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Record W4392810258 · doi:10.53555/sfs.v11i3.2260

Effect Of Acacia Nilotica On The Growth Performance Of Broiler Chickens

2024· article· en· W4392810258 on OpenAlexvenueno aff
Nasir Rajput, Imdad Hussain Leghari, Muhammad Naeem Rajput, Sher Ali

Bibliographic record

VenueJournal of Survey in Fisheries Sciences · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Nutrition and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsBroilerAcaciaAnimal scienceBiologyBotany

Abstract

fetched live from OpenAlex

The present study aimed to investigate the effect of Acacia nilotica on the growth performance of broiler chickens. The experiment was conducted at the Poultry Husbandry Department, Sindh Agriculture University Tandojam. Different treatment groups were established with varying levels of Acacia nilotica pod supplementation (0%, 3%, 6%, 9%, and 12%) along with a fixed enzyme complex dosage (100 g/kg). A total of 300 broiler chickens were purchased and grouped accordingly. The housing and management practices followed standard protocols, including appropriate temperature maintenance, adequate lighting, and routine vaccinations. Various parameters, such as feed intake, water intake, live body weight, feed conversion ratio (FCR), carcass weight, dressing percentage, and relative organ weights, were recorded and analyzed statistically. The cumulative weight gain of broiler chickens was significantly affected by Acacia nilotica supplementation. The control group (T0) showed the highest cumulative weight gain (2058.33±20.85 g/b), while the group supplemented with 12% Acacia nilotica (T12) exhibited the lowest cumulative weight gain (1756.67±14.33 g/b). Feed intake was also significantly influenced by Acacia nilotica supplementation. The control group (T0) had the highest feed intake (4003.75±20.14 g/b), whereas the group supplemented with 12% Acacia nilotica (T12) had the lowest feed intake (3523.33±27.78 g/b). The feed conversion ratio (FCR), which reflects feed efficiency, was significantly affected by Acacia nilotica supplementation. The group supplemented with 6% Acacia nilotica (T6) showed the lowest FCR (1.90±0.02), indicating better conversion of feed into body weight. In contrast, the group supplemented with 12% Acacia nilotica (T12) had the highest FCR (2.00±0.03), suggesting a less efficient conversion of feed to body weight. Carcass weight, representing the weight of the birds after slaughter, was significantly influenced by Acacia nilotica supplementation. The control group (T0) had the highest carcass weight (1386.75±6.23 g/b), while the group supplemented with 12% Acacia nilotica (T12) had the lowest carcass weight (1136.61±16.49 g/b). The dressing percentage, which indicates the proportion of carcass weight to live weight, was significantly affected by Acacia nilotica supplementation. The group supplemented with 6% Acacia nilotica (T6) showed the highest dressing percentage (68.55±0.29%), while the group supplemented with 12% Acacia nilotica (T12) had the lowest dressing percentage (64.69±0.43%). The significantly (p<0.05) lower fat pad (34.96±1.95%) was noted in T12, where the birds were supplemented with 12% Acacia nilotica along with a 100 mg/kg enzyme complex, compared to T9 (37.36±2.01%), T6 (40.08±2.43%), and T3 (41.39±2.27%), respectively. These groups received supplementation with 9%, 6% and 3% Acacia nilotica, respectively, along with the same 100 mg/kg enzyme complex. While, the fat pad (44.11±1.91%) were recorded higher in T0 group (control). Acacia nilotica supplementation had varying effects on the growth performance of broiler chickens. While lower levels of supplementation (3% and 6%) resulted in improved weight gain, feed intake, and feed conversion ratio, higher levels (9% and 12%) showed negative effects on these parameters. These findings highlight the importance of optimizing the dosage of Acacia nilotica supplementation in broiler chicken diets to achieve optimal growth performance.

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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.103
GPT teacher head0.256
Teacher spread0.153 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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