Classification of Legume Quality Based on Chemical Composition and Digestibility Values using Multivariate Analysis
Dedy Nanda Kurniawan1, Nahrowi Nahrowi2, Yulianri Rizki Yanza3,4, Vincent Niderkorn5, Anuraga Jayanegara2,4*
1Graduate Study Program of Nutrition and Feed Science, IPB University, Bogor, Indonesia; 2Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Bogor, Indonesia; 3Department of Animal Nutrition and Feed Technology, Faculty of Animal Science, Universitas Padjadjaran, Jatinangor, Indonesia; 4Animal Feed and Nutrition Modelling (AFENUE) Research Group, Faculty Animal Science, IPB University, Bogor, Indonesia; 5INRAE, VetAgro Sup, UMR Herbivores, Université Clermont Auvergne, Saint-Genès-Champanelle, France.
*Correspondence | Anuraga Jayanegara, Department of Nutrition and Feed Technology, Faculty of Animal Science, IPB University, Bogor, Indonesia; Email:
[email protected]
Figure 1:
Relationship between variables with PC1 (X axis) and PC2 (Y axis).
Figure 2:
a: PCA score biplot on categories of legume type; b: climatic region; c: edible part.
Figure 3:
(a) Optimising the number of clusters using the silhoutte method; (b) legume plots with two clusters.