Publication Date
1989
Description
Sainfoin (Onobrychis viciifolia) is a forage legume that attracts interest due to its feeding value to ruminants. This is based on factors such as hight voluntary intake, non-bloating and protein protection, all of which appear related to the concentration of condensed tannins in the plant tissue (Ulyatt et al., 1977). Agronomic difficulties with sainfoin such as low yield and poor persitence show a lack of consistency between experiments which seem to be due, in part, to the level of heterogeneity displayed by the available sainfoin cultivars and germplasm (Fortune and Withers, 1980; Rumball, 1982). By permitting examination of the relationships between measured variables, multivariate techniques offer a method of grouping individuals into lines (Chatfield and Collins, 1980). This is frequently a requirement of plant breeders. The objective of this work was to examine the pattern of variation in sainfoin grown under controlled environmental conditions. The numerical approach was to examine the variability, simplify the array of data collected, and to consider the effective use of the reduced data.
Citation
Fortune, J A., "Analysis of Variation in Sainfoin (Onobrychis viciifolia) by Clustering" (2025). IGC Proceedings (1989-2023). 4.
https://uknowledge.uky.edu/igc/1989/session3b/4
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Analysis of Variation in Sainfoin (Onobrychis viciifolia) by Clustering
Sainfoin (Onobrychis viciifolia) is a forage legume that attracts interest due to its feeding value to ruminants. This is based on factors such as hight voluntary intake, non-bloating and protein protection, all of which appear related to the concentration of condensed tannins in the plant tissue (Ulyatt et al., 1977). Agronomic difficulties with sainfoin such as low yield and poor persitence show a lack of consistency between experiments which seem to be due, in part, to the level of heterogeneity displayed by the available sainfoin cultivars and germplasm (Fortune and Withers, 1980; Rumball, 1982). By permitting examination of the relationships between measured variables, multivariate techniques offer a method of grouping individuals into lines (Chatfield and Collins, 1980). This is frequently a requirement of plant breeders. The objective of this work was to examine the pattern of variation in sainfoin grown under controlled environmental conditions. The numerical approach was to examine the variability, simplify the array of data collected, and to consider the effective use of the reduced data.
