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At present, there are many researches on the nutritional quality and fermentation quality of forage silage by adding distillers' grain and fruit residue, but few researches on the succession and function prediction of microbiotic community. In this study, the potential of Moutai distillers' grain (MDG), Rosa roxburghii pomace (RP) and Lactobacillus acidophilus (LAB) to improve silage quality during anaerobic storage of alfalfa and sorghum was investigated. Harvested alfalfa and sorghum were ensiled without (CK) or with MDG, RP, LAB, LAB + MDG or LAB + RP for 45 days at 21-25 °C. Compared with the uninoculated control, alfalfa silage inoculated with LAB + MDG presented better nutrient retention, where the lactic acid (LA) content was increased by 84.62% and the ammonia nitrogen (AN) content was reduced by 38.52%. Similarly, in sorghum silage, both inoculation with LAB + MDG and inoculation with LAB + RP effectively increased nutrient retention, increased the LA content and reduced the AN content. The proportion of Lactobacillus increased in sorghum and alfalfa silage after 45 days of fermentation. Inoculation of alfalfa and sorghum with RP or LAB + MDG significantly increased the relative abundance of lactic acid bacteria in silage, especially Lactobacillus plantarum, which was the main dominant strain. The addition of MDG to the feeds not only effectively retained the crude protein (CP) content of the feeds for better retention of their nutritional value but also significantly reduced the contents of neutral detergent fiber (NDF) and acid detergent fiber (ADF), which improved the digestibility and utilization of the feeds. In addition, the addition of MDG further promoted the proliferation of Lactobacillus and increased their abundance in the silage, thus contributing to the improvement of fermentation quality and preservation of silage. In summary, MDG, LAB + MDG, and RP + LAB resulted in higher-quality silage, but the addition of MDG was more cost effective and therefore is recommended for application in production.
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http://dx.doi.org/10.1186/s12870-025-06722-4 | DOI Listing |
Sci Rep
July 2025
Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, 710075, China.
A six-year field experiment was conducted in the Loess Plateau to explore the impacts of five planting patterns, namely fallow(C0), continuous maize cropping(C1), continuous alfalfa cropping(C2), maize-sorghum-sorghum-millet (cereal) rotation(C3), and kidney bean-sorghum-sorghum-millet (legume-cereal) rotation(C4), on different forms of soil carbon. The results showed that, compared with the C0 pattern, long-term continuous cropping or rotation of different crops significantly increased the mass fractions of various forms of carbon in the 0-40 cm soil layer. Specifically, the total carbon increased by 57.
View Article and Find Full Text PDFBMC Plant Biol
June 2025
College of Animal Science, Guizhou University, Guiyang, 550025, China.
BMC Plant Biol
May 2025
College of Animal Science, Guizhou University, Guiyang, 550025, China.
At present, there are many researches on the nutritional quality and fermentation quality of forage silage by adding distillers' grain and fruit residue, but few researches on the succession and function prediction of microbiotic community. In this study, the potential of Moutai distillers' grain (MDG), Rosa roxburghii pomace (RP) and Lactobacillus acidophilus (LAB) to improve silage quality during anaerobic storage of alfalfa and sorghum was investigated. Harvested alfalfa and sorghum were ensiled without (CK) or with MDG, RP, LAB, LAB + MDG or LAB + RP for 45 days at 21-25 °C.
View Article and Find Full Text PDFBiometrics
October 2024
Department of Mathematics, National and Kapodistrian University of Athens, University Campus, Zografou, Athens 15784, Greece.
This study introduces an innovative cumulative link modeling (CLM) approach to monitor crop progress over large areas using remote sensing data. Two distinct models are developed, a fixed-effects CLM and a mixed-effects one that incorporates annual random effects to capture the inherent inter-seasonal variability. Inference is based on partial-likelihood with two law variations, the standard CLM based on the multinomial distribution and a novel one based on the product binomial distribution.
View Article and Find Full Text PDFInt J Mol Sci
October 2024
Institute of Special Economic Animals and Plants, Sichuan Academy of Agricultural Sciences, Nanchong 637000, China.
Chromosome numbers and morphology are important characteristics of a species and its evolution. Root tips are the most commonly used tissue as a source of actively dividing cells for chromosome visualization in plants. Previously, rapidly growing root tips were collected from germinating kernels or from seedlings growing in pots or fields.
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