Sep 2026· Open Agriculture Journal· 0 citations· 89 references
Wheat and Barley Genetics and Pathology
Abstract
Wheat (
Triticum aestivum
L.) is one of the most important cereal crops in the world. It supplies nearly 18–20% of global dietary calories and protein, sustaining the food security of over 2.5 billion people. Global food demand is projected to increase by 35–56% by 2050, placing additional pressure on wheat production and improvement programmes and making genetic improvement an urgent priority. This review synthesizes current advances in wheat genetics, genomics, and breeding. It discusses the origin and domestication of wheat, as well as the structure of the allohexaploid genome (AABBDD; 2
n
= 6
x
= 42). Major genes and Quantitative Trait Loci (QTLs) governing yield, disease resistance, grain quality, and abiotic stress tolerance are critically reviewed. Key breeding approaches are evaluated, including doubled haploid technology, Marker-Assisted Selection (MAS), Genomic Selection (GS), speed breeding, and CRISPR/Cas9 genome editing. Stability analysis methods, particularly the Additive Main Effects and Multiplicative Interaction (AMMI) model and the Eberhart–Russell regression, are discussed in the context of multi-environment trial evaluation. The integration of Genome-Wide Association Studies (GWAS), pangenomics, multi-omics, and high-throughput phenotyping for precision wheat improvement is also covered. This review focuses primarily on India, with special attention to the North Eastern Plains Zone (NEPZ) and the eastern Indo-Gangetic Plains. In this region, terminal heat stress and monsoon variability pose major production challenges. Key challenges and strategic recommendations for developing climate-resilient, high-yielding, and nutritionally superior wheat varieties are outlined.
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 experienced agile teams and organizations, connecting better to existing streams of research in more established fields, giving more attention to management-oriented approaches, and finally give more emphasis to the core ideas in agile software development in order to increase our understanding. We hope that this preliminary roadmap serves as a starting point for creating a common research agenda and enables the generation of fruitful discussions and research results from the field.
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 adoption of Agile methods in general, and Scrum in particular. Little, if anything, is empirically known about the application and adoption of Scrum in a multi-team and multi-project situation. The authors carried out an ethnographically informed longitudinal case study in industrial settings and closely followed how the Scrum method was adopted in a 20-person department, working in a simultaneous multi-project R&D environment. Altogether 10 challenges pertinent to the case of multi-team multi-project Scrum adoption were identified in the study. The authors contend that these results carry great relevance for other industrial teams. Future research avenues arising from the study are indicated.
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
AI is making software generation faster, but speed does not remove the need for expertise. As more work is delegated to AI, tacit knowledge may become one of the most important human advantages in software engineering. The post Beyond Prompt Engineering: The Role of Tacit Knowledge in Software Engineering appeared first on GPT-Lab.
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