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Exploitation of Natural Biodiversity Through Genomics

  • Chapter
Genomics-Assisted Crop Improvement

Abstract

The genetic improvement of crop plants is the most viable approach to meeting the increasing demand for agricultural output. This goal may be achieved by using the wealth of genetic variation provided by nature. Until now, scientists have been unable to exploit the genetic potential warehoused in plant germplasm repositories for quantitative traits associated with agricultural yield. Here we review the development and application of the advanced-backcross and introgression-line breeding populations for the identification of wild species derived chromosome segments that improve agricultural performance of elite germplasm. The results of studies in a wide range of crops indicate that, unlike their domestic relatives, which are often depleted in genetic variation, wild populations of plants carry a tremendous wealth of potentially valuable alleles, many of which would not have been predicted from the phenotype of the wild plants. The results from these studies may help open up new sources of genetic variation for plant breeding and biotechnology and shed light on the nature of quantitative trait variation.

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Author information

Authors and Affiliations

  1. CNR-IGV, Institute of Plant Genetics, Portici, Via Università 133, 80055 - Portici (NA), Italy

    Silvana Grandillo

  2. Department of Plant Breeding and Department of Plant Biology, Cornell University, Ithaca, NY 14853, USA

    Steve D. Tanksley

  3. Faculty of Agriculture, The Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel

    Dani Zamir

Authors
  1. Silvana Grandillo
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  2. Steve D. Tanksley
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  3. Dani Zamir
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Editor information

Editors and Affiliations

  1. ICRISAT, Patancheru, India

    Rajeev K. Varshney

  2. University of Bologna, Italy

    Roberto Tuberosa

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© 2007 Springer

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Grandillo, S., Tanksley, S.D., Zamir, D. (2007). Exploitation of Natural Biodiversity Through Genomics. In: Varshney, R.K., Tuberosa, R. (eds) Genomics-Assisted Crop Improvement. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6295-7_6

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