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. 2023 Mar 10;136(3):34. doi: 10.1007/s00122-023-04264-7

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© The Author(s) 2023

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 3 — Three r-network of yield, P_i,yield and 90 physiological parameters from three different sampled populations of genotype (a–c, N_gen = 100) grown under 9000 environments (SPE = 1). Nodes (circle) represent mean yield (purple), P_i,yield (blue) or physiological parameters (yellow). Correlation between two nodes presents as a line (edge), which’s width is proportional to the absolute value of Pearson correlation coefficient (|r|). Green and red lines mark positive and negative r value, respectively. Nodes are shown with connected edge when |r| > 0.33. d Comparison of r-vector (Supplementary Fig. S2c) from a–c. Colour and shape stand for the combination of networks. Grey dashed line stands for the 1:1 line. Description of physiological parameters: water content of grain (grn_water_cont), number of grains that are set depending on the stem dry weight (grain_per_gram_stem), efficiency of roots to extract soil water (ll_modifier), rate of node senescence on main stem (node_sen_rate), potential rate of grain growth at grain filling (potential_grain_filling_rate), sensitivity to photoperiod (photop_sens), soil water effect on biomass accumulation (sfac_slope), transpiration efficient (transp_eff_cf), temperature effect on biomass accumulation (tfac_slope), water availability affecting the stress factor for root depth growth (x_sw_ratio), fraction of dry matter allocated to rachis for specific stages (y_frac_leaf), radiation use efficiency (y_rue), potential leaf specific area (y_sla), Extinction coefficient of green leaves as a response to row spacing (y_extinct_coef) (colour figure online)