Literature DB >> 16390415

A changing climate for grassland research.

M W Humphreys1, R S Yadav, A J Cairns, L B Turner, J Humphreys, L Skøt.   

Abstract

Here, we review the current genetic approaches for grass improvement and their potential for the enhanced breeding of new varieties appropriate for a sustainable agriculture in a changing global climate. These generally out-breeding, perennial, self-incompatible species present unique challenges and opportunities for genetic analysis. We emphasise their distinctiveness from model species and from the in-breeding, annual cereals. We describe the modern genetic approaches appropriate for their analysis, including association mapping. Sustainability traits discussed here include stress resistance (drought, cold and pathogeneses) and favourable agronomic characters (nutrient use efficiency, carbohydrate content, fatty acid content, winter survival, flowering time and biomass yield). Global warming will predictably affect temperature-sensitive traits such as vernalisation, and these traits are under investigation. Grass biomass utilisation for carbon-neutral energy generation may contribute to reduced atmospheric carbon emissions. Because the wider potential outcomes of climate change are unpredictable, breeders must be reactive to events and have a range of well-characterised germplasm available for new applications.

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Year:  2006        PMID: 16390415     DOI: 10.1111/j.1469-8137.2005.01549.x

Source DB:  PubMed          Journal:  New Phytol        ISSN: 0028-646X            Impact factor:   10.151


  17 in total

Review 1.  Metabolomics of forage plants: a review.

Authors:  Susanne Rasmussen; Anthony J Parsons; Christopher S Jones
Journal:  Ann Bot       Date:  2012-02-19       Impact factor: 4.357

Review 2.  Summer dormancy in perennial temperate grasses.

Authors:  Florence Volaire; Mark Norton
Journal:  Ann Bot       Date:  2006-10-06       Impact factor: 4.357

3.  Genetic loci in the photoperiod pathway interactively modulate reproductive development of winter wheat.

Authors:  Shuwen Wang; Brett Carver; Liuling Yan
Journal:  Theor Appl Genet       Date:  2009-02-22       Impact factor: 5.699

4.  Testing water-soluble carbohydrate QTL effects in perennial ryegrass (Lolium perenne L.) by marker selection.

Authors:  L B Turner; M Farrell; M O Humphreys; O Dolstra
Journal:  Theor Appl Genet       Date:  2010-07-09       Impact factor: 5.699

5.  QTL analyses and comparative genetic mapping of frost tolerance, winter survival and drought tolerance in meadow fescue (Festuca pratensis Huds.).

Authors:  Vibeke Alm; Carlos S Busso; Ashild Ergon; Heidi Rudi; Arild Larsen; Michael W Humphreys; Odd Arne Rognli
Journal:  Theor Appl Genet       Date:  2011-04-20       Impact factor: 5.699

6.  Fine-scale comparative genetic and physical mapping supports map-based cloning strategies for the self-incompatibility loci of perennial ryegrass (Lolium perenne L.).

Authors:  Hiroshi Shinozuka; Noel O I Cogan; Kevin F Smith; German C Spangenberg; John W Forster
Journal:  Plant Mol Biol       Date:  2009-11-27       Impact factor: 4.076

7.  Genetic characterisation of seed yield and fertility traits in perennial ryegrass (Lolium perenne L.).

Authors:  Bruno Studer; Louise Bach Jensen; Stephan Hentrup; Gintaras Brazauskas; Roland Kölliker; Thomas Lübberstedt
Journal:  Theor Appl Genet       Date:  2008-06-25       Impact factor: 5.699

8.  Chromosome pairing in allotetraploid hybrids of Festuca pratensis x Lolium perenne revealed by genomic in situ hybridization (GISH).

Authors:  Zbigniew Zwierzykowski; Elzbieta Zwierzykowska; Magdalena Taciak; Neil Jones; Arkadiusz Kosmala; Paweł Krajewski
Journal:  Chromosome Res       Date:  2008-04-15       Impact factor: 5.239

9.  Segregation distortion in Lolium: evidence for genetic effects.

Authors:  U C M Anhalt; P J S Heslop-Harrison; S Byrne; A Guillard; S Barth
Journal:  Theor Appl Genet       Date:  2008-04-30       Impact factor: 5.699

Review 10.  Coping mechanisms for crop plants in drought-prone environments.

Authors:  Peter M Neumann
Journal:  Ann Bot       Date:  2008-02-05       Impact factor: 4.357

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