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Estimation of Processing Tomato Nutrient Uptake Based on the QUEFTS Model in Xinjiang

文献类型： 外文期刊

作者： Yibati, Halihashi 1 ; Gao, Jie 1 ; Zhang, Yan 2 ; Li, Qingjun 2 ; Xu, Xinpeng 3 ; He, Ping 3 ; Yin, Xinhua 4 ;

作者机构： 1.Xinjiang Agr Univ, Coll Hort, Urumqi 830052, Peoples R China

2.Xinjiang Acad Agr Sci, Inst Agr Resources & Environm, Urumqi 830091, Peoples R China

3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China

4.Univ Tennessee, Dept Plant Sci, Jackson, TN 38301 USA

关键词： processing tomato; fruit yield; QUEFTS model; nutrient; internal efficiency (IE)

期刊名称：AGRONOMY-BASEL （ 影响因子：3.4； 五年影响因子：3.8 ）

ISSN：

年卷期： 2025 年 15 卷 2 期

页码：

收录情况： SCI

摘要： Imbalanced and excessive fertilization leads to low nutrient utilization efficiency and wastage of fertilizer resources in processing tomatoes in Xinjiang. Determining nutrient requirements is vital for devising fertilization strategies that enhance yield, profitability, and environmental sustainability. This study utilized observational data from 181 farms across Xinjiang's major processing tomato production areas from 2003 to 2023 to explore the relationship between fruit yield and nutrient uptake in aboveground dry matter. The Quantitative Evaluation of the Fertility of Tropical Soils (QUEFTS) model was employed to estimate nutrient requirements. The results indicated that when the target yield reached 60-70% of its potential, nutrient uptake by processing tomatoes increased linearly with fruit yield. To produce 1000 kg of fruit, the aboveground parts required 1.95 kg of nitrogen, 0.33 kg of phosphorus, and 2.28 kg of potassium, reflecting a N:P:K ratio of 1:0.17:1.17. In contrast, during harvesting, alternative plant parts required 1.31 kg of nitrogen, 0.21 kg of phosphorus, and 0.71 kg of potassium, with fruit nutrient uptake rates of 67.3%, 65.6%, and 74.9%, respectively. Field validation showed a strong correlation between the observed and simulated nutrient uptake rates, demonstrating the model's accuracy in predicting nutrient demands. These findings provide critical insights for developing optimized fertilization strategies to enhance yield and nutrient use efficiency in Xinjiang's processing tomato production.

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