参考群筛选方法及规模对基因型填充准确性的影响

为探究基于A矩阵期望遗传关系最大化（maximizing the expected genetic relationship for matrix A,RELA）、基于A矩阵目标群体遗传方差最小化（minimized the target population genetic variance for matrix A,MCA）、平均亲缘关系最大化（the highest mean kinship coefficients,KIN）、随机选择（random selection,RAN）、共同祖先筛选（common ancestor,CA）等不同参考群筛选方法及参考群规模对基因型填充准确性的影响。本研究使用矮小型黄羽肉鸡作为试验群体,采用鸡600K SNP芯片（Affymetrix Axion HD genotyping array）进行基因分型,测定435羽子代公鸡45、56、70、84、91日龄体重。利用Beagle软件将低密度SNP芯片填充为高密度SNP芯片数据,比较不同参考群筛选方法、参考群规模对基因型填充准确性的影响,以及填充芯片基因组预测准确性。结果表明,使用Beagle 4.0结合系谱信息进行填充效果最佳,其次为Beagle 4.0,而Beagle 5.1填充效果最差。使用MCA方法筛选参考群进行基因型填充准确性最高,使用RAN方法筛选参考群进行基因型填充准确性最低,MCA、RELA、CA 3种方法基因型填充准确性差别较小。相比其他方法,使用MCA方法筛选个体作为参考群将低密度SNP芯片填充至高密度SNP芯片进行基因组选择的预测准确性较高,与真实高密度SNP芯片的基因组预测准确性相差甚微。随着参考群规模增大,基因型填充准确性也随之增加,但增速逐渐下降,最后趋于平缓。综上所述,可以通过参考群筛选方法构建参考群以及控制参考群规模,以保证基因型填充和基因组预测准确性并节省成本,本研究为基因型填充在畜禽遗传育种中的应用提供技术参考。     

The value of incorporating carcass trait phenotypes in terminal sire selection indexes to improve carcass weight and quality of heavy lambs

Genetic selection for carcass traits is paramount to maximize the profitability and long‐term sustainability of any meat‐producing livestock species. The main objectives of this research were to evaluate the efficiency of indicator traits for the genetic improvement of lamb carcass traits and to determine the value of including carcass traits into terminal sire selection indexes for the Canadian sheep industry. The carcass traits included hot carcass weight (HCW), fat depth at the GR site (FATGR) and average carcass conformation score (AVGCONF), and were measured on heavy lambs (slaughter age less than 365 days and HCW greater than 16.3 kg) in commercial abattoirs. Growth traits were found to be moderately efficient indicator traits for the genetic improvement of HCW but selection on ultrasound traits was necessary to substantially improve the carcass quality traits (FATGR and AVGCONF). Economic selection indexes were designed by adding various combinations of carcass traits into the Canadian Sheep Genetic Evaluation System terminal indexes. Records measured on individuals and progeny were assumed to be the sources of information for live animal and carcass traits, respectively. The changes in index accuracy, efficiency and expected correlated response were used to assess the value of their inclusion. HCW was found to have a large economic value, and its inclusion into terminal selection indexes was expected to substantially increase their accuracy (0.08–0.12 points) and efficiency (20%–30%). However, further including FATGR (measured 110 mm from the carcass midline over the 12th rib) and AVGCONF had little impact on the accuracy (≤0.03) and efficiency (1%–7%) of the proposed indexes. Thus, the inclusion of carcass traits into the existing terminal selection indexes could be beneficial for the genetic improvement of HCW, but further research is needed to determine optimal methods of increasing carcass fatness and muscularity.     

农业推广方法选择研究——以陕西省三原县为例

本文以陕西省三原县为例,采用典型调查方法,运用问卷调查、农户访问等资料搜集手段,研究各种因素对农业推广方法选择的影响.研究结果表明:推广对象的经济状况、采用创新的不同阶段以及推广对象的文化程度等都影响到农业推广方法的选择,而要最大限度地提高推广效果需要综合采用多种农业推广方法.     

