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Record W1986167353 · doi:10.1071/rdv19n1ab384

384 EFFECTS OF CONDITION SCORE ON OVARIAN RESPONSE AND TRANSFERABLE EMBRYOS IN SUPERSTIMULATED COWS IN ARGENTINA

2006· article· en· W1986167353 on OpenAlexaboutno aff
A. García-Guerra, David López Rodríguez, J. Z. Villareal, Anika Albrecht, G.M. Brogliatti

Bibliographic record

VenueReproduction Fertility and Development · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsnot available
Fundersnot available
KeywordsEmbryo transferEstradiol benzoateBreedAnimal scienceEmbryoHuman fertilizationFollicular phaseBiologyAndrologyGynecologyMedicineEndocrinologyAnatomyEstrogen

Abstract

fetched live from OpenAlex

The success of an embryo transfer program is influenced by ovarian response, number of ovulations, fertilization, and embryo viability (Armstrong 1993). It has been observed that over-conditioned, overweight donor females tend to produce fewer viable embryos per collection (Stroud and Hasler 2006 Theriogenology 65, 65–76). The condition score is one of the many intrinsic factors that affects cow reproduction. A retrospective analysis was done to compare the ovarian response, number of ovulations, fertilization, and total transferable embryos recovered of cows with different condition scores in Argentina. This research was carried out using different breed donors (n = 640; 82% Angus; 18% other) during the last 4 years in Buenos Aires province, Argentina. Donors at random stages of follicular wave with CL received an intravaginal progesterone device (DIB; Syntex, Buenos Aires, Argentina), 2 mg of estradiol benzoate, and 50 mg of progesterone (Syntex, Buenos Aires, Argentina) IM on the same day. On Day 4 after DIB insertion, superestimulatory treatment was initiated on a decreasing dose regimen of FSH (Pluset®; Callier, São Paulo, Brazil, or Folltropin®; Bioniche Animal Health, Inc., Belleville, Ontario, Canada) as IM injections every 12 h during 4 days. On Day 6, DIBs were removed, and cows received a double dose of 2 mL of cloprostenol within 12 h. At heat detection, all donors received a dose of 2 mL of GnRH (Dalmarelin; Von Franken, Buenos Aires, Argentina) by IM injection and were inseminated 12 and 24 h thereafter. Seven days later, embryo collection was performed and ovarian response was evaluated as number of CL + anovulatory follicles by transrectal ultrasound using a 7.5-MHz transducer (Pie Medical, Maastricht, The Netherlands). The condition score was determined at this time using a 1 to 5 scale. Embryos recovered were evaluated and classified according to the IETS manual. Kruskal–Wallis test was used to compare variables among score groups, and results are shown in Table 1. Ovarian response as the number of CL and anovulatory follicles was significantly different (P = 0.0001) among groups. There is a negative correlation (-0.2194) between condition score and ovarian response. At higher condition scores, ovarian response decreased. There is a significant difference (P = 0.0001) for the number of ovulations and total number of fertilized ova among groups. Finally, the total number of transferable embryos was no different for either score; however, there is a trend toward decrease when the condition score is higher. In conclusion, these results indicate that using donors with condition scores of 2 to 3 improves the results of a superstimulatory treatment. Controlling donors' condition score by nutrition management gives us the possibility to produce more embryos per donor treatment. Table 1. Condition score, ovarian response, fertilization, and transferable embryos in donor cows in Argentina

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.222
Teacher spread0.205 · 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

Citations5
Published2006
Admission routes1
Has abstractyes

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