Domesticated pennycress (Thlaspi arvense L.) is an emerging winter annual oilseed crop developed from field pennycress to deliver commercial agronomic performance, low-carbon feedstock for biofuel production, and value-added animal feed. Effective breeding, seed production, and stewardship of this newly domesticated crop requires a clear understanding of its potential for pollen-mediated outcrossing. Although prior evidence suggests that field pennycress is predominantly self-pollinated, direct experimental evidence remains limited. Here, we integrate laboratory, greenhouse, and field experiments to rigorously evaluate pollen viability, pollen movement, and outcrossing potential in domesticated pennycress. Pollen viability declined rapidly with increasing temperature and environmental exposure: pollen stored at 4°C reached 50% viability after 12 h, whereas pollen held at 37°C reached the same threshold after 2.5 h. Exposure to outdoor conditions with natural light and wind reduced viability to 50% within 1.6 h. Under greenhouse conditions, no cross-pollination was detected among plants flowering in close proximity within an agitated pollen-containment covering. Detectable cross-pollination occurred primarily when emasculated flowers were directly exposed to donor pollen, demonstrating that intact flowers strongly favor self-fertilization. Field trials using a trackable knockout gene edit provided no detectable evidence of pollen movement under field conditions across two locations, even at short distances from donor plots. Together, these results provide strong, multi-environment evidence that domesticated pennycress is predominantly self-pollinated and that outcrossing is rare under practical greenhouse and field production conditions.
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.