Nondestructive Phenomic Tools for the Prediction of Heat and Drought Tolerance at Anthesis in Brassica Species.

Abstract

Oilseed Brassica species are vulnerable to heat and drought stress, especially in the early reproductive stage. We evaluated plant imaging of whole plant and flower tissue, leaf stomatal conductance, leaf and bud temperature, photochemical reflectance index, quantum yield of photosynthesis, and leaf gas exchange for their suitability to detect tolerance to heat (H) and/or drought (D) stress treatments in 12 Brassica genotypes (G). A replicated factorial experiment was set up with 7 d of stress treatment from the beginning of anthesis with various levels of three factors H , D , and G . Most phenomics tools detected plant stress as indicated by significant main effects of H , D , and H×D . Whole plant volume was highly correlated with fresh weight changes, suggesting that whole plant imaging may be a useful surrogate for fresh weight in future studies. Vc max , the maximum carboxylation rate of photosynthesis, increased rapidly on day 1 in H and H+D treatments, and there were significant interactions of G×H and G×D . Vc max of genotypes on day 1 in H and H+D treatments was positively correlated with their harvested seed yield. Vc max on day 1 and day 3 were clustered with seed yield in H and H+D treatments as shown in the heatmaps of genotypic correlations. TPU, the rate of triose phosphate use, also showed significant positive genotypic correlations with seed yield in H+D treatments. Flower volume showed significant interactions of G×H and G×D on day 7, and flower volume of genotypes on day 7 in H was positively correlated with their harvested seed yield. There were few interactions of G×H or G×D for leaf stomatal conductance, leaf and bud temperature, photochemical reflectance index, and quantum yield of photosynthesis. Vc max , TPU, and volume of flowers are potential nondestructive phenomic traits for heat or combined heat and drought stress tolerance screening in Brassica germplasm.

Plant phenotyping relevance

熱・乾燥耐性スクリーニングに用いる複数のフェノミクス測定法を比較評価し、画像由来の体積や生理形質の有用性を検証しているため、方法が研究の中心です。

Code and data availability

The article describes plant-imaging and gas-exchange phenotyping of 12 Brassica genotypes, but no public dataset, image collection, analysis code, or trained model is deposited. The only code-adjacent mention is the generic R package superheat used for heatmaps, which is a third-party library, not an authors' paper- or

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