Davey L. Jones, Emily C. Cooledge, David R. Chadwick
{"title":"一年够吗?农业研究中田间试验时间问题述评","authors":"Davey L. Jones, Emily C. Cooledge, David R. Chadwick","doi":"10.1016/j.agsy.2025.104393","DOIUrl":null,"url":null,"abstract":"<div><h3>Context</h3><div>While multi-year field experiments remain a cornerstone of agricultural research, their requirement warrants critical examination.</div></div><div><h3>Objective</h3><div>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.</div></div><div><h3>Results and conclusions</h3><div>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.</div></div><div><h3>Significance</h3><div>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.</div></div>","PeriodicalId":7730,"journal":{"name":"Agricultural Systems","volume":"228 ","pages":"Article 104393"},"PeriodicalIF":6.1000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Is one year enough? A commentary on field experiment duration in agricultural research\",\"authors\":\"Davey L. Jones, Emily C. Cooledge, David R. Chadwick\",\"doi\":\"10.1016/j.agsy.2025.104393\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Context</h3><div>While multi-year field experiments remain a cornerstone of agricultural research, their requirement warrants critical examination.</div></div><div><h3>Objective</h3><div>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.</div></div><div><h3>Results and conclusions</h3><div>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.</div></div><div><h3>Significance</h3><div>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.</div></div>\",\"PeriodicalId\":7730,\"journal\":{\"name\":\"Agricultural Systems\",\"volume\":\"228 \",\"pages\":\"Article 104393\"},\"PeriodicalIF\":6.1000,\"publicationDate\":\"2025-05-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Agricultural Systems\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0308521X25001337\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"AGRICULTURE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural Systems","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0308521X25001337","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"AGRICULTURE, MULTIDISCIPLINARY","Score":null,"Total":0}
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.
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.