基于时间序列高校图书馆借阅流量分布统计分析

对2006～2009年青岛农业大学图书馆读者借阅流量进行了统计,分别建立了基于年、月、周、时段等时间序列的借阅量分布图,分析了以上时间序列借阅流量的分布规律。对高校图书馆馆藏资源类型合理搭配、提高纸质文献利用率和实现图书馆人力资源动态管理提出了建议,为提高图书馆管理与决策水平、提高工作效率与质量提供了依据。     

不同脱粒与干燥方式对稻米品质的影响

选用代表型品种 (组合 )南京 16 (代表中稻 )、金优 2 0 7(代表晚稻籼型 )、鄂宜 10 5(代表晚稻粳型 )进行不同的脱粒与干燥处理 ,以考察不同处理对稻米品质的影响。脱粒方式处理分为人工链杆击打、拖拉机带动石磙碾落和联合收割机脱粒 ;干燥方式处理分为在水泥地上自然晒干、放在竹垫上自然晒干和机械通风干燥。两种处理共交叉组合成 9种交叉处理。结果表明 ,不同脱粒与干燥处理对米质中的整精米率和垩白度指标影响最大。其中 ,脱粒方式对稻米整精米率的影响较大 ,同时对南京 16垩白度的影响较大 ;干燥方式对金优 2 0 7和晚粳鄂宜 10 5垩白度的影响较大 ;两种处理方式之间互作效应显著 ,最佳组合处理为联合收割机脱粒加机械通风干燥处理。不同处理方式对中稻品种南京 16米质的影响要大于对晚粳鄂宜 10 5和晚杂组合金优2 0 7。     

烘烤干筋阶段恒定温度及持续时间对烤烟香吃味的影响

试验采用二因素回归最优设计,研究了贵烟4号烘烤干筋恒定温度及持续时间对烤后烟叶香吃味评分及石油醚提取物含量的影响。结果表明：在干筋阶段当温度稳定在50℃~60℃持续时间5~20h时,烟叶香吃味评分和石油醚提取物含量表现出先增后降的抛物线曲线,最佳香吃味得分出现在温度54.3℃~57.0℃,持续时间为12.5~15.5h;最高石油醚提取物含量出现在温度54.3℃~56.3℃、持续时间5~12.5h时,二者具有较好的相关性。     

稻米蛋白质及其组分研究概况及其对稻米品质的影响

稻米蛋白质是决定其食味品质的重要因素,稻米蛋白质含量通常与米饭的食味品质呈显著负相关。作为典型的数量性状,稻米蛋白质含量受环境因素的影响较大。然而,稻米蛋白质含量及其构成的决定机制及环境因素对其的影响等方面还有诸多不明之处,其影响食味品质的机理也不清晰。本文综述了稻米蛋白质的种类、结构及其分布,稻米蛋白质的合成与积累过程以及蛋白质含量的遗传控制和影响因素,概括了稻米蛋白质及其组分含量与稻米品质关系的研究进展,为优质水稻的品种筛选及调优栽培提供参考和借鉴。     

消费者在甜玉米种质食味品质鉴评中的偏好性初探

甜玉米的蒸煮品质品尝鉴评是评价食味品质的重要环节。了解普通消费者评价甜玉米食味品质的标准及偏好性可以使育种家在改良甜玉米品质和培育优质品种时更有针对性。以17份甜玉米种质为试验材料,在专业鉴评的基础上,请95名普通消费者进行了品尝鉴评,并对获得的评价数据进行调查。普通消费者的评价结果总体上和专业鉴评结果相一致;与好吃程度相关性最高的是风味和甜度,相关系数均在0.950以上;女性普通消费者中果皮厚度与好吃程度的相关系数高达0.930以上,显著高于男性的0.892,而女性消费者中好吃程度与光泽度的相关系数则只有0.501,明显低于男性的0.666。上述结果表明,与普通消费者整体喜好度相关性最高的是风味和甜度;女性消费者对果皮厚度的重视程度高于男性,而男性消费者对光泽度的重视程度高于女性。这些初步调查结果可为育种家们开展更有针对性的甜玉米食味品质改良提供参考依据。     

