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Record W2375893452

Studies on Different Processing Rice Straw Nutrients and Rumen Degradability

2014· article· en· W2375893452 on OpenAlexaff
Liu Kai-y

Bibliographic record

VenueZhongguo xumu zazhi · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsScience North
Fundersnot available
KeywordsSilageStrawRumenAgronomyRice strawNutrientAmmoniaChemistryAnimal scienceNeutral Detergent FiberDry matterFood scienceBiologyFermentationBiochemistry
DOInot available

Abstract

fetched live from OpenAlex

This trial was conducted to study the nutrients and rumen degradation characteristics of different processing rice straw:dry straw,rice straw silage,ammonia treated rice straw,alkali treated rice straw.Nylon-bag technique was used to evaluate effective degradabilities of organic matter(OM),crude protein(CP),neutral detergent fiber(NDF),and non-fiber carbohydrates(NFC),and ratio between effectively degraded nitrogen to OM and CHO of these roughages.The results showed as follows:The ammoniated effectively increase crude protein content of rice straw;The silage,ammoniated and alkalization reduce NDF content,and significantly increase NFC content of rice straw(P0.05).Effective degradabilities of OM sequence was alkali treated rice straw,ammonia treated rice straw,rice straw silage and dry straw;CP degradation rate and effective degradability of ammonia treated rice straw were the highest among three types of processing rice straw,and followed by rice straw silage;Ammonia treated rice straw and alkali treated rice straw can improve NDF effective degradability(P 0.05).Ammonia treated rice straw and rice straw silage can improve EDN/EDOMand EDN/EDCHO。

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.377
Threshold uncertainty score0.405

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 studies0.0010.000
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 head0.029
GPT teacher head0.241
Teacher spread0.212 · 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 designObservational
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

Citations1
Published2014
Admission routes1
Has abstractyes

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