贵州农民财产性收入研究

阐述了财产性收入对提高贵州农民收入的重要性,深入分析了贵州农民财产性收入存在的问题和现状,并试图探索提高贵州农民的财产性收入的途径。     

广州香蕉束顶病毒分离和核酸鉴定

经液氮冷冻、差速离心和蔗糖梯度离心，从广州地区香蕉束顶病株中获得大小为25nm的病毒颗粒，该病毒与香蕉束顶病毒单克隆兔抗血清呈阳性反应，该病毒核酸可被Dnase和S1核酸酶降解，但不能被RNase降解，属于ssDNA ；人子量大小约为1165碱基。     

氧漂期间桦木硫酸盐纸浆表面性质变化的探讨

尝试性地应用ESCA对桦木硫酸盐浆氧漂期间表面性质的变化进行了初步分析。结果表明:桦木硫酸盐浆氧漂期间氧碳比逐渐增加,碳价态发生了显著的变化。这对于指导纸浆氧漂工艺条件的合理制定,预测或控制纸浆的宏观质量有非常重要作用。ESCA可为研究纸浆漂白提供新的有效手段。     

谏壁发电厂泵站改造实践

为解决渣浆泵在运行时轴封水供应困难的问题，计算了谏壁发电厂松林山泵站的装置特必,天详细分析论证的基础上，确定了泵站的改造方案，进行了叶轮的优化设计。     

数字滤波技术在汽车碰撞试验中的应用研究

为了使开发的汽车碰撞试验系统的数据处理结果满足CMVDR 294法规要求，研究了汽车碰撞试验数据处理过程中的关键技术．根据汽车碰撞试验的具体要求改进了数字滤波器的设计过程，并应用Matlab进行了不同频率的幅频特性仿真分析，提出了一种能够简化设计过程、提高计算精确性的数字滤波器设计方法，并根据该方法在LabVIEW平台上开发了满足法规要求的数字滤波器．同时，通过对大量的碰撞试验数据进行分析处理，验证了该数字滤波器能够有效屏蔽原始数据中的噪声与高频分量，幅值不失真．     

酿酒葡萄成熟特性的研究

葡萄浆果成熟过程中,存在着多方面的变化。只有含糖量、含酸量的变化最有规律,最能代表葡萄品种的成熟特性。含糖量的变化与logistic曲线、含酸量的变化与对数曲线拟合性最好。不同品种成熟特性的差异,主要表现为含糖量上升速率与含酸量下降速率的不同。气象因素能明显影响葡萄的成熟特性,最终造成同一品种在不同地区成熟度的差异。     

pH及阳离子浓度对柞蚕蛹蛋白溶解性的影响

对不同pH及阳离子浓度下柞蚕蛹蛋白的溶解性进行了研究。结果表明,柞蚕蛹蛋白的等电点pI为4.2~4.5。测定不同的阳离子对其溶解度的影响顺序为Zn2+>Ca2+>Mg2+>Na+,随着阳离子浓度的增加,蛹蛋白的溶解性增加,当离子浓度超过1.0 mol/L时,其溶解性则降低。     

高寒区轮作模式对当归田土壤特性及药材产量的影响

连作重茬造成当归产量逐年下降。采用药用植物秦艽(QJ)、羌活(QH)轮作当归(DG),以当归连作为对照,通过测定土壤和药材产量指标,利用主成分分析确定各指标权重,并结合隶属综合因子分析和聚类分析,旨在揭示不同药用作物轮作当归对土壤环境与药材产量的影响,为筛选适宜当归栽培的轮作模式提供科学依据。结果表明,不同作物轮作对当归田土壤特性和药材产量均具有显著影响,秦艽轮作当归可有效改善土壤特性,使当归成药期土壤磷和钾含量处于较低水平,而有机质维持在较高水平,对土壤水分的季节调控作用更为显著,与当归连作相比较,当归成药率提高94.10%,药材单根鲜重和药材鲜产量分别提高53.46%和125.56%,而羌活轮作当归土壤pH最高,有机质含量最低,当归连作土壤有机质含量虽高,但土壤富集磷和钾,对土壤水分季节性调控作用最小,当归成药率和药材产量均低。不同轮作模式当归成药率和药材产量依次为秦艽-当归>当归-当归>羌活-当归,综合指数大小依次为秦艽-当归(0.8132)>羌活-当归(0.3315)>当归连作(0.2051)。聚类分析将3种轮作模式分为三大类,重复小区亚类间距离均小,说明不同作物轮作对土壤的调控作用不同,高寒产区秦艽轮作当归是优化调控土壤环境,提高当归产出性能的有效轮作模式。     

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.     

Soil property differences among high‐ and average‐yielding soya bean areas in Arkansas,USA

Soya bean [Glycine max (L.) Merr] yields >6719 kg/ha (100 bu/ac) have only recently and infrequently been achieved. Quantifying soil property differences between high‐ and average‐yielding areas can help to further identify non‐plant‐related properties contributing to soya bean yield potential. The objective of this study was to evaluate the effects of region and soil depth on soil property differences between high‐ and average‐yielding areas. In each of the seven regions of the ‘Grow for the Green’ yield contest in Arkansas, prior to or just after harvest in 2014 and 2015, soil samples were collected from the top 20 cm of one contest high‐yield (HY ) area that was in close proximity to an average‐yield (AY ) area. Across all regions and both years, soya bean yields differed (P  <  0.05) between yield areas, averaging 4701 and 5498 kg/ha in AY and HY areas, respectively. Averaged across soil depth and years, numerous soil properties differed (P  <  0.05) between HY and AY areas within at least one of seven regions. Total soil C content was at least 20.2% greater in the HY than in the AY area in three of seven regions. Extractable soil P content was, on average, 19.4 kg/ha greater in HY than in AY areas in three of the seven regions. Results from this study have the potential to help producers better understand soil properties that contribute to or hinder achieving ultra‐high (>6719 kg/ha) soya bean yields.