从“全面转型”看当前安徽省林业发展的新对策

本文在把握十二五时期安徽省经济和社会发展进入全面转型、加速崛起新形势和国际国内生态建设面临严峻挑战的基础上,结合安徽林业具体实际,分析研究了当前林业发展现状和存在的问题,强调转变经济发展方式这一主题,提出了抓住重点,时不我待,加快安徽林业转型发展的对策。     

对福州市旅游景区的认知研究

运用NMDS方法研究了福州市居民对福州市旅游景区的认知。通过空间定位图分析发现,在居民的认知中福州市10家旅游景区被聚合为3个组群：自然风光类旅游景区组群、人文风貌和自然风貌旅游景区组群、海岛风光旅游景区和博物馆旅游景区组群;在当地居民对旅游景区的感知情况方面,有4家旅游景区的感知率小于60%;在到访情况方面,旅游景区到访率只有3家大于70%,有2家介于35%和55%之间,有5家小于30%。通过特征属性和旅游景区之间的配适分析与水平距离分析发现,居民对前2个组群的评价较高,对后1个组群的评价较低。据此提出了福州市旅游发展的建议。     

Association analysis for detecting significant single nucleotide polymorphisms for phosphorus-deficiency tolerance at the seedling stage in soybean [Glycine max (L) Merr.]

Tolerance to low-phosphorus soil is a desirable trait in soybean cultivars. Previous quantitative trait locus (QTL) studies for phosphorus-deficiency tolerance were mainly derived from bi-parental segregating populations and few reports from natural population. The objective of this study was to detect QTLs that regulate phosphorus-deficiency tolerance in soybean using association mapping approach. Phosphorus-deficiency tolerance was evaluated according to five traits (plant shoot height, shoot dry weight, phosphorus concentration, phosphorus acquisition efficiency and use efficiency) comprising a conditional phenotype at the seedling stage. Association mapping of the conditional phenotype detected 19 SNPs including 13 SNPs that were significantly associated with the five traits across two years. A novel cluster of SNPs, including three SNPs that consistently showed significant effects over two years, that associated with more than one trait was detected on chromosome 3. All favorable alleles, which were determined based on the mean of conditional phenotypic values of each trait over the two years, could be pyramided into one cultivar through parental cross combination. The best three cross combinations were predicted with the aim of simultaneously improving phosphorus acquisition efficiency and use efficiency. These results will provide a thorough understanding of the genetic basis of phosphorus deficiency tolerance in soybean.     

鸡脚重性状的全基因组关联分析

鸡(Gallus gallus)脚重性状为鸡产业中的重要经济性状.为了揭示鸡脚重性状的遗传基础,寻找可用于鸡脚改良的分子标记,本研究以核心群京海黄鸡为实验动物,测定其脚重,利用简化基因组测序技术在整个基因组范围内检测与脚重相关的SNPs.共检测到16个与脚重相关的SNPs位点,其中13个集中分布在4号染色体上72.8～77.9 Mb区域;2个SNP位点rs475641139和rs475548810达到5％ Bonferroni全基因组显著水平(P＜5.5E-07),其余位点达到全基因组潜在显著水平(P＜1.1E-05).筛选每个SNP周围1 Mb区域内的基因,共找到9个可能的候选基因,并使用基因本体论(Gene Ontology,GO)数据库对9个候选基因的细胞组分、分子功能和参与的生物学进程进行了分析.结果表明二氢蝶啶还原酶(dihydropteridine deductase,QDPR)基因、LIM域结合蛋白2(LIM domain-binding protein 2,LDB2)基因、类184B家族(family with sequence similarity 184 memberB,FAM184B)基因、复合信号免疫球蛋白J结合蛋白(recombination signal binding protein for immunoglobulin kappa J region,RBPJ)基因、纤维母细胞生长因子结合蛋白2(fibroblast growth factor-binding protein 2,FGFBP2)基因、富亮氨酸重复蛋白5(F-box and leucine-rich repeat protein 5,FBXL5)基因、胆囊收缩素受体A(cholecystokinin receptor type A,CCK1R)基因、肌动蛋白互作蛋白1 (WD repeat containing protein 1,WDR1)基因和类桶状蛋白4(tubby like protein 4,TULP4)9个基因和4号染色体72.8～77.9 Mb区域可能为影响鸡脚重性状的重要候选基因和潜在功能区域.本研究为鸡脚重性状的标记辅助选择提供了理论依据.     

Genome-wide Association Study of Teats Number Traits in Kele Pigs

Teats number is one of the most important reproductive traits,and closely related to the economic benefit in pig industry.In order to reveal the underlying genetics of left teats number,right teats number and total teats number traits,a genome-wide association study（GWAS）was performed.Samples of DNA were collected to genotyping for 22 Kele pigs using the Illumina Porcine SNP 60K Chip.The GWAS was performed using a mixed-effects model and linear regression approach.When a genome-wide threshold was determined using the Bonferroni method（P<2.06E-5),4 single nucleotide polymorphism（SNP）markers were potentially associated with left teats number,right teats number and total teat number.However,3 SNPs were significant associated and 18 SNPs were potentially associated in chromosomes level.304 Ensembl genes were retrieved around 1 cM of the associated SNPs.The candidate genes in Wnt and Fgf signaling pathway（BTRC,FGF5,FGF8,BMP3,RASGEF1B and HMGB3）might have effect on target traits.These results provided valuable information about the selective breeding for Kele pigs.     

