ArticleJournal of animal science2023
Forages and pastures symposium: an update on in vitro and in situ experimental techniques for approximation of ruminal fiber degradation.
Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Article
- Grape Pomace as a Replacement for Soybean Hulls in Corn Silage-Based Diets for Dairy Cows.Veterinary sciences · 2026Article
- The indigestible core of forage fiber: estimation from long-term in vitro kinetics and prediction from lignin content.Journal of animal science · 2026Article
- Effects ofTranslational animal science · 2026Article
- Enhancing Agricultural Sustainability by Improving the Efficiency of Lignocellulosic Biomass Utilization in the Ruminant Diet via Solid-State Fermentation with White-Rot Fungi: A Review.Microorganisms · 2025Review
- Supplementing yeast culture to beef heifers consuming a forage-based diet.Translational animal science · 2025Article
- Ruminal inocula with distinct fermentation profiles differentially affect theFrontiers in veterinary science · 2024Article
- Conceptualization and implementation of the Fiber Utilization and Cell Wall Constituents Symposium.Journal of animal science · 2023Article
- Forages and pastures symposium: forage biodegradation: advances in ruminal microbial ecology.Journal of animal science · 2023Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Static quantification measures of chemical components are commonly used to make certain assumptions about forage or feed nutritive value and quality. In order for modern nutrient requirement models to estimate intake and digestibility more accurately, kinetic measures of ruminal fiber degradation are necessary. Compared to in vivo experiments, in vitro (IV) and in situ (IS) experimental techniques are relatively simple and inexpensive methods to determine the extent and rate of ruminal fiber degradation. This paper summarizes limitations of these techniques and statistical analyses of the resulting data, highlights key updates to these techniques in the last 30 yr, and presents opportunities for further improvements to these techniques regarding ruminal fiber degradation. The principle biological component of these techniques, ruminal fluid, is still highly variable because it is influenced by ruminally fistulated animal diet type and timing of feeding, and in the case of the IV technique by collection and transport procedures. Commercialization has contributed to the standardization, mechanization, and automation of the IV true digestibility technique, for example, the well-known DaisyII Incubator. There has been limited commercialization of supplies for the IS technique and several review papers focused on standardization in the last 30 yr; however, the IS experimental technique is not standardized and there remains variation within and among laboratories. Regardless of improved precision resulting from enhancements of these techniques, the accuracy and precision of determining the indigestible fraction are fundamental to modeling digestion kinetics and the use of these estimates in more complex dynamic nutritional modeling. Opportunities for focused research and development are additional commercialization and standardization, methods to improve the precision and accuracy of indigestible fiber fraction, data science applications, and statistical analyses of results, especially for IS data. In situ data is typically fitted to one of a few first-order kinetic models, and parameters are estimated without determining if the selected model has the best fit. Animal experimentation will be fundamental to the future of ruminant nutrition and IV and IS techniques will remain vital to bring together nutritive value with forage quality. It is feasible and important to focus efforts on improving the precision and accuracy of IV and IS results.
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