凤庆茶叶种植与混林茶园生态系统研究

中国云南是世界茶树的原产地,而云南省凤庆县又是滇红的诞生地,具有悠久的茶树栽培种植历史,其混林茶园生态系统也具有较高的研究价值。本文通过对其茶叶种植史和混林茶园生态系统进行梳理和研究,厘清凤庆县茶叶种植的历史发展脉络,挖掘凤庆混林茶园生态系统的优势及其应用价值。     

推进种养结合的制约因素及政策建议

随着粮食增产的迫切需求和化肥工业的快速发展,我国种植业与养殖业养分物质循环断裂,推进种养结合成为实现农业绿色发展重要途径。但目前,我国从农户层面以及区域层面都存在着种植与养殖之间的纽带断裂,造成了农业资源利用的错位,也产生了资源环境双重压力。推进种养结合的堵点主要表现在养殖场责任尚未压实、有机肥施用不便利、堆肥质量标准缺失、社会化服务体系不完善等多方面。本文结合对国内和国际上推进种养结合的典型做法的分析,在强化提升国家粮食安全保障能力的大背景下,从优化种养布局规划、压实养殖主体责任、强化科技支撑、培育社会化服务组织等方面提出了当前构建全新的种养循环体系的建议。     

栽培密度对吉杂141群体生理指标及产量的影响

[目的]明确矮秆早熟高粱品种吉杂141在佳木斯地区的合理栽培密度。[方法]以吉杂141为研究对象,在大田生产试验条件下,采用平播的方式,设置15万、20万、25万、30万、35万株/hm2共5个栽培密度,研究不同栽培密度下,吉杂141的群体生理指标、产量及产量性状。[结果]随着栽培密度的增大,叶面积指数增加,叶绿素含量下降,群体光合势和总光合势增加,株高差异不显著,穗长、穗粗逐渐下降,生物产量上升,千粒重和单穗重下降。[结论]初步明确在佳木斯地区采用平播方式吉杂141最适栽培密度为20万株/hm2,产量可达9 203.36 kg/hm2。     

春花生超高产栽培技术模式研究与应用

采取正交旋转回归设计,以播种期、种植密度、施肥量为试验因子,以9000kg/hm2为产量目标函数,进行春花生超高产栽培模式集成研究。结果表明,在鲁西南平原地区,超高产春花生以种植密度和N、P、K施肥量为主要限制因素,播种期为次要限制因素。明确了春花生单产达到9000kg/hm2以上的最佳种植密度、播种期和合理的N、P2O5、K2O施用量为主要指标的栽培技术模式,增产效果显著。     

增密减氮对弱筋小麦‘宁麦13’产量和品质的影响

为实现弱筋小麦优质稳产,解决当前弱筋小麦存在品质稳定性差的问题。本试验以弱筋小麦‘宁麦13’为试材,结合方差分析等方法研究增密减氮对弱筋小麦的产量、群体质量指标以及籽粒品质的影响。结果表明,在240 kg/hm²施氮水平条件下,随着密度的增加,小麦LAI、干物质积累量均呈先增加后下降的趋势,密度超过240×10⁴/hm²会导致LAI、干物质积累量、产量下降。在240×10⁴/hm²密度条件下,施氮量超过240 kg/hm²会导致小麦叶面积指数、SPAD值、花后干物质积累量和产量下降。适当的增密减氮有利于提高弱筋小麦的优质稳产,而过量增密减氮则会导致小麦产量下降,品质不稳定。为实现产量和品质的最优化,生产上推荐采用种植密度为240×10⁴/hm²,施氮量为180 kg/hm²,氮肥运筹为7:1:2:0的栽培模式。     

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.     

