理解性别特征偏好:对客户响应育种计划的影响

C. McDougall, J. Kariuki, B. M. Lenjiso, P. Marimo, M. Mehar, S. Murphy, B. Teeken, M. Akester, J. Benzie, A. Galiè, P. Kulakow, W. Mekkawy, L. Nkengla-Asi, J. Ojango, R. Tumuhimbise, B. Uwimana, A. Orr
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引用次数: 6

摘要

响应客户需求是公共部门农业、水产养殖和畜牧业育种规划取得成效的基础。然而,对于这意味着什么,特别是在方案如何促进性别平等方面,仍然相当缺乏明确的认识。这项研究有助于解决这一需求。它通过分享来自亚洲和非洲九个国家的八个性别特征偏好案例的综合经验得出的更高层次的见解来实现这一目标。这些病例涉及农作物、鱼类和牲畜。本研究探讨了可以产生的性别特征偏好信息的本质,如果存在系统的性别偏好差异,以及如何理解这些差异,以及寻求更多性别敏感的育种计划的含义。主要发现包括,虽然并非所有数据都能立即被项目使用,但通过混合方法产生的信息,交叉性别偏好评估有效地加深和拓宽了项目的知识。这项研究证明了女性和男性在性格偏好上的差异。它还揭示了这些差异比以前认为的要复杂得多。在这样做的过程中,它挑战了二元或同质的偏好模型,相反,它表明偏好可能是重叠和微妙的。该研究采用了一种新的“性别特征偏好的三种模型”框架和子框架,并发现这些框架很有用,因为它们挑战了误解,并使必要的分析细微差别能够为性别敏感的育种计划提供信息。最后,该研究强调了其影响,并呼吁采取行动促进性别平等育种,为公共育种项目、团队和资助机构提出了前进的道路。这包括对跨学科能力的投资,以及在面向可持续发展目标的同时进行权衡的考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Understanding gendered trait preferences: Implications for client-responsive breeding programs
Client-responsiveness is a foundation for effectiveness of public sector breeding programs in agriculture, aquaculture and livestock. However, there remains a considerable lack of clarity about what this means, specifically in terms of how programs can be gender-responsive. This study contributes to addressing that need. It does so through sharing higher-level insights emerging from the combined experiences of eight gendered trait preference cases from across nine countries in Asia and Africa. The cases spanned crops, fish and livestock. This study inquires into the nature of gendered trait preference information that can be generated, if there are systematic gendered preference differences and how to understand these, and implications for breeding programs seeking to be more gender-responsive. Key findings include that while not all data are immediately usable by programs, the information that is generated through mixed method, intersectional gender preference assessments usefully deepens and widens programs’ knowledge. The study evidences differences in trait preferences between women and men. It also reveals that these differences are more complex than previously thought. In doing so, it challenges binary or homogenous models of preferences, suggesting instead that preferences are likely to be overlapping and nuanced. The study applies a novel ‘Three models of gendered trait preferences’ framework and sub-framework and finds these useful in that they challenge misconceptions and enable a needed analytical nuance to inform gender-responsive breeding programs. Finally, the study highlights implications and offers a call to action for gender-responsive breeding, proposing ways forward for public breeding programs, teams and funding agencies. These include investments in interdisciplinary capabilities and considerations for navigating trade-offs while orienting to sustainable development goals.
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