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Record W4385897427 · doi:10.1111/jpn.13870

Effect of endo‐1,4‐beta‐xylanase supplementation to low‐energy diets on performance, blood constituents, nutrient digestibility, and gene expressions related growth of broiler chickens

2023· article· en· W4385897427 on OpenAlexaff
Ahmed A. Saleh, Sahar M. Mousa, Khairy A. Amber, Nemat A. Badwi, Mostafa Shoukry, Medhat Khairy, Basheer Nusairat, Nasser Odetallah, Yun‐mei Amy Lin, Shaimaa Selim

Bibliographic record

VenueJournal of Animal Physiology and Animal Nutrition · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsNutrasource
Fundersnot available
KeywordsXylanaseBroilerFeed conversion ratioAnimal scienceBiologyNutrientCompletely randomized designStarchBody weightFood scienceWeight gainBiochemistryEnzymeEndocrinologyEcology

Abstract

fetched live from OpenAlex

The presence of soluble and insoluble non-starch polysaccharides (NSP) was reported to reduce nutrient utilisation, and adversely impact the broilers' growth performance; accordingly, NSP-degrading enzymes are essential supplements to cereal-based diets. Therefore, the current trial was conducted to characterise the impacts of supplemental xylanase (Xyl) to diets with low-ME levels on performance, carcass traits, blood parameters, nutrient digestibility and some genes expressions in broiler chickens. A total of 600 1-day-old Ross 308 male broiler chicks were randomly assigned to 6 treatments with 10 replications of 10 birds each per group in a completely randomised design. The 6 treatments were as follow: (1) basal diets with balanced ME content served as control (positive control, PC), (2) low-energy diet (negative control 1 [NC1]; ME content reduced by 70 kcal/kg compared with PC), (3) low-energy diet (negative control 2 [NC2]; ME content reduced by 140 kcal/kg compared with PC), (4) NC1 + 100 g/ton xylanase (NC1 + 100Xyl), (5) NC2 + 100 g/ton xylanase (NC2 + 100Xyl), and (6) NC1 + 50 g/ton xylanase (NC1 + 50Xyl). At the end of the experiment (35 days of age), the reduction of energy in the NC diets yielded lower live body weight (BW) and total body weight gain (BWG) (p ˂ 0.001); however, it significantly increased feed intake (p ˂ 0.05), leading to worst feed conversion ratio (FCR) and European production efficiency factor (EPEF) (p ˂ 0.01) than PC. There was non-significant variation in final BW, BWG, FCR, or EPEF between the PC group and the NC groups supplemented with Xyl. Carcass yield, gizzard, liver and, muscle relative weights were not influenced by dietary treatments; while broilers fed diet with low-energy diets with or without Xyl addition had lower abdominal fat (p ˂ 0.01) than PC. Furthermore, broilers fed on low-ME diets supplemented with Xyl showed a reduction in plasma total cholesterol (p ˂ 0.05) and low density lipoprotein (p ˂ 0.01) levels. Greater antibody titre against Newcastle disease (p ˂ 0.05) was recorded in the NC1 + 100Xyl and NC2 + 100Xyl groups. The addition of Xyl to low-energy diets significantly improved (p ˂ 0.05) fibre digestibility compared to the PC group. Moreover, enzyme supplementation increased muscle total lipids content and decreased muscle thiobarbituric acid retroactive substance content. In addition, enzyme supplementation increased gene expression related to growth and gene expression related to fatty acid synthesis. It was concluded that a low-ME diet might diminish broiler performance, whereas Xyl supplementation to low-ME diets beneficially affected growth performance, abdominal fat percentage, nutrient digestibility and immunity for broilers, and gene expressions related to growth and fatty acid synthesis in broiler chickens fed low-energy diets.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.240
Teacher spread0.230 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2023
Admission routes1
Has abstractyes

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