Literature DB >> 32481074

Development of a diurnal dehydration index for spring barley phenotyping.

Pablo Rischbeck1, Peter Baresel1, Salah Elsayed2, Bodo Mistele1, Urs Schmidhalter1.   

Abstract

Spectral and thermal assessments may enable the precise, high-throughput and low-cost characterisation of traits linked to drought tolerance. However, spectral and thermal measurements of the canopy water status are influenced by the crops' soil coverage, the size of the biomass and other properties such as the leaf angle distribution. The aim of this study was to develop a referenced spectral method that would be minimally influenced by potentially perturbing factors for retrieving the water status of differing cultivars. Sixteen spring barley cultivars were grown in field trials under imposed drought stress, natural drought stress and irrigated conditions. The relative leaf water content of barley plants declines diurnally from pre-dawn until the afternoon, and other plant traits such as the biomass change little throughout the day. As an indicator of the current drought stress, pre-dawn and afternoon values of the relative leaf water content were assessed spectrally. Diurnal changes in reflectance are only slightly influenced by other perturbing factors. A new spectral index (diurnal dehydration index) was developed by using the wavelengths 730 and 457nm collected from an active spectrometer. This index allowed the differentiation of the drought tolerance of barley plants. The diurnal dehydration index was significantly related to final biomass, grain yield and harvest index and significantly different between cultivars. Compared with other indices, the diurnal dehydration index offered a higher stability in retrieving the water status of barley plants. Due to its diurnal assessment, the index was barely influenced by the differences in cultivars biomass at the time of measurement. It may represent a valuable tool for assessing the water status or drought tolerance in breeding nurseries.

Entities:  

Year:  2014        PMID: 32481074     DOI: 10.1071/FP14069

Source DB:  PubMed          Journal:  Funct Plant Biol        ISSN: 1445-4416            Impact factor:   3.101


  2 in total

1.  Entropy Weight Ensemble Framework for Yield Prediction of Winter Wheat Under Different Water Stress Treatments Using Unmanned Aerial Vehicle-Based Multispectral and Thermal Data.

Authors:  Shuaipeng Fei; Muhammad Adeel Hassan; Yuntao Ma; Meiyan Shu; Qian Cheng; Zongpeng Li; Zhen Chen; Yonggui Xiao
Journal:  Front Plant Sci       Date:  2021-12-20       Impact factor: 5.753

2.  Daytime and seasonal reflectance of maize grown in varying compass directions.

Authors:  Claudia Buchhart; Urs Schmidhalter
Journal:  Front Plant Sci       Date:  2022-09-23       Impact factor: 6.627

  2 in total

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