Predicting spring barley yield from variety-specific yield potential, disease resistance and straw length, and from environment-specific disease loads and weed pressure |
| |
Authors: | Hanne ?sterg?rd Kristian Kristensen Hans O Pinnschmidt Preben Klarskov Hansen and Mogens S Hovm?ller |
| |
Institution: | (1) Biosystems Department, Ris? National Laboratory for Sustainable Energy, Technical University of Denmark, P.O. Box 49, Roskilde, 4000, Denmark;(2) Faculty of Agricultural Sciences, Department of Genetics and Biotechnology, University of Aarhus, Foulum, Tjele, 8830, Denmark;(3) Faculty of Agricultural Sciences, Department of Integrated Pest Management, University of Aarhus, Flakkebjerg, Slagelse, 4200, Denmark |
| |
Abstract: | For low-input crop production, well-characterised varieties increase the possibilities of managing diseases and weeds. This
analysis aims at developing a framework for analyzing grain yield using external varietal information about disease resistance,
weed competitiveness and yield potential and quantifying the impact of susceptibility grouping and straw length scores (as
a measure for weed competitiveness) for predicting spring barley grain yield under variable biotic stress levels. The study
comprised 52 spring barley varieties and 17 environments, i.e., combinations of location, growing system and year. Individual
varieties and their interactions with environments were analysed by factorial regression of grain yield on external variety
information combined with observed environmental disease loads and weed pressure. The external information was based on the
official Danish VCU testing. The most parsimonious models explained about 50% of the yield variation among varieties including
genotype-environment interactions. Disease resistance characteristics of varieties, weighted with disease loads of powdery
mildew, leaf rust and net blotch, respectively, had a highly significant influence on grain yield. The extend to which increased
susceptibility resulted in increased yield losses in environments with high disease loads of the respective diseases was predicted.
The effect of externally determined straw length scores, weighted with weed pressure, was weaker although significant for
weeds with creeping growth habit. Higher grain yield was thus predicted for taller plants under weed pressure. The results
are discussed in relation to the model framework, impact of the considered traits and use of information from conventional
variety testing in organic cropping systems. |
| |
Keywords: | Yield loss analysis Low-input Genotype-environment interaction Powdery mildew Leaf rust Scald Net blotch Weed ground cover |
本文献已被 SpringerLink 等数据库收录! |
|