Biochar has little effect on soil dissolved organic carbon pool 5 years after biochar application under field condition

Biochar application can improve soil properties, such as increasing soil organic carbon content, soil pH and water content. These properties are important to soil dissolved organic carbon (DOC); however, the effects of biochar on DOC concentration and composition have received little research attention, especially several years after biochar application under field conditions. This study was conducted in a long‐term experimental field where the biochar was only applied once in 2009. The purpose of the study was to investigate the effect of different biochar application rates (0, 30, 60 and 90 t ha^?1) on the dynamics of soil water content, DOC concentration and DOC compositions (reducing sugar, soluble phenol and aromatics) over nine samplings during a 12‐month period in 2014. Our results showed that soil water content and DOC concentration varied from 7.1% to 14.5% and 59 to 230 mg C kg^?1 soil during the 12 months, respectively. However, the biochar application rates did not significantly (p > 0.05) affect soil water content, DOC concentration and DOC composition at the same sampling period. The DOC concentration across the biochar treatments was positively correlated to soil water content. Moreover, the DOC composition (reducing sugar, soluble phenol or aromatics) and their concentrations were positively correlated to the total DOC concentration. In addition, biochar did not affect soil bulk density, pH, saturated hydraulic conductivity and crop yields. The results indicated that some benefits of biochar to soil may not persist 5 years after the application of biochar under a field condition.     

Physiological characteristics of high yield under cluster planting: photosynthesis and canopy microclimate of cotton

Cotton produces more biomass and economic yield when cluster planting pattern (three plants per hole) than in a traditional planting pattern (one plant per hole), even at similar plant densities, indicating that individual plant growth is promoted by cluster planting. The causal factors for this improved growth induced by cluster planting pattern, the light interception, canopy microclimate and photosynthetic rate of cotton were investigated in an arid region of China. The results indicated that the leaf area index and light interception were higher in cluster planting, and significantly different from those in traditional planting during the middle and late growth stages. Cotton canopy humidity at different growth stages was increased but canopy temperatures were reduced by cluster planting. In the later growth stage of cluster planting, the leaf chlorophyll content was higher and the leaf net photosynthetic rate and canopy photosynthetic rate were significantly increased in comparing with traditional planting pattern. We concluded that differences in canopy light interception and photosynthetic rate were the primary factors responsible for increased biomass production and economic yield in cluster planting compared with the traditional planting of cotton.     

透光抚育对“栽针保阔”红松林中红松生长过程的影响

[目的]通过研究长白山地区不同透光抚育强度下"栽针保阔"阔叶红松林中红松的生长情况,揭示透光抚育对"栽针保阔"红松林中红松生长过程的影响规律,旨在为阔叶红松林的恢复、经营提供有力的科学依据。[方法]研究5种透光抚育(未采伐对照、低度择伐、中度择伐、强度择伐及上层皆伐)对红松生长的影响。[结果]红松在群落中的地位随着透光抚育强度的增大逐步得到提升,同时透光抚育能够显著提高"栽针保阔"红松林内红松优势木(63.4%~146.5%、64.6%~158.6%)、平均木(57.9%~271.1%、42.5%~261.7%)和被压木(56.5%~182.6%、95.5%~245.5%)的树高和胸径,且呈现出随透光抚育强度的增大而递增的规律性。[结论]透光抚育能显著提高红松树高和胸径生长。     

Cause and Consequence in Maize Planting Dates in Germany

An important part of agricultural adaptation is the timing of crop sowing dates, affecting yields and the level of risk incurred during a particular season. Cold stress is especially relevant in maize, Zea mays L., so that the timing of planting in the spring is a tactical response to short‐term weather, but is also subject to strategic planning with regard to longer‐term climate. Both factors compare the potential implications of cold stress to the additional yield obtainable through earlier planting. New cultivars suited to growing conditions in Europe and generally increasing spring temperatures have enabled earlier planting, but it is still dependent on short‐term weather during the planting period. In the context of field‐level decision‐making, a panel regression is used to estimate the relationship between weekly local temperature and precipitation and planting dates at specific sites throughout Germany. Next, localised weather data and planting behaviour are linked to yields at the district (Landkreis) level to show the effects of planting date on yield. Based on these relationships optimal planting dates are explored with some associated costs and benefits. Results show a trend towards earlier planting that follows observed increasing spring temperatures and the availability of more cold‐tolerant cultivars but this advance is buffered by the increasing severity of minimum temperatures during a critical period. Earlier planting potentially increases yield but this is offset by additional management costs and risk. A robust and simple depiction of farmer behaviour in climatic, technological and economic context can help to understand trends in crop management and productivity that effect agricultural landscapes.