Genetic engineering of the myostatin gene in dairy cattle represents a promising approach for sex-specific beef performance enhancement. A possible genetic strategy to enhance beef traits in male dairy calves uses the introduction of a myostatin knockout on the Y chromosome. Using CRISPR/Cas9, this sex-specific edit would produce muscular male offspring for beef, while preserving milk production traits in females. The approach combines advances in gene editing with selective trait targeting to improve herd efficiency. Benefits include increased economic value of male calves and sustainable breeding, though challenges such as calving risks must be addressed. Advances in sexed semen and embryo transfer in cattle, including the selection of offspring from the desired sex, can be one of the determining factors in increasing genetic progress and a farmer´s profitability in either beef or dairy cattle. The use of sex-sorted semen has been applied worldwide, combined with AI upon oestrus detection in heifers. Smart technologies are revolutionising cattle fertility management by improving reproductive efficiency, reducing costs, and enhancing genetic progress. Wearable sensors, including activity monitors, calving detectors, automated body condition score analysers, and rumination trackers, enable real-time oestrus detection and early identification of fertility issues. Machine learning algorithms analyse behavioural and physiological data to predict optimal breeding times, increasing conception rates. Ultrasonography is used as a tool for the evaluation of carcass traits in vivo . As the demand for high-quality beef is increasing in developed societies, most of the quality markets index the price paid for the carcass to quality grades, with the intramuscular fat level being one of the most important traits. The use of ultrasonography as a tool for assessing carcass quality in live cattle is relatively low cost and non-invasive technique. It allows real-time evaluation of key parameters such as subcutaneous fat, intramuscular fat, and the area of essential muscles, such as the Longissimus dorsi , without the need for slaughter.
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.