Oct 2026· Horticulturae· 0 citations· 134 references
Plant Reproductive Biology
Abstract
The generation of homozygous lines represents a critical step in vegetable crop breeding and germplasm improvement. Conventional self-pollination and purification methods are time-consuming and prone to severe inbreeding depression. In contrast, haploid breeding technology enables the rapid acquisition of completely homozygous doubled haploid (DH) lines within one to two generations via chromosome doubling, serving as a revolutionary pathway to substantially shorten breeding cycles and enhance breeding efficiency. In this review, the major evolutionary milestones of plant haploid induction technologies are systematically summarized, tracing their development from spontaneous occurrence to in vitro regulation and modern in vivo precision genetic manipulation. The primary technological pathways for constructing in vivo haploid inducer lines via gynogenesis, androgenesis, distant hybridization, and the recent targeted knockout or modification of key reproductive genes (such as CENH3, MTL/PLA1/NLD and DMP) using CRISPR/Cas9 and other gene-editing tools are emphatically discussed. Furthermore, the advantages, disadvantages, and application scenarios of five major haploid identification technologies are explored: morphological evaluation, stomatal guard cell observation, cytogenetic analysis (chromosome squashing and flow cytometry), molecular markers, and genetic markers (including classical anthocyanin systems, high-oil systems, and novel fluorescent protein reporter systems). In addition, the latest research progress in haploid induction across major vegetable crops belonging to Brassicaceae, Solanaceae, and Cucurbitaceae is detailed, alongside an analysis of current bottlenecks such as strong genotypic dependency and low embryo-to-plantlet conversion rates. Finally, future developmental trends focusing on the deep integration of universal gene-editing induction technologies with high-throughput fluorescent protein sorting systems are outlined. This review aims to provide a systematic theoretical framework and technical reference for establishing large-scale, highly efficient integrated haploid breeding systems in vegetable crops.
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
Zero-knowledge proofs can verify computing results without rerunning workloads or exposing sensitive data. Magnetar helps bring them into the mainstream with support for standard programming languages, major speed gains, and quantum-resistant security. The post Proof-based general-purpose computing with Magnetar appeared first on Microsoft Research.