三合一的方法:由公民科学支持的分散的农场测试的灵活框架. 一个回顾性的回顾
Kauê de Sousa1,2, Jacob van Etten1, Rhys Manners3
1Digital Inclusion, Bioversity International, Montpellier, France.
概括
技术选项的三元比较 (tricot) 方法有效地收集农民的偏好和作物性能数据. 这种公民科学方法为小型农业和植物育种提供了可扩展,具有成本效益的解决方案.
科学领域:
- 农业科学 农业科学
- 植物育种 植物育种
- 公民科学 公民科学
背景情况:
- 将作物品种与用户需求和环境相匹配对于小农农业至关重要.
- 现有的参与式方法在可扩展性,数据可靠性和捕捉异质性方面扎.
研究的目的:
- 引入和审查技术选择 (tricot) 方法的三元比较.
- 为了证明tricot在植物育种和决策数据生成方面的有效性.
主要方法:
- Tricot采用一个分散的,众包的公民科学模型来收集数据.
- 该方法涉及农民主导的评估和大型农场测试网络.
主要成果:
- 在大样本中,Tricot综合数据显示出足够的有效性和可靠性.
- 这种方法比传统的参与方法更具成本效益和可扩展性.
- 在不同的气候条件和用户偏好下,Tricot成功地确定了作物品种的表现.
结论:
- 通过结合社会经济异质性和消费者偏好,Tricot促进了植物育种.
- 该方法增强了作物改进的决策,以增加小农系统的采用.
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