Fast-forward breeding for a food-secure world

Rajeev K Varshney, Abhishek Bohra, Manish Roorkiwal, Rutwik Barmukh, Wallace A Cowling, Annapurna Chitikineni, Hon-Ming Lam, Lee T Hickey, Janine S Croser, Philipp E Bayer, David Edwards, José Crossa, Wolfram Weckwerth, Harvey Millar, Arvind Kumar, Michael W Bevan, Kadambot H M Siddique

Research output: Contribution to journalReview articlepeer-review

70 Citations (Scopus)

Abstract

Crop production systems need to expand their outputs sustainably to feed a burgeoning human population. Advances in genome sequencing technologies combined with efficient trait mapping procedures accelerate the availability of beneficial alleles for breeding and research. Enhanced interoperability between different omics and phenotyping platforms, leveraged by evolving machine learning tools, will help provide mechanistic explanations for complex plant traits. Targeted and rapid assembly of beneficial alleles using optimized breeding strategies and precise genome editing techniques could deliver ideal crops for the future. Realizing desired productivity gains in the field is imperative for securing an adequate future food supply for 10 billion people.

Original languageEnglish
Pages (from-to)1124-1136
Number of pages13
JournalTrends in Genetics
Volume37
Issue number12
DOIs
Publication statusPublished - Dec 2021

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