Publications by authors named "Philipp H G Boeven"

Article Synopsis
  • Plant genetic resources (PGR) in genebanks serve as crucial assets for future crop diversity, especially in breeding programs.
  • Genotyping and whole-genome shotgun sequencing were applied to large samples of winter wheat PGR and modern cultivars to identify traits and improve resistance to threats like yellow rust.
  • The integration of genomic and phenotypic data promises to enhance breeding strategies, providing better insights into PGR's potential contributions to crop yield and adaptation.
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Article Synopsis
  • The text discusses the importance of maintaining genetic diversity in genebanks for future crop improvement, specifically focusing on wheat.
  • It outlines a new strategy that utilizes genomic data to enhance wheat breeding by incorporating nonadapted germplasm and identifying useful genetic traits.
  • The study found potential sources of resistance to yellow rust and determined that crosses between elite cultivars and plant genetic resources can lead to higher yields in field trials.
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A resistance gene atlas is an integral component of the breeder's arsenal in the fight against evolving pathogens. Thanks to high-throughput sequencing, catalogues of resistance genes can be assembled even in crop species with large and polyploid genomes. Here, we report on capture sequencing and assembly of resistance gene homologs in a diversity panel of 907 winter wheat genotypes comprising ex situ genebank accessions and current elite cultivars.

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Article Synopsis
  • Reciprocal recurrent genomic selection is a strategy designed to enhance hybrid wheat performance by leveraging two base populations.
  • The study developed predictive genomic equations using data from 1,604 wheat crosses, selecting 20 outstanding female lines to kickstart the selection program.
  • Results indicated a significant selection gain in grain yield after excluding two outlier environments, illustrating both the effectiveness of this breeding approach and the importance of refining predictive models.
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The potential of big data to support businesses has been demonstrated in financial services, manufacturing, and telecommunications. Here, we report on efforts to enter a new data era in plant breeding by collecting genomic and phenotypic information from 12,858 wheat genotypes representing 6575 single-cross hybrids and 6283 inbred lines that were evaluated in six experimental series for yield in field trials encompassing ~125,000 plots. Integrating data resulted in twofold higher prediction ability compared with cases in which hybrid performance was predicted across individual experimental series.

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The genetics underlying heterosis, the difference in performance of crosses compared with midparents, is hypothesized to vary with relatedness between parents. We established a unique germplasm comprising three hybrid wheat sets differing in the degree of divergence between parents and devised a genetic distance measure giving weight to heterotic loci. Heterosis increased steadily with heterotic genetic distance for all 1903 hybrids.

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Hybrid wheat breeding is a promising strategy to improve the level of leaf rust and stripe rust resistance in wheat. Leaf rust and stripe rust belong to the most important fungal diseases in wheat production. Due to a dynamic development of new virulent races, epidemics appear in high frequency and causes significant losses in grain yield and quality.

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The portfolio of available Reduced height loci (Rht-B1, Rht-D1, and Rht24) can be exploited for hybrid wheat breeding to achieve the desired heights in the female and male parents, as well as in the hybrids, without adverse effects on other traits relevant for hybrid seed production. Plant height is an important trait in wheat line breeding, but is of even greater importance in hybrid wheat breeding. Here, the height of the female and male parental lines must be controlled and adjusted relative to each other to maximize hybrid seed production.

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This study revealed a complex genetic architecture of male floral traits in wheat, and Rht-D1 was identified as the only major QTL. Genome-wide prediction approaches but also phenotypic recurrent selection appear promising to increase outcrossing ability required for hybrid wheat seed production. Hybrid wheat breeding is a promising approach to increase grain yield and yield stability.

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Global wheat genetic diversity can be used in a unified framework to support and accelerate hybrid breeding and the development of heterotic groups in wheat. Hybrid wheat breeding has great potential to increase the global wheat grain yield level particularly in view of the increasing abiotic and biotic stress challenges as well as variable climatic conditions. For the long-term success of hybrid wheat breeding and the maximum exploitation of heterosis, high-yielding heterotic patterns must be established.

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Background: Copy number variation was found to be a frequent type of DNA polymorphism in the human genome often associated with diseases but its importance in crops and the effects on agronomic traits are still largely unknown.

Results: Here, we employed a large worldwide panel of 1110 winter wheat varieties to assess the frequency and the geographic distribution of copy number variants at the Photoperiod-B1 (Ppd-B1) and the Vernalization-A1 (Vrn-A1) loci as well as their effects on flowering time under field conditions. We identified a novel four copy variant of Vrn-A1 and based on the phylogenetic relationships among the lines show that the higher copy variants at both loci are likely to have arisen independently multiple times.

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