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Advanced Plant Biotechnology in Sustainable Agriculture

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Agricultural Science and Technology".

Deadline for manuscript submissions: 20 January 2025 | Viewed by 12401

Special Issue Editors

Institute of Farmland Irrigation of CAAS, Hongli Road (East) NO.380, Xinxiang City, China
Interests: sustainable cropping system; meteorological modelling; irrigation forecast; remote sensing in agriculture
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Guest Editor
Institute of Farmland Irrigation of CAAS, Hongli Road (East) NO.380, Xinxiang City, China
Interests: plant nutrition; plant regulation; fertigation system; greenhouse gases emission; crop production

Special Issue Information

Dear Colleagues,

Advanced plant biotechnology includes a series of innovative, scientific and technical methods applied to guarantee food security. Currently, food security has been facing a variety of challenges, including growing populations, water shortages, yield stagnation, climate change, and the frequent incidence of biotic and abiotic stresses, posing a severe threat to sustainable agriculture. In recent years, grain yields have nearly approached the ceiling of maximum yield potential under conventional technology, while advanced biotechnology, including genetic breeding engineering, cropping system strategies, remote sensing technology, disease detection and prevention, smart irrigation and fertilization, bioregulation, plant transformation, etc., has emerged and developed to make plants resistant to droughts, floods, pests and diseases, and other abiotic and biotic stresses. Advanced biotechnology in sustainable agriculture should effectively improve global agricultural productivity, guarantee food security, and alleviate human poverty. The Special Issue “Advanced Plant Biotechnology in Sustainable Agriculture” aims to provide an overview of the latest developments in major fields of advanced plant biotechnology. With its paramount importance in achieving the dual goals of high-quality food production and effective environmental protection, we welcome original research articles and reviews concerning all aspects related to advanced plant biotechnology in sustainable agriculture.

Dr. Anzhen Qin
Dr. Dongfeng Ning
Guest Editors

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Keywords

  • genetic engineering
  • cropping systems
  • smart fertigation
  • remote sensing
  • climate change

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Published Papers (9 papers)

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Research

12 pages, 444 KiB  
Article
Transforming Wine By-Products into Energy: Evaluating Grape Pomace and Distillation Stillage for Biomass Pellet Production
by Miguel Oliveira, Bruno M. M. Teixeira, Rogério Toste and Amadeu D. S. Borges
Appl. Sci. 2024, 14(16), 7313; https://doi.org/10.3390/app14167313 - 20 Aug 2024
Viewed by 573
Abstract
The by-products of the wine industry represent a global production of 10.5 to 13.1 million tons of wine pomace annually. This study examines the chemical composition and energy potential of wine pomace and distillation stillage, evaluating their suitability for pellet production within ENplus [...] Read more.
The by-products of the wine industry represent a global production of 10.5 to 13.1 million tons of wine pomace annually. This study examines the chemical composition and energy potential of wine pomace and distillation stillage, evaluating their suitability for pellet production within ENplus® standards. Proximate analysis, elemental analysis, and calorimetric analysis were conducted on samples of the two by-products collected in a local Distillery in Portugal. The results reveal that wine pomace has a higher volatile matter content (62.695%) than distillation stillage, which, however, has lower ash content (3.762%) and higher fixed carbon (31.813%). Calorimetric analyses show that distillation stillage has a superior low heating value compared to wine pomace, with values exceeding 19 MJ/kg. Both by-products, however, exceed ENplus® limits for ash (≤0.70), nitrogen (≤0.3), and sulfur (≤0.04) content, presenting challenges for use as high-quality fuel pellets. Combining these biomasses with other materials could reduce the pollutant content of the pellet and improve efficiency. This study highlights the need for pre-treatment strategies to lower ash content and enhance combustion. Policy support for sustainable practices is essential to optimize the use of wine pomace and distillation stillage as renewable energy sources. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Oven drying curves at 30 °C.</p>
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12 pages, 963 KiB  
Article
Influence of Exogenous Abscisic Acid on Germination and Physiological Traits of Sophora viciifolia Seedlings under Drought Conditions
by Xin Rao, Yujun Zhang, Yang Gao, Lili Zhao and Puchang Wang
Appl. Sci. 2024, 14(11), 4359; https://doi.org/10.3390/app14114359 - 21 May 2024
Cited by 1 | Viewed by 491
Abstract
This study investigates the role of abscisic acid (ABA) in bolstering drought resistance in plants, employing “Panjiang Sophora viciifolia” as the subject. A simulated drought scenario was created using polyethylene glycol (PEG-6000) to examine the impact of varying drought intensities (0%, 5%, [...] Read more.
