Chin J Plan Ecolo ›› 2015, Vol. 39 ›› Issue (12): 1188-1197.DOI: 10.17521/cjpe.2015.0115
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CHEN Qing-Qing1, LI De-Zhi1,2,3,*()
Online:
2015-12-01
Published:
2015-12-31
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De-Zhi LI
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# Co-first authors
CHEN Qing-Qing,LI De-Zhi. Kin recognition in Setaria italica under the condition of root segregation[J]. Chin J Plan Ecolo, 2015, 39(12): 1188-1197.
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URL: https://www.plant-ecology.com/EN/10.17521/cjpe.2015.0115
Fig. 1 Diagram of experimental design. Blank box, kin group; Vertical bars box, non-kin group; Stripes box, stranger group. H, high soil nutrient level; L, low soil nutrient level. 10 and 16.7, plant spacing (cm). A, mixed seeds of Setaria italica; B, mixed seed of Panicum miliaceum.
变异来源 Source of variation | df | STB | LBA | SBA | RBA | H | EL | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | P | F | P | F | P | F | P | F | P | F | P | |||||||
D | 1 | 129.80 | 0.000 | 0.32 | 0.573 | 15.66 | 0.000 | 12.15 | 0.001 | 13.98 | 0.000 | 5.42 | 0.022 | |||||
SN | 1 | 12.74 | 0.001 | 7.61 | 0.007 | 43.24 | 0.000 | 5.48 | 0.022 | 0.02 | 0.878 | 47.99 | 0.000 | |||||
NI | 2 | 10.82 | 0.000 | 5.76 | 0.004 | 4.53 | 0.013 | 0.19 | 0.828 | 5.54 | 0.005 | 0.32 | 0.725 | |||||
D × SN | 1 | 0.04 | 0.850 | 0.40 | 0.530 | 3.03 | 0.084 | 0.01 | 0.920 | 12.29 | 0.001 | 4.49 | 0.036 | |||||
D × NI | 2 | 3.53 | 0.032 | 4.15 | 0.018 | 0.68 | 0.508 | 0.20 | 0.817 | 2.42 | 0.093 | 0.84 | 0.432 | |||||
SN × NI | 2 | 0.35 | 0.708 | 6.72 | 0.002 | 1.76 | 0.176 | 0.97 | 0.382 | 2.59 | 0.079 | 4.76 | 0.010 | |||||
D × SN × NI | 2 | 0.19 | 0.828 | 3.63 | 0.029 | 2.27 | 0.107 | 0.40 | 0.669 | 1.75 | 0.177 | 3.78 | 0.026 | |||||
STB | 1 | 195.88 | 0.000 | 54.96 | 0.000 | 64.39 | 0.000 | 161.32 | 0.000 | 12.61 | 0.001 |
Table 1 Analysis of covariance (using stem biomass as a covariate) for the morphology and biomass allocation of Setaria italica in response to neighbor identity (kin, non-kin or stranger neighbors) and its interaction with plant density (high or low) and soil nutrient level (high or low)
变异来源 Source of variation | df | STB | LBA | SBA | RBA | H | EL | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
F | P | F | P | F | P | F | P | F | P | F | P | |||||||
D | 1 | 129.80 | 0.000 | 0.32 | 0.573 | 15.66 | 0.000 | 12.15 | 0.001 | 13.98 | 0.000 | 5.42 | 0.022 | |||||
SN | 1 | 12.74 | 0.001 | 7.61 | 0.007 | 43.24 | 0.000 | 5.48 | 0.022 | 0.02 | 0.878 | 47.99 | 0.000 | |||||
NI | 2 | 10.82 | 0.000 | 5.76 | 0.004 | 4.53 | 0.013 | 0.19 | 0.828 | 5.54 | 0.005 | 0.32 | 0.725 | |||||
D × SN | 1 | 0.04 | 0.850 | 0.40 | 0.530 | 3.03 | 0.084 | 0.01 | 0.920 | 12.29 | 0.001 | 4.49 | 0.036 | |||||
D × NI | 2 | 3.53 | 0.032 | 4.15 | 0.018 | 0.68 | 0.508 | 0.20 | 0.817 | 2.42 | 0.093 | 0.84 | 0.432 | |||||
SN × NI | 2 | 0.35 | 0.708 | 6.72 | 0.002 | 1.76 | 0.176 | 0.97 | 0.382 | 2.59 | 0.079 | 4.76 | 0.010 | |||||
D × SN × NI | 2 | 0.19 | 0.828 | 3.63 | 0.029 | 2.27 | 0.107 | 0.40 | 0.669 | 1.75 | 0.177 | 3.78 | 0.026 | |||||
STB | 1 | 195.88 | 0.000 | 54.96 | 0.000 | 64.39 | 0.000 | 161.32 | 0.000 | 12.61 | 0.001 |
Fig. 2 Effects of neighbor identity on the morphology and biomass allocation of Setaria italica (mean ± SE). The traits (except for stem biomass) were predicted from the models with stem biomass as a covariate, by which the effects of the differences of stem biomass on trait means were accounted for. Different letters indicated significant differences among different treatments (p < 0.05, LSD).
Fig. 3 Interaction effects of neighbor identity and plant density on the morphology and biomass allocation of Setaria italica (mean ± SE). The traits (except for stem biomass) were predicted from the models with stem biomass as a covariate, by which the effects of the differences of stem biomass on the trait means were accounted for. Different letters indicated significant differences among different treatments (p < 0.05, LSD).
Fig. 4 Interaction effects of neighbor identity and soil nutrient level on the morphology and biomass allocation of Setaria italica (mean ± SE). The traits (except for stem biomass) were predicted from the models with stem biomass as a covariate, by which the effects of the differences of stem biomass on trait means were accounted for. Different letters indicated significant differences among different treatments (p < 0.05, LSD).
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