Barley (Hordeum vulgare ssp. vulgare) is one of the oldest founder crops in early human civilization, and has been widely dispersed around the globe to supply human life through livestock feeding and brewing industries. It has been used in innovative research of cytogenetics, biochemistry, and genetics since the early half of the 20th century, facilitated by its mode of reproduction through self-pollination, its true diploid status which has contributed to the accumulation of a plethora of germplasm and mutant resources. Coming to the era of molecular genomics and biology, a multitude of barley genes and their involved regulatory mechanisms have been uncovered and functionally validated, providing the paradigm for equivalent studies in other Triticeae crops. This review features the advancements over the past decade in barley research, mainly regarding genomics and genomics-assisted germplasm exploration, genetic dissection of developmental and adaptation associated traits, as well as the complex dynamics of yield and quality formation. For the coming decade, the perspective of integration of these innovations in barley research and breeding is promising. Barley is proposed as a reference in Triticeae crops for new gene discovery, functional validation and molecular mechanism dissection. The application of precise genome editing as well as genomic prediction and selection, further enhanced by artificial intelligence-enforced tools and applications, is expected to boost barley improvement, in order to efficiently meet the evolving global demands for this important crop.
Details
Title
Barley2035: A decade vision on barley research and breeding
Authors/Creators
Congcong Jiang
Jinhong Kan
Guangqi Gao
Christoph Dockter - Carlsberg Laboratory
Chengdao Li - Murdoch University, Centre for Crop and Food Innovation
Wenxue Wu
Ping Yang
Nils Stein - Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK)
Publication Details
Molecular Plant, Vol.18(2), pp.195-218
Publisher
Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.