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Record W3119580141 · doi:10.1071/rdv33n2ab43

43 Correlates of reproductive tract anatomy and uterine histomorphometrics with fertility in swine

2021· article· en· W3119580141 on OpenAlexaff
Jonathan D’Ambrosio, Martyna Małopolska, R. Tuz, T. Schwarz, L. Ekanayake, Bahareh Ahmadi, J Nowicki, Ewa Tomaszewska, Małgorzata Grzesiak, Pawel M. Bartlewski

Bibliographic record

VenueReproduction Fertility and Development · 2021
Typearticle
Languageen
FieldVeterinary
TopicAnimal Behavior and Welfare Studies
Canadian institutionsUniversity of Guelph
FundersRussian Science FoundationMinistry of Agriculture, Food and Rural Affairs
KeywordsBiologyLitterEstrous cycleReproductive tractFertilityLuteal phaseUterusAnimal scienceLarge whiteOvaryGynecologyEndocrinologyEcologyFollicular phasePopulationMedicine

Abstract

fetched live from OpenAlex

Economic potential of the swine industry hinges upon the reproductive performance of sows, which may be enhanced by improving uterine capacity, a component trait of litter size and piglet productivity. Previous attempts at characterising morphological traits indicative of high uterine volume have not been completely successful, resulting in the continued need for a reliable method of predicting reproductive value to improve production efficiency of the sow. Hence, the main objective of this study was to scrutinize macro- and micro-morphology of the sow’s reproductive tract for quantitative correlations with fertility indices. Reproductive records from Polish Landrace×Polish Large White sows (mean±s.e.m. parity: 4.3±0.6, range: 2–8) were used to examine the associations between fertility and ovarian/uterine morphology (n=34) or uterine histomorphometry (n=10) posthumously. Simple linear regression was performed to determine the relationship between anatomical or histological parameters and various measures of reproductive performance. Several measures related to the ovary, including right and left ovarian weight (r=0.50, P=0.005, and r=0.49, P=0.006, respectively), were positively correlated with the litter size, whereas left ovarian number of corpora lutea (r=−0.38, P=0.04) was negatively correlated with the mean litter size. Analysis of histomorphological characteristics of the uterine wall collected during the luteal phase of the oestrous cycle revealed correlations between mean litter size and myometrial vascular content (r=0.75, P=0.03), the proportion of myometrial stroma (r=−0.68, P=0.03), and the variability of endometrial thickness (r=−0.72, P=0.02) in sows. Eight ovarian, vaginal, and uterine characteristics were significantly correlated with mean lifetime numbers of live born and stillborn piglets/litter or the last litter size before slaughter. In conclusion, several anatomical and histomorphological metrics that relate to reproductive performance of swine may be used to inform production protocols and as a tool for selection of elite breeding sows, warranting future research into noninvasive or minimally invasive techniques for obtaining such measures.

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)0.001
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 score0.027
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.053
GPT teacher head0.312
Teacher spread0.259 · 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
Published2021
Admission routes1
Has abstractyes

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