Interactive effects of water deficit and nitrogen nutrition on winter wheat. Remote sensing methods for their detection

0496363 - ÚVGZ 2019 RIV NL eng J - Journal Article
Klem, Karel - Záhora, J. - Zemek, František - Trunda, Petr - Tůma, I. - Surá, Kateřina - Hodaňová, Petra - Rapantová, Barbora - Hanuš, Jan - Vavříková, J. - Holub, Petr
Interactive effects of water deficit and nitrogen nutrition on winter wheat. Remote sensing methods for their detection.
Agricultural Water Management. Roč. 210, NOV (2018), s. 171-184. ISSN 0378-3774. E-ISSN 1873-2283
R&D Projects: GA MZe QJ1220007; GA MŠMT(CZ) LO1415; GA MŠMT(CZ) EF16_013/0001609
Research Infrastructure: CzeCOS II - 90061
Institutional support: RVO:86652079
Keywords : hyperspectral vegetation indexes * higher-plant leaves * chlorophyll content * drought stress * spectral reflectance * use efficiency * precision agriculture * oxidative stress * crop canopies * gas-exchange * Agroecosystem * Drought * Grain yield * Infrared thermography * Spectral reflectance
OECD category: Agronomy, plant breeding and plant protection
Impact factor: 3.542, year: 2018

Water and nitrogen (N) deficit are globally the most frequently limiting factors for agricultural crops, while both often occur together. To evaluate the interactive effects of water deficit and N nutrition on remote sensing data, rainout shelter field experiments were conducted in winter wheat during 2013-2014. Canopy spectral reflectance and infrared thermal imaging parameters were correlated to biochemical, physiological, morphological and production characteristics. Correlation analysis revealed that stomatal response to water deficit is best estimated using the NPCI (Normalized Pigment Chlorophyll Index) vegetation index and also by the CWSI (Crop Water Stress Index) thermal index. A variety of vegetation indices can be used to estimate grain yield, among which the best-performing is the Normalized Red Edge-Red Index (NRERI). That index shows the highest correlation irrespective of water deficit and N nutrition. Although none of the indices provided good detection of N content in plants, the total N uptake in wheat grain was reliably estimated by the TCARI/OSAVI (Transformed Chlorophyll Absorption Reflectance Index/Optimized Soil-Adjusted Vegetation Index). The results demonstrated that utilization of N for yield or grain protein formation was largely determined by water availability, and the relationships between vegetation indices and grain protein content thus have a distinct slope under water deficit. In summary, the spectral and thermal indices can provide satisfactory estimation, irrespective of interactions between water and N deficit, for grain yield, N uptake, and stomatal responses. However, when estimating the grain protein content, the water availability should be considered.
Permanent Link: http://hdl.handle.net/11104/0289171