胶冻样类芽孢杆菌对不同施肥处理的马铃薯产量和品质的影响

以‘克新1号’马铃薯为试验材料,试验设置低、中、高3个施肥量处理,在复合肥和有机肥的基础上,每个处理中固体胶冻样类芽孢杆菌微生物菌剂设置4个不同的梯度处理,在马铃薯块茎膨大期冲施定量的液体胶冻样类芽孢杆菌微生物菌剂,探究增施胶冻样类芽孢杆菌微生物菌剂对马铃薯生长指标、产量、品质及经济效益等的影响,旨在找出适合蒲县当地的科学施肥方法,为其马铃薯的高产优质生产提供理论和生产实践依据。结果表明,适量增施微生物菌剂有利于提高马铃薯产量、品质和经济效益等指标,但高浓度的微生物菌剂却抑制马铃薯的生长,在本试验中以低肥量处理下的T2组效果最佳,其株高、出苗率、维生素C含量、产量及净利润比常规施肥组分别提高了6.83%、5.31%、92.11%、27.0%和16.94%,还原糖含量降低了18.42%,是高产优质马铃薯的科学施肥配方及标准化生产技术方案。     

Geostatistical interpolation and aggregation of crop growth model outputs

Many crop growth models require daily meteorological data. Consequently, model simulations can be obtained only at a limited number of locations, i.e. at weather stations with long-term records of daily data. To estimate the potential crop production at country level, we present in this study a geostatistical approach for spatial interpolation and aggregation of crop growth model outputs. As case study, we interpolated, simulated and aggregated crop growth model outputs of sorghum and millet in West-Africa. We used crop growth model outputs to calibrate a linear regression model using environmental covariates as predictors. The spatial regression residuals were investigated for spatial correlation. The linear regression model and the spatial correlation of residuals together were used to predict theoretical crop yield at all locations using kriging with external drift. A spatial standard deviation comes along with this prediction, indicating the uncertainty of the prediction. In combination with land use data and country borders, we summed the crop yield predictions to determine an area total. With spatial stochastic simulation, we estimated the uncertainty of that total production potential as well as the spatial cumulative distribution function. We compared our results with the prevailing agro-ecological Climate Zones approach used for spatial aggregation. Linear regression could explain up to 70% of the spatial variation of the yield. In three out of four cases the regression residuals showed spatial correlation. The potential crop production per country according to the Climate Zones approach was in all countries and cases except one within the 95% prediction interval as obtained after yield aggregation. We concluded that the geostatistical approach can estimate a country’s crop production, including a quantification of uncertainty. In addition, we stress the importance of the use of geostatistics to create tools for crop modelling scientists to explore relationships between yields and spatial environmental variables and to assist policy makers with tangible results on yield gaps at multiple levels of spatial aggregation.     

Improving cereal yield forecasts in Europe – The impact of weather extremes

The impact of extreme events (such as prolonged droughts, heat waves, cold shocks and frost) is poorly represented by most of the existing yield forecasting systems. Two new model-based approaches that account for the impact of extreme weather events on crop production are presented as a way to improve yield forecasts, both based on the Crop Growth Monitoring System (CGMS) of the European Commission. A first approach includes simple relations – consistent with the degree of complexity of the most generic crop simulators – to explicitly model the impact of these events on leaf development and yield formation. A second approach is a hybrid system which adds selected agro-climatic indicators (accounting for drought and cold/heat stress) to the previous one. The new proposed methods, together with the CGMS-standard approach and a system exclusively based on selected agro-climatic indicators, were evaluated in a comparative fashion for their forecasting reliability. The four systems were assessed for the main micro- and macro-thermal cereal crops grown in highly productive European countries. The workflow included the statistical post-processing of model outputs aggregated at national level with historical series (1995–2013) of official yields, followed by a cross-validation for forecasting events triggered at flowering, maturity and at an intermediate stage. With the system based on agro-climatic indicators, satisfactory performances were limited to microthermal crops grown in Mediterranean environments (i.e. crop production systems mainly driven by rainfall distribution). Compared to CGMS-standard system, the newly proposed approaches increased the forecasting reliability in 94% of the combinations crop × country × forecasting moment. In particular, the explicit simulation of the impact of extreme events explained a large part of the inter-annual variability (up to +44% for spring barley in Poland), while the addition of agro-climatic indicators to the workflow mostly added accuracy to an already satisfactory forecasting system.     

Plant growth regulator and its interactions with environment and genotype affect maize optimal plant density and yield

Increasing planting density is important to raise maize yield, however, high density often leads to an increase risk of lodging due to dense canopy and weak stem. Maize yield and optimal plant density are increased by applying plant growth regulator compound of ethephon and DA-6, however, we do not know if this compound would interact with location and genotype. In this study, a novel plant growth regulator, as the synthesis of N, N- diethyl − 2 − hexanoyl oxygen radicals − ethyl amine (2-ethyl chloride) phosphonic acid salt (DHEAP), combining the effects of ethephon and DA-6 in one chemical, was developed and tested at three locations, five plant densities (6.75, 8.25, 9.75, 11.25 and 12.75 plants m⁻²) and three cultivars in 2014–2015. This study aimed to quantify the interactions between environment, genotype and management (Appling DHEAP and plant density) on lodging-related optimal plant density and yield. DHEAP significantly increased grain yield by 10.7% due to the increases of kernel weight by 3.2% and kernel number per ear by 4.4%. On average across genotypes and environments, applying DHEAP increased optimum plant density by 6%. The optimal plant density interacted with cultivar, DHEAP and environment. Applying DHEAP reduced lodging percentage by lowering ear height. The yield-lodging relationship was affected by genotype and location. We concluded that maize yield could be enhanced by optimizing plant density, applying DHEAP and cultivar selection, but climatic and environmental differences of locations should be considered.     

