Skip to main content
padlock icon - secure page this page is secure

Feeding quality assessment of fresh maize stover by means of near-infrared spectroscopy with a new sample presentation unit

Buy Article:

$47.00 + tax (Refund Policy)


Stover quality traits are important in breeding programmes of maize cultivars. However, conventional procedures for evaluation of stover quality are expensive and thus limit the full exploitation of the available genetic variability. Our objective was to assess the potential of near-infrared spectroscopy (NIRS) with a new sample presentation unit to determine feeding quality of maize stover. The plant material comprised maize inbreds and hybrids. The sample presentation unit was equipped with a near-infrared diode-array spectrometer. Coefficient of determination in cross-validation ranged between 0.77 and 0.94 for contents of dry matter, nitrogen, neutral detergent fibre and in vitro fermentability expressed as gas volume after 24h incubation time, but it was lower for ash content. It was concluded that NIRS with the new sample presentation unit was less accurate than laboratory NIRS to predict the standard reference methods. However, the new sample presentation unit might be used as a fast and efficient technique to perform large screenings of maize stover accessions in breeding programmes.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Zea mays; feeding quality; maize stover; near-infrared spectroscopy; sample presentation unit

Document Type: Short Communication

Affiliations: 1: Institute of Plant Breeding, Seed Science and Population Genetics, University of Hohenheim, Fruwirthstr 21, 70593 Stuttgart, Germany 2: International Livestock Research Institute, Patancheru, 502324 Andhra Pradesh, India

Publication date: 01 April 2008

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more