溪岸蠼螋对棉铃虫的捕食能力

为明确棉田溪岸蠼螋 Labidura riparia 对棉铃虫的控害潜能, 在实验室条件下观察和测定了溪岸蠼螋不同龄期的若虫、雌雄成虫对棉铃虫幼虫、蛹和成虫的捕食能力以及其5龄若虫和雌雄成虫的捕食选择性。结果表明:不同发育阶段的溪岸蠼螋都不捕食棉铃虫完整的蛹体, 但对棉铃虫幼虫和成虫都具有较强的捕食能力。其中, 雌性溪岸蠼螋成虫的捕食能力最强, 对棉铃虫1龄幼虫日捕食量最大, 为(31.3±1.1)头。1龄溪岸蠼螋若虫也具有一定的捕食能力, 对棉铃虫1龄幼虫日捕食量为(1.7±0.7)头。不同龄期的溪岸蠼螋对相同龄期棉铃虫幼虫的捕食能力随龄期增加而增大。对1~3龄棉铃虫幼虫,溪岸蠼螋雌成虫捕食能力最强,其次是溪岸蠼螋雄成虫,再次是溪岸蠼螋5龄若虫。但是,对棉铃虫4~6龄幼虫和雌雄成虫,溪岸蠼螋雌雄成虫和5龄若虫的捕食量差异不显著。捕食选择试验表明:溪岸蠼螋5龄若虫和雌雄成虫对棉铃虫1～4龄幼虫均表现正喜好性, 对5～6龄棉铃虫幼虫和雌雄成虫表现负喜好性。     

Decision Making for Vendor Selection With AHP and Random Disposal of DEA

The vendor selection directly relatives to the procurement quality and influences the competition of the corporation in the supply chains. It is important and practical to study the vendor selection method. The measuring criteria and the method for vendor selection are analyzed. The authors put forward an new method which is combined with both the advantage of analytic hierarchy process (AHP ) and random disposal of data envelopment analysis ( DEA) for vendor selection. It introduces a random variable which solves the disadvantage of the weigh value in DEA which convert subjective estimation to objective opinion in the course of the vendor selecting. The method can improve the reliability of the vendor selection.     

小麦轮回选择的初步实践

利用太谷核不育小麦,开展以抗锈和矮秆丰产为主要目标的轮回选择,选择压分别为5.6%和4.7%.抗锈群通过一轮混合选择,条锈病反应型0—1级的抗病株率和严重度25%以下的轻病株率较基础群体分别提高12.5%和5.1%.矮秆丰产群采用两种轮选方案.经两轮选择看出,改良半姐妹法其群体的株高比基础群体明显降低6.2厘米,其余性状有向选择目标集中的趋势;混合选择法其群体除穗粒数外,其余性状进展趋势与上相同.     

介电式脱绒棉种分选机的研制

为了提高棉花种子的发芽率，采用了先进的计算机控制技术，研制了介电式棉种分选机，达到了利用种子的介电特性进行分选的目的。试验表明，该机工作稳定可靠，操作方便．完全满足种子精选的要求，具有广泛的推广前景。     

小黄鱼热泵干燥工艺及设备选型分析

研究了不同热泵干燥温度下小黄鱼的干燥特性,并对其干燥品质进行分析。结果表明在干燥温度55℃、铺放密度为6.48 kg/m2的条件下干燥时间为13.5 h,干燥品质最优。在综合考虑能耗、企业加工条件和产品品质的前提下,将生产工艺参数确定为:干燥温度60℃、铺放密度为6~7 kg/m2,干燥时间为10~12 h。根据企业日处理量5.5~6.0 t的加工要求,通过对产能核算及加工成本计算,确定设备选型方案为:1台GHRH-510型热泵干燥机与2台GHRH-340型热泵干燥机,该方案投资回报期短,社会效益明显。     

属性识别模型在水利水电规划方案综合优选中的应用

针对目前水利水电规划方案综合优选方法中存在的问题，提出了基于变异系数权重的水利水电规划方案综合优选属性识别模型。该模型采用反映评价指标特征值之间差异性的参数——变异系数作为评价指标的权重，减小了权重确定的主观性，且模型求解方法简单易学。实例分析表明，这一模型和方法是合理、可行的。     

基于Matlab的根系断层图像分割处理算法

根据植物根系原位形态可视化研究的需要,利用Matlab提供的图像处理算法,编制了根系断层图像分割处理算法的优选整合程序,用多种不同算法组合对根系CT原位图像进行实例检验,采用最终测量精度法作为评价准则,对分割效果进行分析研究。研究结果表明,在90%的置信水平下,处理模块的不同组合顺序以及每个模块中不同算法的选择对最终分割效果有显著的影响,各因素对分割效果总变异贡献率的大小排序为分割(46.1%)、灰度调整(17.9%)、分割前滤波(4.5%)、分割后滤波(2.6%)、执行序列(0.5%)。根据所设计的实验例证,提出了处理流程及算法中的较优组合。