Breeding Grasses and Protein Crops in the Era of Genomics [electronic resource] /
Brazauskas, Gintaras.editor.
Statkevičiūtė, Gražina.editor.
Jonavičienė, Kristina.editor.
The genomic revolution has opened many opportunities to explore relationships between genetic and phenotypic diversity of plants as never before. The joint meeting addresses challenges of combining genetic resources and advanced omics technologies for enhancing development of next generation breeding strategies that will move plant breeding a step forward. Selection based on genomic technologies allows simultaneous marker discovery and validation, however high- throughput and precise phenotyping remains a major bottleneck limiting the power and resolution of genetic analysis. Additionally, novel sequencing technologies and automated phenotyping approaches generate big data sets requiring efficient data analysis and decision support tools that help breeders to select the superior material for their breeding programs.
Part I Utilization of genetic resources and pre-breeding -- 1. Utilization of genebank accessions to improve northern adaptation of perennial ryegrass (Lolium perenne L.) -- 2. Wild and primitive common bean populations in the germplasm collection at the MBG-CSIC -- 3. Patterns of spring growth and phenology in natural populations of Lolium perenne under contrasting field conditions -- 4. Population structure of red clover ecotypes collected from Europe and Asia -- 5. Enhancing the sustainable use of Lolium perenne genetic resources from genebanks in plant breeding and research -- 6. Tetraploid Festuca apennina is prone to produce triploid hybrid progeny when crossed with diploid Festuca pratensis -- 7. Comparing mitotic and meiotic tetraploid red clover plants for seed yield -- 8. Domesticating shrubby native legumes for pastures and natural grasslands -- 9. Effects of temperature on growth during in vitro embryo culture of field bean (Vicia faba var. minor L.) -- 10. Ecological and agronomic evaluation of Dactylis glomerata subsp. Lobata -- 11. Yield and genetic composition of Latvian ×Festulolium cultivars and breeding material -- 12. Genetic variability of the most important traits in alfalfa cultivars under Lithuanian conditions -- 13. Tetraploid induction in Lolium multiflorum -- 14. The sense of testing sheep preference in tall fescue variety evaluation -- 15. Chemical composition of zigzag clover (Trifolium medium L.) -- 16. Wild and semi natural ecotypes of perennial grasses and legumes - for breeding purposes -- 17. Breeding for improved seed yield of red clover -- Part II Genetic improvement of quality and agronomic traits -- 18. Breeding forage and grain legumes to increase EU's and China's protein self-sufficiency -- 19. Identification of loci controlling timing of stem elongation in red clover using GBS of pooled phenotypic extremes -- 20. Grain yield and morphology of dwarf vs tall white lupin in Mediterranean environments -- 21. Deciphering grain legumes quality riddle: The genomics of bioactive compounds -- 22. Manipulation of rumen nitrogen flows by use of Festulolium hybrids in rumen simulation fermenters -- 23. Paternity test for forage yield improvement in timothy polycross breeding -- 24. Preliminary estimation of variation of alkaloids content in white lupin (Lupinus albus L.) collection -- 25. Yields and quality of some perennial legumes in the Czech Republic -- Part III Breeding for enhanced stress tolerance -- 26. Low crown rust resistance in Norwegian material of Lolium perenne and ×Festulolium -- 27. Unravelling the genetic control of bacterial wilt resistance in ryegrass: achievements, prospects and challenges -- 28. Genotyping of Festulolium cultivars involved in EUCARPIA multi-site trial using DArT markers and GISH -- 29. Transcriptomic analysis of drought-sensitive and tolerant genotypes of perennial ryegrass (Lolium perenne L.) -- 30. Selection of perennial ryegrass spaced plants in sward conditions -- 31. Variation in intrinsic water use efficiency between perennial ryegrass genotypes differing for drought tolerance -- 32. Physiological indicators of tolerance to soil water deficit in Lolium multiflorum/Festuca arundinacea introgression forms -- 33. Incidence of six grass species by Fusarium sp. as a cause of silvertop -- 34. Crown rust and brown blight infection of perennial ryegrass cultivars representing three maturity groups -- 35. Correlation of seed yield and its components and chlorophyll fluorescence parameters in the narrow leafed lupin (Lupinus angustifolius L.) -- 36. Seventh Workshop of the EUCARPIA Festulolium Working Group -- Part IV Implementation of phenomic and genomic tools in breeding -- 37. Using LIDAR for forage yield measurement of perennial ryegrass (Lolium perenne L.) field plots -- 38. An indoor screening method for reduced fall dormancy in alfalfa -- 39. Application of multivariate analysis for genotype evaluation in soybean -- 40. Polymorphism of soybean cultivars and breeding lines revealed by marker Satt100 associated with the E7 locus -- 41. Genetic diversity assessment of two Medicago sativa genes: CAD and WXP1 -- 42. Testing for freezing tolerance in perennial ryegrass -- 43. The multifunctional role of legumes in vineyards and orchards -- 44. Hydroponic evaluation of growth and nutrient uptake in a Lolium/Festuca introgression series -- 45. Use of GBS for lucerne variety distinction -- 46. Genome-wide and functional gene analysis of perennial ryegrass for improved growth under water limiting conditions (GrowGene) -- 47. Genomic selection for biomass yield of perennial and annual legumes.
The genomic revolution has opened many opportunities to explore relationships between genetic and phenotypic diversity of plants as never before. The joint meeting addresses challenges of combining genetic resources and advanced omics technologies for enhancing development of next generation breeding strategies that will move plant breeding a step forward. Selection based on genomic technologies allows simultaneous marker discovery and validation, however high- throughput and precise phenotyping remains a major bottleneck limiting the power and resolution of genetic analysis. Additionally, novel sequencing technologies and automated phenotyping approaches generate big data sets requiring efficient data analysis and decision support tools that help breeders to select the superior material for their breeding programs.
Plant breeding.
Bioinformatics.
Plant genetics.
Agriculture.
Plant Breeding/Biotechnology.
Bioinformatics.
Plant Genetics and Genomics.
Agriculture.