Publications by authors named "Catherine Howarth"

Genomic prediction has mostly been used in single environment contexts, largely ignoring genotype x environment interaction, which greatly affects the performance of plants. However, in the last decade, prediction models including marker x environment (MxE) interaction have been developed. We evaluated the potential of genomic prediction in red clover ( L.

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Yield is the most complex trait to improve crop production, and identifying the genetic determinants for high yield is a major issue in breeding new varieties. In faba bean ( L.), quantitative trait loci (QTLs) have previously been detected in studies of biparental mapping populations, but the genes controlling the main trait components remain largely unknown.

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The Pc54 oat line carries the crown rust resistance gene and an unknown gene effective against powdery mildew. In this study, two recombinant inbred line (RIL) populations were developed to identify the genomic locations of the two genes and produce lists of molecular markers with a potential for marker-assisted selection. The RILs and parents were phenotyped for crown rust and powdery mildew in a controlled environment.

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Article Synopsis
  • Most oat grains for human consumption need to go through de-hulling with minimal breakage and waste, making certain traits crucial for milling quality, including uniform grain size and high groat-to-hull ratio.
  • This study aimed to identify the genetic components (quantitative trait loci or QTL) that affect these milling quality traits by analyzing a diverse panel of 501 elite and foundational spring oat lines over 13 location years.
  • Researchers discovered 57 QTL linked to milling traits, particularly identifying Qkernel.CORE.4D on chromosome 4D as a key influence on mean levels of all traits examined.
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The extent to which the quality and yield of plant varieties are influenced by the environment is important for their successful uptake by end users particularly as climatic fluctuations are resulting in environments that are highly variable from one growing season to another. The genotype-by-environment interaction (GEI) of milling quality and yield was studied using four winter oat varieties in multi-locational trials over 4 years in the U.K.

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A barrier to the adoption of genomic prediction in small breeding programs is the initial cost of genotyping material. Although decreasing, marker costs are usually higher than field trial costs. In this study we demonstrate the utility of stratifying a narrow-base biparental oat population genotyped with a modest number of markers to employ genomic prediction at early and later generations.

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Introduction: Oats (Avena sativa L.) are a whole grain cereal recognised for their health benefits and which are cultivated largely in temperate regions providing both a source of food for humans and animals, as well as being used in cosmetics and as a potential treatment for a number of diseases. Oats are known as being a cereal source high in dietary fibre (e.

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Although oat cultivation around the Mediterranean basin is steadily increasing, its yield in these regions lags far behind those of Northern Europe. This results mainly from the poor adaptation of current oat cultivars to Mediterranean environments. Local landraces may act as reservoirs of favorable traits that could contribute to increase oat resilience in this region.

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Article Synopsis
  • A study analyzed genetic variations in 4657 cultivated oat accessions using genotyping-by-sequencing, discovering over 164,000 tag-level genetic variants and significantly increasing marker density for mapping.
  • The research created chromosome-level haplotype maps that highlighted differences in haplotype size and diversity, informing potential for genomic analysis and selection in oats.
  • A combined genome-wide association study revealed 184 significant links to heading date, demonstrating that tag-level haplotypes offer superior mapping utility and promising prediction accuracies for genomic selection.
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  • 635 oat lines and 4561 SNP loci were analyzed to understand population structure, linkage disequilibrium (LD), and the relationship between genotypes and heading date.
  • The analysis revealed that 25.3% of genetic variation could be explained by the first five principal components, but no clear structured population was found, although clustering indicated differences between spring oats and southern U.S. origins.
  • Linkage disequilibrium was observed to decay slower in southern oat lines compared to spring oat lines, particularly highlighting an interesting case on linkage group Mrg28, and several linkage groups were consistently associated with heading date across different environments.
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Hexaploid oat ( L., 2 = 6 = 42) is a member of the Poaceae family and has a large genome (∼12.5 Gb) containing 21 chromosome pairs from three ancestral genomes.

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Article Synopsis
  • A genome analysis of 27 oat species revealed their evolutionary relationships and classified the genomes more accurately, particularly identifying the D genome in hexaploid oats.
  • The study employed genotyping-by-sequencing (GBS) methods that successfully aligned with earlier phylogenetic studies, confirming the reliability of GBS for understanding oat genetics.
  • The findings redefined the classification of certain tetraploid species and clarified the origins of chromosomes, emphasizing that no current diploids are closely related enough to be classified with the D genome.
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Flowering time varies between and within species, profoundly influencing reproductive fitness in wild plants and productivity in crop plants. The time of flowering, therefore, is an important statistic that is regularly collected as part of breeding programs and phenotyping experiments to facilitate comparison of genotypes and treatments. Its automatic detection would be highly desirable.

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Article Synopsis
  • The study addresses the challenges of creating a consensus map for the complex hexaploid oat genome (Avena sativa), including the size of the genome and scarcity of molecular markers.
  • It introduces new methodologies for discovering SNPs and a novel anchoring strategy, successfully resulting in the first complete physically-anchored consensus map that includes 985 SNPs.
  • The findings also highlight genetic similarities with other plants, providing tools for detailed genetic analysis and a useful framework for similar research in other complex genomes.
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  • Genomic research in oats faces challenges due to limited shared genetic markers, leading this study to create over 2,000 new genetic markers using Diversity Array Technology (DArT) for oat improvement.
  • Around 19,000 genomic clones were sourced from 60 oat varieties globally, resulting in a significant number of polymorphic markers being identified, with some linked to known gene sequences.
  • The new markers enhanced genetic mapping and analysis of oat diversity, revealing important clusters related to the growth type (spring vs. winter) and breeding programs, thereby laying groundwork for future oat breeding initiatives.
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An asporogenous strain of the pink snow mould fungus, Monographella nivalis (Schaffnit) E. Müller, anamorph Gerlachia nivalis (Ces. ex Sac.

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In this review, changes in plant gene expression in response to environmental stresses are discussed using the examples of high and low temperature treatments. While some changes may contribute to acclimatory processes which improve plant survival or performance under stress, others may be 'shock' responses indicative of sensitivity. The heat-shock response, which is almost ubiquitous among eukaryotic organisms, is characterized by repression of normal cellular protein synthesis mediated at both the transcriptional and the translational level, and induction of heat-shock protein (HSP) synthesis.

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