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In-depth Analysis of Reproductive Data and Efficiency Optimization Strategies in Modern Dairy Farms
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China Dairy | 2025, (8) : 2 - 7
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China Dairy | 2025, (8): 2-7
• DAIRY CATTLE REPRODUCTIVE HEALTH MANAGEMENT •
In-depth Analysis of Reproductive Data and Efficiency Optimization Strategies in Modern Dairy Farms
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FU Chang, LI Qiang
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    Ningbo Sansheng Biological Technology Co.,Ltd.,Ningbo Zhejiang 315000
doi: 10.12377/1671-4393.25.08.01
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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
Year 2025 volume Issue 8
36
3
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doi: 10.12377/1671-4393.25.08.01
  • Online Date:2026-10-26
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表12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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