饲草饲料资源开发对青海省海东市经济发展的影响

畜牧产业是青海省海东市重要的传统产业,历来受到政府重视。饲草饲料资源开发对畜牧产业的发展提供重要支撑,但由于农民不了解,干部不重视等因素,影响饲草饲料资源开发及产业发展。随着现代化工业体系的建立,科学技术的发展,推动饲草饲料技术的发展。饲草饲料资源开发对地区农业资源循环利用、农民增收、经济发展的作用越来越凸显。饲草饲料资源开发是发展现代畜牧业的必然趋势,是拉动产业链条、调整农业结构、改善生态环境的需要,对地区经济发展有积极促进作用。青海省海东市在饲草饲料资源开发中仍存在一系列的问题,需要探索有效对策,促进海东市饲草饲料产业的发展和海东市的经济发展。 [关键词]饲草饲料|资源开发|青海省|海东市|经济发展     

A proposal to leverage high-quality veterinary diagnostic laboratory large data streams for animal health,public health,and One Health

Test data generated by ~60 accredited member laboratories of the American Association of Veterinary Laboratory Diagnosticians (AAVLD) is of exceptional quality. These data are captured by 1 of 13 laboratory information management systems (LIMSs) developed specifically for veterinary diagnostic laboratories (VDLs). Beginning ~2000, the National Animal Health Laboratory Network (NAHLN) developed an electronic messaging system for LIMS to automatically send standardized data streams for 14 select agents to a national repository. This messaging enables the U.S. Department of Agriculture to track and respond to high-consequence animal disease outbreaks such as highly pathogenic avian influenza. Because of the lack of standardized data collection in the LIMSs used at VDLs, there is, to date, no means of summarizing VDL large data streams for multi-state and national animal health studies or for providing near-real-time tracking for hundreds of other important animal diseases in the United States that are detected routinely by VDLs. Further, VDLs are the only state and federal resources that can provide early detection and identification of endemic and emerging zoonotic diseases. Zoonotic diseases are estimated to be responsible for 2.5 billion cases of human illness and 2.7 million deaths worldwide every year. The economic and health impact of the SARS-CoV-2 pandemic is self-evident. We review here the history and progress of data management in VDLs and discuss ways of seizing unexplored opportunities to advance data leveraging to better serve animal health, public health, and One Health.     

宁夏回族自治区养殖粪污资源化利用现状调查与分析

畜禽粪污资源化利用,是农村生态环境保护工作的重点和难点,对于改善农村生态环境质量、提高农业绿色发展水平、促进农产品增产提质具有重要意义。本文为进一步了解宁夏回族自治区（简称“宁夏”）畜禽粪污资源化利用现状,在宁夏银川市、石嘴山市、吴忠市、中卫市、固原市5 市,对四大产业主导区畜禽养殖产业基本情况、全区及各市不同类型和规模的畜禽养殖粪污资源化利用现状及问题、不同养殖类型和规模的资源化主推技术及典型案例等情况进行了实地调研。结果表明：2020年,宁夏畜禽存栏总量2 046.0 万头（只）,其中,奶牛57.4 万头、肉牛120.7 万头、羊596.1 万只、生猪90.0 万头、家禽1 181.8 万只。畜禽粪污产生量3 025.3 万吨,全区粪污资源化利用总量为2 961.6 万吨,综合利用率达到97.9%,规模养殖场设施配套率达99.0%,该地区畜禽粪污综合利用主要途径有肥料化利用、能源化利用、清洁再生回用等。     

豫西丘陵地区果牧结合立体生态园设计的探讨

根据豫西丘陵地区生态、经济、社会条件以及目前农牧业生产中存在的突出问题，提出果牧结合立体生态园建设是该地区生态农业发展的重要途径。并在调查和初步研究基础上设计了“畜（禽）—果”、“畜（禽）—沼—果”等果牧结合模式，分析了生态园建设研究中要探讨的具体内容。     

农业机械管理的创新与发展

农业现代化是衡量国家现代化的一个重要指标。在国家强农惠农政策的引导下,东海县应逐步改变传统的农业生产模式,实现农业生产集中化、机械化、现代化。同时可尝试多行业、各技术融合,促进农机化和农机管理工作更上一层楼。     

