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Record W3012524191

Declining future of poultry industry in Balochistan

2017· article· en· W3012524191 on OpenAlexaboutno aff
Ghulam Muhammad, Muhammad Kamran Taj, Imram Taj

Bibliographic record

VenueIndian Journal of Veterinary Research (The) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsFlockPoultry farmingAgricultureToxicologyVeterinary medicineBusinessBiologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

In Pakistan, commercial chicken farming started in 1960s. This sector is playing a vital role in reducing the gap between supply and demand about protein. According to health standards of World Health Organization (WHO), average daily need for animal origin protein is 27g per individual, while in Pakistan it is just 17g daily [5]. Before commercial poultry, desi chickens provided eggs and meat in Pakistan, and produced on average, 0.778kg of meat at age of four months [9] and laid 30 eggs in a period of one year [10]. Almost in mid 1960s Canadian shaver poultry breeding farms and Pakistani airline (PIA) established a commercial hatchery in Sindh province Karachi. Meanwhile, lever brothers of Pakistan established a commercial poultry feed mill in province Punjab at raheemyar khan [5]. Since 1971 to 1980, the poultry sector gained 177%, 271% and 297% total growth in total sum of birds, total chicken meat and total number of eggs, correspondingly [3]. The most significant reason for this progress was a vibrant local market, that enhanced poultry meat consumption more than 4% per year [8]. In spite of showing excellent potential and growth at the completion of years, per capita availability of chicken meat is still 5.1kg and 50 eggs per year in Pakistan, when matched to developed countries these figures are 40.98kg meat and 399 eggs [7]. Certain diseases disturbing poultry segment progress is hydro pericardium syndrome (HPS) occurred in 1990 and caused an enormous damage to broiler and breeder flocks. Similarly in 1991 gumboro appeared -and badly effected broiler, layer and paternal flocks. While the poultry industry was trying to fine -tune itself from the previous HPS and gumboro outbreaks, in 1995 another epidemic of avian influenza occurred in parent flocks at abbottabad and murree farms and resulted up to 80% mortality [1,2]. Due to improvement in chicks prices in 1998 breeding and hatchery companies financially benefited, but in 1999 the poultry sector again suffered because of the appearance of influenza-like ailments (PPA, 2013a). Despite the industry faced reasonable losses during this period, it kept on rising and showed a tremendous growth rate in form of number of birds that increased, overall broiler production and entire number of eggs laid with the growth standards as 98, 126 and 67% [3], respectively. Up to 2004 the poultry business enjoyed excellent growth through good profit margins though, the occurrence of avian influenza [6] in neighboring countries and its rumored spread in Pakistan delayed this growth. Anyway, in the past few years, poultry segment has shown admirable growth and has provided employment to about 1.49 million people [4]. Reports about meat shows that in 1971, marketing contribution of beef, mutton and poultry meat was 61%, 37%, and 2–2.5% respectively [3]. However, reported figures of 2010 about meat are reasonably different where marketing part of beef, mutton and poultry were 55%, 20% and 25%, respectively [3] After fulfilling local consumption requirements, Punjab province sells its surplus poultry food stuff (meat and eggs) to Balochistan and other provinces (Al-Masad, 2010). Because of economical poultry products Punjab poultry sector is able to compete poultry markets of other provinces. Therefore, to minimize dependency on others provinces and encourage economical poultry production, need of a study identifying factors leading to uneconomical poultry production in Balochistan was realized, to inform policy makers about current poultry situation and enable them for economical and profitable future planning regarding poultry production in Balochistan.

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)0.003
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 score0.357
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 science0.0010.000
Research integrity0.0000.002
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 head0.154
GPT teacher head0.399
Teacher spread0.244 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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