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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 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
Keywords:lucerne, fall dormancy, winter survival index, GIS, alfalfa, mapping
Research Division:Agricultural and Veterinary 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: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:2019-03-25
Downloads:3 View Download Statistics

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