农田信息管理决策支持系统的设计与实现——基于Silverlight

随着我国农业的发展,农田分布范围不断扩大,产生的农田信息繁多而复杂。基于WebGIS的农业决策支持系统已在一些地区的现代化农业生产中得到了示范应用,但由于其客户端采用Ajax或Flex技术实现,存在多媒体功能不足及平台可移植性较差等问题。为此,借助WebGIS开放性平台,采用微软Silverlight技术,设计开发了基于Silverlight的农田信息管理决策支持系统,实现了地图基本操作、地块信息管理决策及环境信息管理决策等功能。该系统可以辅助用户管理农田信息,并为施肥及生产计划提供决策支持。在黑龙江红星农场的试用结果表明:系统自投入使用后运行正常,并能提供信息管理及适宜辅助决策支持。     

信息技术用于汽车纵梁制造的探讨

文章以为汽车行业的健康发展提供指导和借鉴为目的,主要对汽车的纵梁平面图纸集成化制造中诸如参数提取、纵梁3D模型构建技术和Agent的网络集成技术的应用方法等进行了相关论述,以此为实现汽车行业的可持续发展而做出贡献。     

Vachellia karroo leaf meal: a promising non-conventional feed resource for improving goat production in low-input farming systems of Southern Africa

Among a vast number of forage trees, Vachellia karroo (Acacia karroo) remains one of the most widely distributed indigenous plant legumes in Southern Africa. The plant possesses some striking attributes, such as rapid growth rate, drought tolerance, adaptation to alkaline and acidic sterile soils, and resistance to a variety of edaphic and temperature changes. In past years V. karroo was recognised to be a major threat to rangeland productivity owing to its invasive nature. Research interest has shifted from its eradication as an unwanted plant to its utilisation as a feed resource for livestock. Extensive utilisation of V. karroo is mainly hindered by the presence of tannins and spines. Prospects to lessen the adverse effects of the anti-nutritional influences are now recognised. Vachellia karroo possesses desirable fatty acid profiles, and high protein and mineral contents that can improve animal performance. Presently, the use of V. karroo for goat production in communal areas is restricted owing to limited evidence for its nutritional value as animal feed. The present review, therefore, seeks to demonstrate the utility potential of V. karroo to improve growth performance, carcass characteristics, chevon quality, meat fatty acid profiles and as a natural anti-helminth for goats raised under an extensive system of production.     

Accuracy of genomic prediction using imputed whole‐genome sequence data in white layers

There is an increasing interest in using whole‐genome sequence data in genomic selection breeding programmes. Prediction of breeding values is expected to be more accurate when whole‐genome sequence is used, because the causal mutations are assumed to be in the data. We performed genomic prediction for the number of eggs in white layers using imputed whole‐genome resequence data including ~4.6 million SNPs. The prediction accuracies based on sequence data were compared with the accuracies from the 60 K SNP panel. Predictions were based on genomic best linear unbiased prediction (GBLUP) as well as a Bayesian variable selection model (BayesC). Moreover, the prediction accuracy from using different types of variants (synonymous, non‐synonymous and non‐coding SNPs) was evaluated. Genomic prediction using the 60 K SNP panel resulted in a prediction accuracy of 0.74 when GBLUP was applied. With sequence data, there was a small increase (~1%) in prediction accuracy over the 60 K genotypes. With both 60 K SNP panel and sequence data, GBLUP slightly outperformed BayesC in predicting the breeding values. Selection of SNPs more likely to affect the phenotype (i.e. non‐synonymous SNPs) did not improve the accuracy of genomic prediction. The fact that sequence data were based on imputation from a small number of sequenced animals may have limited the potential to improve the prediction accuracy. A small reference population (n = 1004) and possible exclusion of many causal SNPs during quality control can be other possible reasons for limited benefit of sequence data. We expect, however, that the limited improvement is because the 60 K SNP panel was already sufficiently dense to accurately determine the relationships between animals in our data.     

国家种质多年生牧草圃资源整理整合及共享

简要介绍了国家多年生牧草圃概况及资源保存状况,阐述了多年生牧草圃资源整理、整合及数字化表达现状,提出了资源共享利用的框架;指出了在牧草资源整理整合中存在的问题及对策.