Wang Zhicong, Liu Kexiong, Song Yuqing, Li Qin, An Lei, Liu Yan, Tian Jianhui, Bai Jiahua, Wang Shumin
Frontiers Science Center for Molecular Design Breeding (MOE), Key Laboratory of Animal Genetics, Breeding and Reproduction of the Ministry of Agriculture and Rural Affairs, State Key Laboratory of Animal Biotech Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, China.
Institute of Animal Husbandry and Veterinary Medicine, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
Data Brief. 2024 Oct 16;57:111033. doi: 10.1016/j.dib.2024.111033. eCollection 2024 Dec.
Pigs are one of the largest scale livestock species globally. In large-scale pig farms, the reproductive management of gilts and sows is a critical control point to ensure production capacity and reduce costs. More precisely, the understanding the developmental status of ovarian follicles in pigs is a critical basis for developing and improving management programme of oestrus detection and artificial insemination, a core component that determines sow production performance, but this knowledge is largely lacking. Ultrasound scan is a non-invasive and convenient method to understand the follicular developmental statues. However, there is currently a lack of reliable data to establish imaging standards, making it difficult to provide the most accurate support and reference for reproductive management in pigs. This dataset contains 868 images of ovarian follicles at different developmental stages in gilts and sows in favour of the identification and understanding of sow reproductive condition. To our knowledge, it is the inaugural dataset containing ultrasound images of large animals.
猪是全球养殖规模最大的家畜物种之一。在大型养猪场中，后备母猪和经产母猪的繁殖管理是确保生产能力和降低成本的关键控制点。更确切地说，了解猪卵巢卵泡的发育状况是制定和完善发情鉴定及人工授精管理方案的关键基础，而发情鉴定及人工授精是决定母猪生产性能的核心组成部分，但目前这方面的知识还很欠缺。超声扫描是一种了解卵泡发育状况的非侵入性便捷方法。然而，目前缺乏可靠数据来建立成像标准，这使得难以给猪的繁殖管理提供最准确的支持和参考。该数据集包含868张后备母猪和经产母猪不同发育阶段卵巢卵泡的图像，有助于识别和了解母猪的繁殖状况。据我们所知，这是首个包含大型动物超声图像的数据集。
