Cotton N rate could be reduced further under the planting model of late sowing and high-density in Yangtze River Valley

Abstract Background An optimal N rate is one of the basic determinants for high cotton yield. The purpose of this study was to determine the optimal N rate on a new cotton cropping pattern with late-sowing, high density and one-time fertilization at first flower in Yangtze River Valley China. A 2-year experiment was conducted in 2015 and 2016 with a randomized complete blocks design, and cotton growth process, yield and biomass accumulation were examined. Results The results showed that N rate had no effect on cotton growing progress or periods. Cotton yield was increased with N rate increasing from 120–180 kg ha− 1, while the yield was not increased when N was beyond 180 kg ha− 1, or even decreased (9–29%). Cotton had the highest biomass at N180 due to its highest accumulation speed during the fast accumulation period (FAP). Conclusions The result suggests that cotton N rate could be reduced further to be 180 kg ha− 1 under the new cropping pattern in Yangtze River Valley China.

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Cotton N rate could be reduced further under the planting model of late sowing and high-density in Yangtze River Valley

10.21203/rs.3.rs-32832/v2 ◽

2020 ◽

Author(s):

xinghu song ◽

Ying Huang ◽

Yuan Yuan ◽

Shahbaz Atta Tung ◽

Biangkham Souliyanonh ◽

...

Keyword(s):

Yangtze River ◽

Growth Process ◽

Biomass Accumulation ◽

Yangtze River Valley ◽

River Valley ◽

High Density ◽

Cropping Pattern ◽

Cotton Yield ◽

Process Yield ◽

Late Sowing

Abstract Background: An optimal N rate is one of the basic determinants for high cotton yield. The purpose of this study was to determine the optimal N rate on a new cotton cropping pattern with late-sowing, high density and one-time fertilization at first flower in Yangtze River Valley China. A 2-year experiment was conducted in 2015 and 2016 with a randomized complete blocks design, and cotton growth process, yield and biomass accumulation were examined. Results: The results showed that N rate had no effect on cotton growing progress or periods. Cotton yield was increased with N rate increasing from 120-180 kg·hm-2, while the yield was not increased when N was beyond 180 kg·hm-2, or even decreased (9-29%). Cotton had the highest biomass at N180 due to its highest accumulation speed during the fast accumulation period (FAP). Conclusions: The result suggests that cotton N rate could be reduced further to be 180 kg·hm-2 under the new cropping pattern in Yangtze River Valley China.

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Cotton N rate could be reduced further under the planting model of late sowing and high-density in the Yangtze River valley

Journal of Cotton Research ◽

10.1186/s42397-020-00065-1 ◽

2020 ◽

Vol 3 (1) ◽

Author(s):

Xinghu SONG ◽

Ying HUANG ◽

Yuan YUAN ◽

Atta Tung SHAHBAZ ◽

Souliyanonh BIANGKHAM ◽

...

Keyword(s):

Yangtze River ◽

Block Design ◽

Yangtze River Valley ◽

River Valley ◽

High Density ◽

Cropping Pattern ◽

The Yangtze River ◽

Cotton Yield ◽

N Rates ◽

Late Sowing

Abstract Background An optimal N rate is one of the basic determinants for high cotton yield. The purpose of this study was to determine the optimal N rate on a new cotton cropping pattern with late-sowing, high density and one-time fertilization at the first flower period in Yangtze River Valley, China. A 2-year experiment was conducted in 2015 and 2016 with a randomized complete block design. The cotton growth process, yield, and biomass accumulation were examined. Results The results showed that N rates had no effect on cotton growing progress or periods. Cotton yield was increased with N rates increasing from 120 to 180 kg·hm−2, while the yield was not increased when the N rate was beyond 180 kg·hm−2, or even decreased (9∼29%). Cotton had the highest biomass at the N rate of 180 kg·hm−2 is due to its highest accumulation speed during the fast accumulation period. Conclusions The result suggests that the N rate for cotton could be reduced further to be 180 kg·hm− 2 under the new cropping pattern in the Yangtze River Valley, China.

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