The study reported in this Research Communication was carried out to examine how parity and milking time affected donkey milk yield under a typical Chinese production system. Eighteen Jiangyue breed donkeys with good health condition, aged between 6 and 9 years, and with parities 3 and 4, were selected. Milk production was measured commencing from the fourth week post-foaling, with a total data collection of 170 d in milk (lactation length). Mean milk yield of the donkeys used in this study was 3·0 kg/donkey/d. Results showed milk yield decreased with days in milk from 3·3 kg/donkey/d at the start of the study, to 2·2 kg/donkey/d by the end of the 170 d. Parity 3 donkeys produced 22% more milk than parity 4 donkeys (3·3 kg/donkey/d vs 2·7 kg/donkey/d). The information provided by this study should aid producers in estimating the expected milk yields from individual donkey, and better predict milk yield over the course of a production cycle.
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http://dx.doi.org/10.1017/S0022029916000777 | DOI Listing |
Vet Anim Sci
March 2025
Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria (INIA), Sede Central: Av. La Molina 1981, La Molina, Lima 15024, Perú.
Cattle breeding in the highlands of Peru is an important economic activity at the level of the entire rural extension, because it serves as an economic reserve for rural families and forms an integral part of the agricultural producer's culture. This review aimed to provide a literature- and research-based approach to the fundamental aspects of a national genetic improvement plan, emphasising the efficacy of using a bovine germplasm of high genetic quality as an initiative to implement genetic improvement programmes. The concepts to be implemented in national livestock farming include high yield, feed conversion efficiency, and minimum greenhouse gas emissions.
View Article and Find Full Text PDFN Biotechnol
January 2025
Gujarat Biotechnology Research Centre, Gandhinagar, 382011, Gujarat, India. Electronic address:
The purpose of the current study was to explore the effects of Moringa oleifera feed on the taxonomy and function of the rumen microbial community, and further to evaluate its impact on milk yield and body weight in lactating goats. Nineteen goats were divided into moringa leaf diet (ML; n=10) and masoor straw (MS; n=9) groups. For each group fortnight milk yield and body weight was recorded.
View Article and Find Full Text PDFBioresour Technol
January 2025
State Key Laboratory of Biocatalysis and Enzyme Engineering, Hubei Engineering Research Center for Bio-enzyme Catalysis, Environmental Microbial Technology Center of Hubei Province, School of Life Sciences, Hubei University, Wuhan 430062, PR China. Electronic address:
As an important industrial enzyme, chymosin has been widely used in cheese manufacturing. Fermentation with Kluyveromyces lactis has allowed recombinant chymosin production to fit the growing global demand for cheese consumption; yet improvements can be made to allow for stable and larger-scale production. In this work, various chymosin producing (CP) strains were constructed via targeted chromosomal integration of various copies of a prochymosin expression cassette (PEC) using a CRISPR-Cas9 platform optimized for K.
View Article and Find Full Text PDFPlants (Basel)
January 2025
College of Resources and Environment, Huazhong Agricultural University, Wuhan 430070, China.
The incorporation of rice straw (RS) and Chinese milk vetch (CMV) with reduced chemical fertilizers (CFs) is a viable solution to reduce the dependency on CF. However, limited research has been conducted to investigate the impact of CMV and RS with reduced CF on rice production. A field trial was conducted from 2018 to 2021 with six treatments: CK (no fertilizer), F100 (100% NPK fertilizer (CF)), MSF100 (100% CF+CMV and RS incorporation), MSF80 (80% CF+CMV+RS), MSF60 (60% CF+CMV+RS), and MSF40 (40% CF+CMV+RS).
View Article and Find Full Text PDFInt J Mol Sci
January 2025
Institute of Microbiology and Immunology, Faculty of Medicine, University of Ljubljana, 1000 Ljubljana, Slovenia.
Among the various causes of rhomboencephalitis, infection is the most common. However, conventional microbiological methods often yield negative results, making diagnosis challenging and leading to extensive, often inconclusive, diagnostics. Advanced molecular techniques like metagenomic next-generation sequencing (mNGS) offer a powerful and efficient approach to pathogen identification.
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