TY  - CONF
AU  - Ljubičić, Nataša
AU  - Kostić, Marko
AU  - Oskar, Marko
AU  - Panić, Marko
AU  - Brdar, Sanja
AU  - Lugonja, Predrag
AU  - Knežević, Milivoje
AU  - Minić, Vladan
AU  - Ivošević, Bojana
AU  - Jevtić, Radivoje
AU  - Crnojević, Vladimir
PY  - 2018
UR  - http://fiver.ifvcns.rs/handle/123456789/4083
AB  - Aboveground biomass of wheat is considered as one of the most important crop parameters and correct estimation of aboveground biomass can help improve crop monitoring and grain yield prediction. Remotely sensed vegetation indices 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 traits of wheat. The objective of this study was to evaluate the potential of different NDVIs derived from field reflectance measurements in identification of a specific growth stage in which proximally or remotely sensed data showed the highest correlation with aboveground biomass and grain yield of 24 winter wheat genotypes. The NDVI was determined using an integrated proximal sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering, medium milk, early dough and fully ripe. The hyperspectral NDVI indices were calculated from two-band combinations between red (600-700 nm) or far-red (700-750 nm) and near-infrared (756-955 nm) regions. Highly significant correlations were found between different NDVIs and both examined traits at medium milk growth stage, with r values of up to 0.69. The strong positive relationship implies that medium milk stage is optimal for wheat traits assessment in semiarid or similar growing conditions. The overall results indicated that hyperspectral camera provided alternative spectral combinations for different NDVIs which could be successfully used in assessing aboveground biomass and grain yield of a large number of wheat genotypes.
PB  - East Sarajevo : University of East Sarajevo, Faculty of Agriculture
C3  - Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina
T1  - Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements
EP  - 397
SP  - 390
UR  - https://hdl.handle.net/21.15107/rcub_fiver_4083
ER  - 

@conference{
author = "Ljubičić, Nataša and Kostić, Marko and Oskar, Marko and Panić, Marko and Brdar, Sanja and Lugonja, Predrag and Knežević, Milivoje and Minić, Vladan and Ivošević, Bojana and Jevtić, Radivoje and Crnojević, Vladimir",
year = "2018",
abstract = "Aboveground biomass of wheat is considered as one of the most important crop parameters and correct estimation of aboveground biomass can help improve crop monitoring and grain yield prediction. Remotely sensed vegetation indices 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 traits of wheat. The objective of this study was to evaluate the potential of different NDVIs derived from field reflectance measurements in identification of a specific growth stage in which proximally or remotely sensed data showed the highest correlation with aboveground biomass and grain yield of 24 winter wheat genotypes. The NDVI was determined using an integrated proximal sensor GreenSeeker (NTech Industries Inc., Ukiah, California, USA) and hyperspectral camera (Ximea Corp., Lakewood, CO USA) at four growth stages of wheat: full flowering, medium milk, early dough and fully ripe. The hyperspectral NDVI indices were calculated from two-band combinations between red (600-700 nm) or far-red (700-750 nm) and near-infrared (756-955 nm) regions. Highly significant correlations were found between different NDVIs and both examined traits at medium milk growth stage, with r values of up to 0.69. The strong positive relationship implies that medium milk stage is optimal for wheat traits assessment in semiarid or similar growing conditions. The overall results indicated that hyperspectral camera provided alternative spectral combinations for different NDVIs which could be successfully used in assessing aboveground biomass and grain yield of a large number of wheat genotypes.",
publisher = "East Sarajevo : University of East Sarajevo, Faculty of Agriculture",
journal = "Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina",
title = "Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements",
pages = "397-390",
url = "https://hdl.handle.net/21.15107/rcub_fiver_4083"
}

Ljubičić, N., Kostić, M., Oskar, M., Panić, M., Brdar, S., Lugonja, P., Knežević, M., Minić, V., Ivošević, B., Jevtić, R.,& Crnojević, V.. (2018). Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements. in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina
East Sarajevo : University of East Sarajevo, Faculty of Agriculture., 390-397.
https://hdl.handle.net/21.15107/rcub_fiver_4083

Ljubičić N, Kostić M, Oskar M, Panić M, Brdar S, Lugonja P, Knežević M, Minić V, Ivošević B, Jevtić R, Crnojević V. Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements. in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina. 2018;:390-397.
https://hdl.handle.net/21.15107/rcub_fiver_4083 .

Ljubičić, Nataša, Kostić, Marko, Oskar, Marko, Panić, Marko, Brdar, Sanja, Lugonja, Predrag, Knežević, Milivoje, Minić, Vladan, Ivošević, Bojana, Jevtić, Radivoje, Crnojević, Vladimir, "Estimation of aboveground biomass and grain yield of winter wheat using NDVI measurements" in Book of Proceedings, 9th International Scientific Agriculture Symposium "Agrosym 2018", 4-7 October 2018, Jahorina (2018):390-397,
https://hdl.handle.net/21.15107/rcub_fiver_4083 .