Molecular Marker-Assisted Breeding

Crouch, J H (2006) Molecular Marker-Assisted Breeding. In: Asia and Pacific Seed Association Annual Conference, September, 2000.

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Abstract

The potential value of genetic markers, linkage maps and indirect selection in plant breeding has been known for over 80 years. However, it was not until the development of DNA marker technology in the 1980s, that a large enough number of environmentally insensitive genetic markers could be generated to adequately tag a range of important agronomic traits. Since this time DNA marker technology has promised to dramatically enhance the efficiency of plant breeding as molecular biology has already revolutionized research in the life sciences. Yet it is only now as we enter the new millennium that advances in automated technology present the convenience, speed and level of throughput that can finally offer relevance to modern plant breeding pro grams. The theoretical basis for molecular marker-assisted breeding is well established but still rapidly evolving with a wide array of published examples covering most crops of major economic importance. Meanwhile, dramatic advances are being made in applied genomics, which will undoubtedly fuel the development of Knowledge-led breeding schemes. However, beyond these scientific developments there is a particular paucity of studies addressing the practical and economic benefits of molecular breeding.

Item Type: Conference or Workshop Item (Paper)
Divisions: UNSPECIFIED
CRP: UNSPECIFIED
Subjects: Others > Agriculture-Farming, Production, Technology, Economics
Depositing User: Mr Siva Shankar
Date Deposited: 12 Dec 2012 09:18
Last Modified: 12 Dec 2012 09:18
URI: http://oar.icrisat.org/id/eprint/6299
Acknowledgement: The author gratefully acknowledges the assistance of David Hoisington, Jean-Marcel Ribaut and Michael Morris (CIMMYT), Rodomiro Oltiz, Tom Hash and Hutokshi Crouch (lCRISAT), Gurdev Khush and Glenn Gregorio (IRRI), Hei Leung and Casiana Vera Cruz (IRRI-Asian Rice Biotechnology Network), Johan Peleman and Jeroen ROLlppe van der VOOlt (KeyGene), Jan Tamboer (Proteios), and, Yogesh Prasad (LabindiaiApplied Biosystems) for their contributions and discussions during the development of this paper.
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