紫薇花器官发育调控基因LiFUL1的分离与表达分析

紫薇湘韵具有只开花不结实的特性,表现为花药不开裂、花粉败育、胚珠发育异常。紫薇红叶为普通紫薇,可正常开花结实。以紫薇湘韵为试验材料,采用RT-PCR方法,从花芽中分离得到1个FRUITFULL(FUL)同源基因,命名为LiFUL1(GenBank登录号为MN894547)。序列分析结果表明,其cDNA开放阅读框长度为753 bp,编码251个氨基酸,分子质量为28.453 13 ku。序列比对和保守结构域分析结果表明,LiFUL1基因编码蛋白具有典型的MADS-MEF2和K-box 结构域,C末端含有一个保守性高的基序euFUL MOTIF,因此,LiFUL1属于MADS家族的FUL/AP1亚家族。进化分析表明,紫薇的LiFUL1基因编码的蛋白氨基酸序列与木本植物蓝桉的FUL/AP1氨基酸序列亲缘关系最近。qRT-PCR分析结果表明,LiFUL1基因在紫薇湘韵花器官分化阶段的花萼分化时期、花瓣与雄蕊分化时期、雄蕊与雌蕊分化时期的表达量显著高于紫薇红叶。另外,利用原核表达系统在大肠埃希菌中成功表达了LiFUL1蛋白,为进一步研究LiFUL1基因的功能奠定了基础。     

实证分析商贸流通对沿海农业经济增长的影响

以商贸流通对于沿海农业经济增长的问题为研究对象,实证研究结果表明,商贸流通对于农业经济总产值和农业人均可支配收入均具有促进作用.总体而言,商贸流通行业总产值对农业人均可支配收入影响的强度较对农业经济总产值的影响更显著,从而从实证研究角度证明商贸流通有利于沿海经济的增长.提出了应创新商贸流通农业经济运作模式,优化商贸流通农业经济发展环境,加强商贸流通农业经济人才培养,推动商贸流通农业冷链物流发展,构建商贸流通农业经济产业联盟等促进农业经济发展的对策.     

信阳地方文献与信阳地方文化的关系

信阳地方文献与信阳地方文化之间有着十分紧密的关系。独具特色的信阳文化是信阳地方文献产生的基础。同时,信阳地方文献对信阳地方文化的发展起着十分重要的作用:信阳地方文献推动了信阳地方物质文化的发展;信阳地方文献促进了信阳地方精神文化的建设。     

中国玉米市场形势分析与未来10年展望

2013年,中国玉米产量再创新高,消费需求相对低迷,进出口同比下降,供求关系较为宽松,价格总体弱势运行。预计未来10年,中国玉米生产继续稳步增长,消费需求增速较快但将明显放缓,价格总体继续上涨,玉米进口将进一步扩大。最后,指出影响未来玉米市场走势的因素主要包括气象、政策、贸易以及通胀、汇率等不确定性因素。     

从六力互动模型角度分析天润乳业市场战略

以天润乳业为企业战略分析基点,利用六力互动模型分析天润乳业与供方、买方、替代品厂商、互补品厂商、同行业厂商、潜在进入者六种市场利益主体之间结成的动态竞争及合作关系。基于竞合共生的现实基础,分析天润乳业与六种市场利益主体间竞争与合作的前提条件及相互转换关系,为进一步探寻可持续发展之路,提出转变思维定式、坚持差异化战略、优化产品结构的建议。     

Estimates of genetic variance and variance of predicted genetic merits using pedigree or genomic relationship matrices in six Brown Swiss cattle populations for different traits

The amount of variance captured in genetic estimations may depend on whether a pedigree‐based or genomic relationship matrix is used. The purpose of this study was to investigate the genetic variance as well as the variance of predicted genetic merits (PGM) using pedigree‐based or genomic relationship matrices in Brown Swiss cattle. We examined a range of traits in six populations amounting to 173 population‐trait combinations. A main aim was to determine how using different relationship matrices affect variance estimation. We calculated ratios between different types of estimates and analysed the impact of trait heritability and population size. The genetic variances estimated by REML using a genomic relationship matrix were always smaller than the variances that were similarly estimated using a pedigree‐based relationship matrix. The variances from the genomic relationship matrix became closer to estimates from a pedigree relationship matrix as heritability and population size increased. In contrast, variances of predicted genetic merits obtained using a genomic relationship matrix were mostly larger than variances of genetic merit predicted using pedigree‐based relationship matrix. The ratio of the genomic to pedigree‐based PGM variances decreased as heritability and population size rose. The increased variance among predicted genetic merits is important for animal breeding because this is one of the factors influencing genetic progress.     

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.     

The effect of including genomic relationships in the estimation of genetic parameters of functional traits in pigs

The term functionality in animal breeding is used for traits that increase the efficiency of production by lowering the input cost, such as animal health and leg weakness related to longevity. The main objective of the study was to investigate the impact of genomic information, in a multivariate variance component analysis, on some of these traits. In addition, the effect of the inclusion was studied by testing the model's prediction ability based on best linear unbiased estimates for fixed and random effects. The material in this study consists of phenotypes from 76 683 animals, of which 4933 animals are genotyped. The heritabilities for front leg conformation, stayability, osteochondrosis and arched back, estimated using the traditional pedigree, were found to be between 0.12 and 0.29. When using the combined genomic and pedigree relationship matrix, the heritabilities were between 0.14 and 0.36. The results show that the combined relationship matrix can be used for the estimation of (co)variance components, and that the predictive ability of the model in this study marginally increases with the inclusion of genomic information.     

Genomic best linear unbiased prediction method reflecting the degree of linkage disequilibrium

The degree of linkage disequilibrium (LD) between markers differs depending on the location of the genome; this difference biases genetic evaluation by genomic best linear unbiased prediction (GBLUP). To correct this bias, we used three GBLUP methods reflecting the degree of LD (GBLUP‐LD). In the three GBLUP‐LD methods, genomic relationship matrices were conducted from single nucleotide polymorphism markers weighted according to local LD levels. The predictive abilities of GBLUP‐LD were investigated by estimating variance components and assessing the accuracies of estimated breeding values using simulation data. When quantitative trait loci (QTL) were located at weak LD regions, the predictive abilities of the three GBLUP‐LD methods were superior to those of GBLUP and Bayesian lasso except when the number of QTL was small. In particular, the superiority of GBLUP‐LD increased with decreasing trait heritability. The rates of QTL at weak LD regions would increase when selection by GBLUP continues; this consequently decreases the predictive ability of GBLUP. Thus, the GBLUP‐LD could be applicable for populations selected by GBLUP for a long time. However, if QTL were located at strong LD regions, the accuracies of three GBLUP‐LD methods were lower than GBLUP and Bayesian lasso.     

对官方兽医体系构架的设想

随着国家官方兽医制度的推行,各地也在加快官方兽医管理体制和队伍建设。但在实践中的官方兽医登记制度下,人员数量无法满足现实兽医工作的需要,造成官方兽医制度的推行面临瓶颈。本文借兽医立法调研为契机,结合基层工作实际,对今后官方兽医体系构架提出个人的设想,以期对兽医体制的改革和兽医立法工作提供参考。