Application of ultrasonic imaging technology in beef cattle breeding management

The aim of this study was to explore in depth the application of ultrasonic imaging technology in beef cattle reproduction management in order to improve the efficiency and management of beef cattle reproduction. In this study, ultrasonographic diagnostic techniques were used to follow up the follicles and corpus luteum in the uterus and ovaries of dairy cows at different stages of development as well as at different periods of gestation of dairy cows, and to detect the effects of different fattening conditions of the cows and the number of litters on the sitting rate. The diameter of mature follicles was generally around 16 mm, and the majority of them were 11–20 mm in diameter. Ultrasonography was used to detect early pregnancy in cows at 33–55 d. Ultrasound was used to identify the sex of the foetus most easily at 70–80 d. The results of this study showed that the sex of the foetus was most easily identified in cows at 70–80 d. The fat of the cow and the number of births also had a significant impact on pregnancy rates. Ultrasound imaging technology has an important application value in the management of beef cattle reproduction, and in pregnancy detection, it can achieve early and accurate diagnosis, improve the accuracy of detection, and differentiate between heifers in estrus and pregnant heifers. In addition, it can also be used for foetal sex identification at a specific period of time, providing a basis for breeding programmes.

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Publication Details

Journal
Journal of Radiation Research and Applied Sciences
Published
2024-10-31
DOI
https://doi.org/10.1016/j.jrras.2024.101167
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.10
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article

Application of ultrasonic imaging technology in beef cattle breeding management

Yanyan Yang, P Erdenetogtokh, Lede Su, Xiaoze Li et al.
2 citations
Journal of Radiation Research and Applied Sciences
Genetic and phenotypic traits in livestock
1.10
article

Application of ultrasonic imaging technology in beef cattle breeding management

Yanyan Yang, P Erdenetogtokh, Lede Su, Xiaoze Li, Hui Bai, Suhebateer Tomed, Otgonjargal Sambuu
article en
2 citations

Abstract

The aim of this study was to explore in depth the application of ultrasonic imaging technology in beef cattle reproduction management in order to improve the efficiency and management of beef cattle reproduction. In this study, ultrasonographic diagnostic techniques were used to follow up the follicles and corpus luteum in the uterus and ovaries of dairy cows at different stages of development as well as at different periods of gestation of dairy cows, and to detect the effects of different fattening conditions of the cows and the number of litters on the sitting rate. The diameter of mature follicles was generally around 16 mm, and the majority of them were 11–20 mm in diameter. Ultrasonography was used to detect early pregnancy in cows at 33–55 d. Ultrasound was used to identify the sex of the foetus most easily at 70–80 d. The results of this study showed that the sex of the foetus was most easily identified in cows at 70–80 d. The fat of the cow and the number of births also had a significant impact on pregnancy rates. Ultrasound imaging technology has an important application value in the management of beef cattle reproduction, and in pregnancy detection, it can achieve early and accurate diagnosis, improve the accuracy of detection, and differentiate between heifers in estrus and pregnant heifers. In addition, it can also be used for foetal sex identification at a specific period of time, providing a basis for breeding programmes.

Journal of Radiation Research and Applied SciencesVol. 17(4)
Mongolian University of Life Sciences (MN), Inner Mongolia Academy of Agricultural & Animal Husbandry Sciences (CN)
Zero hunger
Openalex Percentile: Top 18%
Genetic and phenotypic traits in livestock
1.10
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Application of ultrasonic imaging technology in beef cattle breeding management — Yanyan Yang, P Erdenetogtokh, et al. · Journal of Radiation Research and Applied Sciences (2024) | TGRS Research Map | TGRS