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Affordable phenotyping of winter wheat under field and controlled conditions for drought tolerance

Kumar, Dhananjay and Kushwaha, Sandeep Kumar and Delvento, Chiara and Liatukas, Žilvinas and Vivekanand, Vivekanand and Svensson, Jan T. and Henriksson, Tina and Brazauskas, Gintaras and Chawade, Aakash (2020). Affordable phenotyping of winter wheat under field and controlled conditions for drought tolerance. Agronomy. 10 , 882 , 1-15
[Journal article]

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Abstract

Drought stress is one of the key plant stresses reducing grain yield in cereal crops worldwide. Although it is not a breeding target in Northern Europe, the changing climate and the drought of 2018 have increased its significance in the region. A key challenge, therefore, is to identify novel germplasm with higher drought tolerance, a task that will require continuous characterization of a large number of genotypes. The aim of this work was to assess if phenotyping systems with low-cost consumer-grade digital cameras can be used to characterize germplasm for drought tolerance. To achieve this goal, we built a proximal phenotyping cart mounted with digital cameras and evaluated it by characterizing 142 winter wheat genotypes for drought tolerance under field conditions. The same genotypes were additionally characterized for seedling stage traits by imaging under controlled growth conditions. The analysis revealed that under field conditions, plant biomass, relative growth rates, and Normalized Difference Vegetation Index (NDVI) from different growth stages estimated by imaging were significantly correlated to drought tolerance. Under controlled growth conditions, root count at the seedling stage evaluated by imaging was significantly correlated to adult plant drought tolerance observed in the field. Random forest models were trained by integrating measurements from field and controlled conditions and revealed that plant biomass and relative growth rates at key plant growth stages are important predictors of drought tolerance. Thus, based on the results, it can be concluded that the consumer-grade cameras can be key components of affordable automated phenotyping systems to accelerate pre-breeding for drought tolerance.

Authors/Creators:Kumar, Dhananjay and Kushwaha, Sandeep Kumar and Delvento, Chiara and Liatukas, Žilvinas and Vivekanand, Vivekanand and Svensson, Jan T. and Henriksson, Tina and Brazauskas, Gintaras and Chawade, Aakash
Title:Affordable phenotyping of winter wheat under field and controlled conditions for drought tolerance
Year of publishing :2020
Volume:10
Article number:882
Number of Pages:15
Publisher:MDPI
ISSN:2073-4395
Language:English
Publication Type:Journal article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Agricultural Science
Keywords:wheat, drought, machine learning, affordable phenotyping
URN:NBN:urn:nbn:se:slu:epsilon-p-106670
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-106670
Additional ID:
Type of IDID
DOI10.3390/agronomy10060882
ID Code:17246
Faculty:LTV - Fakulteten för landskapsarkitektur, trädgårds- och växtproduktionsvetenskap
Department:(LTJ, LTV) > Department of Plant Breeding (from 130101)
Deposited By: SLUpub Connector
Deposited On:10 Jul 2020 10:42
Metadata Last Modified:05 Sep 2020 10:15

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