This study investigates the role of abscisic acid (ABA) in bolstering drought resistance in plants, employing “Panjiang Sophora viciifolia” as the subject. A simulated drought scenario was created using polyethylene glycol (PEG-6000) to examine the impact of varying drought intensities (0%, 5%, 20% PEG) and ABA concentrations (0, 10, 50, 100, 200 mg·L−1) on the germination and physiological parameters of Sophora viciifolia. The results showed that in the absence of ABA, the germination rate (GR), germination potential (GP), and germination index (GI) of S. viciifolia seeds initially increased and then decreased with escalating PEG-induced drought stress. At PEG-induced drought stress levels of 5% and 20%, the activities of peroxidase (POD) and catalase (CAT), along with the malondialdehyde (MDA) content, were significantly higher than in the control (CK) (p < 0.05). In response to drought stress, S. viciifolia seeds adapted by modulating germination behavior, augmenting the content of osmoregulatory substances, and boosting the activity of protective enzymes. The addition of ABA markedly enhanced GR, GE, GI, activities of POD, superoxide dismutase (SOD), and CAT, as well as the levels of MDA and proline (Pro) under drought conditions (p < 0.05). Relative to CK, low ABA concentrations (10–100 mg·L−1) resulted in increased GR, GP, GI, POD, SOD, CAT, MDA, and Pro levels; whereas, at a higher concentration (200 mg·L−1), although GR, GP, and GI decreased, POD, SOD, CAT, MDA, and Pro levels increased. Through principal component analysis and membership function comprehensive evaluation, it was determined that administering 50 mg·L−1 ABA was most effective in enhancing drought resistance in S. viciifolia seedlings. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Effect of different concentrations of exogenous ABA on POD (<b>a</b>), SOD (<b>b</b>) and CAT (<b>c</b>) activities of <span class="html-italic">Sophora viciifolia</span> under drought stress. Different uppercase letters indicate significant differences among the three PEG-6000 treatments within the same ABA treatment at <span class="html-italic">p</span> &lt; 0.05 level; different lowercase letters indicate significant differences among different ABA treatments within the same PEG-6000 treatment at <span class="html-italic">p</span> &lt; 0.05 level. All data are presented as mean ± SE (standard error) (<span class="html-italic">n</span> = 4).</p>
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<p>Effect of different concentrations of exogenous ABA on MDA (<b>a</b>) and Pro (<b>b</b>) activities of <span class="html-italic">Sophora viciifolia</span> under drought stress. Different uppercase letters indicate significant differences among the three PEG-6000 treatments within the same ABA treatment at <span class="html-italic">p</span> &lt; 0.05 level; different lowercase letters indicate significant differences among different ABA treatments within the same PEG-6000 treatment at <span class="html-italic">p</span> &lt; 0.05 level. All data are presented as mean ± SE (standard error) (<span class="html-italic">n</span> = 4).</p>
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13 pages, 6204 KiB  
Article
Fulvic Acid Alleviates the Toxicity Induced by Calcium Nitrate Stress by Regulating Antioxidant and Photosynthetic Capacities and Nitrate Accumulation in Chinese Flowering Cabbage Seedlings
by Xue Wu, Ying Zhang, Yufeng Chu, Yifei Yan, Cuinan Wu, Kai Cao and Lin Ye
Appl. Sci. 2023, 13(22), 12373; https://doi.org/10.3390/app132212373 - 15 Nov 2023
Cited by 1 | Viewed by 990
Abstract
Continuous cropping can lead to an excessive accumulation of nitrate in facility-cultured soil. Excessive accumulation of nitrate gradually becomes the main reason for crop failure in vegetables and endangers human health. Therefore, the exploration of effective measures to decrease abundant nitrate accumulation in [...] Read more.
Continuous cropping can lead to an excessive accumulation of nitrate in facility-cultured soil. Excessive accumulation of nitrate gradually becomes the main reason for crop failure in vegetables and endangers human health. Therefore, the exploration of effective measures to decrease abundant nitrate accumulation in Chinese flowering cabbage is indispensable. In this study, a kind of plant growth regulator, fulvic acid (FA), was used to study its positive effect on alleviating the growth inhibition induced by excessive Ca(NO3)2 in Chinese flowering cabbage. Meanwhile, we conducted hydroponic cultivation and measured the growth indices, photosynthetic and oxidation-reduction characteristics of Chinese flowering cabbage with different treatments. After determining the optimal treatment concentration, we mainly designed four treatment groups, including Con, FA, Ca(NO3)2 and FA + Ca(NO3)2 cotreatment, to explore the regulatory mechanism by which FA alleviates Ca(NO3)2 stress in Chinese flowering cabbage. The results showed that FA can effectively alleviate the inhibitory effect of excessive Ca(NO3)2 on the growth of Chinese flowering cabbage seedlings. FA recovered the photosynthetic capacity of seedlings under Ca(NO3)2 stress. In addition, FA depressed the accumulation of O2·−, H2O2, malondialdehyde (MDA) and relative electrical conductivity, but increased the activity of antioxidant enzymes, including SOD, POD, CAT and APX, which finally enhanced the stress resistance of Chinese flowering cabbage to Ca(NO3)2. The expression of nitrate-related transporters, BcNRT1.1 and BcNRT1.5, was depressed by FA, which inhibited redundant nitrate absorption and restricted more nitrate from being stored in the roots instead of being transferred to the shoot. Ultimately, nitrate accumulation in the edible part was reduced in Chinese flowering cabbage seedlings. In general, exogenous FA may alleviate nitrate stress by improving oxidation resistance, photosynthetic capacity and redundant Ca(NO3)2 accumulation in Chinese flowering cabbage. