Growth and Nutrient Utilization in Basil Plant as Affected by Applied Nutrient Quantity in Nutrient Solution and Light Spectrum

Ren, Xiaowei; Lu, Na; Xu, Wenshuo; Zhuang, Yunfei; Tsukagoshi, Satoru; Takagaki, Michiko

doi:10.3390/biology11070991

Cited by 8 publications

(7 citation statements)

References 48 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In a hydroponic system, as plants grow, the concentration of various elements in the nutrient solution tends to decrease [21]. So the sample design considered the dilution of the nutrient solution.…”

Section: Methodsmentioning

confidence: 99%

Research on artificial neural networks to accurately predict element concentrations in nutrient solutions

Zhai

Dong

Liu

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

Calcium, potassium, nitrogen, magnesium, and phosphorus, the main elements of the nutrient solution, are absorbed by plants and play an important role in plants. By measuring Ca2+, K+, Mg2+, NH4+, NO3−, HPO42−, the Artificial Neural Networks (ANNs) were used in this study to accurately calculate the concentrations of these elements. Firstly, the error sources of the calculating element concentration were analyzed based on the data of six-ion measurement experiments. Subsequently, various optimization algorithms were compared to optimize back propagation (BP) and radial basis function (RBF) ANNs. Finally, the results of mean relative errors (MREs) and recovery values show that ANNs can effectively reduce the measurement error of ion sensors. From the perspective of recovery values, the prediction error of all elements can be controlled within 15%. From the perspective of MRE, except for magnesium and phosphorus elements, the improved model prediction errors of other elements were also less than 10%.

show abstract

Section: Methodsmentioning

confidence: 99%

Research on artificial neural networks to accurately predict element concentrations in nutrient solutions

Zhai

Dong

Liu

et al. 2023

Meas. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…In addition, it is well known that when the amount of nutrients absorbed by plants exceeds a threshold, the yield no longer increases with the nutrient application. This indicates that in the ECM treatment, plants were probably exposed to luxury nutrient consumption, leading to excessive vegetative growth [31].…”

Section: Plant Productivitymentioning

confidence: 98%

“…However, fruit color significantly improved in the QNM treatment. Several previous studies reported that the QNM technique did not reduce the quality of harvested products [29,31]. Chaverria et al [57] examined the effect of nitrogen concentration in the nutrient solution on cucumber fruit color parameters.…”

Section: Fruit Growth and Qualitymentioning

confidence: 99%

“…To enhance nutrient utilization efficiency and minimize the environmental impact of nutrient wastes, a new approach known as Quantitative Nutrient Management (QNM) has been proposed [29,31]. In the QNM approach, nutrients are supplied in a quantitative and periodic manner regardless of the nutrient solution EC value.…”

Section: Introductionmentioning

confidence: 99%

“…The QNM has been used to regulate and optimize the growth and productivity of various vegetables, including tomatoes [29,32], melon [33], spinach [34], and basil [31]. Applying the QNM on these crops permitted increased nutrient use efficiency without lowering the yield and quality of harvested products.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Cucumber (Cucumis sativus L.) Growth and Productivity under Solar Radiation-Based Quantitative Nutrient Management in Hydroponic System

Samba,

Nunomura,

et al. 2024

Agronomy

Self Cite

View full text Add to dashboard Cite

Grafted cucumber plants were grown in a new hydroponic system (“Kappa Land”, Mitsubishi Chemical Aqua Solutions, Co., Ltd., Tokyo, Japan). Two different nutrient management methods were applied to the plants as treatments: Electrical Conductivity-based Management (ECM) and Quantitative Nutrient Management (QNM). During the growth period, we examined plant growth characteristics and productivity, fruit growth characteristics and quality, and nutrient use characteristics. The results revealed that the QNM technique significantly reduced the nutrient supply rate per plant for Ca2+, SO42−, and N by 28.5%, 25.5%, and 23.3%, respectively. Similarly, the absorption rates per plant of SO42−, K+, and PO43− were reduced by 17.8%, 11.9%, and 10.9%, respectively. However, N, Ca2+, and Mg2+ absorption rates slightly increased in the QNM treatment. The nutrient wastes generated per kilogram of produced fruits were also reduced by 66.4%, 60.7%, and 30.2% for N, Ca2+, and SO42−, respectively. Although the QNM technique reduced the plant’s leaf area, it significantly increased its total length by 9.4%. The total and marketable yields were not significantly different between the ECM (9.0 and 8.0 kg plant−1) and QNM (9.1 and 8.2 kg plant−1) treatments. However, the QNM treatment produced the highest total dry matter of 617 g plant−1, surpassing the ECM treatment by 6.9%. On the other hand, differences in nutrient management methods did not significantly affect fruit quality, including total soluble solids, water content, skin color, size, and shape. These results suggest that with the QNM method, it is possible to produce quality cucumbers with high nutrient use efficiency while protecting the environment from nutrient wastes.

show abstract

Morpho-physio-biochemical, molecular, and phytoremedial responses of plants to red, blue, and green light: a review

Rehman,

Pan,

Mubeen

et al. 2024

Environ Sci Pollut Res

View full text Add to dashboard Cite

Growth and Nutrient Utilization in Basil Plant as Affected by Applied Nutrient Quantity in Nutrient Solution and Light Spectrum

Cited by 8 publications

References 48 publications

Research on artificial neural networks to accurately predict element concentrations in nutrient solutions

Research on artificial neural networks to accurately predict element concentrations in nutrient solutions

Cucumber (Cucumis sativus L.) Growth and Productivity under Solar Radiation-Based Quantitative Nutrient Management in Hydroponic System

Morpho-physio-biochemical, molecular, and phytoremedial responses of plants to red, blue, and green light: a review

Contact Info

Product

Resources

About