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Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping.

Rebolledo MC, Dingkuhn M, Courtois B, Gibon Y, Clément-Vidal A, Cruz DF, Duitama J, Lorieux M, Luquet D - J. Exp. Bot. (2015)

Bottom Line: Associations for NSC and model parameters revealed new regions related to early vigour that had greater significance than morphological traits, providing additional information on the genetic control of early vigour.Twelve associations were related to loci for cloned genes, with nine related to organogenesis, plant height, cell size or cell number.The potential use of these associations as markers for breeding is discussed.

View Article: PubMed Central - PubMed

Affiliation: CIAT, Agrobiodiversity, AA 6713, Cali, Colombia m.c.rebolledo@cgiar.org.

No MeSH data available.


Histogram of the distribution of morphological traits (A, B, C: DR, LLL, NBT), non-structural carbohydrates (D, E, F: SUC, FRU, STA), and ecomeristem model parameters (G, H, I: MGR, PLASTO, ICT) (all defined in Table 1) measured in the japonica rice diversity panel of 123 accessions.
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Figure 1: Histogram of the distribution of morphological traits (A, B, C: DR, LLL, NBT), non-structural carbohydrates (D, E, F: SUC, FRU, STA), and ecomeristem model parameters (G, H, I: MGR, PLASTO, ICT) (all defined in Table 1) measured in the japonica rice diversity panel of 123 accessions.

Mentions: Figure 1 shows the distribution of a wide range of values found in the diversity panel for key traits. The observed variables DR, LLL, and NBT (Fig. 1A, B, C, respectively) were normally distributed. Among the NSC concentrations in source leaves (Fig. 1D, E, F), SUC showed a comparatively narrow band of relative variation (factor 2), whereas FRU concentration varied from 2 to 20mg g–1 (factor 5) and starch from 0 to 50mg g–1 on a dry weight basis. The distributions of genotypic model parameters (Fig. 1G, H, I) were normal with a generally smaller relative range of variation: MGR from 7 to 14cm, PLASTO from 50 to 85 °Cd, and ICT from 0.8 to 1.8. The distribution of other traits can be found in Supplementary Fig. S1 at JXB online. To identify the relation between traits, a Multiple Factorial Analysis (MFA, Fig. 2) was performed using the variables listed in Table 1. Supplementary Table S2 at JXB online shows the corresponding matrix of correlation. Two dimensions explained 43% of the phenotypic diversity (Fig. 2). Dimension 1 (explaining 26%) combined effects of RGR and DR (positive) and DEV_PLASTO_MGR and PLASTO (negative). RGR, the relative growth rate which was also associated with SDW, clustered with variables related to organ number (DR, NBL, and NBT). The correlations between RGR and SDW versus variables related to organ number were significant (P <0.01) (see Supplementary Table S2 at JXB online). Regarding the NSC traits, SUC was the only variable having an effect in Dimension 1 (positive). This was associated with a significant positive correlation (P <0.01) between SUC and both DR and SDW (see Supplementary Table S2 at JXB online).


Phenotypic and genetic dissection of component traits for early vigour in rice using plant growth modelling, sugar content analyses and association mapping.

Rebolledo MC, Dingkuhn M, Courtois B, Gibon Y, Clément-Vidal A, Cruz DF, Duitama J, Lorieux M, Luquet D - J. Exp. Bot. (2015)

Histogram of the distribution of morphological traits (A, B, C: DR, LLL, NBT), non-structural carbohydrates (D, E, F: SUC, FRU, STA), and ecomeristem model parameters (G, H, I: MGR, PLASTO, ICT) (all defined in Table 1) measured in the japonica rice diversity panel of 123 accessions.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4585419&req=5

Figure 1: Histogram of the distribution of morphological traits (A, B, C: DR, LLL, NBT), non-structural carbohydrates (D, E, F: SUC, FRU, STA), and ecomeristem model parameters (G, H, I: MGR, PLASTO, ICT) (all defined in Table 1) measured in the japonica rice diversity panel of 123 accessions.
Mentions: Figure 1 shows the distribution of a wide range of values found in the diversity panel for key traits. The observed variables DR, LLL, and NBT (Fig. 1A, B, C, respectively) were normally distributed. Among the NSC concentrations in source leaves (Fig. 1D, E, F), SUC showed a comparatively narrow band of relative variation (factor 2), whereas FRU concentration varied from 2 to 20mg g–1 (factor 5) and starch from 0 to 50mg g–1 on a dry weight basis. The distributions of genotypic model parameters (Fig. 1G, H, I) were normal with a generally smaller relative range of variation: MGR from 7 to 14cm, PLASTO from 50 to 85 °Cd, and ICT from 0.8 to 1.8. The distribution of other traits can be found in Supplementary Fig. S1 at JXB online. To identify the relation between traits, a Multiple Factorial Analysis (MFA, Fig. 2) was performed using the variables listed in Table 1. Supplementary Table S2 at JXB online shows the corresponding matrix of correlation. Two dimensions explained 43% of the phenotypic diversity (Fig. 2). Dimension 1 (explaining 26%) combined effects of RGR and DR (positive) and DEV_PLASTO_MGR and PLASTO (negative). RGR, the relative growth rate which was also associated with SDW, clustered with variables related to organ number (DR, NBL, and NBT). The correlations between RGR and SDW versus variables related to organ number were significant (P <0.01) (see Supplementary Table S2 at JXB online). Regarding the NSC traits, SUC was the only variable having an effect in Dimension 1 (positive). This was associated with a significant positive correlation (P <0.01) between SUC and both DR and SDW (see Supplementary Table S2 at JXB online).

Bottom Line: Associations for NSC and model parameters revealed new regions related to early vigour that had greater significance than morphological traits, providing additional information on the genetic control of early vigour.Twelve associations were related to loci for cloned genes, with nine related to organogenesis, plant height, cell size or cell number.The potential use of these associations as markers for breeding is discussed.

View Article: PubMed Central - PubMed

Affiliation: CIAT, Agrobiodiversity, AA 6713, Cali, Colombia m.c.rebolledo@cgiar.org.

No MeSH data available.