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Article(id=1297139244196188859, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, articleNumber=null, orderNo=null, doi=10.12377/1671-4393.26.04.03, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=null, receivedDateStr=null, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1787191695497, onlineDateStr=2026-08-20, pubDate=1777046400000, pubDateStr=2026-04-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1787191695497, onlineIssueDateStr=2026-08-20, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1787191695497, creator=13701087609, updateTime=1787191695497, updator=13701087609, issue=Issue{id=1297139204312555864, tenantId=1146029695717560320, journalId=1296801528146919473, year='2026', volume='', issue='4', pageStart='2', pageEnd='121', issueExtLink='null', onlineDate='null', pubDate='1777046400000', pubDateStr='2026-04-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1787191685989, creator='13701087609', updateTime=1787192250596, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1297141572534038814, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1297141572534038815, tenantId=1146029695717560320, journalId=1296801528146919473, issueId=1297139204312555864, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=14, endPage=19, ext={EN=ArticleExt(id=1297139244422681276, articleId=1297139244196188859, tenantId=1146029695717560320, journalId=1296801528146919473, language=EN, title=Analysis of the Application Effects and Influencing Factors of Estrus Synchronization and Artificial Insemination Technology in Dairy Goats, columnId=1297134036074386131, journalTitle=China Dairy, columnName=REPRODUCTION & BREEDING, runingTitle=null, highlight=null, articleAbstract=
[Objective]

To investigate the effects of estrus synchronization and artificial insemination (AI) technology on the conception rate of dairy goats, providing technical support for improving breeding efficiency and standardized development of the industry.

[Method]

A total of 3 805 breeding does from 37 dairy goat farms in Longxian County, Shaanxi Province, were studied.Two breeding methods were compared: ①natural estrus+AI; and②estrus synchronization (using intravaginal sponges impregnated with fluorogestone acetate combined with PMSG and PG hormone treatments) +AI.The conception rate was determined via ultrasound pregnancy testing, and the effects of farming methods, insemination sites, breeding timing, and other factors were analyzed.

[Result]

The average conception rate in the estrus synchronization+AI group was 71.56%, significantly higher than that in the natural estrus group (68.56%).The optimal combination was semi-grazing and semi-penned farming (73.10%), cervical insemination (74.39%), and breeding in August (75.49%).

[Conclusion]

Estrus synchronization technology can significantly improve the conception rate of dairy goats, with its effectiveness influenced by farming models, operational protocols, and seasonal factors.Tailored implementation plans are recommended to promote high-quality industry development.

, authors=Juanjuan ZHOU1, Longli GE1, Yunlong CAO1, Xiaoli SHI1, Hongying LIU1, Huilong BIAN1, Chengang YI2, authorsList=Juanjuan ZHOU, Longli GE, Yunlong CAO, Xiaoli SHI, Hongying LIU, Huilong BIAN, Chengang YI, authorCompany=null, 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=1297139244762419901, articleId=1297139244196188859, tenantId=1146029695717560320, journalId=1296801528146919473, language=CN, title=奶山羊同期发情与人工授精技术的应用效果及影响因素分析, columnId=1297134036334432981, journalTitle=中国乳业, columnName=繁殖育种, runingTitle=null, highlight=null, articleAbstract=
［目的］

探究同期发情与人工授精技术对奶山羊受胎率的影响，为提升奶山羊良种繁育效率和产业标准化发展提供技术支撑。

［方法］

以陕西省陇县37个奶山羊场的3 805只繁殖母羊为研究对象，对比两种配种方式：①自然发情+人工输精；②同期发情（醋酸氟孕酮阴道海绵联合PMSG、PG激素处理）+人工输精。通过B超孕检统计受胎率，分析养殖方式、输精部位、配种时间等因素对结果的影响。

［结果］

同期发情+人工授精组的平均受胎率达71.56%，显著高于自然发情组（68.56%）。半放牧半舍饲（73.10%）、子宫颈口输精（74.39%）及8月配种（75.49%）的组合模式效果最优。

［结论］

同期发情技术可显著提高奶山羊受胎率，其效果受养殖模式、操作规范及季节因素综合影响，需结合奶山羊场个性化方案推广以促进产业高质量发展。

, authors=周娟娟1, 葛陇利1, 曹云龙1, 史晓莉1, 刘红颖1, 边会龙1, 伊晨刚2, authorsList=周娟娟, 葛陇利, 曹云龙, 史晓莉, 刘红颖, 边会龙, 伊晨刚, authorCompany=null, correspAuthors=null, authorNote=

周娟娟（1988-），女，陕西陇县人，硕士，畜牧师，研究方向为动物遗传育种与繁殖、畜牧技术推广与应用

葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

曹云龙（1982-），男，陕西陇县人，本科，兽医师，研究方向为动物疫病防控、畜牧技术推广与应用

史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

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周娟娟（1988-），女，陕西陇县人，硕士，畜牧师，研究方向为动物遗传育种与繁殖、畜牧技术推广与应用

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周娟娟（1988-），女，陕西陇县人，硕士，畜牧师，研究方向为动物遗传育种与繁殖、畜牧技术推广与应用

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葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

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葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

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曹云龙（1982-），男，陕西陇县人，本科，兽医师，研究方向为动物疫病防控、畜牧技术推广与应用

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曹云龙（1982-），男，陕西陇县人，本科，兽医师，研究方向为动物疫病防控、畜牧技术推广与应用

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史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

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史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

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刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

"}, bioImg=null, bioContent=

刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

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边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

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边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

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伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

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伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

