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Cloning of Dolly the Sheep01:08

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The first successfully cloned mammal was Dolly, a sheep, born on 5th July 1996 at Roslin Institute, Scotland. The cloned sheep was named after the American singer Dolly Parton. Dolly lived for seven years and died of respiratory complications, which is speculated to be due to the actual age of her DNA. Because the DNA in cloned cells belongs to an older individual,  the cloned individual’s life expectancy may be affected. Indeed, analysis of Dolly’s DNA revealed shorter telomeres than other...

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A Hyperandrogenic Mouse Model to Study Polycystic Ovary Syndrome
08:20

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Published on: October 2, 2018

Modelling female reproductive function in farmed animals.

I Vetharaniam1, A J Peterson, K P McNatty

  • 1AgResearch Limited, Private Bag 3123, Hamilton 3240, New Zealand. kumar.vetharaniam@agresearch.co.nz

Animal Reproduction Science
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

Mathematical modeling offers a systems approach to improve mammalian reproduction in farmed animals, addressing costly impairments in intensive production systems. This review highlights progress and future directions for modeling in reproduction science.

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Area of Science:

  • Reproductive biology
  • Agricultural science
  • Mathematical modeling

Background:

  • Impaired reproduction in farmed animals incurs significant agricultural costs, worsened by intensive farming.
  • Biological research has advanced understanding, but a systems-level insight into mammalian reproductive mechanisms is lacking.

Purpose of the Study:

  • To review mathematical modeling developments in mammalian reproduction over the last decade.
  • To identify insights, limitations, and future directions for modeling in reproduction science.

Main Methods:

  • Systematic review of mathematical models applied to reproduction.
  • Analysis of models ranging from cellular pathways to herd management.

Main Results:

  • Steady progress in mathematical modeling for various reproductive issues has been observed.
  • Models offer a systems approach to consolidate information and predict intervention outcomes.

Conclusions:

  • Mathematical modeling is crucial for a systems-level understanding of mammalian reproduction.
  • Further development of modeling is needed to address limitations and advance reproduction science in agriculture.