Literature DB >> 32062254

Application of organic carbon affects mineral nitrogen uptake by winter wheat and leaching in subsoil: Proximal sensing as a tool for agronomic practice.

Petr Holub1, Karel Klem2, Ivan Tůma3, Jana Vavříková4, Kateřina Surá2, Barbora Veselá2, Otmar Urban2, Jaroslav Záhora4.   

Abstract

We tested the hypothesis that application of stable forms of organic carbon (C) into the soil reduces leaching of nitrogen (N). We also examined the potential to estimate N leaching employing N-sensitive spectral reflectance indices. During three growing seasons 2013-2015, field experiment at two experimental sites combining application of distinct N doses (0 (N0), 35 (N35), 70 (N70), and 140 (N140) kg N ha-1) and two stable forms of organic C (lignohumate and compost) was established to measure N uptake by winter wheat and its leaching to subsoil layers. The spectral reflectance at canopy level was measured simultaneously with N content in leaf dry matter at the beginning of the grain filling phase. At full maturity, the above-ground biomass, grain yield, and grain protein content were evaluated. That data was used to calculate N uptake in grain. The N140 dose led to increased N uptake by grain of 64% and 73% in the wetter years 2013 and 2014, respectively, and even by 118% in the drier year 2015 in comparison with the N0 treatment. N leaching to subsoil increased substantially with higher N dose, but only in wetter years 2013 (by 74%) and 2014 (by 87%). By contrast, no effect of N dose on leached N was found in the dry year 2015. The application of organic C along with the N140 dose substantially reduced N leaching by 26% and 29% in 2014 and 2015, respectively. Moreover, we demonstrated that normalized red-edge spectral reflectance index (NRERI) is able to predict N uptake by wheat and it can serve as an indicator of N leaching in heavy-rainfall years. Our results thus point towards possible agronomic practices and use of remote-sensing techniques to reduce groundwater contamination by N-based fertilizers.
Copyright © 2020. Published by Elsevier B.V.

Entities:  

Keywords:  Ammonium; Crop; Grain yield; Nitrates; Protein content; Vegetation index

Year:  2020        PMID: 32062254     DOI: 10.1016/j.scitotenv.2020.137058

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  How the Supramolecular Nature of Lignohumate Affects Its Diffusion in Agarose Hydrogel.

Authors:  Martina Klučáková; Michal Kalina; Vojtěch Enev
Journal:  Molecules       Date:  2020-12-10       Impact factor: 4.411

  1 in total

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