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Fig. 8 | Plant Methods

Fig. 8

From: Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform

Fig. 8

Exploring the distribution patterns of sample and phenotypic components in clusters. ae The weight vector was visualized as a fan diagram to indicate the weight of each phenotypic component in a neuron. f Taking IS_flowering as an example, the phenotypic component patterns within clusters were identified to reveal the effect of co-expressed genotypes. The intersection of cluster 3 and the IS_flowering.N set gave 116 samples, which indicated that none of the samples in Cluster 3 were tasseling and flowering, accounting for 100% of the samples. This was shown with a striking color to distinguish between unrecognized patterns. The initial letter “Z” indicated that this variable was standardized

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