The genetic distances between cattle breeds were calculated and relationships between these breeds were analyzed on the basis of polymorphism of genes encoding seven blood proteins (N = 22 breeds) and four milk proteins (N = 14 breeds). The study was performed using cluster and cladistic analysis, as well as multidimensional scaling. The conventional systems of classification of cattle breeds are reviewed in genetic terms, and the history of breeds and their evolution are discussed.
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Reprod Domest Anim
January 2025
College of Animal Science and Technology, Hebei Technology Innovation Center of Cattle and Sheep Embryo, Hebei Agricultural University, Baoding, Hebei, China.
The aim of the present study was to evaluate the effects of spatially and/or temporally asynchronous transfer of in vivo embryos at different stages in ewes during the breeding season. Four experiments were carried out. In Experiment 1, 207 blastocysts that had been frozen and thawed were transferred into the oviducts of 43 day two recipients, the oviducts of 23 day six recipients, and the uteri of 141 day six recipients, respectively.
View Article and Find Full Text PDFCell Commun Signal
January 2025
Institute of Animal Reproduction and Food Research, Olsztyn, Poland.
Cryopreservation of bull sperm, crucial for breeding and assisted reproduction, often reduces sperm quality due to oxidative stress. This study examines how oxidative stress during cryopreservation affects peroxiredoxin 5 (PRDX5) and peroxiredoxin 6 (PRDX6) proteins, leading to their translocation and oligomerization in bull sperm. Increased reactive oxygen species (ROS) and nitric oxide (NO) levels were linked to reduced mitochondrial potential, higher DNA fragmentation, and increased membrane fluidity, prompting PRDX5 to move intracellularly and PRDX6 to the cell membrane.
View Article and Find Full Text PDFFood Res Int
January 2025
Frontiers Science Center for Animal Breeding and Sustainable Production (Huazhong Agricultural University), Ministry of Education, Wuhan 430070, China; Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China. Electronic address:
Establishing a high-throughput detection technology for amino acid (AA) content in milk using mid-infrared (MIR) spectroscopy has profound implications for enhancing nutritional value of milk, identifying superior milk sources, producing specialty dairy products, and expanding Dairy Herd Improvement (DHI) metrics. The aim of this study was to evaluate the effectiveness of MIR spectroscopy in predicting the content of 15 individual total AA (TAAs) and 16 free AA (FAAs) in bovine milk as well as to investigate the major factors affecting the phenotypic variability of AA content. From March 2023 to March 2024, 513 milk samples were collected from 10 Holstein dairy farms in China and analyzed using Bentley spectrometers for MIR measurements.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Clinic for Ruminants, Department of Clinical Veterinary Medicine, Vetsuisse Faculty, University of Bern, 3012 Bern, Switzerland.
The purpose of this study was to investigate the evolution of digit health (DH) on Swiss dairy farms participating in a nationwide DH program and to identify risk factors associated with poor DH. Specially trained claw trimmers recorded disorders of the digits (DOD) electronically during routine trimmings between January 2020 and June 2023. The first part of the study was a non-randomized controlled implementation study, comparing the evolution of DH in 75 herds that received professional on-farm risk assessments as well as veterinary advice with 49 herds that did not.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Key Lab of Agricultural Animal Genetics, Breeding and Reproduction of Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China. Electronic address:
Accurate identification of cows' likelihood of conception during the period from recent calving to the first artificial insemination (AI) will provide assistance in managing the fertility of dairy cows and contribute to the economic prosperity and sustainability of the farm. The purpose of this study was to use FTIR spectroscopy collected from recent calving to the first artificial insemination (AI) to predict the cow's likelihood of conception to first AI, first or second AI. This study specifically focused on the role of FTIR spectral and farm data collected at different time windows in improving the accuracy of model for predicting the cow's likelihood of conception to first AI, first or second AI.
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