Quantitative estimating nutrient uptake requirements for sugarcane based on QUEFTS model in China
文献类型: 外文期刊
作者: Wang, Jihua 1 ; Gu, Yan 1 ; Mei, Yu 1 ; Xu, Shiqiang 1 ; Li, Guoliang 3 ; Zhang, Muqing 2 ; Yang, Shaohai 1 ;
作者机构: 1.Guangdong Acad Agr Sci, Guangdong Prov Key Lab Crops Genet & Improvement, Crop Res Inst, Guangzhou, Peoples R China
2.Guangxi Univ, Guangxi Key Lab Sugarcane Biol, Nanning, Peoples R China
3.Guangdong Acad Agr Sci, Inst Agr Resources & Environm, Guangzhou, Peoples R China
关键词: fertilization; internal efficiency (IE); nutrient uptake; QUEFTS; sugarcane
期刊名称:JOURNAL OF PLANT NUTRITION ( 影响因子:2.277; 五年影响因子:2.157 )
ISSN: 0190-4167
年卷期: 2022 年 45 卷 10 期
页码:
收录情况: SCI
摘要: Estimating balanced nutrient requirements of sugarcane (Saccharum L. spp.) in China is crucial to develop the optimum fertilization strategies to increase yields and fertilizer use efficiency. In this study, the datasets involving the main sugarcane growing ecological regions were collected from field experiments from 1995 to 2019. Quantitative evaluation of fertility of tropical soils (QUEFTS) model was preliminarily established to investigate the relationship between sugarcane yield and nutrient uptake accumulation and estimate the nutrient requirements for sugarcane at a target yield. QUEFTS model predicted a linear increase in cane yield before the yield reached approximately 60%-70% of the potential yield. Results showed that the total plants had acquired 1.70 kg N, 0.21 kg P, and 2.52 kg K to produce 1000 kg of cane, and the corresponding internal efficiencies (IEs) for N, P, and K were 587.34, 4739.47, and 396.12 kg/kg. Moreover, the simulated balanced nutrients removal from the cane were 1.02 kg N, 0.15 kg P, and 1.63 kg K per 1000 kg of cane, accounting for approximately 60.00%, 71.12% and 64.58% of the total plants, respectively. Field validation experiments suggested that the QUEFTS model could be used to simulate nutrient requirements to help make fertilizer recommendations for sugarcane. QUEFTS model was considered to be an effective alternative for estimating the optimal balance nutrient requirements for sugarcane crops and potentially be helpful when making future decisions regarding fertilizer recommendations for sugarcane in China.
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