A High-Throughput Phenotyping Tool to Identify Field-Relevant Anthracnose Resistance in White Lupin
| Autor: | Nelson Nazzicari, Joris Alkemade, Ralf T. Voegele, Maria R. Finckh, Pierre Hohmann, Paolo Annicchiarico, Monika Messmer, Agata Leska, Christine Arncken, Michał Książkiewicz |
|---|---|
| Jazyk: | angličtina |
| Předmět: |
0106 biological sciences
0301 basic medicine Germplasm Veterinary medicine Population Plant Science Quantitative trait locus Biology 01 natural sciences 03 medical and health sciences Lupinus Genotype Colletotrichum education education.field_of_study Resistance (ecology) Inoculation Australia Breeding genetics and propagation biology.organism_classification White (mutation) Plant Breeding 030104 developmental biology Lupinus albus Colletotrichum lupini wound inoculation field resistance breeding genomic prediction Cereals pulses and oilseeds Agronomy and Crop Science 010606 plant biology & botany |
| Zdroj: | Plant Disease |
| ISSN: | 1943-7692 0191-2917 |
| DOI: | 10.1094/pdis-07-20-1531-re |
| Popis: | The seed- and air-borne pathogen Colletotrichum lupini, the causal agent of lupin anthracnose, is the most important disease in white lupin (Lupinus albus) worldwide and can cause total yield loss. The aims of this study were to establish a reliable high-throughput phenotyping tool to identify anthracnose resistance in white lupin germplasm and to evaluate a genomic prediction model, accounting for previously reported resistance quantitative trait loci, on a set of independent lupin genotypes. Phenotyping under controlled conditions, performing stem inoculation on seedlings, showed to be applicable for high throughput, and its disease score strongly correlated with field plot disease assessments (r = 0.95, P < 0.0001) and yield (r = –0.64, P = 0.035). Traditional one-row field disease phenotyping showed no significant correlation with field plot disease assessments (r = 0.31, P = 0.34) and yield (r = –0.45, P = 0.17). Genomically predicted resistance values showed no correlation with values observed under controlled or field conditions, and the parental lines of the recombinant inbred line population used for constructing the prediction model exhibited a resistance pattern opposite to that displayed in the original (Australian) environment used for model construction. Differing environmental conditions, inoculation procedures, or population structure may account for this result. Phenotyping a diverse set of 40 white lupin accessions under controlled conditions revealed eight accessions with improved resistance to anthracnose. The standardized area under the disease progress curves (sAUDPC) ranged from 2.1 to 2.8, compared with the susceptible reference accession with a sAUDPC of 3.85. These accessions can be incorporated into white lupin breeding programs. In conclusion, our data support stem inoculation-based disease phenotyping under controlled conditions as a time-effective approach to identify field-relevant resistance, which can now be applied to further identify sources of resistance and their underlying genetics. |
| Databáze: | OpenAIRE |
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