Evaluation of flat and variable rate nitrogen application effect on winter wheat yield on the basis of yield maps

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F19%3A43916694" target="_blank" >RIV/62156489:43210/19:43916694 - isvavai.cz</a>

Alternative codes found

RIV/62156489:43410/19:43916694

Result on the web

<a href="http://dx.doi.org/10.5593/sgem2019/2.2/S11.101" target="_blank" >http://dx.doi.org/10.5593/sgem2019/2.2/S11.101</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5593/sgem2019/2.2/S11.101" target="_blank" >10.5593/sgem2019/2.2/S11.101</a>

Result language

angličtina

Original language name

Evaluation of flat and variable rate nitrogen application effect on winter wheat yield on the basis of yield maps

Original language description

The main aim of this work was to evaluate the effect of flat (UNI) and variable application (VRA) of mineral nitrogen fertilizers (NF) on the yield of winter wheat grain using yield maps. VRA NF technologies represent a wide range of procedures and processes that are a part of precision farming. The technologies are used to optimize the applied NF dose in order to fertilize high-yield crops with regard to their nutritional needs and the condition of the land where they are located. VRA NF on winter wheat fields were made based on application maps that were prepared in a SatAgro system. All application maps were prepared based on spectral analysis of satellite images (Sentinel 2, SPOT) taken maximum 5 days before the scheduled application. The selected application maps contained at least one 60 m long control strip where the UNI application of NF was implemented. VRA NF was used for production and qualitative fertilization of winter wheat. The yield principle was used for both applications, i.e. the highest doses of NF were applied to those parts of the land where the vegetation was the most abundant and vice versa. The hypothesis was that weak parts of the crop are not able to withdraw the same amount of N as the stronger ones. The variability in the NF dose between zones was 30%. The field experiment was established in Spearhead Czech Ltd., where selected VRA technologies were used for approximately 5,000 ha in 2018. The main parameters for the assessment of VRA NF effect were grain yield (GY) and grain quality (gluten and N-compounds content). GY was detected using yield maps which are based on harvester data and calibrated according to total yield weight. In all years of the experiment, a significant positive effect (LSD, at level of significance P &lt; 0.05) of VRA NF on grain yield was found. The difference in yield when comparing UNI and VRA technology has always been minimum 6% in favor of VRA. Grain quality was at a similar level in both variants, no negative effect of VRA technology on gluten and N-compounds content was found.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

40101 - Agriculture

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

SGEM2019. Informatics, Geoinformatics and Remote Sensing: Conference Proceedings

ISBN

978-619-7408-80-5

ISSN

1314-2704

e-ISSN

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Number of pages

8

Pages from-to

823-830

Publisher name

STEF92 Technology Ltd.

Place of publication

Sofie

Event location

Albena

Event date

Jun 30, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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