4.7 Article

Estimating Nutrient Uptake Requirements for Melon Based on the QUEFTS Model

Journal

AGRONOMY-BASEL
Volume 12, Issue 1, Pages -

Publisher

MDPI
DOI: 10.3390/agronomy12010207

Keywords

QUEFTS model; melon; nutrient requirements; internal efficiency (IE)

Funding

  1. National Key Research & Development Program of China [2016YFD0200104]
  2. Youth Science and Technology Fund Project of Gansu provincial of China [21JR7RA724]

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The imbalanced and excessive use of fertilizer in melon production in China has led to low yields and reduced nutrient use efficiency. This study assessed the relationship between yield and nutrient uptake requirements in melons and used the QUEFTS model to estimate nutrient requirements. The findings will contribute to the development of fertilizer recommendations to improve melon yield and nutrient use efficiency.
Imbalanced and excessive fertilizer application has resulted in low yields and reduced nutrient use efficiency for melon production in China. Estimating nutrient requirements is crucial for effectively developing site-specific fertilizer recommendations for increasing yield and profit while reducing negative environmental impacts. Relationships between the yield and nutrient uptake requirements of above-ground dry matter were assessed using 1127 on-farm observations (2000-2020) from melon production regions of China. The quantitative evaluation of fertility of tropical soils (QUEFTS) model was used to estimate nutrient requirements. It predicted a linear increase in yield at balanced nutrient uptake levels until the yield reached approximately 60-80% of the potential yield. In order to produce 1000 kg of fruit, 2.9, 0.4 and 3.2 kg/ha of N, P and K (7.2:1.0:7.8), respectively, were required for above-ground parts, while the corresponding nutrient internal efficiencies were 345.3, 2612.6 and 310.0 kg per kg N, P and K, respectively, whereas 1.4, 0.2 and 1.9 kg of N, P and K were required to replace nutrients removed after harvest. The corresponding fruit absorption rates were 47.0%, 59.5% and 58.2%, respectively. Field validation experiments confirmed the consistency between observed and simulated uptake rates, indicating that this model could estimate nutrient requirements. These findings will help develop fertilizer recommendations for improving melon yield and nutrient use efficiency.

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