Near infrared spectroscopy (NIR) and chemometrics methods to identification of haploids in maize

[Display omitted] •The doubled haploid technology is used in maize to reduce the time to obtain homozygous lines.•The method most used for identification of haploid seeds is visual analysis.•The expression of the R1-nj gene may vary among different genotypes, which reduces the visual analysis accura...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Microchemical journal 2023-07, Vol.190, p.108604, Article 108604
Hauptverfasser: Rodrigues Ribeiro, Mariana, Lúcia Ferreira Simeone, Maria, dos Santos Trindade, Roberto, Antônio dos Santos Dias, Luiz, José Moreira Guimarães, Lauro, Salete Tibola, Casiane, Cristina de Azevedo, Tácila
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:[Display omitted] •The doubled haploid technology is used in maize to reduce the time to obtain homozygous lines.•The method most used for identification of haploid seeds is visual analysis.•The expression of the R1-nj gene may vary among different genotypes, which reduces the visual analysis accuracy.•NIR together with multivariate methods, is an alternative for identification of haploids in maize.•The NIR analysis associated with PLS-DA model shows 100% performance in haploids selection. Haploids in maize are selected through visual analysis, whether by use of expression of the R1-navajo marker in seeds, or by the phenotype of haploid plants in the field. These methods of identification of haploid plants demand space, resources, and time. Near infrared spectroscopy (NIR), together with multivariate calibration methods, is an alternative for identification of haploid seeds and plants in a quick and accurate way. The aim of the present study was to use NIR to classify haploid and diploid seeds and differentiate haploid, doubled haploid, and diploid plants originating from different genotypes used as donor. In the first experiment, haploid and diploid maize seeds were analyzed from four genotypes used as parents. In another experiment, diploid, haploid, and doubled haploid plants from 34 source populations were evaluated and differentiated. Spectral data were collected from all the seed and leaf samples using the portable MicroNIR device. Then the data were pre-processed by principal component analysis and by partial least squares discriminant analysis (PLS-DA). The use of the portable MicroNIR, together with the PLS-DA method, enabled classification of haploid and diploid seeds and haploid, doubled haploid, and diploid plants with 100% accuracy, constituting a fast, simple, non-destructive, and reliable methodology for identification of haploids in maize, and it is more effective than the visual analysis.
ISSN:0026-265X
1095-9149
DOI:10.1016/j.microc.2023.108604