Breeding Technologies to Increase Crop Production in a Changing World

To feed the several billion people living on this planet, the production of high-quality food must increase with reduced inputs, but this accomplishment will be particularly challenging in the face of global environmental change. Plant breeders need to focus on traits with the greatest potential to increase yield. Hence, new technologies must be developed to accelerate breeding through improving genotyping and phenotyping methods and by increasing the available genetic diversity in breeding germplasm. The most gain will come from delivering these technologies in developing countries, but the technologies will have to be economically accessible and readily disseminated. Crop improvement through breeding brings immense value relative to investment and offers an effective approach to improving food security.

[1]  S. Robinson,et al.  Food Security: The Challenge of Feeding 9 Billion People , 2010, Science.

[2]  Peter Langridge,et al.  Phenotyping approaches for physiological breeding and gene discovery in wheat , 2009 .

[3]  Julian M. Alston,et al.  Agricultural Research, Productivity, and Food Prices in the Long Run , 2009, Science.

[4]  Ghasem Hosseini Salekdeh,et al.  Conceptual framework for drought phenotyping during molecular breeding. , 2009, Trends in plant science.

[5]  M. McMullen,et al.  Genetic Properties of the Maize Nested Association Mapping Population , 2009, Science.

[6]  E. Finkel Imaging. With 'phenomics,' plant scientists hope to shift breeding into overdrive. , 2009, Science.

[7]  M. Tester,et al.  Shoot Na + Exclusion and Increased Salinity Tolerance Engineered by Cell Type–specific Alteration of Na + Transport in Arabidopsis Enhancer Trap Lines Driving Cell Type–specific Gene Expression in the Stelar Cells of the Mature Root , 2022 .

[8]  Xiaojin Wu Prospects of developing hybrid rice with super high yield. , 2009 .

[9]  Rita H. Mumm,et al.  Molecular Plant Breeding as the Foundation for 21st Century Crop Improvement1 , 2008, Plant Physiology.

[10]  M. Tester,et al.  Mechanisms of salinity tolerance. , 2008, Annual review of plant biology.

[11]  P. Beyer,et al.  Biofortified crops to alleviate micronutrient malnutrition. , 2008, Current opinion in plant biology.

[12]  R. Bernardo,et al.  Genomewide selection in oil palm: increasing selection gain per unit time and cost with small populations , 2008, Theoretical and Applied Genetics.

[13]  P. Langridge,et al.  Cereal breeding takes a walk on the wild side. , 2008, Trends in genetics : TIG.

[14]  Scott C. Chapman,et al.  Use of crop models to understand genotype by environment interactions for drought in real-world and simulated plant breeding trials , 2008, Euphytica.

[15]  D. Mackill,et al.  Marker-assisted selection: an approach for precision plant breeding in the twenty-first century , 2008, Philosophical Transactions of the Royal Society B: Biological Sciences.

[16]  R. Reiter,et al.  Molecular Markers in a Commercial Breeding Program , 2007 .

[17]  P. Langridge,et al.  Boron-Toxicity Tolerance in Barley Arising from Efflux Transporter Amplification , 2007, Science.

[18]  R. Canales,et al.  Plant nuclear factor Y (NF-Y) B subunits confer drought tolerance and lead to improved corn yields on water-limited acres , 2007, Proceedings of the National Academy of Sciences.

[19]  C Neal Stewart,et al.  Methods to produce marker‐free transgenic plants , 2007, Biotechnology journal.

[20]  G. Graef,et al.  Improving Lives: 50 Years of Crop Breeding, Genetics, and Cytology (C‐1) , 2006 .

[21]  Alain Charcosset,et al.  Usefulness of gene information in marker-assisted recurrent selection: A simulation appraisal , 2006 .

[22]  L. D. Vleck,et al.  Heterosis for Grain Yield and Other Agronomic Traits in Foxtail Millet , 2004 .

[23]  F. V. van Eeuwijk,et al.  Linkage Disequilibrium Mapping of Yield and Yield Stability in Modern Spring Barley Cultivars , 2004, Genetics.

[24]  R. Richards Increasing salinity tolerance of grain crops: Is it worthwhile? , 1992, Plant and Soil.

[25]  Julian M. Alston,et al.  A meta-analysis of rates of return to agricultural R&D : ex pede Herculem? , 2000 .