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Intensive field phenotyping of maize (Zea mays L.) root crowns identifies phenes and phene integration associated with plant growth and nitrogen acquisition.

York LM, Lynch JP - J. Exp. Bot. (2015)

Bottom Line: Root phenes from both older and younger whorls of nodal roots contributed to variation in shoot mass and N uptake.The additive integration of root phenes accounted for 70% of the variation observed in shoot mass in low N soil.These results demonstrate the utility of intensive phenotyping of mature root systems, as well as the importance of phene integration in soil resource acquisition.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA Ecology Graduate Program, The Pennsylvania State University, University Park, PA 16802, USA.

No MeSH data available.


Principal component analysis of root architectural phenes conducted on data averaged across the four replicates for each nitrogen level, maize genotype, and node position combination for SA (A) and the USA (B). Points represent the scores of principal components 1 and 2 (PC1 and PC2) for each nitrogen level, maize genotype, and node position combination. Labelled lines demonstrate the correlation of phene values to principal component scores (maximum correlation, 0.951, SA; 0.952, USA). Abbreviations are as given in Table 1.
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Figure 4: Principal component analysis of root architectural phenes conducted on data averaged across the four replicates for each nitrogen level, maize genotype, and node position combination for SA (A) and the USA (B). Points represent the scores of principal components 1 and 2 (PC1 and PC2) for each nitrogen level, maize genotype, and node position combination. Labelled lines demonstrate the correlation of phene values to principal component scores (maximum correlation, 0.951, SA; 0.952, USA). Abbreviations are as given in Table 1.

Mentions: PCA of the average phene values for N level, genotype, and node position combinations in South Africa revealed two principal components, PC1 and PC2, that explained 60% and 16% of the total variation, respectively (Fig. 4A). In the USA, PC1 and PC2 explained 49% and 21% of the total variation (Fig. 4B). In both experimental sites, PC1 was greatly influenced by nodal root diameter and nodal occupancy, but in South Africa lateral root length and stem width also contributed. In South Africa, PC2 was primarily influenced by distance to branching, lateral root branching density, and nodal root growth angle. PC2 was dependent on nodal root growth angle only in the USA. At both sites, the scores of PC1 were heavily dependent on node position, where younger whorls had greater PC1 scores. Correlational analysis supports the structure of these components, where nodal root diameter, lateral root length, stem width, and nodal occupancy were strongly correlated with each other and with the node position in South Africa (Supplementary Fig. S11 at JXB online).


Intensive field phenotyping of maize (Zea mays L.) root crowns identifies phenes and phene integration associated with plant growth and nitrogen acquisition.

York LM, Lynch JP - J. Exp. Bot. (2015)

Principal component analysis of root architectural phenes conducted on data averaged across the four replicates for each nitrogen level, maize genotype, and node position combination for SA (A) and the USA (B). Points represent the scores of principal components 1 and 2 (PC1 and PC2) for each nitrogen level, maize genotype, and node position combination. Labelled lines demonstrate the correlation of phene values to principal component scores (maximum correlation, 0.951, SA; 0.952, USA). Abbreviations are as given in Table 1.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
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getmorefigures.php?uid=PMC4585417&req=5

Figure 4: Principal component analysis of root architectural phenes conducted on data averaged across the four replicates for each nitrogen level, maize genotype, and node position combination for SA (A) and the USA (B). Points represent the scores of principal components 1 and 2 (PC1 and PC2) for each nitrogen level, maize genotype, and node position combination. Labelled lines demonstrate the correlation of phene values to principal component scores (maximum correlation, 0.951, SA; 0.952, USA). Abbreviations are as given in Table 1.
Mentions: PCA of the average phene values for N level, genotype, and node position combinations in South Africa revealed two principal components, PC1 and PC2, that explained 60% and 16% of the total variation, respectively (Fig. 4A). In the USA, PC1 and PC2 explained 49% and 21% of the total variation (Fig. 4B). In both experimental sites, PC1 was greatly influenced by nodal root diameter and nodal occupancy, but in South Africa lateral root length and stem width also contributed. In South Africa, PC2 was primarily influenced by distance to branching, lateral root branching density, and nodal root growth angle. PC2 was dependent on nodal root growth angle only in the USA. At both sites, the scores of PC1 were heavily dependent on node position, where younger whorls had greater PC1 scores. Correlational analysis supports the structure of these components, where nodal root diameter, lateral root length, stem width, and nodal occupancy were strongly correlated with each other and with the node position in South Africa (Supplementary Fig. S11 at JXB online).

Bottom Line: Root phenes from both older and younger whorls of nodal roots contributed to variation in shoot mass and N uptake.The additive integration of root phenes accounted for 70% of the variation observed in shoot mass in low N soil.These results demonstrate the utility of intensive phenotyping of mature root systems, as well as the importance of phene integration in soil resource acquisition.

View Article: PubMed Central - PubMed

Affiliation: Department of Plant Science, The Pennsylvania State University, University Park, PA 16802, USA Ecology Graduate Program, The Pennsylvania State University, University Park, PA 16802, USA.

No MeSH data available.