Straw return increases crop grain yields and K-use efficiency under a maize-rice cropping system
文献类型: 外文期刊
第一作者: Han, Yuling
作者: Han, Yuling;Salah, Akram;Cao, Cougui;Zhan, Ming;Han, Yuling;Ma, Wei;Zhou, Baoyuan;Zhao, Ming;Geng, Mingjian
作者机构:
关键词: Maize-rice system; Straw return; K fertilizer; K-use efficiency; Quantity/intensity curve
期刊名称:CROP JOURNAL ( 影响因子:4.407; 五年影响因子:5.687 )
ISSN: 2095-5421
年卷期: 2021 年 9 卷 1 期
页码:
收录情况: SCI
摘要: Straw return is an effective way to improve crop grain yield and potassium (K) use efficiency by increasing soil K content. However, the effects of straw return on soil K supplying capacity, replacement of K fertilizer, and K-use efficiency under maize (Zea mays L.)-rice (Oryza sativa L.) cropping systems are little studied. A two-year field experiment was conducted to determine the physiological determinants of K-use efficiency under straw return with four K fertilization rates. Sr33 (straw returned plus 33% of K fertilizer applied) and Sr67 (straw returned plus 67% of K fertilizer applied) increased annual crop yields by 1.5% and 3.2% and increased agronomic K-use efficiency by respectively 2.9 and 1.3-fold on average in the two years, compared with the conventional practice S0K100 (no straw returned plus normal amounts of K fertilizer applied). The Sr33 and Sr67 treatments resulted in significantly greater equilibrium K concentration ratios (CR0K) and specifically exchangeable K (K-X) values according to quantity/intensity (Q/I) relationship analyses, indicating improvement of the potential soil K supply capacity. However, the Sr67 better maintained the soil exchangeable K level and K balance. The results suggested that K released from maize and rice straw can replace about half of chemical K fertilizer, depending on the available K content in maize-rice cropping system production. (C) 2020 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
分类号:
- 相关文献
作者其他论文 更多>>
-
Study on Rapid Quantitative Detection of Soil MPs Based on Terahertz Time-Domain Spectroscopy
作者:Xu, Lijia;Feng, Yanqi;Feng, Ao;Yang, Yuping;Chen, Yanjun;Wu, Zhijun;Wang, Yuchao;Zhao, Yongpeng;Yang, Yuping;Liu, Bo;Yang, Ning;Ma, Wei;He, Yong
关键词:
-
An efficient allotriploid-mediated system of generating genomic introgression from Brassica oleracea to B. rapa
作者:Gu, Aixia;Li, Xiaomin;Wang, Zengfeng;Wang, Yanhua;Xuan, Shuxin;Ma, Wei;Hong, Yiguo;Zhao, Yalei;Chen, Xueping;Luo, Shuangxia;Liu, Yuanming;Liu, Shengyi;Zhao, Jianjun;Shen, Shuxing;Li, Xiaomin;Wang, Zengfeng;Liu, Shengyi;Zhang, Yuanyuan
关键词:allotriploid; Brassica crops; genome introgression; homoeologous recombination; interspecific hybridization; trait variation
-
Quality analysis and characteristic difference identification of organic tea and conventional planting tea based on ICP, HPLC and machine algorithm
作者:Zhou, De;Hu, Yunfei;He, Xi;Bao, Lian;Zhao, Ming;Tang, Qingyan;Zhou, De;Hu, Yunfei;Bao, Lian;Zhao, Ming;Tang, Qingyan;Du, Lijuan;Shao, Jinliang
关键词:Organic tea; Characteristic component; analysis (OPLS-DA); Linear discriminant analysis (LDA); Sensory evaluation; Orthogonal partial least squares- discriminant
-
YOLOv8-MSP-PD: A Lightweight YOLOv8-Based Detection Method for Jinxiu Malus Fruit in Field Conditions
作者:Liu, Yi;Han, Xiang;Zhang, Hongjian;Liu, Shuangxi;Yan, Yinfa;Sun, Linlin;Jing, Linlong;Wang, Yongxian;Wang, Jinxing;Zhang, Hongjian;Wang, Jinxing;Ma, Wei
关键词:Jinxiu Malus fruit; YOLOv8; lightweight; multi-scale feature fusion; object detection
-
Surface Defect and Malformation Characteristics Detection for Fresh Sweet Cherries Based on YOLOv8-DCPF Method
作者:Liu, Yilin;Sheng, Changrong;Li, Qingda;Han, Xiang;Ren, Longlong;Song, Yuepeng;Ma, Wei;Liu, Baoyou
关键词:cherry defect; YOLOv8n; image recognition; target detection
-
Long-term Chinese milk vetch incorporation promotes soil aggregate stability by affecting mineralogy and organic carbon
作者:Chen, Yulu;Huang, Li;Zhou, Zhen;Mehran, Muhammad;Geng, Mingjian;He, Yangbo;Gao, Jusheng;Zhang, Huimin;Huang, Jing
关键词:aggregate stability; clay; milk vetch; mineralogy; soil organic carbon
-
Study on Cherry Blossom Detection and Pollination Parameter Optimization Using the SMD-YOLO Model
作者:Ren, Longlong;Du, Yonghui;Li, Yuqiang;Gao, Ang;Song, Yuepeng;Ren, Longlong;Song, Yuepeng;Ma, Wei;Han, Xingchang;Han, Xingchang
关键词:deep learning; cherry blossom; object detection; pollination experiment bench; parameter optimization