Development of evidence-based feeding strategies for lactating sows using novel and evolving feeding technologies.

使用新颖且不断发展的饲喂技术，制定哺乳母猪的循证饲喂策略。

• 批准号: 556360-2020
• 负责人: Huber, LeeAnne
• 金额: $ 5.64万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=721030
• 关键词: Development; evidence; based; feeding; strategies

Computerized feeding technologies are becoming more common and are being implemented by Canadian pork producers. These technologies reduce the labour required to deliver feed to pigs, facilitate data collection, and provide the opportunity to closely match estimated (daily) nutrient requirements by blending diets that have differing nutrient densities. For sows, this is a very powerful tool, as nutrient requirements change considerably throughout the reproductive cycle. This research program will explore the use of computerized feeding technologies to generate and apply precision feeding programs for lactating sows, explore the effects of precision feeding on sow and offspring productivity, and will develop evidence-based recommendations for feeding sows during the pre-farrowing (transition) and lactation periods. The potential benefits of using precision feeding technologies for lactating sows include optimizing sow performance (e.g., litter growth rates, lifetime productivity), reducing feed costs and environmental impact (minimize nutrient oversupply), and providing solutions to labour shortages on Canadian pig farms. The proposed research will also contribute to the training of three graduate students and three undergraduate students, who will be provided with the skills required to pursue careers in academia or the Canadian pork industry as nutritionists and/or research and development personnel.

电脑化饲喂技术正变得越来越普遍，加拿大猪肉生产商正在实施这一技术。这些技术减少了向猪提供饲料所需的劳动力，促进了数据收集，并通过混合具有不同营养密度的饲料提供了密切匹配估计(每日)营养需求的机会。对于母猪来说，这是一个非常强大的工具，因为营养需求在整个繁殖周期中变化很大。这项研究计划将探索使用计算机饲养技术来生成和应用哺乳母猪的精准饲养方案，探索精准饲养对母猪和后代生产力的影响，并将为分娩前(过渡)和哺乳期的母猪饲养提供循证建议。对哺乳母猪使用精准饲养技术的潜在好处包括优化母猪生产性能(例如，窝产仔增长率、终生生产力)、降低饲料成本和对环境的影响(最大限度地减少营养过剩)，以及为加拿大养猪场的劳动力短缺提供解决方案。拟议的研究还将有助于培训三名研究生和三名本科生，为他们提供在学术界或加拿大猪肉行业从事营养师和/或研究和开发人员所需的技能。