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Precise Phage Mutagenesis with NgTET-Assisted CRISPR-Cas Systems
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Review: Grass-based dairy systems, data and precision technologies.

L Shalloo1, M O' Donovan1, L Leso2

  • 11Animal & Pastureland Research and Innovation Centre,Moorepark,Fermoy,Co. Cork,Ireland.

Animal : an International Journal of Animal Bioscience
|October 23, 2018
PubMed
Summary
This summary is machine-generated.

Precision technologies offer limited benefits for grass-based livestock systems due to challenges like connectivity and data integration. User-driven development and better decision support are needed for wider adoption in pasture-based farming.

Keywords:
big datacost–benefit analysisdecision supportpasturesensors

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Area of Science:

  • Agricultural Science
  • Precision Livestock Farming
  • Ruminant Production Systems

Background:

  • Precision technologies have had modest impacts on grass-based livestock systems compared to arable farming.
  • Pasture-based systems present unique challenges for technology implementation, including large grazing areas and connectivity issues.
  • Current adoption of precision technologies in pasture-based farming is slower than anticipated, hindering efficiency gains.

Purpose of the Study:

  • To evaluate the current impact and adoption of precision technologies in grass-based livestock production.
  • To identify challenges and opportunities for implementing precision farming in pasture-based dairy systems.
  • To propose a user-need-driven approach for developing and delivering precision technology solutions.

Main Methods:

  • Review of existing literature on precision technologies in livestock farming.
  • Analysis of specific challenges in pasture-based systems (e.g., connectivity, pasture utilization).
  • Assessment of technological advancements in fertility, heat detection, and health management.

Main Results:

  • Few technologies specifically enhance pasture utilization, with spectral analysis still under development.
  • Significant advancements exist in fertility and heat detection technologies, offering potential value.
  • Data processing, integration, and decision-support applications for sensor data remain inadequate, questioning current value.

Conclusions:

  • Widespread adoption of precision technologies is uncertain due to unclear farm management improvements and inadequate decision support.
  • A user-need-driven approach is crucial for developing effective precision technologies.
  • Further cost/benefit analyses are required to justify investment in specific precision technologies for pasture-based systems.