Sep 2026· Frontiers in Plant Science· 0 citations· 50 references
Food composition and properties
Abstract
Barley is classified as malt or non-malt barley according to its end use, yet the role of starch characteristics in determining malt quality remains poorly understood. In this study, we systematically compared starch content, composition, granule structure, and thermal properties between six malt and six non-malt barley varieties. Compared with non-malt barley, malt barley exhibited significantly higher total starch (TS) content, a lower amylose/amylopectin (Am/Ap) ratio, and a larger area of large starch granules (LSGs), features that may collectively enhance the contact surface for hydrolytic enzymes during mashing. Thermal property analysis further revealed a narrower gelatinization temperature range (R) in malt barley, indicating more synchronized and potentially more efficient starch gelatinization. Based on these distinct starch traits, we employed novel CRISPR/Cas9-mediated editing of the
SBEIIb
promoter to generate novel barley accessions. The resulting promoter-editing
SBEIIb
mutants showed a significantly reduced Am/Ap ratio, closely mimicking the altered starch profile potentially relevant to malt quality related traits of elite malt barley varieties, without affecting total starch content or grain morphology. Mechanistically, this compositional shift was associated with altered starch-associated genes expression, demonstrating that targeted promoter modification is a promising strategy for malt barley improvement while avoiding the pleiotropic defects commonly caused by coding-region knockouts. These findings reveal fundamental differences in starch properties between malt and non-malt barley and provide both genetic resources and a feasible breeding strategy for developing superior malt barley cultivars.
Some claim that especially in the field of agile software development the research lags years behind of the practice. In this paper, we characterize the status and main challenges for research on agile software development, and propose a preliminary roadmap, focusing on providing more empirical research, primarily on e...
Torgeir Dingsøyr, T. Dybå, P. Abrahamsson· Agile Conference· 92 citations· ⚡7
The results indicate that software developers are a slightly happy population, but the need for limiting the unhappiness of developers remains, and 219 factors representing causes of unhappiness while developing software are identified.
D. Graziotin, Fabian Fagerholm, Xiaofeng Wang et al.· International Conference on...· 84 citations· ⚡6
This study investigates how Lean internal startup facilitates software product innovation in large companies and identifies its enablers and inhibitors, and shows the potential of the method-in-action framework to investigate the Lean startup approach in non-startup context.
Henry Edison, Nina M. Smørsgård, Xiaofeng Wang et al.· Journal of Systems and Softw...· 78 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
Agile methods continue to gain popularity. In particular, the Scrum method appears to be on the verge of becoming a de-facto standard in the industry, leading the so called Agile movement. While there are success stories and recommendations, there is little scientifically valid evidence of the challenges in the adoptio...
A. Marchenko, P. Abrahamsson· Agile Conference· 59 citations· ⚡11
A comprehensive overview of how enhanced sampling methods are reshaping the field, with a particular focus on the data-driven construction of collective variables, is provided.
Kai Zhu, Enrico Trizio, Jintu Zhang et al.· Chemical Reviews· 58 citations
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.