上海动物园游客保护教育需求及满意度调查

本研究利用问卷调查收集了上海动物园游客类型与特征、游园目的、游客游览时获得野生动物科普知识的途径、游客对现有科普活动的评价、对科普教育的需求、游客满意度、意见与建议等,并进行了研究。结果表明,大部分(66.02%)游客为本市居民和暂居本市的中青年。近9成(89.51%)游客携带孩子游览动物园,其中超过半数(52.34%)为父母与孩子共同出行。游客游园目的主要为观看动物、游玩娱乐和让孩子学习动物知识。观察动物和阅读动物科普说明牌是游客学习动物科普知识的主要途径。互动类和深度游类项目,是游客最愿意参加的活动类型。游客更希望园方从动物科普设施、饲养员讲解、志愿者讲解这3方面提升其教育功能。总体而言,游客对上海动物园感到满意,超过半数(53.81%)表示很满意。具体而言,动物说明牌的满意度最高,其次是路面状况和路标指示牌。基于研究结果,提出以下建议:提升科普活动的内涵和互动性;提升游园体验,延长游览时间;寻找迎合和引导的平衡;完善基础设施。     

中国古老月季品种远缘及品种间杂交亲和性评价

以5份中国古老月季品种、3份野生蔷薇和22份现代月季品种为试材,采用常规人工授粉杂交方法,同时结合花粉活力及倍性测定情况,研究了古老月季远缘和品种间的杂交亲和性,筛选出了高亲和性的杂交亲本,以期为中国古老月季的杂交育种、亲本选择提供参考依据.结果 表明:古老月季品种间杂交亲和性最高,所配组合的杂交成功率达87.50％,古老月季与野生蔷薇、现代月季的远缘杂交亲和性也较高,所配组合的杂交成功率均高于50％,说明古老月季远缘和品种间的杂交亲和性均较好,因此,在杂交工作中,选用古老月季作为亲本材料有较好的杂交亲和效果;古老月季杂交亲和性与花粉活力、亲本倍性,正反交等因素相关,选择月季亲本时要综合考虑各因素,以提高月季杂交的成功率;结合远缘杂交、品种间杂交以及人工授粉结实情况,筛选出适合做母本的古老月季品种为"大花香水""小花香水""月月红",适合做父本的月季品种为"金樱子""可爱的绿".     

柞蚕新品种永青的选育

柞蚕新品种永青是以“青六号”为基础材料,利用系统选育手段,采用分区饲养、系统分离、定向培育的方法,同时兼顾各项经济指标的综合平衡,通过9年18代的系统选育,育成的具有青黄蚕血统的柞蚕新品种。选育结果：全茧量12.47g,千粒茧重11.99kg,虫蛹统一生命率94.81%;与吉柞88-2、方山黄杂交,增产幅度达15.5%以上。     

试验统计方法课程教学改革探索与实践

介绍了试验统计方法课程的基本理论体系和教学目标,指出了试验统计方法课程教学中存在的主要问题,并提出了课程教学改革理念及思路,以为试验统计方法课程教学改革提供参考。     

芷江白蜡虫优势寄生蜂发生规律及综合防治

湖南芷江是我国传统的虫白蜡产区,素有"白蜡之乡"的美誉,但因受病虫害及气候条件等影响,芷江虫白蜡生产上一直未能实现种虫自给自足。本文研究了芷江白蜡虫生产过程中寄生蜂发生规律及综合防治方法,结果表明:芷江白蜡虫种虫生产上受寄生蜂危害严重,寄生率最高达91.3%,平均为56.1%,大量引发白蜡虫种虫绝收,寄生蜂危害是导致芷江长期不能规模化培育白蜡虫种虫的最直接原因。跳小蜂科的白蜡虫阔柄跳小蜂、白蜡虫花翅跳小蜂、中华花翅跳小蜂是白蜡虫优势寄生蜂,种群数量占寄生蜂混合种群数量的90%以上。7月至10月是寄生蜂危害高峰期。寄生蜂的优势种类结构及发生规律与云南昆明等白蜡虫种虫传统产区相比有明显差异,建议抓住优势种群危害高峰期,开展白蜡虫寄生蜂的综合控制。     

7个红掌品种产生愈伤组织的影响因素

采用正交试验,探讨在不同光照条件下MS大量元素、6-BA、2,4-D、NAA对7个红掌品种愈伤诱导的影响.结果表明:散射光照对红掌愈伤诱导有促进作用;时红掌愈伤诱导影响排序为:Ms大量元素>NAA>6-BA>2,4-D,大量元素的影响效果最明显,6-BA和2,4-D的影响效果差异较小.     

