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Improving alfalfa (Medicago sativa L.) cultivar selection by GIS Mapping of fall dormancy and winter survival index classes and modeling seasonal and annual yield
Citation
Hannaway, D and He, F and Moot, D and Yang, X and Mills, A and Smith, R and Teixeira, E and Shewmaker, G and Islam, A and Wang, G, Improving alfalfa (Medicago sativa L.) cultivar selection by GIS Mapping of fall dormancy and winter survival index classes and modeling seasonal and annual yield, Proceedings of the Second World Alfalfa Congress, 11-14 November 2018, Cordoba, Argentina, pp. 185-185. (2018) [Refereed Conference Paper]
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Copyright Statement
Copyright 2018 the authors
Official URL: http://www.worldalfalfacongress.org/
Abstract
There are hundreds of alfalfa cultivars within 11 fall dormancy (FD) and 6 winter survival index (WSI) classifications. Currently, cultivar selection is sub-optimal due to the inability to match cultivar characteristics with planting site conditions. This project is quantifying climatic and soil conditions, FD and WSI requirements, and using GIS tools to map parameterized functions and crop modeling to predict yield.
Item Details
Item Type: | Refereed Conference Paper |
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Keywords: | lucerne, fall dormancy, winter survival index, GIS, alfalfa, mapping |
Research Division: | Agricultural, Veterinary and Food Sciences |
Research Group: | Crop and pasture production |
Research Field: | Agronomy |
Objective Division: | Plant Production and Plant Primary Products |
Objective Group: | Other plant production and plant primary products |
Objective Field: | Other plant production and plant primary products not elsewhere classified |
UTAS Author: | Smith, R (Dr Rowan Smith) |
ID Code: | 129400 |
Year Published: | 2018 |
Deposited By: | TIA - Research Institute |
Deposited On: | 2018-11-28 |
Last Modified: | 2022-09-01 |
Downloads: | 39 View Download Statistics |
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