Comprehensive Growth Evaluation of Subsurface Drip-Irrigated Walnuts Based on the TOPSIS-GRA Coupled Model

A field experiment was conducted on 16-year-old ‘Wen 185’ walnut trees in Aksu, Southern Xinjiang, to identify optimal water and fertilizer management under subsurface drip irrigation. Four irrigation levels were established: 75% ETc (W1), 100% ETc (W2), 125% ETc (W3), and 150% ETc (W4). These were combined with three fertilizer levels: N 270, P 240, K 300 kg ha−1 (F1), N 360, P 320, K 400 kg ha−1 (F2), and N 450, P 400, K 500 kg ha−1 (F3). This resulted in a total of 12 treatments. This study assessed the impact of different water and fertilizer treatments on walnut growth dynamics, yield, fruit quality, water and fertilizer use efficiency, and soil nitrate residue. Principal component analysis (PCA) was used to construct comprehensive growth and photosynthesis indices (CGI and CPI). Parameters significantly correlated with yield and quality were then screened via Pearson analysis, and a game theory-based combination weighting method was adopted to determine weights for integrating six categories of indicators: growth, photosynthesis, yield, quality, resource use efficiency, and environmental impact. A coupled TOPSIS-GRA model was developed for comprehensive evaluation. Furthermore, binary quadratic regression was employed to optimize the application ranges of water and fertilizer. The results showed that the W2F2 treatment achieved the highest rank by synergistically enhancing growth, photosynthetic performance, yield, and quality. This treatment also maintained high water use efficiency (WUE) and partial factor productivity of fertilizer (PFP) and effectively reduced nitrate accumulation in deep soil layers. The CGI and CPI, derived from PCA, effectively quantified phenological growth and photosynthetic characteristics. Correlation analysis identified seven core parameters, among which IV-CPI correlated most strongly with yield. In contrast, II-CPI was more closely associated with increased single-fruit weight and reduced tannin content. Within the comprehensive evaluation system that used game theory-based combination weighting, yield received the highest weight (0.215), while IV-CPI was assigned the lowest (0.011). The TOPSIS-GRA coupled model identified the W2F2 treatment as the highest-ranked. Furthermore, regression optimization determined the optimal total seasonal application ranges to be 5869.94–6519.81 m3 ha−1 for irrigation and 975.54–1107.49 kg ha−1 for fertilization. The coupled TOPSIS-GRA model enabled a balanced assessment of the objectives: high yield, superior quality, resource use efficiency, and environmental sustainability. Thus, it provides a theoretical foundation and practical guidance for enhancing the productivity and sustainability of subsurface drip-irrigated walnut orchards in Southern Xinjiang.

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Journal
Horticulturae
Published
2025-10-29
DOI
https://doi.org/10.3390/horticulturae11111301
Primary Topic
Irrigation Practices and Water Management
Type
article
Field-Weighted Citation Impact
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article

Comprehensive Growth Evaluation of Subsurface Drip-Irrigated Walnuts Based on the TOPSIS-GRA Coupled Model

Jingbo Xu, Qiuping Fu, Ming Hong, Jinghua Zhao et al.
Horticulturae
Irrigation Practices and Water Management
article

Comprehensive Growth Evaluation of Subsurface Drip-Irrigated Walnuts Based on the TOPSIS-GRA Coupled Model

Jingbo Xu, Qiuping Fu, Ming Hong, Jinghua Zhao, Liang Ma, Tingrui Yang
article en

Abstract

A field experiment was conducted on 16-year-old ‘Wen 185’ walnut trees in Aksu, Southern Xinjiang, to identify optimal water and fertilizer management under subsurface drip irrigation. Four irrigation levels were established: 75% ETc (W1), 100% ETc (W2), 125% ETc (W3), and 150% ETc (W4). These were combined with three fertilizer levels: N 270, P 240, K 300 kg ha−1 (F1), N 360, P 320, K 400 kg ha−1 (F2), and N 450, P 400, K 500 kg ha−1 (F3). This resulted in a total of 12 treatments. This study assessed the impact of different water and fertilizer treatments on walnut growth dynamics, yield, fruit quality, water and fertilizer use efficiency, and soil nitrate residue. Principal component analysis (PCA) was used to construct comprehensive growth and photosynthesis indices (CGI and CPI). Parameters significantly correlated with yield and quality were then screened via Pearson analysis, and a game theory-based combination weighting method was adopted to determine weights for integrating six categories of indicators: growth, photosynthesis, yield, quality, resource use efficiency, and environmental impact. A coupled TOPSIS-GRA model was developed for comprehensive evaluation. Furthermore, binary quadratic regression was employed to optimize the application ranges of water and fertilizer. The results showed that the W2F2 treatment achieved the highest rank by synergistically enhancing growth, photosynthetic performance, yield, and quality. This treatment also maintained high water use efficiency (WUE) and partial factor productivity of fertilizer (PFP) and effectively reduced nitrate accumulation in deep soil layers. The CGI and CPI, derived from PCA, effectively quantified phenological growth and photosynthetic characteristics. Correlation analysis identified seven core parameters, among which IV-CPI correlated most strongly with yield. In contrast, II-CPI was more closely associated with increased single-fruit weight and reduced tannin content. Within the comprehensive evaluation system that used game theory-based combination weighting, yield received the highest weight (0.215), while IV-CPI was assigned the lowest (0.011). The TOPSIS-GRA coupled model identified the W2F2 treatment as the highest-ranked. Furthermore, regression optimization determined the optimal total seasonal application ranges to be 5869.94–6519.81 m3 ha−1 for irrigation and 975.54–1107.49 kg ha−1 for fertilization. The coupled TOPSIS-GRA model enabled a balanced assessment of the objectives: high yield, superior quality, resource use efficiency, and environmental sustainability. Thus, it provides a theoretical foundation and practical guidance for enhancing the productivity and sustainability of subsurface drip-irrigated walnut orchards in Southern Xinjiang.

HorticulturaeVol. 11(11)
Xinjiang Agricultural University (CN), Xinjiang Institute of Water Resources and Hydropower Research (CN)
Department of Water Resources
Openalex Percentile: Top 61%
Irrigation Practices and Water Management
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