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. 2023 Jan 31;14:1087285. doi: 10.3389/fpls.2023.1087285

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Copyright © 2023 Tan, Chen, Gan, Lu, Yan, Chen, Lin, Yang, Zhao, Ba, Zhu, Bu, Liu, Liu, Wang and Zhang

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Regression correlations between stigma shape and SER, and grain shape and SER. (A-C), Correlations between stigma length and SER (A), stigma width and SER (B), and stigma RLW and SER (C). (D-F), Correlations between grain length and SER (D), grain width and SER (E), and grain RLW and SER (F). The average value of each line in two cropping seasons is used to perform statistical analysis. R² represents the percentage of x contribution to y phenotype variation. SER, stigma exsertion rate. RLW, ratio of length to width.