Genomic resources in plant breeding for sustainable agriculture

Thudi, Mahendar and Palakurthi, Ramesh and Schnable, James C. and Chitikineni, Annapurna and Dreisigacker, Susanne and Mace, Emma and Srivastava, Rakesh K. and Satyavathi, C. Tara and Odeny, Damaris and Tiwari, Vijay K. and Lam, Hon-Ming and Hong, Yan Bin and Singh, Vikas K. and Li, Guowei and Xu, Yunbi and Chen, Xiaoping and Kaila, Sanjay and Nguyen, Henry and Sivasankar, Sobhana and Jackson, Scott A. and Close, Timothy J. and Shubo, Wan and Varshney, Rajeev K. (2020) Genomic resources in plant breeding for sustainable agriculture. Journal of Plant Physiology, 257:153351. pp. 1-18. ISSN 0176-1617

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Abstract

Climate change during the last 40 years has had a serious impact on agriculture and threatens global food and nutritional security. From over half a million plant species, cereals and legumes are the most important for food and nutritional security. Although systematic plant breeding has a relatively short history, conventional breeding coupled with advances in technology and crop management strategies has increased crop yields by 56 % globally between 1965−85, referred to as the Green Revolution. Nevertheless, increased demand for food, feed, fiber, and fuel necessitates the need to break existing yield barriers in many crop plants. In the first decade of the 21st century we witnessed rapid discovery, transformative technological development and declining costs of genomics technologies. In the second decade, the field turned towards making sense of the vast amount of genomic information and subsequently moved towards accurately predicting gene-to-phenotype associations and tailoring plants for climate resilience and global food security. In this review we focus on genomic resources, genome and germplasm sequencing, sequencing-based trait mapping, and genomics-assisted breeding approaches aimed at developing biotic stress resistant, abiotic stress tolerant and high nutrition varieties in six major cereals (rice, maize, wheat, barley, sorghum and pearl millet), and six major legumes (soybean, groundnut, cowpea, common bean, chickpea and pigeonpea). We further provide a perspective and way forward to use genomic breeding approaches including marker-assisted selection, marker-assisted backcrossing, haplotype based breeding and genomic prediction approaches coupled with machine learning and artificial intelligence, to speed breeding approaches. The overall goal is to accelerate genetic gains and deliver climate resilient and high nutrition crop varieties for sustainable agriculture.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Crop Health (24 Mar 2014 -)
Faculty/School / Institute/Centre: Current - Institute for Life Sciences and the Environment - Centre for Crop Health (24 Mar 2014 -)
Date Deposited: 19 Jan 2022 01:57
Last Modified: 21 Jan 2022 01:18
Uncontrolled Keywords: Genomics; Sequencing; Genotyping platforms; Sequence-based trait mapping; Genomics-assisted breeding; Genomic breeding; Genomic selection
Fields of Research (2008): 07 Agricultural and Veterinary Sciences > 0703 Crop and Pasture Production > 070305 Crop and Pasture Improvement (Selection and Breeding)
Fields of Research (2020): 30 AGRICULTURAL, VETERINARY AND FOOD SCIENCES > 3004 Crop and pasture production > 300406 Crop and pasture improvement (incl. selection and breeding)
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
Socio-Economic Objectives (2020): 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280101 Expanding knowledge in the agricultural, food and veterinary sciences
Identification Number or DOI: https://doi.org/10.1016/j.jplph.2020.153351
URI: http://eprints.usq.edu.au/id/eprint/45536

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