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Effect of FA on the growth indices of Chinese flowering cabbage under Ca(NO<sub>3</sub>)<sub>2</sub> stress: (<b>a</b>) stands for the phenotype of Chinese flowering cabbage with different treatments. The plant height (<b>b</b>), root length (<b>c</b>), shoot fresh weight (<b>d</b>), root fresh weight (<b>e</b>), shoot dry weight (<b>f</b>) and root dry weight (<b>g</b>) of seedlings with different concentrations of FA treatment. The plants cultivated in quarter-strength Hoagland’s solution with 15 mM Ca(NO<sub>3</sub>)<sub>2</sub> were used as the control. The treatment groups were 80 mM Ca(NO<sub>3</sub>)<sub>2</sub> with different concentrations of FA, respectively. After different treatments for 5 d, the growth indices were determined with three independent replicates of 20 plants each. Different letters indicate a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effects of FA on photosynthetic parameters of Chinese flowering cabbage under Ca(NO<sub>3</sub>)<sub>2</sub> stress. Measurements of (<b>a</b>) transpiration rate (<span class="html-italic">Tr</span>), (<b>b</b>) intercellular CO<sub>2</sub> concentration (<span class="html-italic">Ci</span>), (<b>c</b>) net photosynthetic rate (<span class="html-italic">Pn</span>) and (<b>d</b>) stomatal conductance (<span class="html-italic">Gs</span>) with different treatments. The indices were determined with three independent replicates of 10 plants each (n = 10). Different letters indicate a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effect of FA on histochemical localization and concentrations of ROS, MDA and relative electric conductivity in Chinese flowering cabbage under Ca(NO<sub>3</sub>)<sub>2</sub> stress. The histochemical localization of O<sup>2·−</sup> (<b>a</b>) and H<sub>2</sub>O<sub>2</sub> (<b>b</b>) in leaves. The accumulation of O<sup>2·−</sup>, (<b>c</b>), H<sub>2</sub>O<sub>2</sub> (<b>d</b>), MDA (<b>e</b>) and the relative electric conductivity (<b>f</b>) in leaves with different treatments. The plants cultivated in quarter-strength Hoagland’s solution with 15 mM Ca(NO<sub>3</sub>)<sub>2</sub> were the control. Different letters indicated a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
Full article ">Figure 4
<p>Effect of FA on the activities of SOD (<b>a</b>), POD (<b>b</b>), APX (<b>c</b>) and CAT (<b>d</b>) in Chinese flowering cabbage seedlings under Ca(NO<sub>3</sub>)<sub>2</sub> stress. The plants cultivated in quarter-strength Hoagland’s solution with 15 mM Ca(NO<sub>3</sub>)<sub>2</sub> were the control. Different letters indicate a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effect of FA on root activity of Chinese flowering cabbage seedlings under Ca(NO<sub>3</sub>)<sub>2</sub> stress. The plants grown cultivated in quarter-strength Hoagland’s solution with 15 mM Ca(NO<sub>3</sub>)<sub>2</sub> were the control. Different letters indicate a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>Effect of FA on NO<sup>3−</sup> content, NO<sup>3−</sup>-N ratio (shoot/root) and nitrate relative genes in Chinese flowering cabbage seedlings under nitrate stress: (<b>a</b>) represents the content of NO<sup>3−</sup>; (<b>b</b>) shows the NO<sup>3−</sup>-N ratio (shoot/root) in different treatments; (<b>c</b>,<b>d</b>) represent the relative expression of <span class="html-italic">BcNRT1.1</span> and <span class="html-italic">BcNRT1.5</span>. The plants grown in quarter-strength Hoagland’s solution with 15 mM Ca(NO<sub>3</sub>)<sub>2</sub> were the control. Different letters indicate a significant difference at <span class="html-italic">p</span> ≤ 0.05.</p>
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<p>The mechanistic model of Chinese flowering cabbage in the alleviation of nitrate stress by FA. The growth depression of Chinese flowering cabbage induced by Ca(NO<sub>3</sub>)<sub>2</sub> was alleviated by FA. FA could promote photosynthetic capacity by increasing Pn, Tr, Gs and Ci. In addition, the activity of reductases including SOD, POD, APX and CAT was increased, but the accumulations of H<sub>2</sub>O<sub>2</sub>, O<sup>2</sup> and MDA were decreased by FA under Ca(NO<sub>3</sub>)<sub>2</sub> stress. Moreover, FA inhibited the expressions of <span class="html-italic">BcNRT1.1</span> and <span class="html-italic">BcNRT1.5</span>, which suppressed the uptake and translocation of Ca(NO<sub>3</sub>)<sub>2</sub>. In conclusion, the possible reasons for the alleviation of nitrate stress by FA in Chinese flowering cabbage seedlings were explored in this study through analyses of the photosystem, oxidation-reduction system and nitrate accumulation.</p>
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23 pages, 5096 KiB  
Article
The Effect of Phosphorus Fertilization on Transcriptome Expression Profile during Lentil Pod and Seed Development
by Ekaterini Koura, Adamantia Pistikoudi, Margaritis Tsifintaris, George Tsiolas, Evangelia Mouchtaropoulou, Christos Noutsos, Triantafyllos Karantakis, Athanasios Kouras, Athanasios Karanikolas, Anagnostis Argiriou, Irini Nianiou-Obeidat, Photini V. Mylona and Alexios N. Polidoros
Appl. Sci. 2023, 13(20), 11403; https://doi.org/10.3390/app132011403 - 17 Oct 2023
Viewed by 1141
Abstract
Seed coat hardness and water permeability, which are determined by the accumulation of tannins through the phenylpropanoid pathway in the seed, are important lentil quality characteristics. The impact of seeds’ developmental stage and phosphorus (P) fertilization levels on tannin accumulation is still under [...] Read more.
