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Frost Damage Index:The Antipode of Growing Degree Days

Plant Phenomics 2023年第4期5卷 757-766页

作者： Flavian Tschurr Norbert Kirchgessner Andreas Hund lukas kronenberg Jonas Anderegg Achim Walter lukas Roth Department of Environmental System Sciences Institute of Agricultural SciencesETH ZürichZürichSwitzerland Crop Genetics John Innes CentreNorwichUK Department of Environmental System Sciences Institute of Integrative BiologyETH ZürichZürichSwitzerland

Abiotic stresses such as heat and frost limit plant growth and ***-based field phenotyping methods allow quantifying not only plant growth but also plant *** crops show senescence caused by cold spells,visible as declines in leaf *** accurately quantified such declines by monitoring changes in canopy cover based on time-resolved high-resolution imagery in the ***-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 *** measured sensitivity of genotypes to the FDI correlated with visual scorings commonly used in breeding to assess winter *** FDI concept could be adapted to other factors such as drought or heat *** 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.

关键词： winter analogy integrating

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From Neglecting to Including Cultivar-Specific Per Se Temperature Responses:Extending the Concept of Thermal Time in Field Crops

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Plant Phenomics 2024年第3期6卷 547-562页

作者： lukas Roth Martina Binder Norbert Kirchgessner Flavian Tschurr Steven Yates Andreas Hund lukas kronenberg Achim Walter ETH Zurich Institute of Agricultural SciencesUniversitätstrasse 28092 ZürichSwitzerland John Innes Centre Crop GeneticsNorwich NR47UHUnited Kingdom

Predicting plant development,a longstanding goal in plant physiology,involves 2 interwoven components:continuous growth and the progression of growth stages(phenology).Current models for winter wheat and soybean assume species-level growth responses to *** challenge this assumption,suggesting that cultivar-specific temperature responses substantially affect *** investigate,we collected field-based growth and phenology data in winter wheat and soybean over multiple *** used diverse models,from linear to neural networks,to assess growth responses to temperature at various trait and covariate ***-specific nonlinear models best explained phenology-related cultivar-environment *** cultivar-specific models,additional relations to other stressors than temperature were *** availability of the presented field phenotyping tools allows incorporating cultivar-specific temperature response functions in future plant physiology studies,which will deepen our understanding of key factors that influence plant ***,this work has implications for crop breeding and cultivation under adverse climatic conditions.

关键词： temperature specific concept crops field time from cultivar extending including

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Repeated Multiview Imaging for Estimating Seedling Tiller Counts of Wheat Genotypes Using Drones

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Plant Phenomics 2020年第1期2卷 279-298页

作者： lukas Roth Moritz Camenzind Helge Aasen lukas kronenberg Christoph Barendregt Karl-Heinz Camp Achim Walter Norbert Kirchgessner Andreas Hund ETH Zurich Institute of Agricultural SciencesUniversitätstrasse 28092 ZurichSwitzerland Delley Samen und Pflanzen AG Route de Portalban 401567 DelleySwitzerland

Early generation breeding nurseries with thousands of genotypes in single-row plots are well suited to capitalize on high throughput ***,methods to monitor the intrinsically hard-to-phenotype early development of wheat are yet *** aimed to develop proxy measures for the rate of plant emergence,the number of tillers,and the beginning of stem elongation using drone-based *** used RGB images(ground sampling distance of 3mm pixel-1)acquired by repeated flights(≥2 flights per week)to quantify temporal changes of visible leaf *** exploit the information contained in the multitude of viewing angles within the RGB images,we processed them to multiview ground cover images showing plant pixel *** on these images,we trained a support vector machine for the beginning of stem elongation(GS30).Using the GS30 as key point,we subsequently extracted plant and tiller counts using a watershed algorithm and growth modeling,*** results show that determination coefficients of predictions are moderate for plant count(R^(2)=0:52),but strong for tiller count(R^(2)=0:86)and GS30(R^(2)=0:77).Heritabilities are superior to manual measurements for plant count and tiller count,but inferior for GS30 *** the selection intensity due to throughput may overcome this *** image traits can replace hand measurements with high efficiency(85-223%).We therefore conclude that multiview images have a high potential to become a standard tool in plant phenomics.

关键词： Wheat watershed breeding

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