Breeding strategies for sustainable forage and turf grass improvement

<p>Preface.- 1. What global and/or European agriculture will need from grasslands and grassland breeding over the next 10-15 years for a sustainable agriculture; D. Reheul et al.- 2.1. Marker Assisted Selection Made Cheap and Easy; H. Riday et al.- 2.2. Genome-wide SNP marker development and QTL identification for genomic selection in red clover; S. Isobe et al.- 2.3. Breeding for resistance to bacterial wilt in ryegrass: insights into the genetic control of plant resistance and pathogen virulence; R. Koelliker et al.- 2.4. Mechanisms utilized within the IBERS diploid Lolium perenne L. forage grass breeding programmes to improve rumen nitrogen use efficiency; R. Hayes et al.- 2.5. Population genetics of the grass self-incompatibility system – Practical implications for grass breeding programmes; C. Manzanares et al.- 2.6. Use of molecular marker information in the construction of polycrosses to enhance yield in a Lolium perenne breeding programme; A. Ghesquiere et al.- 2.7. An analysis of chromosome pairing behaviour in newly synthesized alfalfa tetraploids by means of SSR markers; D. Rosellini et al.- 2.8. Genome constitution in selected and unselected plants of F₂-F₄ generations derived from an allotetraploid Festuca pratensis x Lolium perenne hybrid; Z. Zwierzykowski et al.- 2.9. Estimation of temporal allele frequency changes in ryegrass populations selected for axillary tiller development; G. Brazauskas et al.- 2.10. Understanding the genetic basis for slow plant-mediated proteolysis in Festulolium hybrids; S. O’Donovan et al.- 2.11. Chromosomal rearrangements in tetraploid introgressions of Lolium perenne/Festuca pratensis; T. Ksiazczyk et al.- 3.1. Establishing Chromosome Genomics in Forage and Turf Grasses; D. Kopecky et al.- 3.2. DArTFest DNA Array – Applications and Perspectives for Grass Genetics, Genomic s and Breeding; D. Kopecky et al.- 3.3. Using DArT markers in Festuca x Lolium breeding; M. Ghesquiere et al.- 3.4. Development of an SNP identification pipeline for highly heterozygous crops; T. Ruttink et al.- 3.5. First insights into the mitochondrial genome of perennial ryegrass (Lolium perenne); K. Diekmann et al.- 3.6. Quantifying early vigour and ground cover using digital image analysis; M. Cougnon et al.- 3.7. Expression of the Lolium perenne TERMINAL FLOWER 1 gene in alfalfa and tobacco; D. Rosellini et al.- 3.8. Morphological and molecular characterization of branching in red clover (Trifolium pratense); G. Cnops et al.- 4.1. Designing grass cultivars for droughts and floods; M. Humphreys et al.- 4.2. Variation and heritability of α-linolenic acid content and rumen escape protein fraction in fodder grass and clover; J. Baert et al.- 4.3. Similarities and differences in leaf proteome response to cold acclimation between Festuca pratensis and Lolium perenne; A. Kosmala et al.- 4.4. Multi-population QTL detection for flowering time, stem elongation and quality traits in Medicago truncatula; B. Julier et al.- 4.5. Role of RCT1 gene in anthracnose resistance in alfalfa; B. Julier et al.- 4.6. The EUCARPIA multi-site rust evaluation – results 2010; F.X. Schubiger et al.- 4.7. The main topics of resistance breeding in grasses in the Czeck Republic; B. Cagas, M. Svogodová.- 5.1. Origins of diploid Dactylis from the Canary Islands as determined by DNA sequencing; A. Stewart et al.- 5.2. Introduction and adaptation of Cynodon L. C. Rich species in Australia; M. Jewell et al.- 5.3. Variation in traits associated with carbon sequestration for a range of common amenity grass species; S. Duller et al.- 5.4. Suitability of different grass species for phytoremediation of soils polluted with heavy metals; G. Zurek et al.- 5.5. Targeting Lucerne cultivars to saline-soil environments; L. Pecetti et al.- 5.6. Comparison of seed mixtures for technical revegetation at high altitude ; L. Pecetti et al.- 5.7. Genetic diversity for cell wall digestibility in a diverse Lolium perenne collection; H. Muylle et al.- 5.8. Variability among accessions of forage vetch for basic agronomic and morphological traits under agro-ecological conditions of Serbia; Z. Lugić et al.- 5.9. Genetic variation of root characteristics and deep root production in perennial ryegrass cultivars contrasting in field persistency; D. Skolovic et al.- 5.10. The study of similarities among Medicago sativa L. accessions; D. Knotova et al.- 5.11. Genetic structure and agronomic value of Italian lucerne landacres: a synopsis; P. Annicciarico. 5.12. The use of genebank accessions in the breeding programme of Lolium perenne; A. Ghesquiere, J. Baert.- 5.13. Characterization and evaluation of genebank accessions as a pre-selection instrument for plant breeding objectives and strategies; S. Nehrlich et al.- 5.14. Exploitation of ‘site-specific’ Alpine grass germplasm for revegetation at high altitude; L. Pecetti et al.- 6.1. The impact of perennial ryegrass variety throughout the growing season on in vitro rumen methane output; P. Purcell et al.- 6.2. Origin and yield of European perennial ryegrass (Lolium perenne L.) varieties in Ireland; D. Grogan.- 6.3. Yield dynamics and quality of white clover and perennial ryegrass; B. Cupina.- 6.4. Influence of plant growth promoting rhizobacteria on alfalfa, Medicago sativa L. yield by inoculation of a preceding Italian ryegrass, Lolium multiflorum Lam.; D. Delic et al.- 6.5. Optimal plant type of pea for mixed cropping with cereals; P. Annicchiarico et al.- 6.6. Dry matter recovery and aerobic stability of maize whole-crop, cob and stover silages – harvest date and cultivar effects; J. Lynch et al.- 6.7. Performance of forage soya bean (Glycine max) cultivars in the northern Balkans; A. Mikic et al.- 6.8. Effects of trinexapac-ethyl (Moddus) on seed yields and its quality of eleven temperate grass species; R. Machác.- 6.9. The chemical composition of a range of forage grasses grown under two nitrogen fertilizer inputs and harvested at different stages of maturity; C. King et al.- 6.10. NIRS calibration strategies for the botanical composition of grass-clover mixtures; M. Cougnon et al.- 6.11. Comparison of LOCAL and GLOBAL calibration models to predict ryegrass quality using near infrared reflectance spectroscopy; G. Burns et al.- 6.12. Grass for biogas production – anaerobic methane production from give common grassland species at sequential stages of maturity; J. McEniry et al.- Index.</p>