数字图像处理在植物新品种鉴定中的应用

随着分子生物学和信息技术的发展,指纹图谱技术已成为品种鉴定的重要手段。本文从目前人工鉴定指纹图谱的方法出发,提出了利用计算机的图像处理技术来实现指纹图谱鉴定的方法以及实现技术。     

10个红掌品种在生产上的表现

叙述了在云南西双版纳网棚基质栽培条件下,10个红掌品种的生长和产花表现,讨论了商业品种选择和抗病品种选育对云南热区发展红掌商业种植的重要性。     

浅析冷铺沥青材料的特性、配制及应用

储存式冷铺沥青混合料,是指平时储存在仓库内,使用对在常温下进行摊铺和压实的材料.文章着重介绍了这种冷铺沥青材料的特性、配制原理及应用技术要求.     

泰山板栗良种(优系)选育研究

本研究通过对板栗种质资源丰富的泰山的实生板栗大树进行良种选育,在对优系生长结果,栗实品质调查的基础上,通过初选、实地调查、专家复选,确定23个优系在3种不同立地条件下建优系对比园。通过各优系的生物学特性、早实丰产性、栗实品质进行对比分析,采用最大隶属度原则进行排序,筛选出综合品质前4位的5号、8号1、6和20号。筛选出的4个优系在不同立地条件上表现丰产稳产,4 a生株产在2.0kg以上,比对照石丰株产高70%~190%,平均投影面积产量在0.5 kg以上。栗实综合品质优良,单粒重在8.0g以上,红褐色或紫褐色,茸毛少或较少,富光泽,栗实整齐均匀,含糖量在18.0%以上,栗肉细、味香、糯性强,栗实品质优于石丰。     

发展福建省林木育种工作的思考

本文指出随着福建林业的发展，林木良种工作也产生了相应的变化，认为应当对主要用材树种进行深入研究，使育种目标多样化并加强对林木种质基因资源的保护。     

云南小粒咖啡优良品种比较试验及丰产栽培示范

以德宏热带农业科学研究所咖啡种质库选出的13个小粒咖啡品种为材料,在云南省4个不同的生态类型区建立咖啡优良品种比较试验区和丰产栽培试验区,以验证各品种的生长、产量和品质等优良特性,和在不同生态类型区的稳定性,试验结果筛选出CIFC7963、28号可在云南适宜植区大规模种植;T8667、T5175、CatimorP88、CatimorP128等4个品种可以扩大种植。景洪试验点年均气温高(22.4℃),超过小粒种咖啡对最适年均温(19～21℃)的要求,不适宜种植小粒种咖啡。     

Hydration behavior and compressive strength of cement mixed with exploded wood fiber strand obtained by the water-vapor explosion process

Poor compatibility was found between exploded wood fiber strand (WFS) and cement due to the excessive presence of water-soluble degraded polysaccharides in extractives of exploded WFS obtained from weathered wood waste treated by the water-vapor explosion process (WVEP). This study presents some comparative results from a continuing investigation on the compressive strengths of exploded WFS–cement mixtures. Based on results previously obtained with the hydration test, the relation between hydration behavior and compressive strength of the mixture was explored. In addition, the effect of the curing age on compressive strength development of the mixture with selected additive chemicals was examined. The results supported the results of early studies with hydration tests indicating that adding MgCl₂ to the mixtures of exploded WFS mixed with quick-curing cement or ordinary Portland cement and a composite of MgCl₂ + CaO added to the mixture of exploded WFS and furnace-slag cement effectively improved the hydration behaviors; it greatly enhanced the compressive strengths of mixtures as well. Compressive strengths were strongly correlated to maximum hydration temperatures (T_max) of wood–cement mixtures influenced by the cement type, wood wastes (treated or not with WVEP), additive chemicals, and their content levels. The results also indicated that adding selected chemicals had no significant effect on compressive strength among the mixtures of exploded WFS mixed, respectively, with three types of cement at a curing age of 180 days. X-ray diffraction, scanning electron microscopy, and energy dispersive X-ray spectroscopy were used to identify the hydration products and to probe the element distribution of the mixture in the wood–cement interface zone from a fractured surface.Part of this report was presented at the 52nd Annual Meeting of the Japan Wood Research Society, Gifu, April 2002     

"三岩"造林困难地植被恢复技术研究与示范

湖南造林困难地类总面积达 10 0万hm2 。通过对 5个县 658hm2 试验示范林历时 9年的研究 ,解决了植被恢复技术问题。选出适宜的树、划种有马桑、芦竹、苦槠、牡荆和栓皮栎 5种 ,有发展前景的树种有柏木、铅笔柏和藏柏。选出了林分结构稳定 ,组成种长势好 ,可以肯定的有马桑十墨西哥柏浅层钙质幼年性岩性土等 6个配置模式。并提出和推广了撩壕整地和芦竹下挖上堆 ,施肥促长等造林技术。同时 ,定义了“三岩”造林困难地 ,提出了“三岩”造林困难地的生态环境特点。从土种的水平研究了树种与立地的适应性。     

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.     

Impact of relationships between test and training animals and among training animals on reliability of genomic prediction

One of the factors affecting the reliability of genomic prediction is the relationship among the animals of interest. This study investigated the reliability of genomic prediction in various scenarios with regard to the relationship between test and training animals, and among animals within the training data set. Different training data sets were generated from EuroGenomics data and a group of Nordic Holstein bulls (born in 2005 and afterwards) as a common test data set. Genomic breeding values were predicted using a genomic best linear unbiased prediction model and a Bayesian mixture model. The results showed that a closer relationship between test and training animals led to a higher reliability of genomic predictions for the test animals, while a closer relationship among training animals resulted in a lower reliability. In addition, the Bayesian mixture model in general led to a slightly higher reliability of genomic prediction, especially for the scenario of distant relationships between training and test animals. Therefore, to prevent a decrease in reliability, constant updates of the training population with animals from more recent generations are required. Moreover, a training population consisting of less‐related animals is favourable for reliability of genomic prediction.