Abstract

The current cultivar testing is designed to extrapolate the effects of cultivar on yield asobserved in multi-environment trials to a whole target population of stable environments.Under unstable environments, including climate change and food demand change, theevaluation of cultivar performances requires new tools where the observed effects of cultivaron physiological processes are extrapolated into a variable environment. The use of cultivarparameters and environmental inputs in simulation models can support cultivar evaluation forthese purposes (Yin et al., 2003). In this study, we used a forage crop model based onweather data, plant and soil characteristics, MAISPROQ (Herrmann et al., 2005), to estimategenotype specific parameters of two forage maize cultivars (Zea mays) and to predict theirfuture dry matter yield (DMY) and dry matter content (DMC).

Published in

NJF Report
2013, Volume: 9, number: 1, pages: 7-8
Publisher: NJF

SLU Authors

• Nkurunziza, Libére

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

• Kornher, Alois

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

• Halling, Magnus

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

• Weih, Martin

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

• Eckersten, Henrik

  • Department of Crop Production Ecology, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Agricultural Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/53847