Miriam Athmann
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Explore the profile of Miriam Athmann including associated specialties, affiliations and a list of published articles.
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7
Citations
82
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0
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Recent Articles
1.
Milke F, Rodas-Gaitan H, Meissner G, Masson V, Oltmanns M, Moller M, et al.
ISME Commun
. 2024 Dec;
4(1):ycae021.
PMID: 39703675
The potential of soils to maintain biological productivity, defined as soil health, is strongly influenced by human activity, such as agriculture. Therefore, soil management has always been a concern for...
2.
Lopez G, Ahmadi S, Amelung W, Athmann M, Ewert F, Gaiser T, et al.
Front Plant Sci
. 2023 Jan;
13:1067498.
PMID: 36684760
Plant root traits play a crucial role in resource acquisition and crop performance when soil nutrient availability is low. However, the respective trait responses are complex, particularly at the field...
3.
Smith A, Han E, Petersen J, Olsen N, Giese C, Athmann M, et al.
New Phytol
. 2022 Jul;
236(2):774-791.
PMID: 35851958
Convolutional neural networks (CNNs) are a powerful tool for plant image analysis, but challenges remain in making them more accessible to researchers without a machine-learning background. We present RootPainter, an...
4.
Seidel S, Gaiser T, Srivastava A, Leitner D, Schmittmann O, Athmann M, et al.
Front Plant Sci
. 2022 Jun;
13:865188.
PMID: 35668793
Accurate prediction of root growth and related resource uptake is crucial to accurately simulate crop growth especially under unfavorable environmental conditions. We coupled a 1D field-scale crop-soil model running in...
5.
Han E, Smith A, Kemper R, White R, Kirkegaard J, Thorup-Kristensen K, et al.
J Exp Bot
. 2021 Apr;
72(13):4680-4690.
PMID: 33884416
The scale of root quantification in research is often limited by the time required for sampling, measurement, and processing samples. Recent developments in convolutional neural networks (CNNs) have made faster...
6.
Doesburg P, Fritz J, Athmann M, Bornhutter R, Busscher N, Geier U, et al.
PLoS One
. 2021 Mar;
16(3):e0248124.
PMID: 33720965
There is an increasing interest in a systemic approach to food quality. From this perspective, the copper chloride crystallization method is an interesting asset as it enables an estimation of...
7.
Uksa M, Buegger F, Gschwendtner S, Lueders T, Kublik S, Kautz T, et al.
Environ Microbiol Rep
. 2017 Sep;
9(6):729-741.
PMID: 28892269
Root exudates shape microbial communities at the plant-soil interface. Here we compared bacterial communities that utilize plant-derived carbon in the rhizosphere of wheat in different soil depths, including topsoil, as...