畜牧业研究中的现象学:全球范围的数字表型和其他量化技术的瓶和承诺
Vishwa Ranjan Upadhyay1, Vikram Ramesh2, Harshit Kumar2
1ICAR-National Research Centre on Camel, Bikaner, Rajasthan, India.
Omics : a journal of integrative biology
|July 16, 2024
概括
精确的现象数据对于畜牧业的改善至关重要,它可以更好地选择诸如福利和气候弹性等特征. 现型化的技术进步为动物适应和健康提供了更深入的见解.
科学领域:
- 牲畜基因组学和现象学
- 动物育种与遗传学
- 农业科学与技术 农业科学与技术
背景情况:
- 基因组学应用面临瓶,而现象学在畜牧研究中是一个重大挑战.
- 准确的表型数据对于将遗传潜力转化为牲畜的有形改善至关重要.
- 现象学涵盖了广泛的应用,包括牲畜改善,福利评估,生殖特征和环境适应.
研究的目的:
- 探索动物遗传构成和可观测的表型特征之间的关系.
- 强调精确的表型数据对选择性育种结果的重要性.
- 检查现象学在畜牧业研发中的多方面的应用.
主要方法:
- 关于畜牧现象学的现有文献的叙事综述.
- 对表型特征相关性在理解生物结果中的作用的分析.
- 讨论自动化评估和新兴技术,如数字表型和数字生物标志物.
主要成果:
- 精确的表型化提供了对牲畜表现,健康,发病率和疾病的洞察力.
- 自动化畜牧评估有助于监测动态特征和理解环境适应.
- 无人机空中系统的时间预测可以超过对牲畜健康的基因组预测.
结论:
- 现象学对于推进畜牧养殖,福利和适应战略至关重要.
- 技术进步,包括数字表型化,有望提高适应气候和生产力的牲畜的选择.
- 解决表型化挑战是释放畜牧业应用中基因组学全部潜力的关键.
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