基于生态文明价值观的家庭林场发展研究

家庭林场经营模式的优点,除了创新经营管理体制,解放农村生产力,调动广大林农的生产经营积极性,促进林农脱贫致富外,还在于该模式内涵丰富的生态文明价值理念,能够将生态文明价值观在代际间传递延续,指导生产实践,保护生态环境,实现永续发展,这对促进生态文明建设、构建美丽中国具有重大的现实作用和深远的影响意义。本研究在阐明家庭林场内涵丰富的生态文明价值理念的基础上,阐释了发展家庭林场的经济、社会和生态效益,并针对目前家庭林场发展存在的问题提出对策建议。     

鸡Hsc70基因5′侧翼区SNP与耐热性状的相关分析

为研究Hsc70基因作为鸡抗病育种中一种分子标记的可能性,本试验利用克隆测序技术对清远麻鸡、广东温氏矮脚黄鸡、灵山鸡和隐性白羽洛克鸡4个品种共20个个体Hsc70基因的5′侧翼区进行多态性筛查,发现10处变异,包括8个SNPs和2个插入/缺失突变。通过分析,选取C.-521A〉C位点,利用PCR-RFLP方法分析了此位点在灵山鸡和隐性白羽洛克鸡群体中的基因型分布,所得分型结果与测定的耐热性状（T3、皮质酮、CD3＋、CD4＋和CD8＋）进行关联分析,结果表明：常温状态下（15℃）,在隐性白羽洛克鸡群体中,位点C.-521A〉C与CD3＋、CD4＋和CD8＋显著相关（P〈0.05）,其中AA基因型个体CD3＋值显著低于AC基因型个体,而CD4＋与CD8＋值显著高于AC基因型个体;热应激状态下（35℃）,在灵山鸡群体中,位点C.-521A〉C与CD8＋极显著相关（P〈0.01）,CC基因型个体CD8＋值极显著高于AA和AC基因型。     

培育富硒产业团体标准的探讨

介绍了富硒产业的发展趋势、标准化对产业的影响,分析了培育和发展团体标准对促进富硒产业发展的积极意义,探讨了发展富硒产业团体标准的有利条件,并提出了开展团体化标准工作的建议。     

农民用水协会在基层灌区管理中的作用及存在的问题

对近年昌吉州灌区协会发挥的作用进行了分析,并就目前存在的主要问题进行了讨论,以期促进基层灌区的管理。     

Emerging issues in genomic selection

Genomic selection (GS) is now practiced successfully across many species. However, many questions remain, such as long-term effects, estimations of genomic parameters, robustness of genome-wide association study (GWAS) with small and large datasets, and stability of genomic predictions. This study summarizes presentations from the authors at the 2020 American Society of Animal Science (ASAS) symposium. The focus of many studies until now is on linkage disequilibrium between two loci. Ignoring higher-level equilibrium may lead to phantom dominance and epistasis. The Bulmer effect leads to a reduction of the additive variance; however, the selection for increased recombination rate can release anew genetic variance. With genomic information, estimates of genetic parameters may be biased by genomic preselection, but costs of estimation can increase drastically due to the dense form of the genomic information. To make the computation of estimates feasible, genotypes could be retained only for the most important animals, and methods of estimation should use algorithms that can recognize dense blocks in sparse matrices. GWASs using small genomic datasets frequently find many marker-trait associations, whereas studies using much bigger datasets find only a few. Most of the current tools use very simple models for GWAS, possibly causing artifacts. These models are adequate for large datasets where pseudo-phenotypes such as deregressed proofs indirectly account for important effects for traits of interest. Artifacts arising in GWAS with small datasets can be minimized by using data from all animals (whether genotyped or not), realistic models, and methods that account for population structure. Recent developments permit the computation of P-values from genomic best linear unbiased prediction (GBLUP), where models can be arbitrarily complex but restricted to genotyped animals only, and single-step GBLUP that also uses phenotypes from ungenotyped animals. Stability was an important part of nongenomic evaluations, where genetic predictions were stable in the absence of new data even with low prediction accuracies. Unfortunately, genomic evaluations for such animals change because all animals with genotypes are connected. A top-ranked animal can easily drop in the next evaluation, causing a crisis of confidence in genomic evaluations. While correlations between consecutive genomic evaluations are high, outliers can have differences as high as 1 SD. A solution to fluctuating genomic evaluations is to base selection decisions on groups of animals. Although many issues in GS have been solved, many new issues that require additional research continue to surface.