Landscape attributes and life history variability shape genetic structure of trout populations in a stream network

Spatial and temporal landscape patterns have long been recognized to influence biological processes, but these processes often operate at scales that are difficult to study by conventional means. Inferences from genetic markers can overcome some of these limitations. We used a landscape genetics approach to test hypotheses concerning landscape processes influencing the demography of Lahontan cutthroat trout in a complex stream network in the Great Basin desert of the western US. Predictions were tested with population- and individual-based analyses of microsatellite DNA variation, reflecting patterns of dispersal, population stability, and local effective population sizes. Complementary genetic inferences suggested samples from migratory corridors housed a mixture of fish from tributaries, as predicted based on assumed migratory life histories in those habitats. Also as predicted, populations presumed to have greater proportions of migratory fish or from physically connected, large, or high quality habitats had higher genetic variability and reduced genetic differentiation from other populations. Populations thought to contain largely non-migratory individuals generally showed the opposite pattern, suggesting behavioral isolation. Estimated effective sizes were small, and we identified significant and severe genetic bottlenecks in several populations that were isolated, recently founded, or that inhabit streams that desiccate frequently. Overall, this work suggested that Lahontan cutthroat trout populations in stream networks are affected by a combination of landscape and metapopulation processes. Results also demonstrated that genetic patterns can reveal unexpected processes, even within a system that is well studied from a conventional ecological perspective.     

一种用于香蕉叶斑病防治的新型施药技术

试验一种将内吸性农药稀释后灌注于香蕉叶柄基部防治香蕉叶斑病的新型精确定量施药技术。结果表明，这种施药技术与常规施药技术相比，防效相当，且对香蕉的生长无不良影响，而农药成本仅为常规防治的18%，农药利用率提高4倍，值得推广应用。     

百菌清制剂防霉效果的初步研究

以杨木、马尾松为试材，百菌清制剂Ｆ１及Ｆ２防治青霉、黑曲霉霉菌的效果进行了室内试验研究。结果表明百菌清制剂Ｆ２防治杨木、马尾松试块的青霉、黑曲霉的效果与五氯酚钠相当，甚至较ＮａＰＣＰ好。     

颗粒剂农药防治辣椒疫病的研究

选择了５种杀菌剂，将其制成具有缓释性能的颗粒剂，施在辣椒根茎基部防治辣椒疫病。室内接种试验，有４种颗粒剂施药７ｄ后防效１００％，２１ｄ后防效９５％以上。田间试验防效平均在８４％以上，连续３年田间应用，防效为８０％左右。     

油茶炭疽病的化学防治研究

本研究使用14种杀菌剂对油茶炭疽病进行了室内和田间的防治试验。结果表明，扑菌清、叶斑净和宝宁的效果较好，同时对杀菌剂在田间的施用方法也提出了建议。     

THE ESTIMATE OF THE EFFECTIVE FUEL COMBUSTION VALUE OF FOREST COMMUNITY IN THE DAXINGAN MOUNTAIN

FoRESTFUELCoMBUSTIoNVALUECombustionvalueisanimportantparameterofmaterialburningcharacteri-stics.Itmeansthattheheatreleasesfromtheunitofmaterialcompleteburningtocooldownthestartingtemperatureofreactionmaterals(l).Undertheconditionofthesamepressureandenoughoxygeninthecombustor,materialscombustionva1ueisrelatedtotheinnerenergyofthematerialstatefromthebeginningtotheendduringreaction.Thecombustionvaluesuchasmeta1,carbon,hydrogencanbemeasuredaccurate1y.Toforestfuels,theirenergycan'tbethesam…     

高节竹梢枯病发生规律及防治试验

在掌握高节竹梢枯病Arenrinium phaeospermurn发生规律的基础上，对10种杀菌剂进行室内药效测定，选出的70％甲基托布津、50％多菌灵、80％402乳剂、40％异稻瘟净、20％粉锈宁等5种杀菌剂对暗孢节菱孢菌有较强的抑菌作用。野外防治试验表明，采用综合治理措施，防治效果可达88．2％。     

Leslie矩阵模型在油松毛虫种群动态分析中的应用研究

油松毛虫(Dendrolimus tabulaeformis)是我国华北地区油松林的重要害虫之一。其分布面积广、发生频繁、危害严重。有人曾对油松毛虫种群的生物学特性、防治以及种群动态的研究作过有关的报道,本文则通过对油松毛虫的数量变动进行跟踪调查,并用Leslie矩阵模型对其种群动态进行了模拟,这对害虫的测报具有重要的实践意义。一、材料与方法 (一)标准地概况 1984—1986年与1988—1989年我们分别在密云县五座楼场和石墙沟村选择了5块油松纯林作为标准地,概况列在表1中:     

Bearing properties of engineered wood products I: effects of dowel diameter and loading direction

The embedment tests of laminated veneer lumber (LVL) with two moduli of elasticity (MOE; 7.8 GPa and 9.8GPa), parallel strand lumber (PSL), and laminated strand lumber (LSL) were conducted in accordance with ASTM-D 5764. The load-embedment relation for each of these engineered wood products (EWPs) was established. The directional characteristics of bearing strength (_e), initial stiffness (k _e), and effective elastic foundation depth were obtained from the tested results. The effective elastic foundation depth (=E/k _e,E = MOE), based on the theory of a beam on elastic foundation, was obtained from thek _e and MOE. An of 90° (perpendicular to the grain) was calculated by dividingE ₉₀ [MOE of 90° from the compression test, but MOE of 0° (E ₀), parallel to the grain, obtained from the bending test] byk _e90, the initial stiffness of 90°. This study aimed to obtain the bearing characteristics of each EWP, taking into consideration their anisotropic structures, for estimating the fastening strength of a dowel-type fastener. The relations between the bearing coefficients ( _e,k _e,) on the loading direction and dowel diameter were established from the load-embedment curves. Based on the results of the embedment test, tested EWPs showed different tendencies in all directions from wood and glued laminated timber.Part of this study was presented at the 49th Annual Meeting of the Japan Wood Research Society, Tokyo, April 1999     

Is the use of formulae a reliable way to predict the accuracy of genomic selection?

We studied four formulae used to predict the accuracy of genomic selection prior to genotyping. The objectives of our study were to investigate the impact of the parameters of each formula on the values of accuracy calculated using these formulae, and to check whether the accuracies reported in the literature are in agreement with the formulae. First, we computed the marginal distribution of accuracy (by integration) for each parameter of all four formulae: heritability h², reference population size T, number of markers M and number of effective segments in the genome M_e. Then, we collected 145 accuracies and corresponding parameters reported in 13 publications on genomic selection (mainly in dairy cattle), and performed analysis of variance to test the differences between observed and predicted accuracy with effects of formulae and parameters. The variation of accuracy for different values of each parameter indicated that two parameters, T and M_e, had a significant impact and that considerable differences existed between the formulae (mean accuracies differed by up to 0.20 point). The results of our meta‐analysis showed a big formula effect on the accuracies predicted using each formula, and also a significant effect of the value obtained for M_e calculated from N_e (effective population size). Each formula can therefore be demonstrated to be optimal depending on the assumption used for M_e. In conclusion, no rules can be applied to predict the reliability of genomic selection using these formulae.