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Junker, Astrid

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Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress

Dodig, Dejan; Božinović, Sofija; Nikolić, Ana; Zorić, Miroslav; Vančetović, Jelena; Ignjatović-Micić, Dragana; Delić, Nenad; Weigelt-Fischer, Kathleen; Junker, Astrid; Altmann, Thomas

(Lausanne : Frontiers Media SA, 2019)

TY  - JOUR
AU  - Dodig, Dejan
AU  - Božinović, Sofija
AU  - Nikolić, Ana
AU  - Zorić, Miroslav
AU  - Vančetović, Jelena
AU  - Ignjatović-Micić, Dragana
AU  - Delić, Nenad
AU  - Weigelt-Fischer, Kathleen
AU  - Junker, Astrid
AU  - Altmann, Thomas
PY  - 2019
UR  - http://rik.mrizp.rs/handle/123456789/812
AB  - Phenotypic measurements under controlled cultivation conditions are essential to gain
a mechanistic understanding of plant responses to environmental impacts and thus
for knowledge-based improvement of their performance under natural field conditions.
Twenty maize inbred lines (ILs) were phenotyped in response to two levels of water and
nitrogen supply (control and stress) and combined nitrogen and water deficit. Over a
course of 5 weeks (from about 4-leaf stage to the beginning of the reproductive stage),
maize phenology and growth were monitored by using a high-throughput phenotyping
platform for daily acquisition of images in different spectral ranges. The focus of the
present study is on the measurements taken at the time of maximum water stress (for
traits that reflect plant physiological properties) and at the end of the experiment (for
traits that reflect plant architectural and biomass-related traits). Twenty-five phenotypic
traits extracted from the digital image data that support biological interpretation of
plant growth were selected for their predictive value for mid-season shoot biomass
accumulation. Measured fresh and dry weights after harvest were used to calculate
various indices (water-use efficiency, physiological nitrogen-use efficiency, specific plant
weight) and to establish correlations with image-derived phenotypic features. Also, score
indices based on dry weight were used to identify contrasting ILs in terms of productivity
and tolerance to stress, and their means for image-derived and manually measured traits
were compared. Color-related traits appear to be indicative of plant performance and
photosystem II operating efficiency might be an importance physiological parameter
of biomass accumulation, particularly under severe stress conditions. Also, genotypes
showing greater leaf area may be better adapted to abiotic stress conditions.
PB  - Lausanne : Frontiers Media SA
T2  - Frontiers in Plant Science
T1  - Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress
VL  - 10
SP  - 814
DO  - 10.3389/fpls.2019.00814
ER  - 
@article{
author = "Dodig, Dejan and Božinović, Sofija and Nikolić, Ana and Zorić, Miroslav and Vančetović, Jelena and Ignjatović-Micić, Dragana and Delić, Nenad and Weigelt-Fischer, Kathleen and Junker, Astrid and Altmann, Thomas",
year = "2019",
url = "http://rik.mrizp.rs/handle/123456789/812",
abstract = "Phenotypic measurements under controlled cultivation conditions are essential to gain
a mechanistic understanding of plant responses to environmental impacts and thus
for knowledge-based improvement of their performance under natural field conditions.
Twenty maize inbred lines (ILs) were phenotyped in response to two levels of water and
nitrogen supply (control and stress) and combined nitrogen and water deficit. Over a
course of 5 weeks (from about 4-leaf stage to the beginning of the reproductive stage),
maize phenology and growth were monitored by using a high-throughput phenotyping
platform for daily acquisition of images in different spectral ranges. The focus of the
present study is on the measurements taken at the time of maximum water stress (for
traits that reflect plant physiological properties) and at the end of the experiment (for
traits that reflect plant architectural and biomass-related traits). Twenty-five phenotypic
traits extracted from the digital image data that support biological interpretation of
plant growth were selected for their predictive value for mid-season shoot biomass
accumulation. Measured fresh and dry weights after harvest were used to calculate
various indices (water-use efficiency, physiological nitrogen-use efficiency, specific plant
weight) and to establish correlations with image-derived phenotypic features. Also, score
indices based on dry weight were used to identify contrasting ILs in terms of productivity
and tolerance to stress, and their means for image-derived and manually measured traits
were compared. Color-related traits appear to be indicative of plant performance and
photosystem II operating efficiency might be an importance physiological parameter
of biomass accumulation, particularly under severe stress conditions. Also, genotypes
showing greater leaf area may be better adapted to abiotic stress conditions.",
publisher = "Lausanne : Frontiers Media SA",
journal = "Frontiers in Plant Science",
title = "Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress",
volume = "10",
pages = "814",
doi = "10.3389/fpls.2019.00814"
}
Dodig, D., Božinović, S., Nikolić, A., Zorić, M., Vančetović, J., Ignjatović-Micić, D., Delić, N., Weigelt-Fischer, K., Junker, A.,& Altmann, T. (2019). Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress.
Frontiers in Plant ScienceLausanne : Frontiers Media SA., 10, 814.
https://doi.org/10.3389/fpls.2019.00814
Dodig D, Božinović S, Nikolić A, Zorić M, Vančetović J, Ignjatović-Micić D, Delić N, Weigelt-Fischer K, Junker A, Altmann T. Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress. Frontiers in Plant Science. 2019;10:814
Dodig Dejan, Božinović Sofija, Nikolić Ana, Zorić Miroslav, Vančetović Jelena, Ignjatović-Micić Dragana, Delić Nenad, Weigelt-Fischer Kathleen, Junker Astrid, Altmann Thomas, "Image-derived traits related to mid-season growth performance of maize under nitrogen and water stress" 10 (2019):814,
https://doi.org/10.3389/fpls.2019.00814 .
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