期刊
FRONTIERS IN PLANT SCIENCE
卷 8, 期 -, 页码 -出版社
FRONTIERS MEDIA SA
DOI: 10.3389/fpls.2017.00912
关键词
cotton yield; irrigation methods; N regime; root architecture; water use efficiency
资金
- National Natural Science Foundation of China [31460325, 31401321]
- Xinjiang Production and Construction Corps [2014BB009]
There is a need to optimize water-nitrogen (N) applications to increase seed cotton yield and water use efficiency (WUE) under a mulch drip irrigation system. This study evaluated the effects of four water regimes [moderate drip irrigation from the third-leaf to the boll-opening stage (W-1), deficit drip irrigation from the third-leaf to the flowering stage and sufficient drip irrigation thereafter (W-2), pre-sowing and moderate drip irrigation from the third-leaf to the boll-opening stage (W-3), pre-sowing and deficit drip irrigation from the third-leaf to the flowering stage and sufficient drip irrigation thereafter (W-4)] and N fertilizer at a rate of 520 kg ha(-1) in two dressing ratios [7:3 (N-1), 2:8 (N-2)] on cotton root morpho-physiological attributes, yield, WUE and the relationship between root distribution and dry matter production. Previous investigations have shown a strong correlation between root activity and water consumption in the 40-120 cm soil layer. The W-3 and especially W-4 treatments significantly increased root length density (RLD), root volume density (RVD), root mass density (RMD), and root activity in the 40-120 cm soil layer. Cotton RLD, RVD, RMD was decreased by 13.1, 13.3, and 20.8%, respectively, in N-2 compared with N-1 at 70 days after planting (DAP) in the 0-40 cm soil layer. However, root activity in the 40-120 cm soil layer at 140 DAP was 31.6% higher in N-2 than that in N-1. Total RMD, RLD and root activity in the 40-120 cm soil were significantly and positively correlated with shoot dry weight. RLD and root activity in the 40-120 cm soil layer was highest in the W4N2 treatments. Therefore increased water consumption in the deep soil layers resulted in increased shoot dry weight, seed cotton yield and WUE. Our data can be used to develop a water-N management strategy for optimal cotton yield and high WUE.
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