Water dynamics and competition in cotton populations: Assessing soil moisture utilization and yield patterns under different planting densities using advanced spatial monitoring and analysis

被引:0
|
作者
Xin, Minghua [1 ,2 ]
Wu, Fengqi [1 ,2 ,3 ]
Wang, Guoping [2 ]
Li, Xiao-Fei [2 ]
Li, Yabing [1 ,2 ]
Han, Yingchun [2 ]
Yang, Beifang [2 ]
Dong, Helin [1 ,4 ]
Guo, Simeng [1 ,2 ,4 ]
Feng, Lu [1 ,2 ]
机构
[1] Zhengzhou Univ, Sch Agr Sci, State Key Lab Cotton Biobreeding & Integrated Util, Zhengzhou Res Base, Zhengzhou 450001, Peoples R China
[2] Chinese Acad Agr Sci, Cotton Res Inst, Natl Key Lab Cotton Biobreeding & Integrated Utili, Anyang 455000, Henan, Peoples R China
[3] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[4] Chinese Acad Agr Sci, Western Agr Res Ctr, Changji 831100, Peoples R China
关键词
Planting density; Yield; Soil profile; Spatial distribution of moisture; Agricultural water management; INTRA-SPECIFIC COMPETITION; USE EFFICIENCY; GRAIN-YIELD; ROOT-GROWTH; IRRIGATION; COMPONENTS; PRODUCTIVITY; HIERARCHIES; QUALITY; MAIZE;
D O I
10.1016/j.indcrop.2024.120333
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
With the advancement of agricultural information technology, sensors have become instrumental in monitoring soil water environments, opening new avenues for optimizing water management strategies. This study utilized high spatiotemporal resolution sensors and a grid sampling method to monitor soil moisture distribution during the squaring and flowering and boll developing stage of cotton (Gossypium hirsutum L.) under varying planting densities. Geostatistical methods were employed to calculate soil water consumption (SWC) distribution and dynamics, quantifying water competition patterns among cotton populations at different planting densities. The analysis integrated cotton growth dynamics and yield to examine the relationship between biomass, yield, and soil water utilization. Results showed significant interannual variability in cotton growth curves, with planting density notably affecting underground biomass, yield, and the distribution of SWC within the soil profile. A positive correlation was found between water consumption at depths of 30-50 cm and yield, even under low water consumption conditions. The three-dimensional efficiency map showed that a planting density of approximately 210,000 plants center dot hm-2 with SWC between 250.0 and 400.0 mm resulted in stable, high biomass and yield. The double Gaussian model indicated that with increasing SWC, a first yield peak was at the SWC of 255.9 mm, after which there was a decline in water use efficiency (WUE) (the slope of yield vs. SWC). The second yield peak was at a greater SWC of around 630.0 mm. This study also found that by controlling the soil water consumption of cotton at different densities, the biomass and yield of cotton can be quantitatively regulated, thereby reducing the yield differences caused by interannual effects and varying planting densities. These findings provide valuable insights into the spatial competition and efficient utilization of soil moisture in cotton populations, offering important guidance for achieving high, stable yields and precision water management in cotton production.
引用
收藏
页数:14
相关论文
共 1 条