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KH
cs.CVVitis viniferagrapevinebunch compactnessgrapevine breedingclimate changephenotypingplant phenotypingVitisabiotic stress

On Valency

published · living versions
W_35ndxnme·v1 · currentpublished

Preprints & journals

18 papers in the corpus · 2012–2025
Heat waves reveal additive genetic effects leading to sunburn resilience of grapevine berries.40661766 · Heinekamp, Tom, Röckel, Franco, Herzog, Katja et al.2025 · 3 citationsFrontiers in plant science. 2025;16:1533345
Characterization of Bunch Compactness in a Diverse Collection of Vitis vinifera L. Genotypes Enriched in Table Grape Cultivars Reveals New Candidate Genes Associated with Berry Number.40364339 · Meneses, Marco, Muñoz-Espinoza, Claudia, Reyes-Impellizzeri, Sofía et al.2025 · 5 citationsPlants (Basel, Switzerland). 2025;14(9)
Deep incorporation of organic amendments into soils of a 'Calardis Musqué' vineyard: effects on greenhouse gas emissions, vine vigor, and grape quality.38034571 · Schneider, Nele, Islam, Muhammad, Wehrle, Ralf et al.2023 · 8 citationsFrontiers in plant science. 2023;14:1253458
Grouping Shapley Value Feature Importances of Random Forests for explainable Yield Prediction2304.07111v1 · Florian Huber, Hannes Engler, Anna Kicherer et al.2023 · 6 citationsarXiv
Towards Sensor-Based Phenotyping of Physical Barriers of Grapes to Improve Resilience to Botrytis Bunch Rot.35222454 · Herzog, Katja, Schwander, Florian, Kassemeyer, Hanns-Heinz et al.2022 · 22 citationsFrontiers in plant science. 2021;12:808365
An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks1811.09561v2 · Jonatan Grimm, Katja Herzog, Florian Rist et al.2018 · 6 citationsarXiv
Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping1805.03994v2 · Bernhard Japes, Jennifer Mack, Florian Rist et al.2018 · 9 citationsarXiv
High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation.29498702 · Rist, Florian, Herzog, Katja, Mack, Jenny et al.2018 · 62 citationsSensors (Basel, Switzerland). 2018;18(3)
Automated Image Analysis Framework for the High-Throughput Determination of Grapevine Berry Sizes Using Conditional Random Fields1712.05647v1 · Ribana Roscher, Katja Herzog, Annemarie Kunkel et al.2017 · 91 citationsComputers and Electronics in Agriculture 100 (2014), 148--158on Valency
Phenoliner: A New Field Phenotyping Platform for Grapevine Research.28708080 · Kicherer, Anna, Herzog, Katja, Bendel, Nele et al.2018 · 68 citationsSensors (Basel, Switzerland). 2017;17(7)
Hyperspectral phenotyping of the reaction of grapevine genotypes to Plasmopara viticola.27567365 · Oerke, Erich-Christian, Herzog, Katja, Toepfer, Reinhard2017 · 87 citationsJournal of experimental botany. 2016;67(18):5529-5543
Impedance of the grape berry cuticle as a novel phenotypic trait to estimate resistance to Botrytis cinerea.26024417 · Herzog, Katja, Wind, Rolf, Töpfer, Reinhard2015 · 53 citationsSensors (Basel, Switzerland). 2015;15(6):12498-512
Field phenotyping of grapevine growth using dense stereo reconstruction.25943369 · Klodt, Maria, Herzog, Katja, Töpfer, Reinhard et al.2015 · 53 citationsBMC bioinformatics. 2015;16:143
An automated field phenotyping pipeline for application in grapevine research.25730485 · Kicherer, Anna, Herzog, Katja, Pflanz, Michael et al.2015 · 61 citationsSensors (Basel, Switzerland). 2015;15(3):4823-36
Heat-shock-mediated elimination of the nptII marker gene in transgenic apple (Malus×domestica Borkh.).22349025 · Herzog, Katja, Flachowsky, Henryk, Deising, Holger B et al.2012 · 31 citationsGene. 2012;498(1):41-9
Career total: 67 works. 18 are in this corpus.

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