Validation of a predictive model of the forage potential of Kernza® (Thinopyrum intermedium) and evaluation of the effects of its association with different legumes
Guillaume, Antonin
Promotor(s) : Dumont, Benjamin
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 |
Date of defense : | 26-Aug-2022 |
Advisor(s) : | Dumont, Benjamin |
Committee's member(s) : | Massart, Sébastien
Fagnant, Laura Beckers, Yves Bindelle, Jérôme 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)
Cite this master thesis
The University of Liège does not guarantee the scientific quality of these students' works or the accuracy of all the information they contain.