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Relationship between vegetation indices and agronomic performance of maize varieties under different nitrogen rates
Author(s) -
Marcela da Silva Flores,
Willian Meniti Paschoalete,
Fábio Henrique Rojo Baio,
Cid Naudi Silva Campos,
Ariane de Andréa Pantaleão,
Larissa Pereira Ribeiro Teodoro,
Carlos Antônio da Silva Júnior,
Paulo Eduardo Teodoro
Publication year - 2020
Publication title -
bioscience journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 19
eISSN - 1981-3163
pISSN - 1516-3725
DOI - 10.14393/bj-v36n5a2020-47993
Subject(s) - normalized difference vegetation index , randomized block design , vegetation (pathology) , crop , agronomy , mathematics , growing season , vegetation index , yield (engineering) , leaf area index , biology , medicine , materials science , pathology , metallurgy
Precision agriculture is a set of techniques that assist the monitoring of the agronomic performance of the maize crop by using vegetation indices. This study aimed to verify the relationship between vegetation indices, plant height, leaf N content, and grain yield of three maize varieties, grown under high and low N as topdressing. The experiment was carried out at the Fundação de Apoio à Pesquisa Agropecuária de Chapadão (Fundação Chapadão), located in the municipality of Chapadão do Sul, during the 2017/2018 season. The experiment consisted of a randomized block design with four replications, arranged in a 3x2 split-plot scheme. The first factor (plots) corresponded to three open-pollinated maize varieties (BRS 4103, BRS Gorotuba, and SCS 154), and the second factor (subplots) consisted of two N rates applied as topdressing (80 and 160 kg- 1). All the evaluated variables showed varieties x N interaction. Vegetation indices in maize varieties were influenced by the N rate applied as topdressing. Normalized Difference Vegetation Index (NDVI) and Soil-adjusted Vegetation Index (SAVI) showed a higher correlation with plant height. At the same time, Normalized Difference Red Edge (NDRE) had a stronger association with leaf N content.

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