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Genotype × trait biplot and canonical correlations for spectral and agronomic traits in corn

Santana, Dthenifer Cordeiro, Flores, Marcela da Silva, Cotrim, Mayara Favero, Rodrigues, Erina Vitório, Santos, Adriano dos, Teodoro, Larissa Pereira Ribeiro, Baio, Fabio Henrique Rojo, Silva Junior, Carlos Antonio da, Teodoro, Paulo Eduardo·2021·Agronomy Journal

Abstract

The current challenge of corn (Zea mays L.) crops is to reach high yield to supply the world's demand for food, especially under different fertilization regimes and using the latest technology. We hypothesized that wavelengths and vegetation indices have a linear relationship with agronomic variables in corn. Our objectives were to verify the formation of super‐traits and to study the association between wavelengths and vegetation indices with agronomic traits in corn cultivated under high and low topdressing N. The experiments were carried out in two crop seasons using a randomized block design with three replicates in a factorial scheme (11 genotypes × 2 contrasting levels of N: low, 60 kg ha–1 and high, 180 kg ha–1). At full bloom, the spectral variables green (550 nm), red (660 nm), red‐edge (735 nm), and near‐infrared (790 nm) and the vegetation indices normalized difference vegetation index (NDVI), normalized difference red‐edge index (NDRE), green normalized difference vegetation index (GNDVI), and soil‐adjusted vegetation index (SAVI) were evaluated. Agronomic traits evaluated were leaf N, plant height, first pod height, stem diameter, cob length, rows per cob, grains per row, and grain yield. Results showed that SAVI, GNDVI, NDVI, and NDRE and red‐edge and red were associated with agronomic traits in corn. The association between the agronomic traits evaluated here can be used to estimate the leaf N content and corn yield.

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Metadata

Authors
Santana, D. C., Flores, M. D. S., Cotrim, M. F., Rodrigues, E. V., Santos, A. D., Teodoro, L. P. R., Baio, F. H. R., Silva Junior, C. A. D., & Teodoro, P. E.
Affiliations
  • Univ. Estadual de Mato Grosso do Sul (UEMS) Aquidauna MS 79200‐000 Brazil
  • Univ. Federal de Mato Grosso do Sul (UFMS) Chapadão do Sul MS 79560‐000 Brazil
  • Univ. Estadual Paulista (UNESP) Ilha Solteira SP 15385‐000 Brazil
  • Univ. de Brasília (UnB) Brasília DF 73345010 Brasil
  • A&E Análises Estatísticas e Consultoria Brasília DF 73345010 Brazil
  • Univ. do Estado do Mato Grosso (UNEMAT) Sinop, Montana,78555‐000 Brazil
Venue
Agronomy Journal
Publisher
Wiley
Published
2021-03
Volume
113
Issue
2
Pages
1197-1204
ISSN
  • 0002-1962
  • 1435-0645
Cited by
14
References
0
Language
en

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