌地的破坏可引发黄土丘陵区严重的水土流失。     

基于无人机影像自动检测冠层果的油茶快速估产方法

快速准确的产量估算对油茶经营管理和可持续发展具有重要意义。该研究针对油茶快速估产的应用现状,提出一种基于无人机影像自动检测冠层果的方法用于油茶快速估产。首先借助无人机航拍影像,通过随机抽样选取120株油茶树进行无人机近景摄影和人工采摘称量;然后利用Mask RCNN(Mask Region Convolutional Neural Networks) 网络开展基于近景影像的油茶冠层果自动检测与计数;采用线性回归和K最邻近建立冠层果数与单株果数之间的关系,同时结合研究区典型样木株数和平均单果质量,构建基于冠层果自动检测的估产模型。结果表明：1）无人机超低空近景影像结合Mask RCNN网络能够有效检测不同光照条件油茶果,平均F1值达89.91%;2）同传统卫星遥感相比,基于无人机近景摄影的冠层果自动检测在作物产量估测方面显示出明显优势,Mask RCNN网络预测的冠层果数与油茶样木单株果数之间具有良好的一致性,拟合决定系数R2达0.871;3）结合线性回归和K最邻近构建的模型估产精度均较高,拟合决定系数R2和标准均方根误差NRMSE（Normalized Root Mean Square Error）分别在0.892～0.913和28.01%～31.00%之间,表明基于无人机影像自动检测冠层果的油茶快速估产是一种切实可行的方法。研究结果可为油茶快速估产和智能监测提供参考。     

氮肥减量配施生物炭对稻田有机碳矿化及酶活性影响

氮肥减量配施生物炭对于提升土地生产力、提高土壤碳汇能力以及缓解气候变暖具有重要意义.依托大田试验,设置5个氮肥用量梯度(T0～T4):100％化肥氮,90％化肥氮,80％化肥氮,70％化肥氮,60％化肥氮,采用等氮原则,氮肥减少量用等氮量生物炭替代,以不施肥为对照(CK),结合室内矿化培养,揭示稻田有机碳矿化及酶活性对...     

Effects of Arsenic‐Contaminated Irrigation Water on Growth,Yield, and Nutrient Concentration in Rice

Abstract

A study was undertaken to determine the effects of different concentrations of arsenic (As) in irrigation water on Boro (dry‐season) rice (Oryza sativa) and their residual effects on the following Aman (wet‐season) rice. There were six treatments, with 0, 0.1, 0.25, 0.5, 1, and 2 mg As L^?1 applied as disodium hydrogen arsenate. All the growth and yield parameters of Boro rice responded positively at lower concentrations of up to 0.25 mg As L^?1 in irrigation water but decreased sharply at concentrations more than 0.5 mg As L^?1. Arsenic concentrations in grain and straw of Boro rice increased significantly with increasing concentration of As in irrigation water. The grain As concentration was in the range of 0.25 to 0.97 µg g^?1 and its concentration in rice straw varied from 2.4 to 9.6 µg g^?1 over the treatments. Residual As from previous Boro rice showed a very similar pattern in the following Aman rice, although As concentration in Aman rice grain and straw over the treatments was almost half of the As levels in Boro rice grain. Arsenic concentrations in both grain and straw of Boro and Aman rice were found to correlate with iron and be antagonistic with phosphorus.     

Impact of Boron Deficiency on Changes in Biochemical Attributes,Yield, and Seed Reserves in Chickpea

To determine the effect of boron (B) deficiency on biomass, reproductive yield, metabolism, and alterations in seed reserves of chickpea (Cicer arietinum L.) cv. ‘13.G‐256,’ plants were grown in refined sand until maturity at deficient (0.033 mg L^?1) and adequate (0.33 mg L^?1) B, supplied as boric acid (H₃BO₃). Boron‐deficient plants exhibited visible deficiency symptoms in addition to reduced number of pods and seeds, resulting in lowered biomass and economic yield. Boron deficiency lowered the concentration of B in leaves and seeds, photosynthetic pigments (leaves), Hill reaction activity, starch (in leaves and seeds), and proteins and protein N (in seeds), whereas phenols, sugars (in leaves and seeds), and nonprotein N (in seeds) were elevated. Specific activity of peroxidase (POX) increased in leaves and pod wall and decreased in seeds, while activity of acid phosphate and ribonuclease were stimulated in leaves, seeds, and pod wall in B‐deficient chickpea.     

Lime and Cattle Manure in Soil Fertility and Soybean Grain Yield Cultivated in Tropical Soil

Most tropical soils have high acidity and low natural fertility. The appropriate application of lime and cattle manure corrects acidity, improves physical and biological properties, increases soil fertility, and reduces the use of chemical and/or synthetic fertilizers by crops, such as soybean, the main agricultural export product of Brazil. This study aimed to assess the effects of the combination of the application of dolomite limestone (0, 5, and 10 Mg ha^?1) and cattle manure (0, 40, and 80 Mg ha^?1) on grain yield and the chemical properties of an Oxisol (Red Latosol) cultivated with soybean for two consecutive years. The maximum grain yield was obtained with the application of 10 Mg ha^?1 of lime and 80 Mg ha^?1 of cattle manure. Liming significantly increased pH index, the concentrations of calcium (Ca²⁺) and exchangeable magnesium (Mg²⁺), and cation exchange capacity (CEC) of soil and reduced potential acidity (H⁺ + Al³⁺), while the application of cattle manure increased pH level; the concentrations of potassium (K⁺), Ca²⁺, and exchangeable Mg²⁺; and CEC of the soil. During the 2 years of assessment, the greatest grain yields were obtained with saturation of K⁺, Ca²⁺, and Mg²⁺ in CEC at the 4.4, 40.4, and 17.5 levels, respectively. The results indicated that the ratios of soil exchangeable Ca/Mg, Ca/K, K/Mg, and K/(Ca+Mg) can be modified to increase the yield of soybean grains.