Phenotyping for Drought Tolerance in Different Wheat Genotypes Using Spectral and Fluorescence Sensors.

Abstract

The wheat planted at the end of the rainy season in the Cerrado suffers from a strong water deficit. A selection of genetic material with drought tolerance is necessary. In improvement programs that evaluate a large number of materials, efficient, automated, and non-destructive phenotyping is essential, which requires the use of sensors. The experiment was conducted in 2016 using a phenotyping platform, where irrigation gradients ranging from 184 (WR4) to 601 mm (WR1) were created, allowing for the comparison of four genotypes. In addition to productivity, we evaluated plant height, hectoliter weight, the number of spikes per square meter, ear length, photosynthesis, and the indices calculated by the sensors. For most morphophysiological parameters, extreme stress makes it difficult to discriminate materials. WR1 (601 mm) and WR2 (501 mm) showed similar trends in almost all variables. The data validated the phenotyping platform, which creates an irrigation gradient, considering that the results obtained, in general, were proportional to the water levels. The similar trend between sensors (NDVI, PRI, and LIFT) and morphophysiological, plant growth, and crop yield evaluations validated the use of sensors as a tool in selecting drought-tolerant wheat genotypes using a non-invasive methodology. Considering that only four genotypes were used, none showed absolute and unequivocal tolerance to drought; however, each genotype exhibited some desirable characteristics related to drought tolerance mechanisms.

Plant phenotyping relevance

センサーを用いた非破壊フェノタイピングと灌漑勾配プラットフォームを検証し、センサー指標と植物形質・収量を比較しているため、方法が中心的である。

Code and data availability

The supplied blocks contain no data availability statement, no public phenotype/trait dataset, no sensor images or annotation inputs, and no author analysis code or trained models. The only URLs present are the article DOI/CC license and two cited external references (Embrapa irrigation monitoring program and Brazilian

No evidence-backed public reproduction asset is currently recorded.