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Missing hills affect the yield of a single plant in experimental plots, as the remaining plants have more space and resources compared to plants in plots without missing hills. However, up to date, no universal way on how to correct for missing hills exists in the context of potato breeding programs. The aim of our study was to (i) compare different approaches to adjust the yield when hills are missing in a plot, (ii) propose...
Introgression of rye chromosome arm 1RS enhances climate resilience in German winter wheatNARA Subscribed
Key message We provide quantitative evidence that rye chromosome arm 1RS exerts background- and context-dependent effects on yield, stability, and grain protein content in contemporary elite winter wheat. Integrated multi-environment analyses demonstrate that translocation lines exhibit pronounced yield stability across 14 contrasting environments, with ‘Insave’- and ‘Petkus’-derived segments contributing through distinct perf...
Bridging tradition and innovation: a review of computer simulations in plant breedingNARA Subscribed
The wide range of tools and methods available to plant breeders today has the potential to increase the gain of selection. However, they also result in numerous complex choices in the design of efficient crossing and selection strategies. Computer simulations are essential to optimize breeding programs that are multi-year, high-effort endeavors and to compare process efficiencies without going through field experiments, thus s...
Assessment of genomic prediction capabilities of transcriptome data in a barley multi-parent RIL populationNARA Subscribed
Key message Low-cost and high-throughput RNA sequencing data for barley RILs achieved GP performance comparable to or better than traditional SNP array datasets when combined with parental whole-genome sequencing SNP data. Abstract The field of genomic selection (GS) is advancing rapidly on many fronts including the utilization of multi-omics datasets with the goal of increasing prediction ability and becoming an integral part...
Transferability of genomic prediction models across market segments in potato and the effect of selectionNARA Subscribed
Genomic prediction (GP) can help increase the efficiency of breeding programs, as genotypes can be selected based on their predicted performance. However, to the best of our knowledge, this procedure is not yet routine in commercial breeding programs in tetraploid organisms like potato ( Solanum tuberosum L.). The objectives of this study were to Estimate the prediction accuracy for 26 different potato traits in a panel of abo...
Fine mapping a QTL for BYDV-PAV resistance in maizeNARA Subscribed
Barley yellow dwarf (BYD) is one of the economically most important virus diseases of cereals worldwide, causing yield losses up to 80%. The means to control BYD are limited, and the use of genetically resistant cultivars is the most economical and environmentally friendly approach. The objectives of this study were i) to identify the causative gene for BYD virus (BYDV)-PAV resistance in maize, ii) to identify single nucleotid...
StCoExpNet: a global co-expression network analysis facilitates identifying genes underlying agronomic traits in potatoesNARA Subscribed
Key message We constructed a gene expression atlas and co-expression network for potatoes and identified several novel genes associated with various agronomic traits. This resource will accelerate potato genetics and genomics research. Abstract Potato ( Solanum tuberosum L.) is the world's most crucial non-cereal food crop and ranks third in food production after wheat and rice. Despite the availability of several potato trans...
Predictive breeding approaches, like phenomic or genomic selection, have the potential to increase the selection gain for potato breeding programs which are characterized by very large numbers of entries in early stages and the availability of very few tubers per entry in these stages. The objectives of this study were to (i) explore the capabilities of phenomic prediction based on drone-derived multispectral reflectance data...
Key message Structural variants (SV) of 23 barley inbreds, detected by the best combination of SV callers based on short-read sequencing, were associated with genome-wide and gene-specific gene expression and, thus, were evaluated to predict agronomic traits. Abstract In human genetics, several studies have shown that phenotypic variation is more likely to be caused by structural variants (SV) than by single nucleotide variant...
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