四川地区藏猪戊型肝炎病毒的检测和遗传演化分析

旨在调查四川地区藏猪戊型肝炎病毒（hepatitis E virus，HEV）的流行情况和遗传演化，作者用RT-PCR法对2018—2020年采集自四川省甘孜藏族自治州和阿坝藏族自治州的22个藏猪场332份藏猪粪便样本进行HEV检测，并对阳性样本进行基因分型。RT-PCR检测结果表明HEV核酸阳性率为20.48%（68/332，95% CI=16.3%~25.2%），22个规模藏猪场中HEV猪场阳性率为77.27%（17/22，95% CI=54.6%~92.2%），健康样本阳性率为2.86%（3/105，95% CI=0.6%~8.1%），腹泻样本阳性率为28.63%（65/227，95% CI=22.8%~35.0%），系统进化分析显示所有阳性株均为G4型。为了进一步研究该地区流行毒株的演化过程，以贝叶斯进化分析软件进行分歧时间估算，结果表明，藏猪流行毒株的分歧时间最早为1999年，最晚为2016年。并分别从每年的样本中挑选1份阳性样本得到全基因组序列，核酸序列相似性为89.5%~93.1%。通过对3条全基因组重组分析发现SWU/301/2019存在重组现象，SWU/301/2019重组区域位于ORF1的3 746—4 655 bp。本研究首次对四川地区藏猪源HEV进行调查，结果表明四川藏猪中存在一定程度的HEV感染，为四川地区对藏猪感染HEV的防治以及深入研究四川藏猪源HEV遗传变异及生物学特性提供了参考依据。     

以“猪疫情”与“猪周期”叠加致肉价波动为契机建立新时代立体生态养殖产业链

该文从2019年中国生猪和猪肉产品价格大幅波动而带动CPI快速上调的“高通胀风险”及与工业生产PPI下降的“高通缩风险”关联性,探讨了推动猪肉价格快速上涨的机制。难控性“猪疫情”、规律性“猪周期”、投机性“猪炒作”及泛化性“外贸战”是促进肉产品价格快速上涨的“启动”、“叠加”、“内讧”及“外推”四大机制,并建议以此为机遇,充分利用新时代人们消费理念的绝对绿色健康性和恩施山区区域的相对独立分散性,克服浮躁性无序养殖心态,建立不受“猪周期”影响和少受“猪疫情”影响的“种-养-销”绿色立体生态产业链,使其与“猪炒作”脱代际,与“外贸战”失偶联,逐步形成新时代理性养殖和健康养殖与理性消费和健康消费的良性循环。     

基于智能算法的猪饲料配方优化数学模型

在多种原料配比过程中，营养指标因素复杂的实际情况及控制成本保证收益的现实需求，文章结合智能算法背景，进行猪饲料配方优化设计，建立猪饲料配方模型，采用智能算法求解饲料配方的过程，对于生猪饲料配方进行建模，同时优化出饲料配方。结果表明，智能算法的猪饲料配方优化能够解决多种原料配比以及多个营养指标复杂因素，实现快速计算和生产处理，对企业生产者、销售经营者、实际消费者具有十分重大的价值与现实意义。 [关键词]智能算法|猪饲料|配方优化|数学模型     

Improvement,identification, and target prediction for miRNAs in the porcine genome by using massive,public high-throughput sequencing data

Despite the broad variety of available microRNA (miRNA) research tools and methods, their application to the identification, annotation, and target prediction of miRNAs in nonmodel organisms is still limited. In this study, we collected nearly all public sRNA-seq data to improve the annotation for known miRNAs and identify novel miRNAs that have not been annotated in pigs (Sus scrofa). We newly annotated 210 mature sequences in known miRNAs and found that 43 of the known miRNA precursors were problematic due to redundant/missing annotations or incorrect sequences. We also predicted 811 novel miRNAs with high confidence, which was twice the current number of known miRNAs for pigs in miRBase. In addition, we proposed a correlation-based strategy to predict target genes for miRNAs by using a large amount of sRNA-seq and RNA-seq data. We found that the correlation-based strategy provided additional evidence of expression compared with traditional target prediction methods. The correlation-based strategy also identified the regulatory pairs that were controlled by nonbinding sites with a particular pattern, which provided abundant complementarity for studying the mechanism of miRNAs that regulate gene expression. In summary, our study improved the annotation of known miRNAs, identified a large number of novel miRNAs, and predicted target genes for all pig miRNAs by using massive public data. This large data-based strategy is also applicable for other nonmodel organisms with incomplete annotation information.     

