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Carbonatitic melt–rock interactions in the crust provide key insights into element mobility, metasomatic processes, and the formation of rare mineral assemblages in high-grade metamorphic terrains. Ekanite-containing calc-silicate dykes at Ampegama, southwestern Highland Complex, Sri Lanka, provide compelling evidence for the interaction of crustal-derived carbonatitic melt with charnockitic gneiss wall rocks, forming an “anti...
Microbial biological control agents are increasingly used as an alternative to synthetic pesticides. The application of these microorganisms massively affects all members of plant‐colonising microbial communities, including pathogenic fungi. In the majority of cases, the resulting competition for ecological niches is decided by the toxicity of microbial secondary metabolites (SMs) formed. In this study, we devised confrontatio...
Metabolic re-programming in confrontations of Colletotrichum graminicola and Aspergillus nidulans with Bacillus biocontrol agentsNARA Subscribed
We established confrontations between two different fungi, i.e., the maize anthracnose and stalk rot pathogen Colletotrichum graminicola , and the ubiquitous fungus Aspergillus nidulans , and different biocontrol species, i.e., Bacillus subtilis , Bacillus velezensis , and Bacillus amyloliquefaciens . In all fungus–bacterium confrontations tested, growth arrest and, thus, distance inhibition was observed on solid substrata. LC...
Optimizing selection based on BLUPs or BLUEs in multiple sets of genotypes differing in their population parametersNARA Subscribed
Key message Selection response in truncation selection across multiple sets of candidates hinges on their post-selection proportions, which can deviate grossly from their initial proportions. For BLUPs, using a uniform threshold for all candidates maximizes the selection response, irrespective of differences in population parameters. Abstract Plant breeding programs typically involve multiple families from either the same or d...
Key message Training sets produced by maximizing the number of parent lines, each involved in one cross, had the highest prediction accuracy for H0 hybrids, but lowest for H1 and H2 hybrids. Abstract Genomic prediction holds great promise for hybrid breeding but optimum composition of the training set (TS) as determined by the number of parents ( n TS ) and crosses per parent ( c ) has received little attention. Our objective...
EPMA-World Congress 2015NARA Subscribed
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