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Normalized difference vegetation index, ${\bf N} - {\bf NO}_3^ - $ and K+ in stem sap of potato plants (Group Andigenum) as affected by fertilization

Published online by Cambridge University Press:  28 February 2019

Manuel Iván Gómez ,
Andrea Barragán ,
Stanislav Magnitskiy Open the ORCID record for Stanislav Magnitskiy [Opens in a new window]  and
Luis Ernesto Rodríguez
Manuel Iván Gómez
Affiliation:
Faculty of Agricultural Sciences, National University of Colombia, Bogotá 111321, Colombia
Andrea Barragán
Affiliation:
Faculty of Agricultural Sciences, National University of Colombia, Bogotá 111321, Colombia Ingeplant SAS, Bogotá 250040, Colombia
Stanislav Magnitskiy*
Affiliation:
Faculty of Agricultural Sciences, National University of Colombia, Bogotá 111321, Colombia
Luis Ernesto Rodríguez
Affiliation:
Faculty of Agricultural Sciences, National University of Colombia, Bogotá 111321, Colombia
*
*Corresponding author. Email: svmagnitskiy@unal.edu.co
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Abstract

Remote sensors permit forecasting the nutrient status and yields in crops of economic importance in Colombia. The objective of this study was to determine the relationships between normalized difference vegetation index (NDVI) and yield as well as concentrations of ${\rm {N - NO}}_3^ - $ and K+ in stem sap of potato cultivars Diacol Capiro and Pastusa Suprema (Solanum tuberosum L., Group Andigenum) in relation to different fertilizer rates. Increasing doses (0, 1450, 1900 and 2375 kg ha–1) of macro- and micronutrient fertilizers were applied to determine NDVI behavior at 55, 75, 100, 125 and 150 days after planting. For Capiro, significant differences in NDVI readings (0.84–0.88) were found between phenological stages. In both cultivars, NDVI correlated positively with yield and K+ concentrations in stem sap during tuber filling and maturation, while in Capiro no correlation was established between NDVI values and ${\rm {N - NO}}_3^ - $ concentrations in stem sap. The NDVI readings could be used to forecast productivity and K status in potato Group Andigenum.

Keywords

Reflectance indexRemote sensingSap analysisSolanaceae

Information

Type
Research Article
Information
Experimental Agriculture , Volume 55 , Issue 6 , December 2019 , pp. 945 - 955
Copyright
© Cambridge University Press 2019 

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Footnotes

†

The original version of this article was published with the incorrect institutional affiliation. A notice detailing this has been published and the error rectified in the online and print PDF and HTML copies.

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