Ghent University Academic Bibliography

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- Journal Article
Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability

Willem Coudron, Pieter De Frenne (UGent) , Kris Verheyen (UGent) , Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet and Tom De Swaef

(2023) Frontiers in Plant Science. 14.
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Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression

Sam De Meyer (UGent) , Daniel Felipe Cruz Galvis (UGent) , Tom De Swaef (UGent) , Peter Lootens, Jolien De Block (UGent) , Kevin Bird, Heike Sprenger (UGent) , Michael Van de Voorde (UGent) , Stijn Hawinkel (UGent) , Tom Van Hautegem (UGent) , et al.

(2023) PLOS COMPUTATIONAL BIOLOGY. 19(5).
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Functional annotation of proteins for signaling network inference in non-model species

Lisa Van den Broeck (UGent) , Dinesh Kiran Bhosale, Kuncheng Song, Cássio Flávio Fonseca de Lima (UGent) , Michael Ashley, Tingting Zhu (UGent) , Shanshuo Zhu, Brigitte Van De Cotte (UGent) , Pia Neyt (UGent) , Anna C. Ortiz, et al.

(2023) NATURE COMMUNICATIONS. 14(1).
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Germination kinetics and chlorophyll fluorescence imaging allow for early detection of alkalinity stress in Rhododendron species

Shusheng Wang (UGent) , Leen Leus, Peter Lootens, Johan Van Huylenbroeck and Marie-Christine Van Labeke (UGent)

(2022) HORTICULTURAE. 8(9).
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Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

Lidong Ren, Wim Cornelis (UGent) , Greet Ruysschaert, Jan De Pue, Peter Lootens and Tommy D'Hose

(2022) GEODERMA. 424.
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Detecting spatial variability of soil compaction using soil apparent electrical conductivity and maize traits

Lidong Ren, Tommy D'Hose, Irene Borra‐Serrano, Peter Lootens, Daan Hanssens (UGent) , Philippe De Smedt (UGent) , Wim Cornelis (UGent) and Greet Ruysschaert

(2022) SOIL USE AND MANAGEMENT. 38(4). p.1749-1760
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- Journal Article
- A1
- open access
Response of a diverse European soybean collection to 'short duration' and 'long duration' drought stress

Aamir Saleem, Jonas Aper, Hilde Muylle, Irene Borra-Serrano, Paul Quataert, Peter Lootens, Tom De Swaef and Isabel Roldán-Ruiz (UGent)

(2022) FRONTIERS IN PLANT SCIENCE. 13.
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- Journal Article
- A1
- open access
A European perspective on opportunities and demands for field-based crop phenotyping

Merlijn Morisse (UGent) , Darren M. Wells, Emilie J. Millet, Morten Lillemo, Sven Fahrner, Francesco Cellini, Peter Lootens, Onno Muller, Juan M. Herrera, Alison R. Bentley, et al.

(2022) FIELD CROPS RESEARCH. 276.
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- A2
- open access
On the pivotal role of water potential to model plant physiological processes

Tom De Swaef, Olivier Pieters (UGent) , Simon Appeltans (UGent) , Irene Borra-Serrano, Willem Coudron (UGent) , Valentin Couvreur, Sarah Garré, Peter Lootens, Bart Nicolaï, Leroi Pols, et al.

(2022) IN SILICO PLANTS. 4(1).
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Data collection design for calibration of crop models using practical identifiability analysis

Willem Coudron (UGent) , Anne Gobin, Charlotte Boeckaert, Tim De Cuypere, Peter Lootens, Sabien Pollet, Kris Verheyen (UGent) , Pieter De Frenne (UGent) and Tom De Swaef

(2021) COMPUTERS AND ELECTRONICS IN AGRICULTURE. 190.

Academic Bibliography

Usefulness of cultivar-level calibration of AquaCrop for vegetables depends on the crop and data availability

Predicting yield of individual field-grown rapeseed plants from rosette-stage leaf gene expression

Functional annotation of proteins for signaling network inference in non-model species

Germination kinetics and chlorophyll fluorescence imaging allow for early detection of alkalinity stress in Rhododendron species

Quantifying the impact of induced topsoil and historical subsoil compaction as well as the persistence of subsoiling

Detecting spatial variability of soil compaction using soil apparent electrical conductivity and maize traits

Response of a diverse European soybean collection to 'short duration' and 'long duration' drought stress

A European perspective on opportunities and demands for field-based crop phenotyping

On the pivotal role of water potential to model plant physiological processes

Data collection design for calibration of crop models using practical identifiability analysis

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