冻害指数:生长度天数的反足指数。

IF 7.6 1区 农林科学 Q1 AGRONOMY Plant Phenomics Pub Date : 2023-10-04 eCollection Date: 2023-01-01 DOI:10.34133/plantphenomics.0104
Flavian Tschurr, Norbert Kirchgessner, Andreas Hund, Lukas Kronenberg, Jonas Anderegg, Achim Walter, Lukas Roth
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引用次数: 1

摘要

高温和霜冻等非生物胁迫限制了植物的生长和生产力。基于图像的田间表型分析方法不仅可以量化植物生长,还可以量化植物衰老。冬季作物表现出由寒冷期引起的衰老,表现为叶面积的减少。我们根据现场的时间分辨高分辨率图像,通过监测冠层覆盖的变化,准确地量化了这种下降。对36个冬小麦基因型进行了多年测定。提出了一个称为“霜冻损害指数”(FDI)的概念,该概念与生长度天数类似,以累积的方式总结了霜冻事件。测得的基因型对FDI的敏感性与育种中常用的评估抗寒性的视觉焦度相关。外国直接投资的概念可以适应干旱或热胁迫等其他因素。虽然在植物生长建模中通常不考虑,但整合这种退化过程可能是改善未来气候情景下植物性能预测的关键。
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Frost Damage Index: The Antipode of Growing Degree Days.

Abiotic stresses such as heat and frost limit plant growth and productivity. Image-based field phenotyping methods allow quantifying not only plant growth but also plant senescence. Winter crops show senescence caused by cold spells, visible as declines in leaf area. We accurately quantified such declines by monitoring changes in canopy cover based on time-resolved high-resolution imagery in the field. Thirty-six winter wheat genotypes were measured in multiple years. A concept termed "frost damage index" (FDI) was developed that, in analogy to growing degree days, summarizes frost events in a cumulative way. The measured sensitivity of genotypes to the FDI correlated with visual scorings commonly used in breeding to assess winter hardiness. The FDI concept could be adapted to other factors such as drought or heat stress. While commonly not considered in plant growth modeling, integrating such degradation processes may be key to improving the prediction of plant performance for future climate scenarios.

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来源期刊
Plant Phenomics
Plant Phenomics Multiple-
CiteScore
8.60
自引率
9.20%
发文量
26
审稿时长
14 weeks
期刊介绍: Plant Phenomics is an Open Access journal published in affiliation with the State Key Laboratory of Crop Genetics & Germplasm Enhancement, Nanjing Agricultural University (NAU) and published by the American Association for the Advancement of Science (AAAS). Like all partners participating in the Science Partner Journal program, Plant Phenomics is editorially independent from the Science family of journals. The mission of Plant Phenomics is to publish novel research that will advance all aspects of plant phenotyping from the cell to the plant population levels using innovative combinations of sensor systems and data analytics. Plant Phenomics aims also to connect phenomics to other science domains, such as genomics, genetics, physiology, molecular biology, bioinformatics, statistics, mathematics, and computer sciences. Plant Phenomics should thus contribute to advance plant sciences and agriculture/forestry/horticulture by addressing key scientific challenges in the area of plant phenomics. The scope of the journal covers the latest technologies in plant phenotyping for data acquisition, data management, data interpretation, modeling, and their practical applications for crop cultivation, plant breeding, forestry, horticulture, ecology, and other plant-related domains.
期刊最新文献
From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat. Informed-Learning-Guided Visual Question Answering Model of Crop Disease. Coupling PROSPECT with Prior Estimation of Leaf Structure to Improve the Retrieval of Leaf Nitrogen Content in Ginkgo from Bidirectional Reflectance Factor Spectra. A Field-to-Parameter Pipeline for Analyzing and Simulating Root System Architecture of Woody Perennials: Application to Grapevine Rootstocks. Estimating Leaf Nitrogen Accumulation Considering Vertical Heterogeneity Using Multiangular Unmanned Aerial Vehicle Remote Sensing in Wheat.
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