MétaCan
Menu
← Back to cohort
Record W2996315575 · doi:10.11575/prism/37341

Nutritional Modulation of Reproduction in Bulls

2019· dissertation· en· W2996315575 on OpenAlexfundno aff
Chinju Johnson

Bibliographic record

VenueOpen MIND · 2019
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsnot available
FundersAlberta Livestock and Meat AgencyAlberta Agriculture and Forestry
KeywordsReproductionBiologyAnimal scienceEcology

Abstract

fetched live from OpenAlex

Nutrition is the single most important factor affecting reproductive development in most livestock species. The objective of this thesis was to investigate nutritional modulation of testis development at cellular and molecular level, and sperm function in bulls. In that regard, I investigated impacts of residual feed intake (RFI)- a measure of feed efficiency, early pre-natal diet and pre-pubertal diet on reproductive potential of bulls. In my first study, I investigated impacts of selection for RFI (based on sire and dam) on the reproductive potential of bull calves. Diets of pregnant cows were modulated during early gestation to determine the individual effects of diverse genetic background for RFI and pre-natal diet and the potential interaction between these variables on reproductive potential of bull calves born to them. Selection for RFI negatively impacted reproductive development of bull calves. However, there was no interaction between pre-natal diet and RFI on the reproductive development (age at puberty, SC, sperm production potential and sperm function) of bull calves. On investigating the testes of bulls with varying RFI, I found a possible role of IGF-I signaling in modulating the differences induced by RFI (age at puberty, SC and motility). To further elucidate IGF-I signaling, puberty and its associated testicular change in bulls, I utilized tissues from a differential pre-pubertal feeding study where the pre-pubertal bulls had exhibited elevated IGF-I levels and early puberty when fed a high nutrition diet (energy and protein) from 2-32 wk of life. On evaluating the testes of pre-pubertal bulls fed high vs low diet, I detected enhanced testicular cholesterol biosynthesis and Sertoli cell maturation in the high diet bulls at 16 and 24 wk respectively, with an indirect interaction between the cholesterol biosynthesis genes and the IGF-I receptor. These results suggested that IGF-I signaling is involved in Sertoli cell function. Using a cell culture model, I successfully tested this theory and was able to prove its role in promoting cholesterol biosynthesis. When evaluating the post-pubertal testes of bulls fed differential pre-pubertal nutrition, I detected upregulated mitochondrial function both in the testes and sperm of high diet fed bulls and proposed this as a mechanism to support their greater sperm motility, sperm production potential and enhanced cholesterol biosynthesis. Considering impacts of our dietary modulation on mitochondrial function and its potential involvement in epigenetic regulation, I evaluated the sperm epigenome and detected differential methylation mainly in genes implicated in spermatogenesis, sperm function and early embryo development. To conclude, the results of my thesis offer further confirmation to the AI industry about the benefits of allocating higher nutrition to bulls during their early post-natal life. Nutritional modulation has also been validated as an effective model to study male reproductive development.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.043
GPT teacher head0.300
Teacher spread0.256 · 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 designBench or experimental
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueOpen MIND→Same topicReproductive Physiology in Livestock→French-language works237,207→