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| 1 | 天然牧草营养价值的季节性动态变化对放牧绵羊采食量和生产性能影响显示文摘天然牧草的营养价值随季节发生动态变化具有一定的规律,这种动态变化对放牧绵羊的营养状况有很大影响.我国北方放牧绵羊生产水平较低且不稳定与这种动态变化规律密切相关.绵羊在冬春季节内瘤胃内环境处于不良状况和血浆指标变化说明,能量和蛋白质缺乏、干草质量低劣、寒冷应激以及它们之间的互作效应是我国北方放牧绵羊的主要营养限制因素.为了进一步提高放牧绵羊的生产水平,必须采取系统整体调控和补饲措施. | 王洪荣 冯宗慈 卢德勋 任家琨 李恒荣 D.W.Peter J.Lindsay D.B.Purser | 1992 | 内蒙古畜牧科学1992，，3： | 23 |
| 2 | 应用瘤胃液氨氮、挥发性脂肪酸和血浆尿素氮水平检测放牧绵羊营养状况的研究显示文摘本文研究了放牧绵羊瘤胃液氨氮和血浆尿素氮浓度的动态变化规律:放牧绵羊瘤胃液氨氮和血浆尿素氨水平在青草期内较高,而在枯草期内较低;蠕虫感染对放牧绵羊瘤胃液氨氮和血浆尿素氮浓度有一定影响,当绵羊受到蠕虫严重感染时,使其瘤胃液氨氮水平降低,而使血浆尿素氮水平升高.绵羊瘤胃液氨氮和血浆尿素氮水平受其粗蛋白质和能量进食水平的显著影响,采用SYSTAT统计软件包建立的多元回归数学模型,提出了采用瘤胃液氨氮浓度(NH_3-N:mg/100ml),代谢能进食量(MEI:MJ/日·只)或血浆尿素氮水平(PUN:mg/100ml)估测放牧绵羊蛋白质进食量(CPI:g/日·只)的数学模型为: CPI=-66.405-6.959(NH_3-N)+0.931(NH_3-N)~2+20.018PUN-0∶604PUN^2 CPI=34.501-12.276(NH_3-N)+0.859(NH_3-N)~2+10.139MEI+0.165MEI^2 利用瘤胃液氨氮浓度(NH_3-N:mg/100ml)和挥发性脂肪酸浓度(TVFA:mM%)估测绵羊代谢能进食量(MEI:MJ/日·只)的数学模型为: MEI=6.397+0.477(NH_3-N)-0. | 王洪荣 冯宗慈 卢德勋 李玉荣 任家琨 李志明 李恒荣 张富 王庆基 D.W.Peter J.Lindsay D.B.Purser. | 1992 | 内蒙古畜牧科学1992，，3： | 15 |
| 3 | 草地牧草饲料的营养动态与放牧绵羊营养限制因素的研究显示文摘对天然草地牧草和补饲草料的营养动态进行三年的检测研究,证实了天然牧草的营养价值随其生育期而变化的规律.在夏、秋季节内,牧草中粗蛋白质含量较高(13.71%~19.09%),中性洗涤纤维、酸性洗涤纤维和木质素含量较低,牧草的体外消化率较高(60%~70%),其代谢能浓度也较高(7.9~11.8MJ/kg);在冬春季节内牧草的粗蛋白含量较低(5%左右),中洗纤维和酸洗纤维含量最高,木质素含量高达11%左右,牧草的体外消化率很低(21.85%~45.36%),其代谢能值也较低(2.8~6.5MJ/kg),而这一时期内补饲干草的质量较差,其粗蛋白含量较低(7%左右),木质素含量较高(8%左右),体外消化率很低(37.7%~47.4%);补饲精料的营养价值较高,但因其价格昂贵而限制其用量.放牧绵羊的营养供需矛盾十分突出,呈现周期性的营养缺乏,特别在冬春季节内,绵羊体内氮源供应不足、补饲干草质量差、青饲料缺乏和寒冷应激等,成为放牧绵羊的主要营养限制因素. | 王洪荣 冯宗慈 卢德勋 李玉荣 王学荣 任家琨 李志明 王庆基 李恒荣 张富 D.W.Peter J.Lindsay D.B.Purser | 1993 | 内蒙古畜牧科学1993，，4： | 12 |
| 4 | The place identity-performance relationship among tourism entrepreneurs: A structural equation modelling analysis显示文摘 | Rob Hallak Graham Brown Noel J.Lindsay | | 0，，： | 1 |
| 5 | Health‐economic analysis: cost‐effectiveness of scheduled maintenance treatment with infliximab for Crohn’s disease – modelling outcomes in active luminal and fistulizing disease in adults显示文摘 | J.LINDSAY Y. S.PUNEKAR J.MORRIS G.CHUNG‐FAYE | 2008 | Alimentary Pharmacology & Therapeutics2008，，1： | 1 |
| 6 | 放牧绵羊瘤胃液挥发性脂肪酸的变化规律及其受蠕虫感染的影响显示文摘选用敖汉细毛羊的育成母羊和成年母羊进行了三年试验.第一年试验在同一饲养水平下设对照组,常规驱虫组和缓释胶囊驱虫组;第二年和第三年又在常规饲养和改进饲养两种饲养方案下进行驱虫试验.所有试验羊在以披碱草、羊草和冰草为主的同类草场上放牧,每年进行三次驱虫处理.试验表明:放牧绵羊瘤胃液中挥发性脂肪酸浓度随季节呈动态变化.其挥发性脂肪酸总量(TVFA)在青草期内较高;在枯草期内较低.放牧绵羊瘤胃发酵水平较低,特别在冬春季节内瘤胃发酵处于最低水平,发酵质量不高.另外,绵羊瘤胃液pH值随季节变动幅度较小.但发现在枯草期内的瘤胃液pH值高于青草期,特别在冬春季节内较高.蠕虫感染严重的时期内,蠕虫会影响绵羊瘤胃发酵水平,使瘤胃液挥发性脂肪酸浓度降低;但常规驱虫法与缓释胶囊驱虫法间差异不显著.改进饲养与常规饲养方案对绵羊瘤胃液挥发性脂肪酸总量无显著影响. | 王洪荣 冯宗慈 卢德勋 王晓冬 任家琨 李志明 李恒荣 王庆基 张富 D.B.Purser D.W.Peter J.Lindsay | 1992 | 内蒙古畜牧科学1992，，3： | 1 |