几种缓释肥在盐碱地区夏玉米栽培中的应用研究

[目的]为玉米生产提供技术指导。[方法]采用田间试验，研究4种玉米专用缓释肥对夏玉米的影响。[结果]4种缓释肥处理的增产效果都好于常规施肥，增产幅度为1．O％～24．8％。[结论]效果最好的是芭田复合长效I型缓释肥，比常规施肥增产24．8％。     

调环酸钙25%悬浮剂对直播稻抗倒伏和产量性状的影响

为了研究新型植物生长调节剂调环酸钙在直播稻上的应用效果,本研究设计了调环酸钙25%悬浮剂在直播稻武运粳8号上的田间试验,用来了解其对直播稻的抗倒伏性状和产量性状的影响。试验结果表明:在直播稻武运粳8号的分蘖期使用调环酸钙25%悬浮剂12~15g/667m2均能够显著降低水稻的株高,缩短茎基部节间长度,提高水稻的抗倒伏能力,同时也能显著提高水稻产量。     

减少底肥施用量增加叶面施肥次数对玉米产量的影响

该试验目的是研究降低底肥施用量但是增加叶面肥施用次数方面对玉米产量的变化规律，旨在找出最经济的施肥方式以达到在保护环境的基础上提高经济效益的目的。试验表明，玉米产量随着底肥施用量的增加而提高，并且叶面肥喷施次数越多产量越高，每喷一次，可增加产量258~592.5 kg/hm2，增产幅度2.3%~5.6%。     

丘陵红黄壤区施用399对“一种两收”再生稻根系和产量的影响

[目的]研究399对"一种两收"再生稻的影响。[方法]以适宜丘陵红黄壤种植的丰两优香1号、准两优527、宜优673再生稻品种为材料,分别设置喷施399和不喷施399(CK)2种处理,研究各处理对再生稻根系和产量的影响。[结果]结果表明:施用399使水稻在生育期上延缓成熟,且施后再生稻的总根系数量、白根数量、根鲜重、根干重、根体积大幅度增加,同时在两季总产量上准两优527、丰两优香1号和宜优673品种分别比对照增产6.39%、4.86%、5.94%。[结论]施用399有利于准两优527、丰两优香1号和宜优673再生稻品种再生根的发生。     

大豆四向重组自交群体单株产量QTL单标记分析

以(垦丰14×垦丰15)×(黑农48×垦丰19)衍生的含160个株系的大豆四向重组自交系群体为试验材料,应用154个SSR标记鉴定个体基因型,利用单标记分析方法,对2013和2014年在哈尔滨和克山两地4个环境下的单株产量进行QTL定位分析。结果显示:共检测到46个与单株产量相关的QTL位点,主要分布在A1、A2、C1、C2、D2、D1b、L、K、B2、N、E、J、F、G和H连锁群上,遗传率为0.15%~9.37%。遗传率较高的标记位点有BARCSOYSSR_02_0607、BARCSOYSSR_03_1620、BARCSOYSSR_19-0451、Sat_153、Sat_367、Satt229和Satt529,优异等位基因型为BARCSOYSSR_02_0607(Q1Q1)、BARCSOYSSR_03_1620(Q2Q2)、BARCSOYSSR_09_0183(Q1Q1)、Satt229(Q2Q2)、Sat_367(Q3Q3)、Satt338(Q1Q1)、Satt229(Q1Q1)和Satt668(Q1Q1)。在检测的标记位点中,BARCSOYSSR_08_0966、Sat_36、Sat_153、BARCSOYSSR_02_0607和Satt529在两个环境中重复检测,表明这5个QTL可用于分子设计育种改良单株产量。     

水肥耦合对小麦/玉米带田产量及构成因素的影响

采用"3414"最优回归设计方案,于2007-2008年在甘肃省农业科学院张掖节水试验站,开展不同水肥耦合处理小麦/玉米带田产量效应研究。结果表明,不同水肥耦合模式对小麦/玉米带田产量的影响较大,其差异达极显著水平。其中,氮肥对产量的贡献最大,水分次之,磷肥最小,氮肥对带田混合产量的绝对贡献率达79.4%,而水分对带田混合产量的绝对贡献率达为52.9%;水肥耦合效应为:水氮耦合水磷耦合氮磷耦合;获得高产量12 952.5~13 880.0kg/hm2的施氮量为420~630kg/hm2、灌水量为5 550~6 750m3/hm2、施磷量为120kg/hm2。相关分析表明,施氮量和灌水量与间作玉米的穗粒数、千粒质量、穗粒质量、株高均呈极显著正相关,施氮量与间作小麦的穗粒质量、穗粒数呈极显著正相关。