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Microbial communities and natural fermentation of corn silages prepared with farm bunker-silo in Southwest China
Abstract
This study analyzed the variation of microbial communities, their achieved fermentation quality, and the association between microbial diversity and environmental factors after ensiling of 96 samples prepared with bunker-silo in Southwest China. Most of natural corn silages achieved good fermentation, e.g., low pH value (<4.2) and high levels of lactic acid (36.26-79.83 mg/g DM). Weissella species were the dominant epiphytic bacteria in raw material, while Lactobacillus and Acetobacter species were prevalent in silages. Natural Lactobacillus and Pediococcus species produced more lactic acid during ensiling, while the production of acetic acid was highly positively correlated with both Acetobacter and Bradyrhizobium species. Rainfall and humidity affected community of epiphytic bacteria on the corn material, and the temperature affected richness of bacterial species during ensiling. The results confirmed that microbial community of silages in hot and humid area is unique and climatic factors ultimately affect the fermentation quality through influencing microbial community.
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“Next-generation sequencing (NGS) has been used to analyze and quantify the silage microbiota [12], providing a relevant basis for further investigation of mixed silage fermentation.”
In the citing paper
“This difference may be because the bacterial communities in the mixed silage came from different environments, their own characteristics, or the number of microorganisms on the raw materials [12].”
In the citing paper
“On the other hand, an unsuccessful fermentation process is characterized by an increasingly complex microbial community after fermentation [58].”
From The Effects of Short-Time Delayed Sealing on Fermentation, Aerobic Stability and Chemical Composition on Maize Silages (2023) · cites this paper as [58]
Citations
Cites
Official Methods of Analysis of
Helrick, K. (1980) · Analytical Chemistry · doi:10.1021/ac50052a726 · Cited by 59,351
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
(2023) · Oxford University Press eBooks · doi:10.1093/9780197610145.002.001 · Cited by 28,136
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
UPARSE: highly accurate OTU sequences from microbial amplicon reads
Edgar, R. C. (2013) · Nature Methods · doi:10.1038/nmeth.2604 · Cited by 16,770
FLASH: fast length adjustment of short reads to improve genome assemblies
Magoč, T., & Salzberg, S. L. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr507 · Cited by 15,366
Greengenes, a Chimera-Checked 16S rRNA Gene Database and Workbench Compatible with ARB
DeSantis, T. Z., Hugenholtz, P., Larsen, N., Rojas, M., Brodie, E. L., Keller, K., Huber, T., Dalevi, D., Hu, P., & Andersen, G. L. (2006) · Applied and Environmental Microbiology · doi:10.1128/aem.03006-05 · Cited by 10,891
Phenol-hypochlorite reaction for determination of ammonia
Weatherburn, M. W. (1967) · Analytical Chemistry · doi:10.1021/ac60252a045 · Cited by 4,099
McDonald, P. (1981) · Medical Entomology and Zoology · Cited by 1,473
Pahlow, G., Muck, R. E., Driehuis, F., Elferink, S. J. W. H. O., & Spoelstra, S. F. (2003) · Agronomy Monographs · doi:10.2134/agronmonogr42.c2 · Cited by 877
Research works printed but not linked: 3
- Lindgren, 2006, Silage inoculation. Selected strains, temperature, wilting and practical application, Indian J. Phys., 19, 77
- Takano, 1975, Formic acid as an additive of high-moisture silage. III. Silage quality and characteristics of seepage, Bull. Natl. Grassl. Res. Inst.