Seed coat hardness and water permeability, which are determined by the accumulation of tannins through the phenylpropanoid pathway in the seed, are important lentil quality characteristics. The impact of seeds’ developmental stage and phosphorus (P) fertilization levels on tannin accumulation is still under research. Through RNA sequencing, this study explored the effect of three P treatments (P0, 6 mg kg−1; P1, 15 mg kg−1; and P2, 21 mg kg−1) and three seed maturity stages (S1, immature 2 mm seed in a flat pod; S2, fully developed seed within the pod; and S3, mature seed at the beginning of the pod’s discoloration) on lentil gene expression. The key findings highlighted a significant influence of the seed maturity stage on phenylpropanoid genes, with S1 displaying the highest expression levels, and on phosphorus-related Gene Ontology (GO) terms that presented the highest number of downregulated genes in the S3 to S1 comparison. P exhibited a targeted effect on the flavanone 3-hydroxylase (F3H) and flavonol synthase (FLS) genes and specific gene clusters, as shown by the differential gene expression analysis. This study investigates the molecular mechanisms related to phosphorus fertilization and seed maturity stages that influence tannin accumulation, offering valuable information for the enhancement of lentil product quality through breeding programs. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>The bar chart indicates the differences among the pod maturity stages (S1, S2 and S3) in each P treatment (P0, P1 and P2) from the summarized data obtained from the MultiQC report following RNA sequencing procedure.</p>
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<p>Venn diagram depicting the total and the unique genes that were found among the three P comparisons.</p>
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<p>The bar chart indicates the upregulated and downregulated genes that were found to be differentially expressed with |log2(fold-change)| ≥ 1 and adjusted <span class="html-italic">p</span>-values &lt; 0.05.</p>
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<p>Individual heatmaps outlining the DEGs (DEGs) in P0 (<b>A</b>), P1 (<b>B</b>) and P2 (<b>C</b>) conditions. The expression is reported in log2(fold change) with z-score normalization. The hierarchical clustering was performed utilizing the Euclidean distance metric, and the clustering method includes the DEGs with expression levels in terms of −1 ≥ log2(fold-change) ≥ 1, while also ensuring their significance using a cut-off of an adjusted <span class="html-italic">p</span>-value ≤ 0.05. DEGs were clustered together according to seed maturity stage (S1, S2 and S3), and the z-scores from 1 to −1 indicate the intensity linked with normalized expression. The darker the red color is, the more upregulated the genes are, and the darker the blue, the more downregulated the genes are.</p>
Full article ">Figure 5
<p>Overall Heatmap illustrates the DEGs (DEGs) in all comparisons among the seed maturity stages in all three P treatments. Hierarchical clustering with Euclidean distance and normalized counts with z-scores. DEGs are considered the genes with −1 ≥ log2(fold-change) ≥ 1 and adjusted <span class="html-italic">p</span>-value ≤ 0.05.</p>
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<p>The butterfly charts indicate the number of upregulated and downregulated DEGs corresponding to the top 15 GO terms in each GO category (biological process (<b>A</b>), cellular component (<b>B</b>) and molecular function (<b>C</b>)).</p>
Full article ">Figure 7
<p>The bubble plots represent the KEGG pathways in each P treatment ((<b>A</b>) P0, (<b>B</b>) P1 and (<b>C</b>) P2) where the upregulated and downregulated DEGs were found. The <span class="html-italic">X</span>-axis represents the enrichment factor (DEGs enriched in a pathway/genes of all genes in the background gene set). The <span class="html-italic">Y</span>-axis represents the biosynthetic pathway, the size of the bubble indicates the amount of the DEGs and the color depends on the significance of the enrichment expressed in the −log10(q-value).</p>
Full article ">Figure 7 Cont.
