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Record W4392004390 · doi:10.5772/intechopen.114241

Using Conventional Ruminant Techniques and Molecular Spectroscopy to Study the Impact of Additive Fibrolytic Enzymes and Maturity Stage on Nutritional and Molecular Structural Changes of Legume and Legume-Cereal Intercropped Silage

2024· book-chapter· en· W4392004390 on OpenAlexafffund
V. Guevara, Carlene Nagy, Jen-Chieh Yang, Jiangfeng He, María E. Rodríguez‐Espinosa, Wei‐xian Zhang, Peiqiang Yu

Bibliographic record

VenueVeterinary medicine and science · 2024
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicRuminant Nutrition and Digestive Physiology
Canadian institutionsUniversity of Saskatchewan
FundersCenters for Disease Control and PreventionAustralian GovernmentSaskatchewan Canola Development CommissionNatural Sciences and Engineering Research Council of CanadaSaskatchewan Pulse Growers
KeywordsSilageLegumeForageAgronomyBiologyRuminantFodderIntercroppingCrop

Abstract

fetched live from OpenAlex

This chapter aims to I) provide research background and motivation on the impact of additive fibrolytic enzyme and maturity stage at harvesting on molecular structural changes and nutritional value of the cool-season legume silage and legume-cereal intercropped silage; II) provide recent research progress and development in whole plant faba bean (legume) silage and faba-oat (legume-cereal) intercropped silage. The reviewed projects include: I) effect of adding different levels of additive fibrolytic enzymes on utilisation of cool-season whole plant faba bean silage in ruminants to find an optimal dose level for this faba silage; II) effect of adding different levels of fibrolytic enzymes on utilisation of cool-season intercropped whole plant faba-oat (legume-cereal) silage in ruminants; III) effect of maturity stage at harvesting on nutritive quality of whole plant faba silage; IV) effect of frost damage on nutritive quality of whole plant faba forage in ruminant; V) feeding trial and dairy production performance, milk yield (ECM, FCM, fat yield etc.) with whole plant faba legume silage in early lactating cows to replace traditional barley and corn silages; VI) availability and utilisation of whole plant faba silage and intercropped whole plant faba-oat intercropped silage in ruminants; VII) using molecular spectroscopy to study nutrition and structure interaction of faba silage at cellular and molecular levels. Based on the scientific findings presented in this chapter, the following most important conclusions can be drawn: cool-season faba (legume) variety with different tannin levels impact not only nutrient profiles but also protein and carbohydrate-related molecular structure makeup. Additionally, the nutrient supply, bioenergy, degradation, digestion, and metabolic characteristics of cool-season faba silage and intercropped faba-oat silage were highly related independently and synergistically to molecular structure conformation. Furthermore, the nutrient utilisation and availability of cool-season faba silage and intercropped silage in ruminant livestock systems could be accurately predicted by the protein and carbohydrate molecular structures revealed with cutting stage vibrational molecular spectroscopy when they work together. Additive fibrolytic enzyme and maturity stage at harvesting significantly impacted both nutritional and molecular structural changes of legume and legume-cereal intercropped silage. Dairy production performance and milk yield (ECM, FCM, fat yield, etc.) studies showed that whole plant faba legume silage in early lactating cows could be used as an alternative silage to traditional barley and corn silages. The information described in this chapter gives better insight into cool-season legume silage and legume-cereal intercropping silage research progress in terms of inherent molecular structures, nutritive quality, animal production response, and molecular structure and nutrition delivery interactive relationship as well as impact by maturity stage and dosage levels of additive fibrolytic enzymes in the cool-season legume silage and intercropped legume-cereal silages.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.338
Teacher spread0.284 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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