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Opportunities from mobile NIRS
Michael Blummel
m.blummel@cgiar.org This document is licensed for use under the Creative Commons
Attribution 4.0 International Licence. May 2019
Introduction
Feed and Forage research and
extension requires a wider range of
feed quality information. Rapid and
affordable feed quality assessments
are needed.
The CGIAR Research Program on Livestock thanks all donors &
organizations which globally support its work through their
contributions to the CGIAR Trust Fund. cgiar.org/funders
Feed quality information are indispensable
for least cost ration design, feed supply
and demand scenarios, prediction of
livestock performance and selection in
crop and forage improvement programs.
While these facts are accepted, feed
quality information are often lacking
because of logistical constraints such as
sample preparation and sample shipment
requirements, lack of analytical laboratory
infrastructure and high cost of analytical
services. Mobile, handheld and affordable
NIRS instruments could overcome these
constraints.
Feeds & Forages | Cluster 1
Methods/discussion
For mobile NIRS:
• Brimrose
• Phazir
• Tellspec
• Scio
Tested against FOSS XDS with
550 Ethiopian feed samples, 250
blind-predicted for N, NDF, ADF,
ADL, IVOMD and ME
NIRS R2 Cup R2 Plastic Bag
FOSS XDS 0.97-0.99 0.87-0.98
Brimrose 0.62-0.85 0.48-0.88
Phazir 0.81-0.99 0.80-0.97
Tellspec 0.84-0.94 0.84-0.95
Scio 0.52-0.63 0.31-0.52
Findings
• Some mobile such as Tellspec
(< 1 000 US $) close to FOSS XDS
performance
• Brimrose and Phazir still > 40 000
US $
• Scanning in plastic bags in the field
possible

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Opportunities from mobile NIRS

  • 1. o Opportunities from mobile NIRS Michael Blummel m.blummel@cgiar.org This document is licensed for use under the Creative Commons Attribution 4.0 International Licence. May 2019 Introduction Feed and Forage research and extension requires a wider range of feed quality information. Rapid and affordable feed quality assessments are needed. The CGIAR Research Program on Livestock thanks all donors & organizations which globally support its work through their contributions to the CGIAR Trust Fund. cgiar.org/funders Feed quality information are indispensable for least cost ration design, feed supply and demand scenarios, prediction of livestock performance and selection in crop and forage improvement programs. While these facts are accepted, feed quality information are often lacking because of logistical constraints such as sample preparation and sample shipment requirements, lack of analytical laboratory infrastructure and high cost of analytical services. Mobile, handheld and affordable NIRS instruments could overcome these constraints. Feeds & Forages | Cluster 1 Methods/discussion For mobile NIRS: • Brimrose • Phazir • Tellspec • Scio Tested against FOSS XDS with 550 Ethiopian feed samples, 250 blind-predicted for N, NDF, ADF, ADL, IVOMD and ME NIRS R2 Cup R2 Plastic Bag FOSS XDS 0.97-0.99 0.87-0.98 Brimrose 0.62-0.85 0.48-0.88 Phazir 0.81-0.99 0.80-0.97 Tellspec 0.84-0.94 0.84-0.95 Scio 0.52-0.63 0.31-0.52 Findings • Some mobile such as Tellspec (< 1 000 US $) close to FOSS XDS performance • Brimrose and Phazir still > 40 000 US $ • Scanning in plastic bags in the field possible