Effect of Different Diet Formulas on Production Performance and Rumen Bacterial Diversity of Fattening Beef Cattle.

IF 2.4 4区生物学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY

Molecular Biotechnology Pub Date : 2025-03-08 DOI:10.1007/s12033-025-01402-y

Yingwu Chen, Kai Chen, Xinqiang Zhu, Xiaoli Wang, Feifan Leng, Yonggang Wang

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引用次数: 0

Abstract

The effect of beef cattle (Angus vs. Simmental) feeds with various diet formulas on the production performance, blood biochemical indexes, beef quality, and rumen bacterial diversity were investigated. Corn silage, sorghum silage, and the mixture of corn silage and sorghum silage were used as experimental materials to compare the feeding effect of different proportions of feed. The results showed that fattening cattle fed diets containing 75% or 100% sweet sorghum (DMD and DME) had a daily gain of 0.85-0.92 kg. The fattening rate of cattle fed with 50% sweet sorghum (DMC) was 54.78%. There were no adverse effects on beef quality and blood physiological and biochemical indexes in each group. In terms of rumen bacterial diversity, the flora of rumen fluid mainly contains Firmicutes and Bacteroidetes. Prevotella and Succinic acid were the dominant groups in the known genera of rumen fluid bacteria. Compared with the cattle fed with corn silage alone, the growth performance, slaughter performance, blood physicochemical indexes, and rumen diversity of cattle fed with mixed silage of sweet sorghum and corn showed similar or excellent traits.

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来源期刊

Molecular Biotechnology 医学-生化与分子生物学

CiteScore

4.10

自引率

3.80%

发文量

165

审稿时长

6 months

期刊介绍： Molecular Biotechnology publishes original research papers on the application of molecular biology to both basic and applied research in the field of biotechnology. Particular areas of interest include the following: stability and expression of cloned gene products, cell transformation, gene cloning systems and the production of recombinant proteins, protein purification and analysis, transgenic species, developmental biology, mutation analysis, the applications of DNA fingerprinting, RNA interference, and PCR technology, microarray technology, proteomics, mass spectrometry, bioinformatics, plant molecular biology, microbial genetics, gene probes and the diagnosis of disease, pharmaceutical and health care products, therapeutic agents, vaccines, gene targeting, gene therapy, stem cell technology and tissue engineering, antisense technology, protein engineering and enzyme technology, monoclonal antibodies, glycobiology and glycomics, and agricultural biotechnology.