[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"item-2053":3},{"id":4,"title":5,"url":6,"summary":7,"summary_zh":8,"content":9,"source_name":10,"source_url":6,"published_at":11,"category":12,"cover_url":9,"hotness":13,"is_selected":14,"score":15,"score_detail":16,"sources":24,"tags":26,"view_count":32,"doi":33,"paper":34,"created_at":59},2053,"Differentiating seasonal trends and environmental responses in wheat through longitudinal chlorophyll a fluorescence phenotyping","https:\u002F\u002Fdoi.org\u002F10.32615\u002Fps.2026.020","Broad adoption of chlorophyll fluorescence kinetics in crop phenotyping remains limited by inconsistent parameter definitions and insufficient physiological validation. This study employed a longitudinal phenomic approach to evaluate the diagnostic value of rapid chlorophyll a fluorescence kinetics across diverse wheat genotypes throughout a spring growing season. By combining JIP-test parameters with detailed growth analysis, we built a statistical framework quantifying the predictive power and unexplained variance of biophysical parameters derived from the JIP-test, with an emphasis on performance-estimating indices. Results show that conventional parameters, such as maximum quantum yield of primary photochemistry, remain stable during vegetative growth and are highly sensitive to terminal senescence, yet display considerable noise under transient environmental fluctuations. Conversely, integrative indicators, particularly the total performance index, revealed clear seasonal trends and strong correlations with growth dynamics. By grouping JIP-test parameters functionally, this study offers a rational framework for selecting biophysical indices suited to specific breeding or research goals.","叶绿素荧光动力学在作物表型分析中的广泛应用，仍受限于参数定义不一致及生理验证不足。本研究采用纵向表型组学方法，评估了快速叶绿素a荧光动力学在春季生长季中对不同小麦基因型的诊断价值。通过将JIP-test参数与详细的生长分析相结合，我们构建了一个统计框架，用于量化JIP-test衍生的生物物理参数的预测能力及未解释方差，并重点关注性能估算指数。结果表明，常规参数如原初光化学的最大量子产率在营养生长期保持稳定，对终末衰老高度敏感，但在短暂环境波动下表现出相当大的噪声。相反，整合性指标，特别是总性能指数，显示出清晰的季节趋势，并与生长动态强相关。通过按功能对JIP-test参数进行分组，本研究为选择适合特定育种或研究目标的生物物理指标提供了一个合理的框架。",null,"Photosynthetica","2026-09-08T00:00:00Z","论文",10,false,71,{"impact":17,"substance":18,"depth":19,"authority":20,"freshness":21,"relevant":22,"comment":23},12,20,18,13,8,1,"核心期刊发表的小麦纵向荧光表型研究，提出JIP-test参数功能分组与筛选框架，方法新颖、结论可靠，对作物表型育种有参考价值，但属细分领域学术进展，公共影响有限。",[25],{"name":10,"url":6},[27,28,29,30,31],"智慧农业","小麦","表型组学","叶绿素荧光","育种筛选",0,"10.32615\u002Fps.2026.020",{"doi":33,"openalex_id":35,"authors":36,"venue":10,"cited_by_count":32,"oa_url":51,"card":52,"direction":56,"ingested_from":58},"W7211958130",[37,39,41,43,45,47,49],{"name":38,"orcid":9},"M. ZIVCAK",{"name":40,"orcid":9},"M. KOVAR",{"name":42,"orcid":9},"A. Das",{"name":44,"orcid":9},"M. BARBORICOVA",{"name":46,"orcid":9},"D. PALOVOVA",{"name":48,"orcid":9},"P. HAUPTVOGEL",{"name":50,"orcid":9},"M. Brestiˇc","http:\u002F\u002Fps.ueb.cas.cz\u002Fdoi\u002F10.32615\u002Fps.2026.020.pdf",{"tldr":53,"method":54,"finding":55,"direction":56,"opportunity":57},"用纵向叶绿素荧光表型分析小麦不同基因型，区分季节性趋势与环境响应。","纵向叶绿素a荧光动力学JIP-test结合生长分析，构建统计框架。","总性能指数等整合指标能揭示季节趋势并与生长动态强相关，常规参数噪声大。","农业遥感与作物表型","可开发基于整合荧光指数的田间高通量表型工具，用于育种筛选和动态环境响应监测。","openalex","2026-09-10T23:30:20.889271Z"]