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奶山羊同期发情与人工授精技术的应用效果及影响因素分析
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周娟娟 1 , 葛陇利 1 , 曹云龙 1 , 史晓莉 1 , 刘红颖 1 , 边会龙 1 , 伊晨刚 2
中国乳业 | 繁殖育种 2026,(4): 14-19
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中国乳业 |繁殖育种 2026 , (4) : 14 -19
奶山羊同期发情与人工授精技术的应用效果及影响因素分析
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周娟娟（1988-），女，陕西陇县人，硕士，畜牧师，研究方向为动物遗传育种与繁殖、畜牧技术推广与应用

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葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

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葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

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曹云龙（1982-），男，陕西陇县人，本科，兽医师，研究方向为动物疫病防控、畜牧技术推广与应用

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史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

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史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

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刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

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刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

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边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

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边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

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伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

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伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

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周娟娟1, 葛陇利1, 曹云龙1, 史晓莉1, 刘红颖1, 边会龙1, 伊晨刚2
作者信息
  • 1．陕西省陇县畜牧工作站，陕西 陇县 721200
  • 2．宁波三生生物科技股份有限公司，浙江 宁波 315000
作者简介:

周娟娟（1988-），女，陕西陇县人，硕士，畜牧师，研究方向为动物遗传育种与繁殖、畜牧技术推广与应用

葛陇利（1983-），男，陕西陇县人，硕士，畜牧师，研究方向为畜牧技术推广与应用

曹云龙（1982-），男，陕西陇县人，本科，兽医师，研究方向为动物疫病防控、畜牧技术推广与应用

史晓莉（1979-），女，陕西陇县人，大专，兽医师，研究方向为奶山羊标准化技术

刘红颖（1970-），男，陕西陇县人，本科，高级兽医师，研究方向为畜牧技术推广与应用

边会龙（1970-），男，陕西陇县人，本科，研究员，研究方向为奶山羊标准化养殖及良种繁育技术推广及应用

伊晨刚（1986-），男，陕西咸阳人，硕士，研究方向为羊繁殖技术推广。

Analysis of the Application Effects and Influencing Factors of Estrus Synchronization and Artificial Insemination Technology in Dairy Goats
Juanjuan ZHOU1, Longli GE1, Yunlong CAO1, Xiaoli SHI1, Hongying LIU1, Huilong BIAN1, Chengang YI2
Affiliations
  • 1.Animal Husbandry Workstation of Long County, Shaanxi Province, Long Shaanxi 721200
  • 2.Ningbo Sansheng Biotechnology Co., Ltd., Ningbo Zhejiang 315000
出版时间: 2026-04-25 doi: 10.12377/1671-4393.26.04.03
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摘要
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［目的］

探究同期发情与人工授精技术对奶山羊受胎率的影响，为提升奶山羊良种繁育效率和产业标准化发展提供技术支撑。

［方法］

以陕西省陇县37个奶山羊场的3 805只繁殖母羊为研究对象，对比两种配种方式：①自然发情+人工输精；②同期发情（醋酸氟孕酮阴道海绵联合PMSG、PG激素处理）+人工输精。通过B超孕检统计受胎率，分析养殖方式、输精部位、配种时间等因素对结果的影响。

［结果］

同期发情+人工授精组的平均受胎率达71.56%，显著高于自然发情组（68.56%）。半放牧半舍饲（73.10%）、子宫颈口输精（74.39%）及8月配种（75.49%）的组合模式效果最优。

［结论］

同期发情技术可显著提高奶山羊受胎率，其效果受养殖模式、操作规范及季节因素综合影响，需结合奶山羊场个性化方案推广以促进产业高质量发展。

奶山羊  /  同期发情  /  人工授精  /  受胎率  /  繁殖效率
[Objective]

To investigate the effects of estrus synchronization and artificial insemination (AI) technology on the conception rate of dairy goats, providing technical support for improving breeding efficiency and standardized development of the industry.

[Method]

A total of 3 805 breeding does from 37 dairy goat farms in Longxian County, Shaanxi Province, were studied.Two breeding methods were compared: ①natural estrus+AI; and②estrus synchronization (using intravaginal sponges impregnated with fluorogestone acetate combined with PMSG and PG hormone treatments) +AI.The conception rate was determined via ultrasound pregnancy testing, and the effects of farming methods, insemination sites, breeding timing, and other factors were analyzed.

[Result]

The average conception rate in the estrus synchronization+AI group was 71.56%, significantly higher than that in the natural estrus group (68.56%).The optimal combination was semi-grazing and semi-penned farming (73.10%), cervical insemination (74.39%), and breeding in August (75.49%).

[Conclusion]

Estrus synchronization technology can significantly improve the conception rate of dairy goats, with its effectiveness influenced by farming models, operational protocols, and seasonal factors.Tailored implementation plans are recommended to promote high-quality industry development.

dairy goat  /  estrus synchronization  /  artificial insemination  /  conception rate  /  reproductive efficiency
周娟娟, 葛陇利, 曹云龙, 史晓莉, 刘红颖, 边会龙, 伊晨刚. 奶山羊同期发情与人工授精技术的应用效果及影响因素分析. 中国乳业, 2026 , (4) : 14 -19 . DOI: 10.12377/1671-4393.26.04.03
Juanjuan ZHOU, Longli GE, Yunlong CAO, Xiaoli SHI, Hongying LIU, Huilong BIAN, Chengang YI. Analysis of the Application Effects and Influencing Factors of Estrus Synchronization and Artificial Insemination Technology in Dairy Goats[J]. China Dairy, 2026 , (4) : 14 -19 . DOI: 10.12377/1671-4393.26.04.03

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doi: 10.12377/1671-4393.26.04.03
  • 首发时间：2026-08-20
  • 出版时间：2026-04-25
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    1．陕西省陇县畜牧工作站，陕西 陇县 721200
    2．宁波三生生物科技股份有限公司，浙江 宁波 315000
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2种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
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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