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Genetic Improvement of Sorghum for Biomass Traits Using Genomics Approaches

In: Advances in Biofuels and Bioenergy

Author

Listed:
  • Bushra Sadia
  • Faisal Saeed Awan
  • Fozia Saleem
  • Hafeez Ahmad Sadaqat
  • Sarmad Frogh Arshad
  • Haseeb Shaukat

Abstract

Nonrenewable energy resources deplete with the passage of time due to rapid increase in industrialization and population. Hence, countries worldwide are investing dearly in substitute energy resources like biofuel from miscellaneous set of feedstocks. Among the energy crops, sorghum serves as a model crop due to its drought tolerance, small genome size (730 Mb), high biomass, dry matter contents, quick growth, wide adaptability to diverse climatic and soil conditions and C4 photosynthesis. Sweet sorghum with high sugar content in stalk is an efficient feedstock for advanced biofuels and other bio-based products from sugars. However, high biomass sorghum has the utility as a feedstock for cellulosic biofuels. The enhanced yield of monomeric carbohydrates is a key to cheap and efficient biofuel production. The efficiency of lignocellulosic biofuels is compromised by recalcitrance to cell wall digestion, a trait that cannot be efficiently improved by traditional breeding. Therefore, scientists are looking for solutions to such problems in biomass crop genomes. Sorghum genome has been completely sequenced and hence this crop qualifies for functional genomics analysis by fast forward genetic approaches. This chapter documents the latest efforts on advancement of sorghum for biomass potential at morphological and molecular level by exploiting genomics approaches.

Suggested Citation

  • Bushra Sadia & Faisal Saeed Awan & Fozia Saleem & Hafeez Ahmad Sadaqat & Sarmad Frogh Arshad & Haseeb Shaukat, 2018. "Genetic Improvement of Sorghum for Biomass Traits Using Genomics Approaches," Chapters, in: Madhugiri Nageswara-Rao & Jaya Soneji (ed.), Advances in Biofuels and Bioenergy, IntechOpen.
  • Handle: RePEc:ito:pchaps:128104
    DOI: 10.5772/intechopen.73010
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    More about this item

    Keywords

    biofuel; sorghum; association mapping; lignocellulosic feedstock; genomics; microRNAs; marker-assisted selection;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q40 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - General

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