文献类型: 外文期刊
作者: Yibati, Halihashi 1 ; Zhang, Yan 1 ; Li, Qingjun 1 ; Xu, Xingpeng 2 ; He, Ping 2 ;
作者机构: 1.Xinjiang Acad Agr Sci XAAS, Inst Soil Fertilizer & Agr Water Conservat, Urumqi 830091, Peoples R China
2.Chinese Acad Agr Sci CAAS, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
关键词: cotton; seed yield; QUEFTS model; nutrient uptake; internal efficiency (IE)
期刊名称:AGRONOMY-BASEL ( 影响因子:3.949; 五年影响因子:4.117 )
ISSN:
年卷期: 2022 年 12 卷 6 期
页码:
收录情况: SCI
摘要: The Xinjiang cotton-producing region is the main cotton-growing region in China; however, the combination of excessive application but low utilization of fertilizers has restricted its agricultural development. Estimating the balanced nutrient requirements for cotton is essential to increase its yield and nutrient use efficiency. The results from 372 field experiments performed between 1996 and 2019 were used to build a QUEFTS (quantitative evaluation of the fertility of tropical soils) model to investigate relationships between cotton seed yield and nutrient accumulation, with the data from 2017 to 2020 used to validate the model. The results demonstrated that the QUEFTS model predicted a linear relationship between target yield and nutrient uptake until the target yield reached about 60-70% of the potential yield. To produce 1000 kg of seed cotton, 28.3 kg N, 6.1 kg P, and 29.6 kg K were required for cotton, and the corresponding ratio of N, P, and K was 4.64:1:4.85. The corresponding internal efficiencies (IEs) for N, P, and K were 35.4, 163.2, and 33.7 kg/kg, respectively. Field validation indicated that the QUEFTS model could be used to estimate nutrient uptake at a targeted yield and contribute to developing a fertilizer recommendation strategy for Xinjiang cotton production.
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