The current study was undertaken to investigate the dynamic characteristics of the tomato crop, such as its plant height and leaf area index (LAI), based on the effective cumulative temperature. This was assessed under aerated drip irrigation (ADI) conditions and the application of a specific nitrogen (N) dose, and their relationship with the yield of the crop was formulated. The study was conducted in a greenhouse located in Zhengzhou, Henan province, China. The assessment conditions were the two irrigation methods, ADI and conventional drip irrigation (CK), and the three N application rates, i.e., 0, 140, and 210 kg ha–1. The logistic and Richards models were used to fit dynamic equations for plant height and LAI under the different treatments to quantify the characteristic parameters and understand their relationship with yield. The results revealed that the growth of the tomato plant fitted well with the logistic and Richards model at R2 > 0.98 (p < 0.01), regardless of the treatments. ADI and N application were found to significantly increase the maximum growth rate and average growth rate over the rapid growth period based on the tomato plant height and LAI. They were also noted to reduce the effective cumulative temperature at which plant height entered the rapid growth period (p < 0.05), thereby increasing the time spent in the nutritional growth phase. This is an essential precursor for the better development of subsequent reproductive organs. Tomato yields also confirm it: the highest yield of 85.87 t ha–1 was obtained with 210 kg N ha–1 for the ADI treatment, with an increase of 13.8%, 12.2%, and 39.6% compared to the CK−210 kg N ha–1, ADI−140 kg N ha–1, and ADI−0 kg N ha–1 treatments, respectively (p < 0.05). Grey correlation analysis showed that the characteristic parameters closely related to yield were all from the ADI and N application treatments. Furthermore, it was observed that the effective cumulative temperature and the maximum growth rate of the LAI at which the LAI entered the slow growth phase were the key growth characteristic parameters affecting tomato yield. This study provides a scientific basis for regulating the growth dynamics and yield of vegetables in greenhouse facilities under ADI and N application.
A vegetable water production function has been one of the most significant parameters to improve the use efficiency and economic benefit of agricultural water in the greenhouse. Meanwhile, aerated irrigation unlocks the high yield potential for greenhouse crop production. Thus, water, fertilizer and air coupled production function is proposed for the optimization of the irrigation scheme during the greenhouse tomato growth period. Two seasons of greenhouse tomato experiments were conducted under aerated subsurface drip irrigation (ASDI). There were three nitrogen application rates (N1, 120 kg ha−1; N2, 180 kg ha−1; N3, 240 kg ha−1) and three aeration rates with dissolved oxygen (DO) in irrigation water (A2, 15 mg L−1; A3, 40 mg L−1 and A1, 5 mg L−1 in the non-aeration treatment) in the first crop season, while three irrigation rates of soil moisture content (W1, 50–60% field capacity; W2, 60–70% field capacity; W3, 70–80% field capacity) and two aeration rates with DO in irrigation water (25 mg L−1 and 5 mg L−1) in the second crop season. The potential yield function of tomato was constructed, and the water sensitivity index was resolved. The production function of greenhouse tomato under water, fertilizer, and air coupled irrigation was established based on the Jensen function. The water allocation scheme under multiple irrigation quotas was optimized by the dynamic programming (DP) method. The results showed that with the elapse of crop growth stages, the cumulative curve of the water sensitivity index showed an S-shaped curve, which first rose slowly and then fast, and eventually tended to be stable. The optimized irrigation increased the yield by 4.25% averagely compared with the irrigation method of fixed moisture content interval, while the crop yield in the optimized ASDI increased by 26.13% compared with non-aeration treatment. In summary, the optimal combination was the aeration rate DO of 24.55mg L−1 in irrigation water and nitrogen application rate of 281.43 kg ha−1, and the irrigation quota of 420 mm. The net yield increased by 11,012 USD ha−1 in a single crop season when compared with the non-aeration treatment. The results would provide a reference method for the optimization of technical parameters of water—fertilizer—air coupled irrigation.
The problems of high nitrogen (N) fertilizer application rate and low N utilization efficiency are common worldwide in vegetable plantations. Application of brown coal (BC, also known as lignite) can increase crop yield and fertilizer N recovery efficiency (NRE). However, the effect of BC application on the utilization and distribution of exogenous N in the soil–plant system under different fertilization strategies is unclear. The pot experiment was set up in three factors of randomized design, including 15N-labeled urea fertilizer, BC, and organic manure, and pakchoi was used as the test crop. There were five rates of 15N-labeled urea, including 0, 100, 200, 300, and 400 kg N ha−1, two rates of BC with 5 and 0 t ha−1, and the organic manure with 0 t ha−1 which constitutes ten treatments. The other four treatments were the combination of one 15N-labeled urea rate of 100 kg N ha−1, two rates of BC with 5 and 0 t ha−1, and two rates of organic manure with 100 and 0 kg N ha−1. In conclusion, the interaction of all N fertilizer rates combined with BC improved soil 15N retention efficiency by 10.14% compared without BC amendment. Between 200 and 300 kg N ha−1, the average potential loss rate of 15N decreased by 10.41%. The application of BC could reduce N loss by enhancing plant N uptake and increasing soil retention. The combined use of 200 kg N ha−1 fertilizer and 5 t ha−1 of BC would maintain a high fertilizer NRE and ensure pakchoi yield.
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