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Article
2022
Quantitative-genetic evaluation of resistances to five fungal diseases in a large triticale diversity panel (×Triticosecale)
Quantitative-genetic evaluation of resistances to five fungal diseases in a large triticale diversity panel (×Triticosecale)
Abstract (English)
The man-made cereal triticale was fully resistant to the biotrophic diseases powdery mildew, leaf rust, yellow rust, and stem rust from its introduction in Europe in the mid-1970s until about 1990. In the following years, new races that were able to infect at least some triticale genotypes developed in all four pathogen populations, and resistance breeding came into focus. Here, we analyzed 656 winter triticale cultivars from 12 countries for resistance to these biotrophic diseases and Fusarium head blight (FHB) at up to 8 location-year combinations (environments). FHB ratings were corrected for plant height and heading stage by comparing three statistical methods. Significant (p < 0.001) genetic variances were found for all resistances with moderate to high entry-mean heritabilities. All traits showed a normal distribution, with the exception of stem rust, where the ratings were skewed towards resistance. There were no substantial correlations among the five disease resistances (r = −0.04 to 0.26). However, several genotypes were detected with multi-disease resistance with a disease rating below average for all five diseases simultaneously. In future, such genotypes must be selected primarily to cope with future challenges of less pesticide use and global climate change.
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Crops, 2 (2022), 3, 218-232.
https://doi.org/10.3390/crops2030016.
ISSN: 2673-7655
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English
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630 Agriculture
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Sustainable Development Goals
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@article{Miedaner2022,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16617},
doi = {10.3390/crops2030016},
author = {Miedaner, Thomas and Flath, Kerstin and Starck, Norbert et al.},
title = {Quantitative-genetic evaluation of resistances to five fungal diseases in a large triticale diversity panel (×Triticosecale)},
journal = {Crops},
year = {2022},
volume = {2},
number = {3},
}