大麦株高及其构成因素的杂种优势和配合力分析

选用7个株高差异比较明显的啤酒大麦品种(系)为亲本,按照Griffing双列杂交方法 II配制21个杂交组合,2年重复试验,分析大麦株高及其构成因素的杂种优势和配合力关系。结果表明:株高及其构成因素的杂种优势均存在广泛的变异,除倒1节间长度外,其余节间长度的平均优势均为负值,倒3,4节间长平均优势最大;株高及其构成因素的遗传同时存在显著的加性效应和非加性效应,以加性效应为主;苏啤3号和港啤2号的株高及各节间长一般配合力效应值均表现为较明显的负向效应,其在育种工作中对改良啤用大麦后代株高结构有良好的作用;品系连0719穗长一般配合力具有较大的正向效应,在改善穗长性状育种中具有一定的利用价值。除倒5节间长外,杂种组合扬农啤5号×苏引麦2号、港啤1号×苏啤3号、苏引麦2号×苏啤3号的各节间长均表现为较明显的负向效应,其穗长均表现为正向效应,可作为选育矮秆或半矮秆大麦品种的较优组合;株高及其构成因素具有较高的遗传力,表型变异受环境影响较小,宜早代选择。     

具有风险相依结构的平衡信度估计

在保险实务中，风险之间具有一定的相依结构. 通过考虑保费的目标估计来对风险保费进行了研究，采用正交投影的方法求解了最优问题，在平衡损失函数下得到了风险等相关的齐次和非齐次信度估计. 结果表明得到的信度估计具有经典信度模型的加权形式.     

Hyperspectral Models for Estimating SPAD Value of Cotton Leaves under Waterlogging Stress

[Object] To setup the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress. [Method] Irrigation and drainage controllable plots were introduced to simulate the waterlogging stress treatment in the flowering and boll forming stage, during which the change characteristics of the cotton leaf spectral reflectance and SPAD value were observed after 1 d, 3 d, 6 d, 9 d waterlogging, respectively. To find out the hyperspectral sensing models for estimating SPAD value of cotton leaves under waterlogging stress, the correlation and regression relationships between SPAD value and spectrum parameters were analyzed. [Result] (1) The SPAD value of the fourth cotton leaf from the top was significantly lower than control when suffers from waterlogging for 3 d, when waterlogged 9 d the SPAD value decreased by around 15% compared with the control. (2) The cotton suffering from waterlogged damage in the flowering and boll forming stage caused the reflection peak in green light wave band became steep, while the near infrared spectral reflectance increased, and caused the reduction of red absorption and red edge position "blue shifts", the red edge position drifts towards short wave with 4～5 nm when suffers from waterlogging for 9 d. With increase of the waterlogged days, the red edge slope and red edge area increased with a maximum value at 6 d of waterlogging, meanwhile, the skewness and kurtosis of red edge increased. (3) After waterlogging, the SPAD value of the fourth cotton leaf from the top (chlorophyll content) had a remarkable correlation with red edge slope(Dr), red edge position(λr), green peak reflection(Rg), green peak position(λg), red well position(λo), blue edge area(SDb), yellow edge skewness(Sy), yellow edge kurtosis(Ky), red edge skewness(Sr), red edge kurtosis(Kr), etc. An experience linear, polynomial and exponential models for estimating SPAD value had been built through using the Sy, Sr, Kr as independent variables, respectively, their determination coefficient (R²) were greater than 0.9, and the root mean square error (RMSE) were less than 1; and an experience binary linear regression equation for estimating SPAD value had been built through multivariate regression using the λg, SDr/SDb(VI3), Sb, Sy, Ky as independent variables, the R² was as high as 0.973, and the RMSE was 0.393. [Conclusion] The model can be remote sensing model used as estimating leaf SPAD of cotton value under waterlogging stress.