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
Promoteur(s) : Dumont, Benjamin
Date de soutenance : 26-aoû-2022 • URL permanente : http://hdl.handle.net/2268.2/15967
Détails
Titre : | Validation of a predictive model of the forage potential of Kernza® (Thinopyrum intermedium) and evaluation of the effects of its association with different legumes |
Titre traduit : | [fr] Validation d'un modèle prédictif du potentiel fourrager de Kernza® (Thinopyrum intermedium) et évaluation des effets de son association avec différentes légumineuses. |
Auteur : | Guillaume, Antonin |
Date de soutenance : | 26-aoû-2022 |
Promoteur(s) : | Dumont, Benjamin |
Membre(s) du jury : | Massart, Sébastien
Fagnant, Laura Beckers, Yves Bindelle, Jérôme Decruyenaere, Virginie Duchene, Olivier |
Langue : | Anglais |
Nombre de pages : | 49 |
Mots-clés : | [en] Kernza® - legumes – intercrop – forage quality – NIRS – feed value |
Discipline(s) : | Sciences du vivant > Agriculture & agronomie |
Institution(s) : | Université de Liège, Liège, Belgique |
Diplôme : | Master en bioingénieur : sciences agronomiques, à finalité spécialisée |
Faculté : | Mémoires de la Gembloux Agro-Bio Tech (GxABT) |
Résumé
[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.
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