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This study aims to assess the effectiveness of multispectral images for indirect selection of superior wheat families in breeding programs.

April 10, 2026Agronomy JournalOpen Access

Indirect selection based on multispectral aerial images in the early stages of a wheat breeding program

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Evaluates indirect selection of wheat families using multispectral images, highlighting the implications for breeding enhancement.

This study aims to assess the effectiveness of multispectral images for indirect selection of superior wheat families in breeding programs.
Evaluated 852 wheat families in the F 2:4 generation under an augmented block design.
Collected multispectral images using a drone at three timepoints: heading, and 15 and 30 days later.
Performed selection via multitrait genotype‐ideotype distance index (MGIDI).
Employed receiver operating characteristic (ROC) analysis to evaluate classification performance.
At the heading stage, certain spectral bands (red, green, blue, and NIR) provided satisfactory classification performance with area under curve values up to 0.70.
NIR band offered 18% of the selection gain compared to MGIDI index.
Multispectral data, particularly from the heading stage, were useful for identifying superior wheat families.

Ribeiro et al. (2026) studied this question.

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