霍侯公路通道工程绿化模式及树种选择

通道绿化是林业的重点工程 ,也是公路建设的重要内容。根据不同造林立地条件 ,提出了霍侯公路通道工程的绿化模式 ,并进行了树种选择     

Large cardamom (Amomum subulatum Roxb.) plantation — An age old agroforestry system in Eastern Himalayas

Large cardamom (Amomum subulatum Roxb.) is a shade loving plant grown in the Indian hill states of Sikkim and Dargeeling district of West Bengal. About 30 important tree species are used to provide shade to the cardamom plants. Alnus nepalensis, a deciduous, nitrogen fixing and fast growing tree, is the species most commonly underplanted with cardamom. In addition to providing shade, it is also used for fuelwood. The old trees are cut and young plants coming up are allowed to grow in cyclic order. The quick decomposing leaf litter of A. nepalensis also fertilises the cardamom plants. The nitrogen added to the soil in this way has been found to be as high as 249 kg/ha. Large cardamom thrives well in a moist soil, which is maintained by water diverted from seasonal springs on the upper slopes. The system is well suited to conserving soil, water and tree cover of the characteristically steep slopes of the region. Moreover, the management inputs required for growing cardamom are low but the crop gives a higher financial return than rice or maize. The shade trees used in the system are also a major source of fuel, fodder and timber, especially as access to state owned forests is restricted by legislation. However, increasing incidence of viral chirkey and foorkey disease, panicle rot and capsule borer are reducing the cardamom productivity. It has been observed that integrating dairying and apiculture will further augment profitability from large cardamom agroforestry system.     

GIS中目标选取算法的研究

本文分别对点，线及多边形的选取算法进行了研究。在点状团元选取中，以绝对距离代替通用的平方根距离，提高了选承效率，对于线状团元的选取，定义了一种运算量较小的点到曲线的距离，同样提高了选取效率。为了提高多边形的选取效率，对常用的判定一个点是否为多边形内点的“半直线“方法进行改进，得到了一种运算量较小的算法。     

国有林场树种结构调整及稳定性分析--以湖南省国有武冈林场为例

运用目标规划模型对湖南省国有武冈林场的森林树种结构进行优化,得到其理想的树种结构,然后计算出理想树种结构的信息熵和信息熵相对值,用于评价该场的树种结构稳定性.评价结果表明:该场1990～1999年的树种结构信息熵变化不大,稍有增势,比理想的树种结构信息熵偏小,这说明该场现有的树种结构处于过于有序状态,即,人工干扰过大,会损失某些利用功能.该评价结果可为其森林经营结构的调整提拱科学的参考依据.     

日本落叶松自由授粉家系纸浆材材性遗传变异的研究

对12年生日本落叶松自由授粉子代测定林纸浆材材质性状进行了遗传变异分析、遗传参数估计、相关分析及综合评价和选择。结果表明:家系间综纤维素含量、基本密度、早材和晚材纤维长度、早材和晚材壁腔比差异极显著或显著,10g·L-1NaOH抽出物差异也达10%水平显著。各性状受强度或中等强度的遗传控制,对日本落叶松进行家系水平的材性改良具有很大的潜力。木材密度与早、晚材壁腔比、10g·L-1NaOH抽出物呈显著正相关,与综纤维素含量呈显著负相关,与早、晚材纤维长度相互独立;晚材纤维长度与早材纤维长度存在紧密正相关,纤维长度与早材壁腔比存在显著负相关关系,与晚材壁腔比、综纤维素含量和10g·L-1NaOH抽出物相互独立;综纤维素含量与早材壁腔比呈显著负相关,与晚材壁腔比相关不显著;10g·L-1NaOH抽出物与综纤维素含量、早、晚材壁腔比均相互独立。根据对日本落叶松材质性状的综合评价结果,选出最适合作纸浆林培育的249、340、346、217和364号家系。     

植物近等基因系培育及在林木遗传改良上的应用探讨

近等基因系是分子遗传图谱构建、数量性状基因定位及分子标记辅助育种的重要基础。近等基因系选育主要有连续多次回交选育法、从突变体中分离获得、结合分子标记技术检测连续回交选育法、杂交高世代群体材料中分离选育等方法。本文介绍了主要农作物近等基因系构建及应用的研究进展,并结合林木植物的特点,提出了选择生长周期较短的木本植物柳树为材料,构建近等基因系,在此基础上形成林木遗传学研究模式树种的观点。     

我国南方食用菌原料林培育研究进展

香菇等食用菌在我国具有近千年的栽培历史，是山区经济发展的重要产业，食用菌原料林的培育对于以阔叶权赤原食用菌产业持续发展意义重大。本文重点对食用菌原料林树种的优选、人促更新定向培育、主要原料林树种的丰产栽培以及其采种基地建设等进行述评。根据食用菌原料林培育研究现状和存在问题，提出进一步发展的技术对策和今后的研究重点，包括主要原料树树的种的良种选育和扩繁技术、育苗技术、松杉林冠下造林技术和多种食用菌原料林树种混植技术、二代食用菌原料林的萌芽更新技术等。     

6种公路常绿植物叶面特性对滞尘效果的影响研究

通过选择6种具有代表性的道路常绿植物,应用接触角测定仪测定了不同树种叶片的接触角,通过扫描电镜观察比较了6种常绿植物的叶表面形态结构,分析其对滞尘能力的影响。试验结果表明常绿植物叶片正面接触角越大,滞尘能力越小;表面叶孔越多,粗糙度越大,滞尘能力越强。研究成果可为城市绿化树种的选择提供基础依据。     

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.     

Use of genomic recursions and algorithm for proven and young animals for single‐step genomic BLUP analyses – a simulation study

The purpose of this study was to examine accuracy of genomic selection via single‐step genomic BLUP (ssGBLUP) when the direct inverse of the genomic relationship matrix ( G ) is replaced by an approximation of G ^?1 based on recursions for young genotyped animals conditioned on a subset of proven animals, termed algorithm for proven and young animals (APY). With the efficient implementation, this algorithm has a cubic cost with proven animals and linear with young animals. Ten duplicate data sets mimicking a dairy cattle population were simulated. In a first scenario, genomic information for 20k genotyped bulls, divided in 7k proven and 13k young bulls, was generated for each replicate. In a second scenario, 5k genotyped cows with phenotypes were included in the analysis as young animals. Accuracies (average for the 10 replicates) in regular EBV were 0.72 and 0.34 for proven and young animals, respectively. When genomic information was included, they increased to 0.75 and 0.50. No differences between genomic EBV (GEBV) obtained with the regular G ^?1 and the approximated G ^?1 via the recursive method were observed. In the second scenario, accuracies in GEBV (0.76, 0.51 and 0.59 for proven bulls, young males and young females, respectively) were also higher than those in EBV (0.72, 0.35 and 0.49). Again, no differences between GEBV with regular G ^?1 and with recursions were observed. With the recursive algorithm, the number of iterations to achieve convergence was reduced from 227 to 206 in the first scenario and from 232 to 209 in the second scenario. Cows can be treated as young animals in APY without reducing the accuracy. The proposed algorithm can be implemented to reduce computing costs and to overcome current limitations on the number of genotyped animals in the ssGBLUP method.