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<p>Excessive irrigation wastes water resources and impairs plant physiological processes, ultimately reducing dry matter accumulation and final yield. The study conducted over the 2023 and 2024 growing seasons sought to explore these effects by examining three irrigation treatments (I1: 65–85% <i>θ</i><sub><i>f</i></sub>, I2: 60–80% <i>θ</i><sub><i>f</i></sub>, I3: 55–75% <i>θ</i><sub><i>f</i></sub>) and a fully irrigated control (CK: 70–90% <i>θ</i><sub><i>f</i></sub>) on grapevines within a solar greenhouse setting. Results showed that irrigation treatments significantly affected dry matter accumulation, particularly during fruit swelling and maturity stages. Logistic model simulated accumulation process revealed that the maximum theoretical accumulation (parameter A) was the most sensitive to water stress. I3 treatment decreased it by 12.40-43.04% in shoots, 3.80-15.09% in leaves, 3.87–26.45% in fruits, and 8.23–35.27% in aboveground biomass. Lower irrigation amounts shortened the rapid growth stage duration (<i>T</i><sub><i>2</i></sub>), decreased the timing of the maximum accumulation rate (<i>X</i><sub><i>max</i></sub>) and also increased both the maximum (<i>V</i><sub><i>max</i></sub>) and average (<i>V</i><sub><i>avg</i></sub>) rates of dry matter accumulation. At maturity, lower irrigation treatments promoted dry matter allocation to leaves and fruits but decreased yield. The Mantel test identified seven dry matter accumulation characteristic parameters to be significantly and positively correlated with yield and radiation use efficiency (RUE) (<i>p</i> &lt; 0.05, <i>r</i> ≥ 0.2). The random forest model identified <i>y</i><sub><i>3</i></sub> and <i>y</i><sub><i>1</i></sub> (dry matter accumulation during the gradual and slow growth stages) as the most critical parameters influencing yield and RUE. In both 2023 and 2024, I1 treatment was optimal strategy that enhanced water use efficiency (WUE) by 7.36 and 8.37% and increased fruit allocation index by 2.78 and 2.78% without significant loss in yield or RUE (<i>p</i> &gt; 0.05).</p>

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Effect of irrigation on accumulation and allocation of dry matter and yield of solar greenhouse grapevine

  • 期刊论文

  • 发表日期：

    2025年11月28日

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  • Dantong Wang,
  • Kewei Zhu,
  • Xinguang Wei,
  • Yikui Bai,
  • Tieliang Wang

摘要

Excessive irrigation wastes water resources and impairs plant physiological processes, ultimately reducing dry matter accumulation and final yield. The study conducted over the 2023 and 2024 growing seasons sought to explore these effects by examining three irrigation treatments (I1: 65–85% θf, I2: 60–80% θf, I3: 55–75% θf) and a fully irrigated control (CK: 70–90% θf) on grapevines within a solar greenhouse setting. Results showed that irrigation treatments significantly affected dry matter accumulation, particularly during fruit swelling and maturity stages. Logistic model simulated accumulation process revealed that the maximum theoretical accumulation (parameter A) was the most sensitive to water stress. I3 treatment decreased it by 12.40-43.04% in shoots, 3.80-15.09% in leaves, 3.87–26.45% in fruits, and 8.23–35.27% in aboveground biomass. Lower irrigation amounts shortened the rapid growth stage duration (T2), decreased the timing of the maximum accumulation rate (Xmax) and also increased both the maximum (Vmax) and average (Vavg) rates of dry matter accumulation. At maturity, lower irrigation treatments promoted dry matter allocation to leaves and fruits but decreased yield. The Mantel test identified seven dry matter accumulation characteristic parameters to be significantly and positively correlated with yield and radiation use efficiency (RUE) (p < 0.05, r ≥ 0.2). The random forest model identified y3 and y1 (dry matter accumulation during the gradual and slow growth stages) as the most critical parameters influencing yield and RUE. In both 2023 and 2024, I1 treatment was optimal strategy that enhanced water use efficiency (WUE) by 7.36 and 8.37% and increased fruit allocation index by 2.78 and 2.78% without significant loss in yield or RUE (p > 0.05).