庐江地区不同栽培方式对油菜产量及经济效益影响

探索庐江地区不同栽培方式对油菜产量与经济效益的影响，在相同茬口条件下，以陕油28为试验材料，研究人工育苗移栽、机条播和无人机飞播等三种栽培方式对油菜生育特性、产量构成及经济效益等影响。结果表明，人工移栽产量最高，机条播经济效益最好，亦是目前农户主要栽培方式。作为规模生产主体，由于劳动力等因素，选择机条播为最佳。     

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。     

Comparative Study on Carcass Traits and Meat Quality of Different Month Old of Xinjiang Brown Cattle Steers

In this research,12 heads of 28 to 30 months (low months age group) and 8 heads of 32 to 34 months (high months age group) Xinjiang Brown cattle steers which fed in the same mode of nutrition were chose for the slaughter test,in which the carcass traits,nutrient composition and some edible quality index were measured and comparative analyzed,a research which through comparative analysis the carcass traits and meat quality of nutritional components of different months of Xinjiang Brown cattle steers was carried out.The results indicated that the marbling,carcass grade,fat,meat color of high months age group were better than that of low months age group,the traits of the low months age group on fat color,moisture,protein,cooking loss and shear force value were better than that of high months age group,and there were significant difference on the traits of fat and meat color L^* between the two groups (P<0.05),while the differences of other traits between them were not significant (P>0.05);As high-grade beef,in addition to the traits of meat color and pH value of the chunk roll,tenderloin and striploin,each site of the meat traits on the fat,protein,moisture,cooking loss,shear force value indicators were all better than other parts,and showed the best of nutritional value and edible quality.28 to 34 months of Xinjiang Brown cattle steers could produce high-grade beef,the meat could be used as the raw materials of steak and boiled beef.     

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.     

The mechanical roles of the clasping leaf sheath in cereals: Two case studies from oat and wheat plants

Stem lodging is a common problem in cereal crop production and a main constraint for grain yield improvement. The leaf sheath that surrounds and protects the hollow internodes of stem could provide the plants with a great physical support. However, this biomechanical function has been ignored for several decades in cereal crops. This study aimed to examine the biomechanical properties of basal stem internodes and lodging susceptibility of the whole plants with or without the clasping leaf sheath in wheat (Triticum aestivum L.) and oat (Avena sativa L.) among different genotypes and agronomic practices (including planting densities and nitrogen application rates). The main objective was to quantify the mechanical role of the leaf sheath in oat and wheat crops by a “safety factor” method. On average, the leaf sheath contributed 40%, 68% and 38% of the overall stem bending strength, flexural rigidity and safety factor, in oat, while it accounted for 11%, 24% and 10%, respectively, in wheat plants. The significant contribution of the leaf sheath is due to its vital role in enlarging the peripheral position (i.e., second moment of area) and stiffness (i.e., Young's modulus). The contribution ratios (%) were found to be higher in oat than in wheat plants, due to the greater mass density of leaf sheath and more proficient/prevailing stay-green capability in oat genotypes. This study emphasizes the important mechanical role of clasping leaf sheath on stem internodes of cereals and indicates that the stay-green trait of the leaf sheath can be exploited to design appropriate varieties with improved lodging resistance and great yield potential.     

不同规格穴盘育苗对茄苗及其栽培效益的影响

为完善茄子穴盘育苗技术,对比研究了不同规格穴盘育苗的茄苗素质及栽培效益。结果表明:32孔规格穴盘育苗比50孔茄苗素质明显提升;移栽单栋钢架大棚后,32孔穴盘育苗的茄子早熟性比50孔穴盘育苗平均提前5 d,总产量增加15.3%;667 m~2投入成本32孔穴盘育苗比50孔穴盘育苗增加75.3%(35.6元),而收益增加了2 427.9元。因此建议大棚茄子种植采用32孔规格穴盘进行育苗。     

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.     

Diversity in the carotenoid profiles and the expression of genes related to carotenoid accumulation among citrus genotypes

Carotenoids are not only important to the plants themselves but also are beneficial to human health. Since citrus fruit is a good source of carotenoids for the human diet, it is important to study carotenoid profiles and the accumulation mechanism in citrus fruit. Thus, in the present paper, we describe the diversity in the carotenoid profiles of fruit among citrus genotypes. In regard to carotenoids, such as β-cryptoxanthin, violaxanthin, lycopene, and β-citraurin, the relationship between the carotenoid profile and the expression of carotenoid-biosynthetic genes is discussed. Finally, recent results of quantitative trait locus (QTL) analyses of carotenoid contents and expression levels of carotenoid-biosynthetic genes in citrus fruit are shown.     

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.