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Record W1971980871 · doi:10.1071/rdv18n2ab9

9 USE OF SEXED SEMEN FOR ARTIFICIAL INSEMINATION IN HOLSTEIN HEIFERS IN MEXICO: PRELIMINARY RESULTS

2005· article· en· W1971980871 on OpenAlexaboutno aff
A. Barba, Yvonne Ducolomb, S. Romo

Bibliographic record

VenueReproduction Fertility and Development · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic and phenotypic traits in livestock
Canadian institutionsnot available
Fundersnot available
KeywordsSemenArtificial inseminationFertilityInseminationAnimal scienceBiologySpermSexingStrawGynecologyPregnancy ratePregnancyAndrologyMedicinePopulationAnatomyAgronomy

Abstract

fetched live from OpenAlex

Nowadays, X- and Y- sperm can be sorted reliably by flow cytometry/cell sorting. However, this new technology is rarely being adopted by dairy farmers in Mexico and in developing countries, mainly due to the higher price of sexed semen straws and to a lack of information and knowledge of the results that can be obtained with its use under field conditions. In 2004, a field experiment started in a dairy farm in Tizayuca, State of Hidalgo, Mexico, aimed to examine fertility and sex ratios after artificial insemination (AI) in heifers under field conditions. Semen from two Holstein bulls was used for the experiment. The semen was sexed and frozen by XY Mexico (subsidiary of XY, Inc., Fort Collins, CO, USA). Only the X fraction of spermatozoa was sorted and frozen in 0.25 cc plastic straws with 2.0 × 106 spermatozoa/straw. Sixty Holstein heifers averaging 14 months of age were artificially inseminated 12 hours after naturally occurring standing heat, using one straw of sexed semen, from June to October 2004. Fertility data of all inseminations were collected by rectal palpation from Days 45 to 60 after AI. A total of 30 heifers were pregnant, indicating a fertility of 50% froma single service. Sex of the calves was confirmed after calving between March and July 2005. From a total of 30 calves born after normal pregnancy, 27 were females (90%) and 3 were males (10%). In contrast, the pregnancy rate obtained in 60 heifers inseminated with non-sexed semen from the same two bulls was 68% (41 pregnant). From this group of heifers, 20 female (49%) and 21 male (51%) calves were born. Chi-square analysis indicated that pregnancy rates and sex ratios between the two groups were significantly different ( P < 0.05). This preliminary information indicates that there is an advantage in the sex ratio obtained when using sexed semen for AI in Holstein heifers. This is especially important at a time when importation of replacement heifers to Mexico from Canada and the USA is not an option. However, more experiments are needed to confirm the results obtained in this preliminary study. Sexed semen and Holstein heifers were provided by Rancho El Nacimiento, Establo 196, Tizayuca, State of Hidalgo, México.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
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 head0.046
GPT teacher head0.270
Teacher spread0.224 · 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

Citations2
Published2005
Admission routes1
Has abstractyes

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