The maize is one of the most important agricultural crops in the world with highest production and productivity among major cereal crops. With the ever burgeoning population and requirements, demand for maize production and productivity has increased. Presently, maize is considered as crop of immense significance because of its increased use in biofuel production. The increased demand for maize can be met with applications of novel tools and techniques. One of the fast emerging technologies is the application of genomic approaches to increase the selection efficiency, accelerate the genetic gain, and reduce the selection cycles. Whole-genome sequencing, and (re)sequencing, and genome-wide association analyses have resulted in a massive increase in genomic resources. Application of bioinformatic and advanced statistical tools and techniques has focused on whole-genome based selection rather than one or few traits. The whole-genome sequencing, functional genomics, gene-cloning, and availability of large databases which houses genomic resources have expanded the scope and opened up new avenues for maize improvement.

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Advances in Maize Genomics

  • K. R. Yathish,
  • Yalavarthi Nagaraju,
  • Chikkappa Gangadhar Karjagi,
  • Vasanthrao Thalari,
  • M. G. Mallikarjuna,
  • Abhijit Kumar Das,
  • Aditi Ghosh,
  • Shraddha Srivastava

摘要

The maize is one of the most important agricultural crops in the world with highest production and productivity among major cereal crops. With the ever burgeoning population and requirements, demand for maize production and productivity has increased. Presently, maize is considered as crop of immense significance because of its increased use in biofuel production. The increased demand for maize can be met with applications of novel tools and techniques. One of the fast emerging technologies is the application of genomic approaches to increase the selection efficiency, accelerate the genetic gain, and reduce the selection cycles. Whole-genome sequencing, and (re)sequencing, and genome-wide association analyses have resulted in a massive increase in genomic resources. Application of bioinformatic and advanced statistical tools and techniques has focused on whole-genome based selection rather than one or few traits. The whole-genome sequencing, functional genomics, gene-cloning, and availability of large databases which houses genomic resources have expanded the scope and opened up new avenues for maize improvement.