| 7 | A machine learning approach for regional geochemical data:Platinum-group element geochemistry vs geodynamic settings of the North Atlantic Igneous Province显示文摘Whilst traditional approaches to geochemistry provide valuable insights into magmatic processes such as melting and element fractionation,by considering entire regional data sets on an objective basis using machine learning algorithms(MLAs),we can highlight new facets within the broader data structure and significantly enhance previous geochemical interpretations.The platinum-group element(PGE)budget of lavas in the North Atlantic Igneous Province(NAIP)has been shown to vary systematically according to age,geographic location and geodynamic environment.Given the large multi-element geochemical data set available for the region,MLAs were employed to explore the magmatic controls on these shifting concentrations.The key advantage of using machine learning in analysis is its ability to cluster samples across multi-dimensional(i.e.,multi-element)space.The NAIP data set is manipulated using Principal Component Analysis(PCA)and t-Distributed Stochastic Neighbour Embedding(t-SNE)techniques to increase separability in the data alongside clustering using the k-means MLA.The new multi-element classification is compared to the original geographic classification to assess the performance of both approaches.The workflow provides a means for creating an objective high-dimensional investigation on a geochemical data set and particularly enhances the identification of metallogenic anomalies across the region.The techniques used highlight three distinct multi-element end-members which successfully capture the variability of the majority of elements included as input variables.These end-members are seen to fluctuate in prominence throughout the NAIP,which we propose reflects the changing geodynamic environment and melting source.Crucially,the variability of Pt and Pd are not reflected in MLA-based clustering trends,suggesting that they vary independently through controls not readily demonstrated by the NAIP major or trace element data structure(i.e.,other proxies for magmatic differentiation).This data science approach thus highlights that PGE(here signalled by Pt/Pd ratio)may be used to identify otherwise localised or cryptic geochemical inputs from the subcontinental lithospheric mantle(SCLM)during the ascent of plume-derived magma,and thereby impact upon the resulting metallogenic basket. | Jordan J.Lindsay Hannah S.R.Hughes Christopher M.Yeomans Jens C.Ø.Andersen Iain McDonald | 2021 | Geoscience Frontiers2021，12，3： | 0 |
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