Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)
Аутори
Ljubičić, NatašaMarko, Oskar
Maksimović, Ivana
Panić, Marko
Putnik-Delić, Marina
Kostić, Marko
Daničić, Milena
Brdar, Sanja
Jevtić, Radivoje
Crnojević, Vladimir
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll
content, carotenoids, relative dry matter and nitrogen content are important traits for the growth
of winter wheat genotypes. However, methods to estimate these traits are laborious and
destructive. Spectral reflectance indices based on combination of visible and near-infrared
wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most
promising tools for application in field phenotyping with potential to provide complex information
on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of
NDVI measurements of wheat canopy in identification of a specific growth stage in which
remotely sensed data show the largest correlation with final grain yield, grain weight per plant,
total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29
winter wheat (Triticum aestivum L.) genotype...s. The NDVI was measured using an active hand-held
sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera
(Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65),
medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different
hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or
far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson’s correlation coefficient
was used to explore the relationship among examined traits and NDVI measured at different
growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed
negative correlation with the relative dry matter content at all observed growth stages. Significant
positive correlations (higher than 0.6 and significant at P < 0.05) were found between the specific
hyperspectral NDVIs measured at medium milk stage and grain weight per plant, total leaf
chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong
positive relationship between NDVI and examined traits found at medium milk stage suggests that
this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or
similar wheat growing conditions. The overall results indicate that spectral reflectance tools based
on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to
assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and
non-destructive manner. Furthermore, although neither device appeared to have a sizeable
advantage over the other, NDVI acquired by hyperspectral camera does appear to be more
indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral
combinations can be used in assessing targeted traits of winter wheat genotypes.
Abstract book
Кључне речи:
wheat / phenotyping / tools / morpho-physiological traits / spectral reflectance indicesИзвор:
Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia, 2017, 17-17Издавач:
- European Plant Phenotyping Network
Финансирање / пројекти:
- Transnational Access EPPN2020 – "Phenotyping of wheat (Triticum aestivum L.) response to heat stress at different developmental stages"
Колекције
Институција/група
FiVeRTY - CONF AU - Ljubičić, Nataša AU - Marko, Oskar AU - Maksimović, Ivana AU - Panić, Marko AU - Putnik-Delić, Marina AU - Kostić, Marko AU - Daničić, Milena AU - Brdar, Sanja AU - Jevtić, Radivoje AU - Crnojević, Vladimir PY - 2017 UR - http://fiver.ifvcns.rs/handle/123456789/4555 AB - Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to estimate these traits are laborious and destructive. Spectral reflectance indices based on combination of visible and near-infrared wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of NDVI measurements of wheat canopy in identification of a specific growth stage in which remotely sensed data show the largest correlation with final grain yield, grain weight per plant, total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29 winter wheat (Triticum aestivum L.) genotypes. The NDVI was measured using an active hand-held sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65), medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson’s correlation coefficient was used to explore the relationship among examined traits and NDVI measured at different growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed negative correlation with the relative dry matter content at all observed growth stages. Significant positive correlations (higher than 0.6 and significant at P < 0.05) were found between the specific hyperspectral NDVIs measured at medium milk stage and grain weight per plant, total leaf chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong positive relationship between NDVI and examined traits found at medium milk stage suggests that this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or similar wheat growing conditions. The overall results indicate that spectral reflectance tools based on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and non-destructive manner. Furthermore, although neither device appeared to have a sizeable advantage over the other, NDVI acquired by hyperspectral camera does appear to be more indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral combinations can be used in assessing targeted traits of winter wheat genotypes. Abstract book PB - European Plant Phenotyping Network C3 - Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia T1 - Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.) EP - 17 SP - 17 UR - https://hdl.handle.net/21.15107/rcub_fiver_4555 ER -
