G Mestralle. Software development to estimate herd profitability according to nutrition parameters.. 2023. agriXiv.2023.00167
Software development to estimate herd profitability according to nutrition parameters.
DOI: 10.31220/agriRxiv.2023.00167
-
Abstract: Abstract Background: Improving feed efficiency and limiting nutrition costs together with environmental impacts are key issues for beef producers. In addition to studies to assess the nutritional value and environmental impact of different rations, it would be useful to develop tools to better assess their profitability. Methods: The software developed here enables to evaluate the expected margin for a defined herd according to breeding duration, nutrition components, nutrition costs, carcass weight and expected selling price of the carcass. Results: The software allows the user to better estimate which nutrition strategy is associated with the best profitability for the herd sale. Conclusion: This software provides a principle of assisted herd nutrition costs and sale margin estimation. The software development may facilitate the design of personalized protocols for herd breeding optimization and costs reduction.
Key words: herd; nutrition; profitability; costs; software; estimatSubmit time: 1 January 2023
Copyright: The copyright holder for this preprint is the author/funder, who has granted agriXiv a license to display the preprint in perpetuity. -
图表
-
Victor Bloch, Taru Palosuo, Hanna Huitu, Ari Ronkainen, Juha Backman, Katariina Pussi, Antti Suokannas, Matti Pastel. Towards a digital twin for optimal field management.. 2022. doi: 10.31220/agriRxiv.2022.00165
Anna H. Stygar, Lilli Frondelius, Greta Veronica Berteselli, Yamenah Gómez, Elisabetta Canali, Jarkko K. Niemi, Pol Llonch, Matti Pastel. Measuring dairy cow welfare with real-time sensor-based data and farm records: a concept study.. 2023. doi: 10.31220/agriRxiv.2023.00185
A. Badal, Ashmita Bhatta, Ankit Ojh. Profitability and resource use efficiency of capsicum production in Chitwan district, Nepal.. 2023. doi: 10.31220/agriRxiv.2023.00186
Khushi Goda, Fikret Işi. AgMate: An Optimal Mating Software for Monoecious Species. A LongTerm Breeding Example for Pinus taeda L.. 2022. doi: 10.31220/agriRxiv.2022.00145
Nathan Morrow, James S. Borrell, Nancy B. Mock, Lucie Büchi, Andrea Gatto, Ermias Luleka. Green assets; quantifying contributions of autochthonous tree-like perennials to food and nutrition security resilience in southern Ethiopian Highlands.. 2021. doi: 10.31220/agriRxiv.2021.00081
Nuriel Shalom Mor, Tigabo Asras, Eli Gal, Tesfahon Demasia, Ezra Tarab, Nathaniel Ezekiel, Osher Nikapros, Oshri Semimufar, Eva Gladky, Maria Karpenko, Daniel Sason, Д. Н. Маслов, Omri Mo. Wine quality and type prediction from physicochemical properties using neural networks for machine learning: a free software for winemakers and customers.. 2022. doi: 10.31220/agriRxiv.2022.00125
Solomon Teshome, Arega Amide, Miresa Mitik. Determining the profitability of different NPSB and nitrogen fertilizer rates on yield and yield attributes of Irish potato ( Solanum tuberosum L.) at southern Oromia, Ethiopia.. 2023. doi: 10.31220/agriRxiv.2024.00223
N.Z. Stancheva, J. Nakev, Desislava Vlahova‐Vangelova, Desislav Balev, Stefan Dragoe. Impact of Siberian larch dihydroquercetin or dry distilled rose petals as feed supplements on 8 lamb's growth performance, carcass characteristics and blood count parameters.. 2020. doi: 10.31220/agriRxiv.2020.00006
M. Shanmugam, M. Niranjan, S.V. Rama Ra. Effect of dietary L-carnitine supplementation on semen quality parameters in Dahlem Red chicken.. 2022. doi: 10.31220/agriRxiv.2022.00129
Robert L. Crabtree, Dean Koch, Subhash R. Lel. Misleading overestimation bias in methods to estimate wolf abundance that use spatial models.. 2023. doi: 10.31220/agriRxiv.2023.00215
-
ID Submit time Number Download -
Public Anonymous To author only
Get Citation
Article Metrics
- Read: 45
- Download: 0
- Comment: 0



