Literature DB >> 34309724

Big genomic data analysis leads to more accurate trait prediction in hybrid breeding for yield enhancement in crop plants.

Roshan Kumar Singh1, Manoj Prasad2,3.   

Abstract

KEY MESSAGE: The 'big data' in plant breeding refers to the cumulative genotyping and phenotyping information obtained from either a series of experimental sets or generated from a large number of accessions. Recent study supports the employment of big data for enhancing the accuracy of complex trait prediction during hybrid breeding of crop plants.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Genomic prediction; Hybrid breeding; Yield

Mesh:

Year:  2021        PMID: 34309724     DOI: 10.1007/s00299-021-02761-x

Source DB:  PubMed          Journal:  Plant Cell Rep        ISSN: 0721-7714            Impact factor:   4.570


  1 in total

1.  Overcoming the quantum limit of optical amplification in monolithic waveguides.

Authors:  Zhichao Ye; Ping Zhao; Krishna Twayana; Magnus Karlsson; Victor Torres-Company; Peter A Andrekson
Journal:  Sci Adv       Date:  2021-09-15       Impact factor: 14.136

  1 in total

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