@conference{ author = "Ljubičić, Nataša and Marko, Oskar and Maksimović, Ivana and Panić, Marko and Putnik-Delić, Marina and Kostić, Marko and Daničić, Milena and Brdar, Sanja and Jevtić, Radivoje and Crnojević, Vladimir", year = "2017", abstract = "Morpho-physiological traits of wheat such as a grain weight per plant, total leaf chlorophyll content, carotenoids, relative dry matter and nitrogen content are important traits for the growth of winter wheat genotypes. However, methods to estimate these traits are laborious and destructive. Spectral reflectance indices based on combination of visible and near-infrared wavelengths such as NDVI (Normalized Difference Vegetation Index), represent one of the most promising tools for application in field phenotyping with potential to provide complex information on different morpho-physiological traits of wheat. The aim of this study was to assess the utility of NDVI measurements of wheat canopy in identification of a specific growth stage in which remotely sensed data show the largest correlation with final grain yield, grain weight per plant, total leaf chlorophyll and carotenoid content, relative dry matter and nitrogen content in 29 winter wheat (Triticum aestivum L.) genotypes. The NDVI was measured using an active hand-held sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering (BBCH 65), medium milk (BBCH 75), early dough (BBCH 83) and fully ripe stage (BBCH 89). Overall 66 different hyperspectral NDVIs were calculated from two-band combinations between red (600-700 nm) or far red (700-740 nm) and near-infrared (756-946 nm) regions. Pearson’s correlation coefficient was used to explore the relationship among examined traits and NDVI measured at different growth stages of wheat. Obtained results indicate that most of observed NDVI indices showed negative correlation with the relative dry matter content at all observed growth stages. Significant positive correlations (higher than 0.6 and significant at P < 0.05) were found between the specific hyperspectral NDVIs measured at medium milk stage and grain weight per plant, total leaf chlorophyll, carotenoid and nitrogen content, as well as with final grain yield of wheat. The strong positive relationship between NDVI and examined traits found at medium milk stage suggests that this stage is the most appropriate for estimation of these traits of winter wheat in semiarid or similar wheat growing conditions. The overall results indicate that spectral reflectance tools based on combined visible and near-infrared wavelengths, such as NDVI, could be successfully applied to assess morpho-physiological traits of a large number of winter wheat genotypes in a rapid and non-destructive manner. Furthermore, although neither device appeared to have a sizeable advantage over the other, NDVI acquired by hyperspectral camera does appear to be more indicative than NDVI acquired by GreenSeeker sensor, suggesting that alternative spectral combinations can be used in assessing targeted traits of winter wheat genotypes. Abstract book", publisher = "European Plant Phenotyping Network", journal = "Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia", title = "Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)", pages = "17-17", url = "https://hdl.handle.net/21.15107/rcub_fiver_4555" }
Ljubičić, N., Marko, O., Maksimović, I., Panić, M., Putnik-Delić, M., Kostić, M., Daničić, M., Brdar, S., Jevtić, R.,& Crnojević, V.. (2017). Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.). in Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia European Plant Phenotyping Network., 17-17. https://hdl.handle.net/21.15107/rcub_fiver_4555
Ljubičić N, Marko O, Maksimović I, Panić M, Putnik-Delić M, Kostić M, Daničić M, Brdar S, Jevtić R, Crnojević V. Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.). in Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia. 2017;:17-17. https://hdl.handle.net/21.15107/rcub_fiver_4555 .
Ljubičić, Nataša, Marko, Oskar, Maksimović, Ivana, Panić, Marko, Putnik-Delić, Marina, Kostić, Marko, Daničić, Milena, Brdar, Sanja, Jevtić, Radivoje, Crnojević, Vladimir, "Spectral reflectance indices as a phenotyping tool for assessing morpho-physiological traits of winter wheat (Triticum aestivum L.)" in Abstract Book, Plant Phenotyping Workshop: Integrating the European Plant Phenotyping Community, 22-24 September 2017, Tartu, Estonia (2017):17-17, https://hdl.handle.net/21.15107/rcub_fiver_4555 .