Assessing the fermentation quality and microbial community of the mixed silage of forage soybean with crop corn or sorghum.

Bioresour Technol

State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China; School of Life Science, University of Chinese Academy of Sciences, Beijing 100039, China. Electronic address:

Published: October 2018

The silage quality of forage soybean (FS) rich in protein with crop corn (CN) or sorghum (SG) rich in water soluble carbohydrate was investigated, and microbial community after ensiling was analyzed. Results showed that pH in mixed silages dropped to 3.5-3.8 lower than 100%FS silage (4.5). Microbial analysis indicated that mixed ensiling could influence the microbial community. Although Lactobacillus and Weissella were the dominant genera in all silage samples, Lactobacillus abundance in mixed silages (33-76%) was higher compared with 100%FS silage (27%). In conclusion, FS ensiled with CN or SG could be an alternative approach to improve FS silage quality.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.biortech.2018.05.097DOI Listing

Publication Analysis

Top Keywords

microbial community
12
forage soybean
8
crop corn
8
corn sorghum
8
silage quality
8
mixed silages
8
100%fs silage
8
silage
6
assessing fermentation
4
fermentation quality
4

Similar Publications

Background: The inclusion of sustainable protein sources in poultry feed has become essential for improving animal welfare in livestock production. Black soldier fly larvae are a promising solution due to their high protein content and sustainable production. However, most research has focused on fast-growing poultry breeds, while the effects on native breeds, such as the Bianca di Saluzzo, are less explored.

View Article and Find Full Text PDF

Background: Amplicon sequencing of kingdom-specific tags such as 16S rRNA gene for bacteria and internal transcribed spacer (ITS) region for fungi are widely used for investigating microbial communities. So far most human studies have focused on bacteria while studies on host-associated fungi in health and disease have only recently started to accumulate. To enable cost-effective parallel analysis of bacterial and fungal communities in human and environmental samples, we developed a method where 16S rRNA gene and ITS1 amplicons were pooled together for a single Illumina MiSeq or HiSeq run and analysed after primer-based segregation.

View Article and Find Full Text PDF

Background: Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-specific difference.

Methods: Here, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC, and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC, and 88 healthy controls) were analyzed.

View Article and Find Full Text PDF

Background: Sepsis represents the most prevalent infectious complication and the primary cause of mortality in myeloproliferative neoplasms (MPN). The risk of sepsis and the difficulty of treatment are significantly increased in MPN patients due to the need for immunomodulators and antibiotics.

Case Presentation: On June 9, 2023, a 69-year-old male was admitted to the hospital.

View Article and Find Full Text PDF

Indole derivatives and their associated microbial genera are associated with the 1-year changes in cardiometabolic risk markers in Chinese adults.

Nutr J

December 2024

Department of Nutrition, Center for Big Data and Population Health of IHM, School of Public Health, Anhui Medical University, Hefei, Anhui, China.

Background: Although emerging evidence suggests that indole derivatives, microbial metabolites of tryptophan, may improve cardiometabolic health, the effective metabolites remain unclear. Also, the gut microbiota that involved in producing indole derivatives are less studied. We identified microbial taxa that can predict serum concentrations of the key indole metabolite indole-3-propionic acid (IPA) at population level and investigated the associations of indole derivatives and IPA-predicting microbial genera with cardiometabolic risk markers.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!