绿色富硒生物猪饲料中AFB1达标生产工艺优化研究

饲料中黄曲霉毒素(AFB₁)容易超标,检出率达80%~100%,毒性大,具强致癌性,可抑制生猪免疫机能,降低动物生产性能,引起动物继发感染,还会在动物产品中残留而威胁人类健康,给生猪养殖带来经济损失,降低猪肉食品安全性。本文通过使用先进固体发酵系统设备和益生菌发酵技术,采用单因素试验和响应面中试优化,获得发酵降解猪饲料AFB₁的最佳工艺参数为硒浓度0.3 mg/kg,发酵时间12 h,量子波强度30 Hz,益生菌菌种组合CGMCC NO.17328混合CGMCC NO.15611。该工艺将猪饲料AFB₁量从63.41μg/kg降解到2.98μg/kg,降解率达到95.30%,AFB₁含量达到国家饲料安全标准。生产工艺适合养猪场低成本快速生产AFB₁达标猪饲料。     

食用菌合作社成员参与品牌建设意向的影响因素

推动食用菌农业合作社品牌建设是提升合作社发展水平的重要途径,能够极大促进食用菌合作社资源的高效利用,推动乡村产业振兴的步伐,进而有效加快我国食用菌产业的国际化进程。为进一步引导农业合作社成员积极参与品牌建设,对合作社成员参与品牌建设意向的影响因素进行了探究。结果表明,以下三个方面是食用菌合作社成员对参与标准化生产意向的影响程度最为强烈;影响因素还有以下3个方面:一是对于食用菌销售收益的满意程度;二是借助合作社销售食用菌的占比;三是食用菌合作社决策的民主性。     

非洲猪瘟对中国生猪市场和产业发展影响分析

受非洲猪瘟疫情、环保等因素影响,生猪产能快速深度下降,未来2 a猪肉供给偏紧特征明显,生猪价格快速进入新一轮上涨周期,未来养殖收益将连续3 a处于较好水平,未来2 a猪肉进口预期创新高。短期来看,非洲猪瘟影响下产销区供给过剩和供给偏紧交替出现,猪价由区域分化演变为普遍性上涨。受非洲猪瘟防控政策、产业生物安全水平提升需求和近期出台的产业支持政策等因素影响,中国生猪产业的生产和屠宰布局、流通模式、消费结构、猪肉贸易、价格周期等发生深刻变革。非洲猪瘟导致中国生猪养殖模式向适度规模转变,"公司+农户"成为主要发展模式,屠宰产能由销区向产区转移,管理和防疫成本提高,生猪产能恢复速度将较缓慢,猪肉消费加速向冷鲜肉转变,在肉类消费结构中比重将进一步下降,未来猪肉进口保持较高水平将成为常态。要有效实施非洲猪瘟分区防控、保障生猪市场稳定,需要通过加强区域化防控机制的顶层设计和立法,优化非洲猪瘟强制性扑杀补贴机制,加强基层兽医体系建设,实施"政府+企业+养殖户"联防联控,降低疫病传播风险,推动生猪产业可持续发展。     

生猪保险查勘定损工作中的生物安全风险防范措施探讨

在非洲猪瘟防控新形势下,各猪场都高度重视生物安全,对生物安全风险防范工作提出了新的要求。在这种情况下,过去生猪保险查勘定损中的一些传统做法已经不能适应新形势,出现了猪场封闭式管理和查勘定损工作相冲突,病死猪理赔监督不到位、死亡原因不明、处理不及时以及部分查勘员生物安全意识淡薄等现象。对此,有关部门和机构应加强生物安全培训,采用网络和电子化等手段变革传统工作方式,在保险机构和畜牧兽医部门间加强联动和信息共享,把查勘定损、无害化处理和疫病监测溯源工作有机结合,把生物安全风险降到最低。     

Genome-wide detection of selective signatures in a Jinhua pig population

The aim of this study was to detect evidence for signatures of recent selection in the Jinhua pig genome. These results can be useful to better understand the regions under selection in Jinhua pigs and might shed some lights on groups of genes that control production traits. In the present study, we performed extended haplotype homozygosity(EHH) tests to identify significant core regions in 202 Jinhua pigs. A total of 26 161 core regions spanning 636.42 Mb were identified, which occupied approximately 28% of the genome across all autosomes, and 1 158 significant(P0.01) core haplotypes were selected. Genes in these regions were related to several economically important traits, including meat quality, reproduction, immune responses and exterior traits. A panel of genes including ssc-mir-365-2, KDM8, RABEP2, GSG1L, RHEB, RPH3AL and a signal pathway of PI3K-Akt were detected with the most extreme P-values. The findings in our study could draw a comparatively genome-wide map of selection signature in the pig genome, and also help to detect functional candidate genes under positive selection for further genetic and breeding research in Jinhua and other pigs.