- Zhu, 2010, Technical measures for improving quality of silage maize in Southern area, Anim. Husb. Feed Sci., 31, 31
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Self-citationDrouin, P., Tremblay, J., Renaud, J., & Apper, E. (2021) · MicrobiologyOpen · doi:10.1002/mbo3.1153 · Cited by 60
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Self-citationXia, T., Wang, T., Sun, J., Shi, W., Liu, Y., Huang, F., Zhang, J., & Zhong, J. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.851271 · Cited by 33
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Zhang, Y., Yang, H.-J., Huang, R., Wang, X., Ma, C., & Zhang, F. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.1063914 · Cited by 34
Huang, Y., Liang, L., Dai, S. L., Wu, C.-R., Chen, C., & Hao, J. (2021) · Frontiers in Microbiology · doi:10.3389/fmicb.2021.743695 · Cited by 29
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Zhao, G., Wu, H., Li, Y., Li, L., He, J., Yang, X., & Xie, X. (2023) · Animal Bioscience · doi:10.5713/ab.23.0177 · Cited by 23
Self-citationWang, Y., Li, X., Li, K., Huang, Y., Yang, H., Zhu, P., Chi, Z., Xu, Y., & Li, Q. (2022) · Bioresource Technology · doi:10.1016/j.biortech.2022.126868 · Cited by 23
Self-citationWang, Y., Zhou, H., Gao, Y., Ning-wei, W. A. N. G., Liu, H., Yang, F., & Ni, K. (2022) · Journal of Integrative Agriculture · doi:10.1016/j.jia.2022.10.001 · Cited by 24
Tang, X., Liao, C., Huang, X., Chen, C., Xu, D., & Chen, C. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2023.1247254 · Cited by 23
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Agarussi, M. C. N., Pereira, O. G., Pimentel, F. E., Azevedo, C. F., da Silva, V. P., & Silva, F. F. E. (2022) · Scientific Reports · doi:10.1038/s41598-022-21461-4 · Cited by 22
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Wang, C., Sun, L., Xu, H., Na, N., Yin, G., Liu, S., Jiang, Y., & Xue, Y. (2021) · Processes · doi:10.3390/pr9050784 · Cited by 22
Yin, X., Tian, J., & Zhang, J. (2021) · Journal of the Science of Food and Agriculture · doi:10.1002/jsfa.11147 · Cited by 21
Wang, C., Han, H., Sun, L., Na, N., Xu, H., Chang, S., Jiang, Y., & Xue, Y. (2021) · Processes · doi:10.3390/pr9050900 · Cited by 21
Zhang, M., Peng, C., Sun, W., Dong, R., & Hao, J. (2022) · Microorganisms · doi:10.3390/microorganisms10102023 · Cited by 20
Nazar, M., Wang, S., Zhao, J., Dong, Z., Li, J., Kaka, N. A., & Shao, T. (2021) · World Journal of Microbiology and Biotechnology · doi:10.1007/s11274-020-02991-3 · Cited by 20
Wang, S., Li, J., Zhao, J., Dong, Z., & Shao, T. (2021) · Archives of Microbiology · doi:10.1007/s00203-021-02658-z · Cited by 19
Zheng, Y., Li, M., Xu, J., Sun, H. Y., Cheng, Q., Xie, Y., Wang, C., Chen, C., & Li, P. (2022) · Frontiers in Microbiology · doi:10.3389/fmicb.2022.999881 · Cited by 19
Metadata
- Authors
- Guan, H., Yan, Y., Li, X., Li, X., Shuai, Y., Feng, G., Ran, Q., Cai, Y., Li, Y., & Zhang, X.
- Affiliations
- Sichuan Agricultural University (CN)
- Chongqing Academy of Animal Science (CN)
- Japan International Research Center for Agricultural Sciences (JP)
- Corresponding author
- Li, Ying
- Zhang, Xinquan
- Venue
- Bioresource Technology
- Publisher
- Elsevier BV
- Published
- 2018-10
- Volume
- 265
- Pages
- 282-290
- ISSN
- 0960-8524 (ISSN-L)
- OpenAlex
- W2805368494
- Cited by
- 249
- References
- 51
- Citations by year
- 2026: 12 · 2025: 30 · 2024: 34 · 2023: 36 · 2022: 57 · 2021: 37 · 2020: 30 · 2019: 13
- FWCI
- 33.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Bioresource Technology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Earmarked Fund for Modern Agro-industry Technology Research System (CARS-34)
- Topics
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Ruminant Nutrition and Digestive Physiology
- Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Nutrition and Physiology
- Physical Sciences › Engineering › Biomedical Engineering › Biofuel production and bioconversion
- Keywords
- corn silage, spontaneous fermentation, silage microbial community, bunker silos, silage fermentation, lactic acid, acetic acid, Weissella, Lactobacillus, Acetobacter, Bradyrhizobium, epiphytic bacteria, rainfall, humidity, temperature, climatic factors, hot and humid climate, Southwest China
- MeSH terms
- Farms, China, Zea mays, Fermentation, Silage
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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