Feedback

Gembloux Agro-Bio Tech (GxABT)
Gembloux Agro-Bio Tech (GxABT)
MASTER THESIS
VIEW 23 | DOWNLOAD 2

Validation of a predictive model of the forage potential of Kernza® (Thinopyrum intermedium) and evaluation of the effects of its association with different legumes

Download
Guillaume, Antonin ULiège
Promotor(s) : Dumont, Benjamin ULiège
Date of defense : 26-Aug-2022 • Permalink : http://hdl.handle.net/2268.2/15967
Details
Title : Validation of a predictive model of the forage potential of Kernza® (Thinopyrum intermedium) and evaluation of the effects of its association with different legumes
Translated title : [fr] Validation d'un modèle prédictif du potentiel fourrager de Kernza® (Thinopyrum intermedium) et évaluation des effets de son association avec différentes légumineuses.
Author : Guillaume, Antonin ULiège
Date of defense  : 26-Aug-2022
Advisor(s) : Dumont, Benjamin ULiège
Committee's member(s) : Massart, Sébastien ULiège
Fagnant, Laura ULiège
Beckers, Yves ULiège
Bindelle, Jérôme ULiège
Decruyenaere, Virginie 
Duchene, Olivier 
Language : English
Number of pages : 49
Keywords : [en] Kernza® - legumes – intercrop – forage quality – NIRS – feed value
Discipline(s) : Life sciences > Agriculture & agronomy
Institution(s) : Université de Liège, Liège, Belgique
Degree: Master en bioingénieur : sciences agronomiques, à finalité spécialisée
Faculty: Master thesis of the Gembloux Agro-Bio Tech (GxABT)

Abstract

[en] Kernza® is a perennial grain crop derived from intermediate wheatgrass (Thinopyrum
intermedium (Host) Barkworth & Dewey) that offers many advantages over annual grain
crops. In addition to its potential dual use for forage and grain production, it offers many
ecosystem services. The integration of legume intercrops with the Kernza crop enhances these
environmentally beneficial aspects. On the other hand, the beneficial effects of intercropping
on Kernza yields have been demonstrated by several studies, especially due to the symbiotic
relationship of legumes with Rhizobium spp. that allows the fixation of atmospheric N2.
The analysis of the nutritional value of forages is essential to obtain optimal performance in
animal production. Near infrared spectrometry offers a faster and less expensive prediction
potential than reference methods. Two models of chemical composition prediction were
compared, both of which offered acceptable predictions. These models were then used to
predict the forage potential of intercrops of Kernza and 3 different legumes. Biomass yields
were significantly higher in the monoculture microplots. The 3 legumes tested produced
significantly different yields. Overall forage yields were highest for alfalfa and red clover.
White clover had the highest forage potential values.


File(s)

Document(s)

File
Access TFE_GUILLAUME_Antonin.pdf
Description:
Size: 793.06 kB
Format: Adobe PDF

Author

  • Guillaume, Antonin ULiège Université de Liège > Gembloux Agro-Bio Tech

Promotor(s)

Committee's member(s)

  • Massart, Sébastien ULiège Université de Liège - ULiège > Département GxABT > Gestion durable des bio-agresseurs
    ORBi View his publications on ORBi
  • Fagnant, Laura ULiège Université de Liège - ULiège > Département GxABT > Plant Sciences
    ORBi View his publications on ORBi
  • Beckers, Yves ULiège Université de Liège - ULiège > Département GxABT > Ingénierie des productions animales et nutrition
    ORBi View his publications on ORBi
  • Bindelle, Jérôme ULiège Université de Liège - ULiège > Département GxABT > Ingénierie des productions animales et nutrition
    ORBi View his publications on ORBi
  • Decruyenaere, Virginie
  • Duchene, Olivier
  • Total number of views 23
  • Total number of downloads 2










All documents available on MatheO are protected by copyright and subject to the usual rules for fair use.
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.