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Record W2554785519 · doi:10.2527/jam2016-1065

1065 Effects of modification of proestrus length and duration of progesterone exposure on automated measurements of estrous expression in lactating Holstein cows

2016· article· en· W2554785519 on OpenAlexaff
B.F. Silper, T.A. Burnett, Paulo Francisco Maciel Póvoas Souto, Matheus Baylão, A. P. O. Santos, R.L.A. Cerri

Bibliographic record

VenueJournal of Animal Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of British Columbia
FundersZoetis
KeywordsEstrous cycleOvulationEstrus synchronizationInternal medicineEndocrinologyLactationAndrologyMedicineBiologyPregnancyHormone

Abstract

fetched live from OpenAlex

Objectives were to investigate if longer proestrus, via longer exposure to pre-ovulatory estradiol concentrations, would induce behavioral estrus of greater intensity, and to investigate if longer exposure to progesterone would offset possible effects of shorter proestrus on estrous behavior. Three treatments consisting of different intervals between GnRH-PGF (5 or 7 d) and PGF-ECP (1 or 3 d) on a Heatsynch program were applied to lactating Holstein cows (n = 48). All cows were fitted with three activity monitors (Heatime, SmartDairy, and AfiActII) and enrolled into pre-synchronization at 40 ± 3 DIM, followed by random allocation to treatments at 57 ± 3 DIM. Treatments were 5d3d (GnRH-5d-PGF-3d-ECP), 5d1d (GnRH-5d-PGF-1d-ECP), and 7d1d (GnRH-7d-PGF-1d-ECP). The AI was performed at a fixed time 48 h after ECP, except for those detected in high activity before timed-AI. Ovarian ultrasonography and blood samples were performed at injection days, day of AI, and 2, 5, and 7 d after timed-AI. Rates of estrous detection, ovulation (until 84 h after ECP) and presence of CL 7 d after timed-AI were not different among treatments (P > 0.05). Although the goal of 5d3d was to increase proestrus length, 6 of the 10 cows that showed high activity in this treatment did so before or at the day of ECP. Consequently, proestrus length was not different among treatments (3.0 ± 0.2, 3.2 ± 0.2, and 2.7 ± 0.2 d, for 5d1d, 5d3d, and 7d1d, respectively; P > 0.05). Pre-ovulatory follicle diameter was not significantly different among treatments and was 20.9 ± 0.7 mm (multiparous) and 19.2 ± 0.9 mm (primiparous). Odds of estrous expression were not influenced by parity, BCS, or progesterone concentration and follicle diameter at the PGF injection. Parity and BCS were the factors most frequently associated with measurements of estrus. Cows in 5d1d had estrus of greater duration (Heatime) than 7d1d (13.9 ± 0.9 vs. 11.1 ± 0.9 h; P = 0.04), whereas intensity of estrus (AfiActII) was greater for 5d3d cows (377.3 ± 43.0; P = 0.04) and tended to be greater for 7d1d (350.8 ± 41.3; P = 0.09), both in comparison with 5d1d (243.3 ± 45.8). Although estrous detection rate and proestrus length were not different among treatments, the use of a Heatsynch program with different GnRH-PGF or PGF-ECP intervals was capable of altering duration and intensity of estrus, likely due to changes in the endocrine profile during the estrous cycle.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.276
Teacher spread0.238 · 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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