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Fig 1.

Relationships between grain yield and panicles number (a), spikelets per panicle (b), grain weight (c), and grain filling (d) in HHZ and YNSM.

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Table 1.

Grain yield and yield components of two inbred rice varieties under different nitrogen and sowing density treatments in 2017 and 2018.

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Table 2.

Analysis of variance (ANOVA) of the F-values for panicle number, spikelet per panicle, grain filling, grain weight, and grain yield.

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Table 2 Expand

Fig 2.

Dynamic root morphological traits of two inbred rice varieties under different nitrogen and sowing density treatments at N0 treatment (a, d, g, j), LN treatment (b, e, h, k), and HN treatment (c, f, i, l).

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Fig 3.

Root spatial distribution (0–30 cm soil layer) of two inbred varieties under N treatments and sowing treatment at flowering stage in HHZ (a, c, e, g) and YNSM (b, d, f, h).

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Table 3.

Aboveground total dry weight (TDW) at maturity and harvest index of two inbred rice varieties under different nitrogen and sowing density treatments in 2017 and 2018.

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Table 4.

Carbon and nitrogen contents in stems and leaves of two inbred rice varieties under different nitrogen and sowing density treatments.

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Fig 4.

Agronomic efficiency (AE) (a) and partial factor productivity (PFPN) (b) relative to N application rate and sowing density in inbred rice. Within a column, means followed by the same letters are not significantly different according to LSD (0.05).

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Fig 4 Expand

Table 5.

Correlation coefficients (r) between root morphological characteristics and grain yield, dry matter accumulation, and carbon and nitrogen contents.

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Table 5 Expand