<p>The bubble plots represent the KEGG pathways in each P treatment ((<b>A</b>) P0, (<b>B</b>) P1 and (<b>C</b>) P2) where the upregulated and downregulated DEGs were found. The <span class="html-italic">X</span>-axis represents the enrichment factor (DEGs enriched in a pathway/genes of all genes in the background gene set). The <span class="html-italic">Y</span>-axis represents the biosynthetic pathway, the size of the bubble indicates the amount of the DEGs and the color depends on the significance of the enrichment expressed in the −log10(q-value).</p>
Full article ">Figure 8
<p>Schematic illustration of the phenylpropanoid pathway leading to tannin formation in the lentil seed coat. The pathway demonstrates all the intermediate interventions of the enzymes contributing to proanthocyanidins biosynthesis. Abbreviations: PAL, phenylalanine ammonia lyase; CHS, chalcone synthase; F3H, flavanone-3-hydroxylase; F3′5′H, flavonoid-3′,5′-hydroxylase; FLS, flavonol synthase; DFR, dihydroflavonol 4-reductase; ANR, anthocyanidin reductase; and LAR, leucoanthocyanidin reductase.</p>
Full article ">Figure 9
<p>Volcano plots demonstrate the upregulated and downregulated DEGs related to the phenylpropanoid pathway. (<b>A</b>) Total DEGs related to the phenylpropanoid pathway, (<b>B</b>) DEGs among the P treatments considering the P0 as the control condition and (<b>C</b>) DEGs among the pod maturity stages in each P treatment considering the S1 as the control stage. <span class="html-italic">X</span>-axis: −log10(q-value) and <span class="html-italic">Y</span>-axis: −log10(0.05).</p>
Full article ">Figure 10
<p>Heatmap illustrating the DEGs of the phenylpropanoid pathway that were found in key positions in the pathway, and the alterations in their expression determine the proanthocyanins accumulation in the seed. Hierarchical clustering with Pearson correlation and normalized counts indicates the impact of seed maturity stage and P treatment in these genes of the pathway.</p>
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<p>RT-qPCR showing the relative expression of F3′H, bHLH, DFR and DHM between the S1 and S2 and the S1 and S3 stages, using S1 as control, and between the S2 and S3 stages, using S2 as the control, in all three P treatments.</p>
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19 pages, 4524 KiB  
Article
Effects of Configuration Mode on the Light-Response Characteristics and Dry Matter Accumulation of Cotton under Jujube–Cotton Intercropping
by Tiantian Li, Peijuan Wang, Yanfang Li, Ling Li, Ruiya Kong, Wenxia Fan, Wen Yin, Zhilong Fan, Quanzhong Wu, Yunlong Zhai, Guodong Chen and Sumei Wan
Appl. Sci. 2023, 13(4), 2427; https://doi.org/10.3390/app13042427 - 13 Feb 2023
Cited by 3 | Viewed by 1567
Abstract
The current study evaluated the canopy cover competition for light and heat in a jujube–cotton intercropping system to measure the growth and yield performance of cotton, and the optimal cotton planting configuration. In this study, a two-year field experiment (2020 and 2021) was [...] Read more.
The current study evaluated the canopy cover competition for light and heat in a jujube–cotton intercropping system to measure the growth and yield performance of cotton, and the optimal cotton planting configuration. In this study, a two-year field experiment (2020 and 2021) was studied with different spacing configuration modes designed as follows: two rows of cotton (CM1) planted 1.4 m apart, four rows of cotton (CM2) planted 1.0 m apart, and six rows of cotton (CM3) planted 0.5 m apart, spacing intercropped jujube trees, respectively. The control treatment consisted of monocultured cotton (CK). The light-response curve was plotted using an LI-6400 XT photosynthesis instrument. Based on the modified rectangular hyperbola model, the photosynthetic characteristics were fitted, and the dry matter distribution characteristics and yield were compared. The results showed that with the increase in photosynthetically active radiation, the net photosynthetic rate (Pn) of each growth phase decreased first and then increased rapidly in the range of 0–200 μmol·m−2·s−1 and then decreased slightly after the inflection point (light saturation point). The light-response curves of stomatal conductance and transpiration rate showed a linear relationship. The trend in the intercellular CO2 concentration response curve was opposite to that of Pn. The maximum Pn (Pmax) of intercropped cotton was significantly impacted by configuration modes, of which CM2 treatment generated 1.8% and 22.8% higher Pmax than the CM1 and CM3 treatments. The cotton yield in the two years ranked as CK > CM3 > CM2 > CM1, and the average land equivalent ratio of CM2 was significantly higher than that of CM3 (22.4%) and CM1 (95.9%). The six-row configuration resulted in greater competition with the trees, which affected the accumulation of below-ground dry matter, while the four-row configuration formed a reasonable canopy structure, which ensured that more photosynthetic substances were distributed to the generative organs. The reasonable four-rows configuration mode may improve the photosynthetic efficiency of intercropped cotton economic yield. