Publication Date
1985
Description
A major research effort has been directed to finding suitable forage species for animal production in various regions of Indonesia. The two difficulties common to most preliminary evaluation studies of large numbers of diverse groups of forage plants is in deciding firstly what plant attributes should be assessed and secondly, the methods to be used in the management and analysis of large masses of data. A set of minimum plant attributes has been used for both grasses, herbaceous legumes and tree legumes in experiments at a number of key testing sites in Indonesia. A computerized system of data management from the field to final analysis is described, which allows maximum access to the field records, flexibility in their manipulation and the use of multivariate analysis to summarize agronomic performance.
Citation
Ivory, D A.; Ella, A; Nulik, J; Salam, R; Siregar, M E.; and Yuhaeni, S, "Assessment of Agronomic Performance of Large Numbers of Plant Accessions using a Computerized Data Management System" (2025). IGC Proceedings (1989-2023). 28.
https://uknowledge.uky.edu/igc/1989/session14/28
Included in
Agricultural Science Commons, Agronomy and Crop Sciences Commons, Plant Biology Commons, Plant Pathology Commons, Soil Science Commons, Weed Science Commons
Assessment of Agronomic Performance of Large Numbers of Plant Accessions using a Computerized Data Management System
A major research effort has been directed to finding suitable forage species for animal production in various regions of Indonesia. The two difficulties common to most preliminary evaluation studies of large numbers of diverse groups of forage plants is in deciding firstly what plant attributes should be assessed and secondly, the methods to be used in the management and analysis of large masses of data. A set of minimum plant attributes has been used for both grasses, herbaceous legumes and tree legumes in experiments at a number of key testing sites in Indonesia. A computerized system of data management from the field to final analysis is described, which allows maximum access to the field records, flexibility in their manipulation and the use of multivariate analysis to summarize agronomic performance.
