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Phenotypic Characteristics of Shahi Strain of Nagpuri Buffaloes in Chandrapur District of Maharashtra, India

2020· article· en· W3013139967 on OpenAlexvenueno aff
H.S. Hamand, R. M. Zinjarde, S. N. Rokde, N. S. Chore

Bibliographic record

VenueJournal of Buffalo Science · 2020
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock Management and Performance Improvement
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyStrain (injury)BiologyAnatomy

Abstract

fetched live from OpenAlex

Phenotypic Characterization of Shahi Strain of Nagpuri Buffaloes was done in the Chandrapur District of Maharashtra, India. Two hundred and forty Shahi strain of Nagpuri female buffaloes of various age groups were observed in their home tract (n farms=24). It was found that black coat colour, black coloured muzzle, white patches on the legs, whitish eyes, white coloured tail switch, horizontal ear orientation, sword-shaped horns with pointed tip first turning backwards and then upwards, bowl-shaped udder are typical characteristics of this breed. The average live body weight, body length, chest girth, height at withers, head length, breadth of head of these buffaloes is (means ± standard deviation) 433 ± 8.4 kg, 137.08 ± 2.78 cm 180.81 ± 3.84 cm, 129.43 ± 2.26 cm, 54.18 ± 1.10 cm, 28.18 ± 0.34 cm in 3 years and above age group, respectively. The average daily milk yield and milk yield per lactation of Shahi strain of Nagpuri buffaloes were observed to be 4.06 ± 0.08 kg and 1,220.84 ± 41.57 kg, respectively.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.019
GPT teacher head0.216
Teacher spread0.197 · 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 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".

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Citations1
Published2020
Admission routes1
Has abstractyes

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