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Study area map. (<b>a</b>) The location of Xinjiang province; (<b>b</b>) the location of the Alar city site; (<b>c</b>) the image of the experimental field (red box area) obtained on 16 September 2021 using a unmanned air vehicle.</p>
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<p>The rainfall and daily average temperature of the experimental field in 2020 and 2021.</p>
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<p>Diagram of field configuration modes.</p>
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<p>The rectangular hyperbolic correction model fits the light-response curve. (T: leaf temperature; Ca: reference chamber CO<sub>2</sub> concentration; R<sup>2</sup>: coefficient of determination; Pmax: the maximum net photosynthetic rate; LSP: light saturation point; LCP: light compensation point; Rd: dark respiration rate; AQE: apparent quantum efficiency).</p>
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<p>Light-response curves of cotton net photosynthetic rate (Pn) under different configuration modes. (<b>A</b>: seedling period; <b>B</b>: budding period; <b>C</b>: flowering and boll development period; <b>D</b>: maturation period.).</p>
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<p>Light-response curves of cotton transpiration rate (Tr) under different configuration modes. (<b>A</b>): seedling period; (<b>B</b>): budding period; (<b>C</b>): flowering and boll development period; (<b>D</b>): maturation period.).</p>
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<p>Light-response curves of cotton stomatal conductance (Gs) under different configuration modes. (<b>A</b>): seedling period; (<b>B</b>): budding period; (<b>C</b>): flowering and boll development period; (<b>D</b>): maturation period.)</p>
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<p>Light-response curves of cotton intercellular CO<sub>2</sub> concentration (Ci) under different configuration modes. (<b>A</b>): seedling period; (<b>B</b>): budding period; (<b>C</b>): flowering and boll development period; (<b>D</b>): maturation period.).</p>
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<p>Light-response curves of cotton leaf instantaneous water-use efficiency (WUE, μmol·mmol<sup>−1</sup>) under different configuration modes. (<b>A</b>): seedling period; (<b>B</b>): budding period; (<b>C</b>): flowering and boll development period; (<b>D</b>): maturation period.).</p>
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<p>Effects of different configuration modes on the dry matter accumulation of the aboveground and belowground parts of the cotton plants. Note: the least significant difference was analyzed in years.</p>
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<p>Effects of different configuration treatments on cotton yield and yield components. * represents significant difference at the <span class="html-italic">p</span> &gt; 0.05 level.</p>
Full article ">Figure 12
<p>Principal component analysis for different configuration treatments. LSP: light saturation point; LCP: light compensation point; Pmax: the maximum net photosynthetic rate; AQE: apparent quantum efficiency; Rd: dark respiration rate; LER: the land equivalent ratio; Bw: single boll weight; Lp: lint percentage; Bpp: boll number per plant; Dwpp: dry weight per plant.</p>
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16 pages, 7766 KiB  
Article
Growth Response of Tartary Buckwheat to Plastic Mulching and Fertilization on Semiarid Land
by Yanjie Fang, Xianfeng Yu, Huizhi Hou, Hongli Wang, Yifan Ma, Guoping Zhang, Kangning Lei, Jiade Yin and Xucheng Zhang
Appl. Sci. 2023, 13(4), 2232; https://doi.org/10.3390/app13042232 - 9 Feb 2023
Cited by 1 | Viewed by 1161
Abstract
Integrated hole-sowing, fertilization, and plastic mulching techniques are common agronomic practices applied to collect rainwater and to improve rainwater utilization in semiarid rain-fed regions. However, little is known about the growth responses of tartary buckwheat (Fagopyrum tataricum L.) to the practices adopted [...] Read more.
