ANN在森林资源预测中的应用研究

人工神经网络(ANN)方法是基于实例的方法,不需要考虑数学模型的内部结构,不需要假设前提条件,不需要人为地确定因子权重,作为一个黑箱综合地映射研究对象的整体性。应用人工神经网络多步预测方法对甘肃连城林场吐鲁沟营林区有林地面积进行预测,网络模型的最大相对误差为0 080 8％,最小相对误差达到0 0089％,平均为0.038 6％,表明预测值与实际值吻合程度很好,因此模型的精度较高,并且建模简单经预测,林场2000-2004年有林地面积稍有下降趋势,分别为2 873.2 hm2,2 618 7 hm2,2 484.5 hm2,2 346 hm2,2 171 6hm2。     

采收时间对蜡蚧轮枝菌分生孢子的萌发及致病力的影响

将蜡蚧轮枝菌Vp菌株在PDA培养基上23℃黑暗培养,分别于第5、15、20、25、30天后采收。将不同时间采收的分生孢子置于2％葡萄糖培养液内培养,16 h后检测其萌发率,结果表明,采收于第5天和第15天的分生孢子萌发率分别达到89.76％和94.98％,显著高于采收于第25天(30.27％)和第30天(6.12％)的孢子的萌发率;在PDA培养基培养5 d和15 d的分生孢子在相同浓度下对温室白粉虱的致病力分别达到83.40％和74.44％,显著高于培养了30 d的分生孢子的致病力(8.76％)。     

四川省外种猪雌激素受体基因对繁殖和生长性状的影响

本试验以四川省外种母猪的 3个品种 (大约克、长白、杜洛克 )为研究对象 ,采用PCR RFLPs的方法检测其ESR基因的PvuⅡ多态性 ,分析了该基因与产仔数及生长性状之间的关系。结果表明 :初产胎次中 ,ESR基因型间总产仔数 (TNB)和产活仔数 (NBA)差异极显著 (P <0 .0 1) ,BB和AA纯合子间TNB和NBA分别相差 5 .97和 3.72头 ,基因加性效应分别为每个B基因 2 .98和 1.86头 ;对于经产胎次 ,总产仔数 (TNB)在AA、AB基因型与BB基因型的差异达到 0 .0 1的极显著水平 ,产活仔数 (NBA)在AA基因型与BB基因型间显著差异 (P <0 .0 5 ) ,TNB和NBA母猪每窝BB纯合子比AA纯合子分别多 3.6 8和 2 .89头 ,基因的加性效应为每个B基因分别为 1.84和 1.4 4头。头胎和经产胎次中ESR基因型在初生窝重、2 0日龄头数和窝重、30 / 4 5日龄头数和窝重以及 70日龄窝重之间的差异普遍不显著 (P >0 .0 5 ) ,但是以上 6个性状在ESR基因的 3种基因型间存在BB >AB >AA的趋势     

黑毛和牛在内蒙古呼和浩特地区的繁育

黑毛和牛肉质在日本肉牛中占绝对优势，是世界闻名的独特肉牛品种。通过胚移在内蒙古呼和浩特繁育，表现良好，生长发育指标已达到日本国内品种标准。同黑白花奶牛杂交，其杂种经育肥，32月龄体重达624．8kg，屠宰率为56．3％，净肉率为49．9％；高档肉占净肉的11．6％，优质肉占净肉的22．7％，大理石花纹等级为1、2等级牛占76％。肉的品质均高于我国地方良种。     

Including an additional systematic environmental effect within a generation in an evaluation model improves accuracy of prediction of breeding values in a closed herd of pigs

The present study evaluated the advantage of mixed‐model techniques over a selection index under different magnitudes of an additional systematic environmental effect (ASEE) in terms of accuracy of prediction and expected genetic gain. The data attempted to simulate a closed herd in a pig breeding program. The base population (G₀) consisted of 10 males and 50 females. Six generations (G₀ to G₅) were selected by using a selection index of three traits without overlapping. Additional systematic environmental constants with four levels in a generation were assigned from a uniform distribution at different ranges. Breeding values of animals in the last generation (G₅) were estimated on the basis of an index of individual phenotype (SI‐U), SI‐U adjusted for ASEE using a least‐squares mean (SI‐A), best linear unbiased prediction using an animal model excluding ASEE (AM‐E), and an animal model including ASEE (AM‐I). Accuracy of prediction and expected genetic gain were larger by the animal model than by the selection index, even if heritability of the traits selected was high and ASEE was set to zero. When ASEE was zero, the accuracy of prediction and expected genetic gain given by SI‐U and AM‐I were similar to those given by SI‐A and AM‐E, respectively. However, the differences in accuracy and expected gain between SI‐U and AI‐A and between AM‐I and AM‐E increased as the range of ASEE increased. It was concluded that selection based on an animal model was more effective than index selection, even if the herd environment was uniform and traits with high heritability were selected, and that it should be always included in an evaluation model, however slight any systematic environmental effect may be in a closed herd.     

