Innovative Agricultural Technologies for Sustainable High-quality and Efficient Production of Wheat and Barley
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Crop Breeding and Genetics".
Deadline for manuscript submissions: closed (30 June 2021) | Viewed by 3502
Special Issue Editor
Special Issue Information
Dear Colleagues,
Crop species belonging to Triticeae, such as barley and wheat, are cultivated in a globally spread area and known as one of the broadest adaptation crop species. Barley and wheat have evolved to optimize each of the environmental abiotic and biotic conditions by adapting to novel cultivation. Environmental conditions are forecasted to be highly influenced by the global climate change, and the barley and wheat cultivation area could be changed, with diverse profiles of climatic conditions. To achieve sustainable productivity of these species for the next century, uncovering the impacted trait mechanisms due to climate change along with all the cultivation areas and exploring the natural variations in order to breed varieties using “optimum” loci/alleles to overcome each of the upcoming environmental condition are pivotal. Development of technical innovations, such as low-cost sequencing and genome editing technologies, has an indispensable role in uncovering the “optimal” traits and supporting breeding-related research to develop new varieties to realize sustainable agricultural productivity.
This Special Issue will focus on highlighting the exploring knowledge required to develop “optimal” local varieties for all barley and wheat cultivation areas. Topics can include genetic diversity, agronomic trait diversification, genomics, and breeding-related technologies. We welcome reviews or perspectives related to the traits of optimizing for local agriculture and the approaches required to develop “optimal” local varieties.
Dr. Daisuke Saisho
Guest Editor
Manuscript Submission Information
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Keywords
- barley
- wheat
- genetic diversity
- local adaptation
- breeding using optimal loci/allele
- genomics
- NGS
- genome editing
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