Physiological quality in maize seeds using conventional methods and NIR spectroscopy

Autores/as

DOI:

https://doi.org/10.18227/1982-8470ragro.v17i00.7403

Palabras clave:

Intact seed. Seed analysis. Vigour testing. Zea mays.

Resumen

Maize is one of the most important cereals, and stands out for its wide genetic diversity, adaptation to the most diverse climate conditions, and being, both directly and indirectly, the most basic food source of man. Globally, production is dependent on seed quality. Known methodologies for evaluating seed quality require improvement in developing technologies capable of achieving, in less time, results for the targets under evaluation. The aim of this study, therefore, was to compare conventional vigour testing with the ability of NIR technology to classify the physiological quality of maize seeds, cv. DKB-290-HS. For the experiment, which was conducted in a completely randomised design (CRD), six Batches of 200 seeds were used, with four replications. Conventional methods of evaluating seed vigour were used in the study. For the evaluation using the near-infrared (NIR) method, the seeds were placed with the embryo facing the source of electromagnetic waves. The resulting spectra were analysed by the Pirouette software using the PLS-DA method. The conventional methods for vigour, and the NIR technique both efficiently detected the levels of physiological quality. NIR also revealed the differences between Batches, classifying the physiological quality of maize seeds, cv. DKB-290-HS, into different levels quickly and efficiently.

Biografía del autor/a

Richard Molina Molina Alvarez, Maria Rosa Irene Alvarez Sigcha

Doutorando do Programa de Pós-Graduação em Agronomia, POSAGRO/UFRR, Boa Vista, Roraima, Brasil.

Sandra Catia Pereira Uchoa

Professora Titular da Universidade Federal de Roraima, POSAGRO/UFRR, Boa Vista, RR, Brasil.

Gabriel Castanheira Guimarães

Pesquisador Associado, Departamento de Agricultura, Universidade Federal de Lavras, Minas Gerais, Brasil.

Daniel Augusto Schurt

Pesquisador da Embrapa, Boa Vista, Roraima.

Sonicley da Silva Maia

Doutorando do Programa de Pós-Graduação em Agronomia, POSAGRO/UFRR, Boa Vista, Roraima, Brasil.

Natalia Vieria de Sousa

Mestranda do Programa de Pós-Graduação em Agronomia, POSAGRO/UFRR, Boa Vista, Roraima, Brasil.

Hilda Beatríz Quevedo Andino

Eng. Agrônoma. Sector San Felipe, Latacunga - Ecuador.

Publicado

12/04/2023

Número

Sección

Original Scientific Article