Improving management for higher reproduction accelerates genetic improvement in closed herd of swine

The present study compared responses to selection at different conception rates and litter sizes at weaning in a simulated closed herd in a swine breeding program. The base population consisted of 10 males and 50 females, and 10 generations of selection was practiced by using individual phenotype or best linear unbiased prediction of breeding values for a trait with heritability (h²) of either 0.2 or 0.5. The probability of conception in a single mating was assumed to be 0.8, 0.9 or 1.0. Litter size at weaning was sampled randomly from a normal distribution with mean 8, 10 or 12 and variance 8.1225. Genetic response increased by approximately 6% for h² = 0.2 and approximately 5% for h² = 0.5 at generation 10 when conception rate was increased from 0.8 to 1.0. However, litter size at weaning did not affect response to selection. In conclusion, improving conception rate by environmental management increases genetic response indirectly in a breeding program of a closed swine herd.     

A perspective on the measurement of time in plant disease epidemiology

The growth and development of plant pathogens and their hosts generally respond strongly to the temperature of their environment. However, most studies of plant pathology record pathogen/host measurements against physical time (e.g. hours or days) rather than thermal time (e.g. degree-days or degree-hours). This confounds the comparison of epidemiological measurements across experiments and limits the value of the scientific literature.     

几种缓释肥的氮释放特性以及对草坪草生长的影响

实验室内采用水浸泡法对尿素、3种缓效肥和山西省农业科学院土壤肥料研究所研制(自研草坪肥)的缓效肥的初期溶出率和微分溶出率进行了测定.其中尿素的初期溶出率为22.75%,超出了国际上公认的缓/控释肥的初期溶出率小于15%的指标,而微分溶出率为0.22%,也小于国际上公认的缓/控释肥的微分溶出率(0.25%～2.5%)指标.其他几种缓释肥的初期溶出率为8.73%～14.42%,微分溶出率为0.30%～2.11%,符合国际上公认的缓/控释肥的初期溶出率和微分溶出率指标.田间试验比较和研究了尿素、3种缓效肥和山西省农业科学院土壤肥料研究所研制的缓效肥对草坪草的干草产量和养分含量的影响,尿素和包衣尿素处理的草坪草的生长量前期较高,后期产草量较低,呈马鞍型.其他处理的草坪草干草产量则比较平缓,肥料的氮释放特性与草坪草生长趋势相同.不同肥料处理对草坪草的中量、微量元素含量有一定的影响.     

荷斯坦奶牛隐性乳房炎与乳用特征的相关性分析

随机抽取荷斯坦奶牛 472头 (1～ 11胎 )进行奶牛隐性乳房炎的检测 ,乳用特征性状 (楞角性、尻宽、尻角度、后肢侧视、蹄角度 )的线性评定 ,以及隐性乳房炎与乳用特征的相关性分析。结果表明 :奶牛隐性乳房炎的乳区阳性率与楞角性、尻宽、尻角度、后肢侧视、蹄角度的相关系数分别为 0 1171、0 10 3 0、0 0 681、0 0 180、-0 12 65 ,其中与楞角性、尻宽分别达到显著水平 (P <0 0 5 )的正相关 ,与蹄角度达极显著 (P <0 0 1)的负相关。奶牛阳性率与楞角性、尻宽、尻角度、后肢侧视、蹄角度的相关系数分别为 0 0 967、0 0 5 61、0 0 2 82、0 0 12 7和 -0 0 670 ,其中除与楞角性为显著水平 (P <0 0 5 )的正相关 (0 0 967)外 ,其余均不显著 (P >0 0 5 )。     

Body weight growth Model of Datong Yak in Qinghai

Summary:This study was conducted to develop a suitable model for describing the growth pattern of the yak. The data used consisted of body weight records of 76 growing yak aged between 5 to 37 months. Three mathematical models were applied to describe the growth curves during this development period:①Y1=20.105 + 11. 250x-0. 526x2 ;used for describing the growth curve of yak aged 5 to 13 months;②Y2 = -359.687 + 49. 977x - 1. 249x2 ;used for animals aged 13 to 25 months;and ③Y3 = -833. 339 + 63. 772x - 1. 019x2 ;used for animals aged 25 to 37 months.