Integrated hole-sowing, fertilization, and plastic mulching techniques are common agronomic practices applied to collect rainwater and to improve rainwater utilization in semiarid rain-fed regions. However, little is known about the growth responses of tartary buckwheat (Fagopyrum tataricum L.) to the practices adopted in semiarid areas of Loess Plateau in Northwest China. To address the concerns, a long-term field experiment was conducted in 2015–2017. Four fertilization levels, namely, high fertilization level (N–P2O5–K2O: 120–90–60 kg ha−1, HF), moderate fertilization level (80–60–40 kg ha−1, MF), low fertilization level (40–30–20 kg ha−1, LF), and zero fertilization level (ZF), were applied to hole-sown tartary buckwheat with whole plastic mulching, in comparison to the control with no-mulching and zero fertilization (CK). Several key growth-influencing indicators were measured in the consecutive experimental years, including soil temperature (Ts), soil water storage (SWS), leaf area index (LAI), dry matter (DM), and grain yield. The results showed that in different precipitation years, 2015 (193 ± 23 mm), 2016 (149 ± 19 mm), and 2017 (243 ± 28 mm), the ZF, LF, MF, and HF treatments had the potential to optimize Ts in 0~25 cm soil layers (at 5 cm interval). The four treatments improved SWS in 0~300 cm soil layers by 3.5% and increased soil water consumption in the pre-anthesis period by 22.4%, compared with CK. Moreover, the four treatments shortened the pre-anthesis growth period by 0.4~5.4 d, while extended the post-anthesis growth period by 5.7~10.0 d, giving rise to an overall extension of 0.6~5.0 d for a whole growth period of tartary buckwheat. Furthermore, the ZF, LF, MF, and HF treatments increased LAI by 4.4~225.3% and DM weight by 41.5~238.0%. The rain yield of the four treatments was increased by 14.0~130.4%, and water use efficiency (WUE) was improved by 11.3~102.7%, especially for the LF treatment, compared with CK. The study indicated that the technique of hole-sowing and plastic mulching combined with a low fertilization rate was an effective measure for tartary buckwheat to optimize crop growth and to boost grain yield and WUE on semiarid lands. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Daily precipitation and mean air temperature during the growing seasons of tartary buckwheat, 2015–2017, at Dingxi Dryland Experimental Station.</p>
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<p>(<b>a</b>) Experimental plots after sowing, mulching, and fertilizer application using an integrated seed drill and mulching machine; (<b>b</b>) different experimental treatments of film mulching and fertilization levels at Dingxi Dryland Experimental Station.</p>
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<p>Dynamics of average soil temperature (T<sub>s</sub>, °C) in 0–25 cm soil layer during the growing seasons of tartary buckwheat in 2015–2017. HF: high fertilization level; MF: moderate fertilization level; LF: low fertilization level; ZF: zero fertilization; CK: the control with no mulching and zero fertilization. So–Se: sowing–seeding; Se–Br: seeding–branching; Br–Fl: branching–flowering; Fl–Fi: flowering–filling; Fi–Ma: filling–maturity. Bars are error bars of the means (n = 3).</p>
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<p>Soil water storage (SWS, mm) in the 0~300 cm soil depth at different growth stages of tartary buckwheat in 2015–2017. In each growing season, mean values (n = 3) followed by different letters within a column are significantly different among treatments at <span class="html-italic">p</span> &lt; 0.05. Bars are error errors of the means (n = 3).</p>
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<p>Crop water consumption of tartary buckwheat during the growing seasons of 2015–2017. In each growing season, mean values (n = 3) followed by different letters within a column are significantly different among treatments at <span class="html-italic">p</span> &lt; 0.05. Bars are error bars of the means (n = 3).</p>
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<p>Effects of fertilization application levels on growth period of tartary buckwheat during 2015–2017. HF: plastic mulching and high fertilization; MF: plastic mulching and moderate fertilization; LF: plastic mulching and low fertilization; ZF: plastic mulching and zero fertilization; CK: traditional non-mulching and zero fertilization. So–Se: sowing–seeding; Se–Br: seeding–branching; Br–Fl: branching–flowering; Fl–Fi: flowering–filling; Fi–Ma: filling–maturity.</p>
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<p>Leaf area index at branching, flowering, and filling stages of tartary buckwheat in 2015–2017. HF: plastic mulching and high fertilization; MF: plastic mulching and moderate fertilization; LF: plastic mulching and low fertilization; ZF: plastic mulching and zero fertilization; CK: traditional non-mulching and zero fertilization. In each growing season, mean values (n = 3) followed by different letters within a column are significantly different among treatments at <span class="html-italic">p</span> &lt; 0.05. Bars are error bars of the means (n = 3).</p>
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<p>Dry matter accumulation at seeding, flowering, and maturity stages of tartary buckwheat treated with different fertilization application levels. In each growing season, mean values (n = 3) followed by different letters within a column are significantly different among treatments (<span class="html-italic">p</span> &lt; 0.05). Bars are error bars of the means (n = 3).</p>
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<p>Effects of fertilization application and mulching treatments on grain yield and water use efficiency of tartary buckwheat in 2015–2017. In each year, mean values (n = 3) followed by different letters within a column are significantly different among treatments (<span class="html-italic">p</span> &lt; 0.05). Bars are error bars of the means (n = 3).</p>
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16 pages, 4072 KiB  
Article
Preliminary Results Detailing the Effect of the Cultivation System of Mulched Ridge with Double Row on Solanaceous Vegetables Obtained by Using the 2ZBX-2A Vegetable Transplanter
by Tengfei He, Hui Li, Song Shi, Xuechuan Liu, Hu Liu, Yupeng Shi, Wei Jiao and Jilei Zhou
Appl. Sci. 2023, 13(2), 1092; https://doi.org/10.3390/app13021092 - 13 Jan 2023
Cited by 3 | Viewed by 1681
Abstract
China is the largest vegetable producer in the world, and vegetable production is more geographically concentrated in the Huang-Huai-Hai region and the Yangtze River Basin. There are significant challenges ahead for increasing the average yields of the vegetables in this region. The effects [...] Read more.