Fire effects and short-term changes in soil water repellency – Mt. Carmel,Israel

The Mediterranean ecosystem of the Carmel Mountain ridge in Israel is subjected to an increasing number of forest fires of various extents and severities due to intense human activities in the region. On 8 April 2005, a low-moderate severity forest fire occurred at the northwestern part of the ridge and burned more than 150 ha of natural vegetation. Soil water repellency (WR) is a property usually modified by the litter and soil organic matter combustion as a consequence of fire, which has implications for the hydrological balance in the affected soils. A field study was conducted with the following objectives: 1) to investigate in situ WR changes at three soil depths as a consequence of the fire, 2) to evaluate the short-term evolution of WR under field conditions, and 3) to study the relationship between pre-fire vegetation type and slope aspect on the persistence of WR in the burned area. Soil WR was measured by the Water Drop Penetration Time (WDPT) test. Measurements were conducted monthly at 31 field sites within the burned area over a period of seven months (April 2005–November 2005), and compared to adjacent unburned areas. Soil WR measurements included more than 3400 WDPT tests at soil surface and at 5 and 10 cm depths. The results indicate that fire induced WR in previously wettable soils exhibited high levels of persistence at the soil surface during the first six weeks after the fire, while at 5 cm depth WR persistence was lower. At 10 cm depth soil was mostly wettable. After six weeks the frequency of WR occurrence diminished at the soil surface and at 5 cm depth. In addition, WR was found to be highly related with the pre-fire vegetation type and with slope aspect.     

兴仁小白壳薏苡不同播期对产量的影响

为探索适宜兴仁县薏苡种植的最佳播种时期,在兴仁县开展了薏苡不同播期对产量影响的试验。试验共设9个播期,梯度为7 d,播种时间从3月19日－5月14日。试验结果表明,兴仁小白壳薏苡的最佳播期是3月19日－4月16日,并且在此期间播种,薏苡产量较高。     

Canopy temperature based system effectively schedules and controls center pivot irrigation of cotton

Cotton is a perennial plant with an indeterminate growth pattern that is typically produced like an annual, but requires proper management to effectively produce high yields and good fiber quality in a thermally limited environment like the northern Texas High Plains. In 2007 and 2008, we investigated the effect of irrigation scheduling/control method and amount on cotton (Gossypium hirsutum L.) yield and water use efficiency. Methods were automatic irrigation scheduling and control of a center pivot system, and manually scheduled irrigation to replenish soil-water to field capacity. Cotton was irrigated with LEPA (low energy, precision application) drag socks in furrow dikes; three blocks were irrigated manually and three were irrigated automatically. Six replicates of the manual and automatic irrigation treatments were included in the randomized block design. Manual irrigations were based on the weekly replenishment of soil-water to field capacity in the top 1.5 m of the soil profile and included a fully irrigated treatment (I₁₀₀), and treatments receiving 67% (I₆₇) and 33% (I₃₃) of the I₁₀₀ amount, plus a non-irrigated treatment (I₀). Automatic irrigations were triggered using a time temperature threshold (TTT) algorithm, which was designated as the I₁₀₀ treatment, and treatments receiving 67%, 33%, and 0% of that amount (I₆₇, I₃₃ and I₀, respectively). In 2007, overall mean lint yields (102.3 and 101.6 g m⁻², manual and automatic, respectively) were not significantly different. Similarly, yields were not significantly different across automatic and manual treatments in the same treatment level, with the exception of the I₆₇ treatment where the manual treatment yields were 11% greater. In 2008, the mean yields were 70% less than those in 2007 for both methods of irrigation (30.3 and 30.9 g m⁻², manual and automatic, respectively) due to harsh climatic conditions at emergence and heavy rainfall and cooler temperatures in the month of August. Yields from the automatically irrigated plots in the I₁₀₀ and I₆₇ treatments, however, were significantly greater than yields from the corresponding manually irrigated plots; though there was no significant difference between yields in the drier treatments (I₃₃ and I₀) plots. These results indicate that the TTT algorithm is a promising method for auto-irrigation scheduling of short season cotton in an arid region. However, further studies are essential to demonstrate consistent positive outcomes.     

马铃薯晚疫病短期预报模型

依据云南省马龙地区2003 ～ 2012年种植季的数据资料,分别利用单一回归模型、混合模型建立预报模型,并利用历史数据资料的回代进行精度检验.结果表明:2个模型均满足精度要求,但经过改进的混合模型明显提高了拟合精度.采用混合预报模型替代传统单一预报模型,综合考虑了同时期和不同时期的因素对马铃薯晚疫病的影响,提高了模型的精度.