一年够吗?农业研究中田间试验时间问题述评

IF 6.1 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Davey L. Jones, Emily C. Cooledge, David R. Chadwick
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引用次数: 0

摘要

虽然多年田间试验仍然是农业研究的基石,但它们的要求值得严格审查。本观点分析了多年实验预期背后的科学原理,并提出了一个基于研究目标、机制理解和环境依赖性来确定适当实验时间的框架。结果和结论通过捕捉环境的复杂性,包括天气变化、土壤生物动态、害虫压力和跨空间尺度的影响,现场实验比实验室研究具有明显的优势。多年实验通过提高可靠性、更好地理解不同条件下的治疗效果和更大的统计能力来增强研究的稳健性。然而,重大的限制包括成本和资源需求的增加,这可能造成障碍,特别是对低收入和中等收入国家的研究人员、职业生涯早期的研究人员以及从事时间敏感农业问题的研究人员。我们认为,某些研究背景(其中一些与短期中观和孵化规模实验相同),如具有明确过程理解的机制研究、创新技术验证或时间敏感的调查(包括两熟和三熟系统),在有强有力的支持证据和全面的元数据的情况下,应该保证接受一年的实验。一个更灵活和细致的方法来确定研究时间可以更好地服务于农业科学进步,同时保持研究的严密性,特别是结合详细的机制调查和现场验证的研究,可以而且应该系统地整合到未来的荟萃分析中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Is one year enough? A commentary on field experiment duration in agricultural research

Is one year enough? A commentary on field experiment duration in agricultural research

Context

While multi-year field experiments remain a cornerstone of agricultural research, their requirement warrants critical examination.

Objective

This perspective analyses the scientific rationale behind multi-year experiment expectations and proposes a framework for determining appropriate experimental duration based on research objectives, mechanistic understanding and environmental dependencies.

Results and conclusions

Field experiments offer distinct advantages over laboratory studies by capturing environmental complexity, including weather variations, soil biological dynamics, pest pressures, and the effects across spatial scales. Multi-year experiments enhance research robustness through increased reliability, better understanding of treatment effects under varying conditions, and greater statistical power. However, significant limitations include increased costs and resource demands, which can create barriers particularly for researchers in low- and middle-income countries, early career researchers, and those working on time-sensitive agricultural issues. We argue that certain research contexts (some of which are the same for short-term mesocosm and incubation scale experiments), such as mechanistic studies with clear process understanding, innovative technology validation, or time-sensitive investigations (including double and triple cropping systems), should warrant acceptance of single-year experiments when accompanied by robust supporting evidence and comprehensive metadata.

Significance

A more flexible and nuanced approach to determining study duration could better serve agricultural science advancement while maintaining research rigour, especially for studies combining detailed mechanistic investigations with field validation, that could, and should, be systematically integrated into future meta-analyses.
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来源期刊
Agricultural Systems
Agricultural Systems 农林科学-农业综合
CiteScore
13.30
自引率
7.60%
发文量
174
审稿时长
30 days
期刊介绍: Agricultural Systems is an international journal that deals with interactions - among the components of agricultural systems, among hierarchical levels of agricultural systems, between agricultural and other land use systems, and between agricultural systems and their natural, social and economic environments. The scope includes the development and application of systems analysis methodologies in the following areas: Systems approaches in the sustainable intensification of agriculture; pathways for sustainable intensification; crop-livestock integration; farm-level resource allocation; quantification of benefits and trade-offs at farm to landscape levels; integrative, participatory and dynamic modelling approaches for qualitative and quantitative assessments of agricultural systems and decision making; The interactions between agricultural and non-agricultural landscapes; the multiple services of agricultural systems; food security and the environment; Global change and adaptation science; transformational adaptations as driven by changes in climate, policy, values and attitudes influencing the design of farming systems; Development and application of farming systems design tools and methods for impact, scenario and case study analysis; managing the complexities of dynamic agricultural systems; innovation systems and multi stakeholder arrangements that support or promote change and (or) inform policy decisions.
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