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journalId=1296801528146919473, language=EN, title=In-depth Analysis of Reproductive Data and Efficiency Optimization Strategies in Modern Dairy Farms, columnId=1319995134121455784, journalTitle=China Dairy, columnName=DAIRY CATTLE REPRODUCTIVE HEALTH MANAGEMENT, runingTitle=null, highlight=null, articleAbstract=A large-scale dairy farm in China suffered an annual profit loss of up to 8 million RMB due to neglect of key reproductive indicators.This case highlights that reproductive efficiency has become a decisive factor affecting the economic benefits and sustainable development of dairy farms under intensive farming systems.This study focused on reproductive data from large-scale farms,systematically analyzing the calculation methods,influencing factors,and improvement strategies for key indicators such as 21-day pregnancy rate,breeding rate,conception rate,and 150-day non-pregnancy rate.Using real production data, practical application approaches are illustrated,and comprehensive improvement plans are proposed,including calibration of management software parameters,enhancing timeliness of estrus detection and pregnancy diagnosis,and optimizing synchronization protocols.The results showed that through in-depth interpretation and precise application of reproductive data,farms can fully grasp the reproductive status of the herd,significantly improve expansion efficiency,accelerate genetic progress,and optimize production benefits.Efficient management of reproductive data serves as a critical foundation for achieving refined operations and maximizing economic benefits in large-scale dairy farms., authors=FU Chang, LI Qiang, authorsList=FU Chang, LI Qiang, authorCompany=Ningbo Sansheng Biological Technology Co.,Ltd.,Ningbo Zhejiang 315000, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1321421053621027554, articleId=1321421051704230625, tenantId=1146029695717560320, journalId=1296801528146919473, language=CN, title=现代牧场繁殖数据深度解析与效率优化策略, columnId=1319995133970460838, journalTitle=中国乳业, columnName=奶牛繁殖健康管理专栏, runingTitle=null, highlight=null, articleAbstract=国内某万头规模牧场因忽视关键繁殖指标管理,年均利润损失高达800 万元。这一案例凸显了在规模化奶牛养殖体系中,繁殖效率已成为影响牧场经济效益与可持续发展的决定性因素。本文以规模化牧场繁殖数据为核心,系统解析21 天妊娠率、参配率、受胎率及150 天未孕率等关键指标的计算方法、影响因素与提升策略,结合真实生产数据阐述其实际应用路径,并提出包括管理软件参数校准、发情揭发与孕检时效强化、同期流程优化等在内的综合改进方案。研究结果表明,通过对繁殖数据的深入解读与精准应用,牧场能够全面把握牛群繁殖状况,显著提升扩繁效率、加速遗传进展并优化生产效益。繁殖数据的高效管理是规模化牧场实现精细化运营和经济效益最大化的重要基石。, authors=付畅, 李强, authorsList=付畅, 李强, authorCompany=宁波三生生物科技股份有限公司,浙江宁波 315000, correspAuthors=null, authorNote=付畅(1988-),男,黑龙江齐齐哈尔人,本科,研究方向为临床兽医及畜牧兽医技术;李强(1972-),男,江苏南通人,专科,研究方向为临床兽医及畜牧兽医技术。, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=8jcjrJqUiGuKqRszMsMkog==, pdfFileSize=5200910, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null)}, authors=[Author(id=1324017978601255544, tenantId=1146029695717560320, journalId=null, articleId=1321421051704230625, orderNo=null, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=null, email=null, emailSecond=null, emailThird=null, correspondingAuthor=null, authorType=null, ext={EN=AuthorExt(id=null, tenantId=null, journalId=1296801528146919473, articleId=1321421051704230625, 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现代牧场繁殖数据深度解析与效率优化策略
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付畅, 李强
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现代牧场繁殖数据深度解析与效率优化策略
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付畅, 李强
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付畅(1988-),男,黑龙江齐齐哈尔人,本科,研究方向为临床兽医及畜牧兽医技术;李强(1972-),男,江苏南通人,专科,研究方向为临床兽医及畜牧兽医技术。
In-depth Analysis of Reproductive Data and Efficiency Optimization Strategies in Modern Dairy Farms
FU Chang, LI Qiang
Affiliations
    Ningbo Sansheng Biological Technology Co.,Ltd.,Ningbo Zhejiang 315000
doi: 10.12377/1671-4393.25.08.01
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国内某万头规模牧场因忽视关键繁殖指标管理,年均利润损失高达800 万元。这一案例凸显了在规模化奶牛养殖体系中,繁殖效率已成为影响牧场经济效益与可持续发展的决定性因素。本文以规模化牧场繁殖数据为核心,系统解析21 天妊娠率、参配率、受胎率及150 天未孕率等关键指标的计算方法、影响因素与提升策略,结合真实生产数据阐述其实际应用路径,并提出包括管理软件参数校准、发情揭发与孕检时效强化、同期流程优化等在内的综合改进方案。研究结果表明,通过对繁殖数据的深入解读与精准应用,牧场能够全面把握牛群繁殖状况,显著提升扩繁效率、加速遗传进展并优化生产效益。繁殖数据的高效管理是规模化牧场实现精细化运营和经济效益最大化的重要基石。
奶牛繁殖管理  /  21 天妊娠率  /  参配率  /  受胎率  /  150 天未孕率  /  平均泌乳天数
A large-scale dairy farm in China suffered an annual profit loss of up to 8 million RMB due to neglect of key reproductive indicators.This case highlights that reproductive efficiency has become a decisive factor affecting the economic benefits and sustainable development of dairy farms under intensive farming systems.This study focused on reproductive data from large-scale farms,systematically analyzing the calculation methods,influencing factors,and improvement strategies for key indicators such as 21-day pregnancy rate,breeding rate,conception rate,and 150-day non-pregnancy rate.Using real production data, practical application approaches are illustrated,and comprehensive improvement plans are proposed,including calibration of management software parameters,enhancing timeliness of estrus detection and pregnancy diagnosis,and optimizing synchronization protocols.The results showed that through in-depth interpretation and precise application of reproductive data,farms can fully grasp the reproductive status of the herd,significantly improve expansion efficiency,accelerate genetic progress,and optimize production benefits.Efficient management of reproductive data serves as a critical foundation for achieving refined operations and maximizing economic benefits in large-scale dairy farms.
dairy cattle reproduction management  /  21-day pregnancy rate  /  breeding rate  /  conception rate  /  150-day non-pregnancy rate  /  average days in milk
付畅, 李强. 现代牧场繁殖数据深度解析与效率优化策略. 中国乳业, 2025 , (8) : 2 -7 . DOI: 10.12377/1671-4393.25.08.01
FU Chang, LI Qiang. In-depth Analysis of Reproductive Data and Efficiency Optimization Strategies in Modern Dairy Farms[J]. China Dairy, 2025 , (8) : 2 -7 . DOI: 10.12377/1671-4393.25.08.01

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2025年第卷第8期
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2种不同金属材料的力学参数
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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