水稻两段栽培技术在浉河区生产上的应用成效

介绍了水稻两段栽培技术的原理和方法,以及信阳市浉河区推广水稻两段栽培技术在减肥控氮、节本增效等方面取得的主要成效和主要做法。     

复合潜流人工湿地对农村生活污水的净化效果 及其微生物群落结构特征

试验探究了复合潜流人工湿地对农村生活污水的净化效果及其微生物群落结构特征。结果表明，当水力负荷为0.35 m³·(m²·d）^-1时，系统对TN、NH₄⁺-N、COD和TP去除效率分别为（89.84±7.64）%、（98.67±1.31）%、（61.63±16.01）%和（70.21±8.00）%。湿地中一共发现11个主要菌门、18个主要菌纲和33个主要菌属，变形菌门（Proteobacteria）、蓝藻门（Cyanobacteria）、拟杆菌门（Bacteroidetes）、厚壁菌门（Firmicutes）、绿弯菌门（Chloroflexi）、酸杆菌门（Acidobacteria）、放线菌门（Actinobacteria）是其中的优势菌门，它们在各级湿地中表层和底层的相对丰度分别是57.26%、61.37%、91.60%、93.22%、88.78%、88.02%。蓝藻菌纲（Cyanobacteria）、α-变形菌纲(Alphaproteobacteria) 、芽孢杆菌纲(Bacilli)和γ-变形菌纲(Gammaproteobacteria)、β-变形菌纲(Betaproteobacteria)是其中优势菌纲，约占主要菌纲的70%。共有17个优势菌属，在各级湿地中的分布情况不同，其中芽孢杆菌属（Bacillus）相对丰度最高，集中分布于第三级湿地，其次是Leptolyngbya、席藻属（Phormidium），在第一、二级湿地中广泛分布。复合潜流人工湿地具有良好污水净化效果，系统中有机物和氮素的去除主要依靠微生物作用，磷素的去除主要依靠基质吸附沉淀作用。     

华南地区主要蔬菜磷钾肥料利用率研究现状

总结了近年来在华南地区主要蔬菜生产区进行的田间试验结果,分析了施磷钾肥对叶菜、瓜类、豆类蔬菜产量和养分吸收的影响,以及目前条件下华南地区蔬菜磷钾肥的偏生产力、农学效率、肥料表观利用率、生理利用率、肥料贡献率和地力贡献率。结果表明,叶菜、瓜类和豆类蔬菜施用磷钾肥均能促进蔬菜产量的增加和磷钾养分的吸收。叶菜、瓜类、豆类蔬菜磷肥偏生产力分别为781.9 kg/kg、257.6 kg/kg、211.9 kg/kg,农学效率为30.5 kg/kg、64.1 kg/kg、23.1 kg/kg,表观利用率为17.2%、9.7%、6.1%,生理利用率为222.3 kg/kg、370.6 kg/kg、292.7kg/kg,肥料贡献率为16.4 %、19.4%、12.9%,地力贡献率为83.6 %、80.4%、87.1%。叶菜、瓜类、豆类蔬菜钾肥偏生产力分别为298.8 kg/kg、164.3 kg/kg、165.8 kg/kg,农学效率为29.5 kg/kg、39.5 kg/kg、25.8 kg/kg,表观利用率为24.8%、24.3%、13.0%,生理利用率为152.3 kg/kg、218.6 kg/kg、229.1kg/kg,肥料贡献率为13.8 %、21.6%、17.4%,地力贡献率为86.2 %、78.3%、82.6%。分析肥料利用率分布频率可以看出,磷肥表观利用率＜20%的试验样本和钾肥表观利用率＜30%的试验样本均占总样本的80%以上,表明目前试验条件下各类蔬菜的磷钾肥利用率较低,生产上需同时解决蔬菜产量及肥料利用效率提高的问题。     

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。     

磷酸铵镁堆肥产品养分释放特性及其肥效研究

为了研究磷酸铵镁堆肥产品的氮磷养分释放特性及其肥效,分别采用土柱淋溶方法及盆栽试验研究了磷酸铵镁堆肥(MAPC)产品的氮磷养分释放特性及对油菜的肥效,并与普通化肥(CCH)、普通堆肥(CCO)、磷酸铵镁肥(MAP)3种肥料进行对比。结果表明:在整个淋溶过程中,CCH和MAPC处理淋溶液的总氮及总磷浓度均较其他处理高;MAP肥具有缓释性,且堆肥对其养分释放具有促进作用;CCO处理的养分释放最慢。在最后一次淋洗(即第5次)后,总氮及总磷养分浓度排序均为:CCHMAPCMAPCCO。盆栽试验18 d后油菜快速生长,且与对照(不施肥)处理相比,MAP和MAPC处理能显著提高油菜的株高及生物量。在45 d盆栽试验结束时,CCH、CCO、MAP和MAPC处理的生物量分别是对照处理的14.8、4.8、20.5倍和16.0倍。MAP处理能显著提高油菜的养分含量,TN和TP含量分别比对照提高了2.24 g·kg~(-1)和1.54 g·kg~(-1)。研究表明,4种肥料均可改善油菜的生长发育情况,且MAP和MAPC的肥效优于CCH和CCO,在堆肥中利用鸟粪石结晶原理可固定部分氮磷元素,提高堆肥产品肥效。     

