Fast-forward breeding for a food-secure world

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.

Bibliographic Details

Main Authors:	Varshney, R.K., Abhishek Bohra, Roorkiwal, M., Barmukh, R., Cowling, W.A., Annapurna Chitikineni, Hon-Ming Lam, Hickey, L.T., Croser, J., Bayer, P.E., Edwards, D., Crossa, J., Weckwerth, W., Millar, A.H., Arvind Kumar, Bevan, M., Siddique, K.H.M.
Format:	Article biblioteca
Language:	English
Published:	Elsevier 2021
Subjects:	AGRICULTURAL SCIENCES AND BIOTECHNOLOGY, CROP IMPROVEMENT, FOOD SECURITY, HAPLOTYPES, GENE EDITING, GENETIC GAIN, BREEDING,
Online Access:	https://hdl.handle.net/10883/21699
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