施肥对灌漠土作物产量、土壤肥力与重金属含量的影响

有机物还田是提升土壤肥力的主要措施,但也存在造成土壤金属污染的潜在风险。为查明不同有机物还田对土壤质量及作物产量的影响,本文通过长期定位试验,研究了无肥对照、常规施化肥(氮磷配施)以及70%常规化肥与牛粪、沼渣、污泥、鸡粪、菌渣和猪粪配施对土壤理化性状、有机碳和氮的固存率、氮磷钾活化系数、作物产量及重金属含量的影响。结果表明:牛粪、沼渣、污泥、菌渣、鸡粪和猪粪与70%化肥配施虽作物产量与常规施化肥相似,但6种有机物处理土壤有机质、全氮和碱解氮含量都较常规施化肥处理显著增加,污泥、鸡粪和猪粪处理土壤全磷与速效磷含量较常规施化肥处理显著增加,而且牛粪、沼渣、鸡粪和猪粪处理的速效钾、土壤磷活化系数和土壤钾活化系数较常规施化肥处理也显著提升。牛粪、沼渣、污泥、菌渣、鸡粪和猪粪处理土壤有机碳固存率为36.42%～71.61%,较常规施化肥处理都显著提高;而其氮固存率为6.47%～49.44%,仅有菌渣处理与常规施化肥处理差异不显著,而其他处理较常规施化肥处理显著增加。长期施鸡粪和菌渣处理的土壤铜含量较常规施化肥处理显著增加,增加量分别为4.17mg·kg~(-1)和14.2mg·kg~(-1);而污泥、鸡粪和菌渣处理的土壤锌含量较常规施化肥处理显著增加,增加量分别为13.53 mg·kg~(-1)、22.60 mg·kg~(-1)和49.73mg·kg~(-1)。综上,等有机质(4 500kg×hm~(-2))的牛粪、沼渣、污泥、菌渣、鸡粪和猪粪可替代30%氮磷肥,作物产量不受影响;不同有机物培肥土壤效果为污泥、鸡粪和猪粪优于牛粪和沼渣,而沼渣的培肥效果略差。为保证土壤环境质量稳定不恶化,种植小麦时有机物铜和锌的年携入量应分别低于53.01g×hm~(-2)和221.30 g×hm~(-2),而种植玉米时应分别低于153.40 g×hm~(-2)和347.04 g×hm~(-2)。     

安徽省作物养分供需分析及化肥减施潜力研究

有机-无机相结合的农田养分管理模式是现阶段中国发展绿色农业的必由之路,因而开展有机、无机养分和作物养分需求的比较研究对促进养分资源的合理分配和施用具有重要的参考价值。本文采用文献调查和统计分析的方法,评估了安徽省16市2010—2016年主要有机肥(包括秸秆、粪便、绿肥和饼肥)的养分资源,明晰了安徽省农业生产中有机、无机养分投入现状,并根据农业种植结构开展了有机、无机养分和作物养分需求的差异和关系研究,最后探索了安徽省的化肥减施潜力。结果表明:安徽省2010—2016年平均有机肥养分资源为287.70万t,N、P_2O_5和K_2O分别为104.49万t、39.60万t和143.61万t,可基本满足作物的养分需求;但有机肥的当季利用率低,N、P_2O_5和K_2O的当季利用率分别为21.44%、19.91%和52.61%,有机肥N、P_2O_5和K_2O实际还田量仅占作物养分需求的20.74%、25.38%和63.61%,占农田养分总投入的比重分别为11.87%、10.27%和51.35%。全省N、P_2O_5、K_2O养分实际投入量(包括有机肥和化肥)是作物养分需求的1.75倍、2.47倍和1.24倍,有7个市的N和13个市的P_2O_5养分施用量超过作物需求的2倍,存在较高的环境污染风险。通过控制农业总养分输入,安徽省的化肥减施潜力为35.12%,N、P_2O和K_2O的减施潜力分别为21.28%、23.97%和78.61%。提高有机肥的当季利用率和发展冬季绿肥资源可进一步促进化肥减施。本研究可为安徽省化肥零增长和农牧业的绿色可持续发展提供数据参考。     

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.     

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.     

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.