China is the largest vegetable producer in the world, and vegetable production is more geographically concentrated in the Huang-Huai-Hai region and the Yangtze River Basin. There are significant challenges ahead for increasing the average yields of the vegetables in this region. The effects of a cultivation system, a mulched ridge with a double row (MRDR), were evaluated by using the 2ZBX-2A vegetable transplanter newly designed in this paper. The key parameters of the equipment were designed and optimized by using the human–computer interaction method and the discrete element method according to agronomy requirements. Compared with the traditional ridge (TR) system on two typical solanaceous vegetables (eggplant and capsicum), the uniformities of the plant spacing and the planting depth in the MRDR system were significantly improved. Finally, the fresh fruit yield in the MRDR system increased significantly (p < 0.05) by 40.8% and 35.3% compared with that in the TR system for eggplant and capsicum, respectively. In addition, the water use efficiency (WUE) was also 54.9~59.7% higher under the MRDR system than under the TR system. All the results indicate that the MRDR system has the potential to improve the yields and WUE of solanaceous vegetables in the Huang-Huai-Hai Plain of China. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Structure of the 2ZBX-2A compound vegetable transplanter. Note: 1, three-point hitch system; 2, transmission system; 3, watering system; 4, rotary component; 5, ridging opener; 6, plastic film frame; 7, plug seedling shelf; 8, soil-covering disc; 9, depth control system; 10, double-crank five-bar planting mechanism; 11, rotary delivery mechanism; 12, chain; 13, adjustable supporting wheel.</p>
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<p>Transmission system of the 2ZBX-2A compound vegetable transplanter. Note: 1, sprocket; 2, chain; 3, rotary blade group; 4, coupling; 5, gearbox; 6, rotary delivery mechanism; 7, double-crank five-bar planting mechanism; 8, frame; 9, ground wheel.</p>
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<p>Schematic diagram of cultivation system of mulched ridge with double row.</p>
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<p>Construction model of the double-crank five-bar planting mechanism. Note: <span class="html-italic">O</span>, <span class="html-italic">A</span>, <span class="html-italic">B</span>, <span class="html-italic">C</span>, <span class="html-italic">D</span>, <span class="html-italic">E</span>, <span class="html-italic">F</span>, <span class="html-italic">G</span>, and <span class="html-italic">L</span>, hinge points of each bar; <span class="html-italic">l</span><sub>1</sub>, length of crank <span class="html-italic">OA</span>; <span class="html-italic">l</span><sub>2</sub>, length of crank <span class="html-italic">AB</span>; <span class="html-italic">l</span><sub>3</sub>, length of connecting rod <span class="html-italic">BL</span>; <span class="html-italic">l</span><sub>4</sub>, length of link <span class="html-italic">CD</span>; <span class="html-italic">l</span><sub>5</sub>, length of crank <span class="html-italic">OD</span>; <span class="html-italic">l</span><sub>6</sub>, length of link <span class="html-italic">CE</span>; <span class="html-italic">l</span><sub>7</sub>, length of the lower end of planter <span class="html-italic">EG</span>; <span class="html-italic">l</span><sub>8</sub>, length of the top end of planter <span class="html-italic">EG</span>; <span class="html-italic">θ</span><sub>1</sub>, initial installation angle of rack <span class="html-italic">OA</span>; <span class="html-italic">θ</span><sub>2</sub>, initial installation angle of rack <span class="html-italic">OA</span>; <span class="html-italic">θ</span><sub>3</sub>, angular displacement of link <span class="html-italic">BC</span>; <span class="html-italic">θ</span><sub>4</sub>, angular displacement of link <span class="html-italic">DC</span>; <span class="html-italic">θ</span><sub>5</sub>, initial installation angle of crank <span class="html-italic">OD</span>; <span class="html-italic">θ</span><sub>6</sub>, fixed connection angle of planter <span class="html-italic">FG</span> and connecting rod <span class="html-italic">CE</span>; <span class="html-italic">θ</span><sub>7</sub>, angular displacement of link <span class="html-italic">BC</span>.</p>
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<p>Human–computer visual interface of five-bar transplanting mechanism. Note: ①, auxiliary analysis and optimization interface includes image display area; ②, parameter range input determination area; ③, control panel area; ④, velocity and acceleration analysis area.</p>
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<p>Schematic diagram of the opening and closing control mechanism of the planting duckbill. Note: <span class="html-italic">I</span>, the end point of the transplant duck’s beak; <span class="html-italic">O</span><sub>4</sub>, the pivot center of the duck’s beak; <span class="html-italic">M</span> and <span class="html-italic">M</span>’, the articulation points on the transplant duck’s beak; <span class="html-italic">RP</span>, the pull cable acting on the hinge point <span class="html-italic">P</span>; <span class="html-italic">O</span><sub>3</sub>, the cam rotation center; <span class="html-italic">T</span>, the lowest point of the roller center; <span class="html-italic">T</span>’, the highest point of the roller center; <span class="html-italic">R</span>, the lowest point of the drive cable; <span class="html-italic">R</span>’, the highest point of the drive cable; <span class="html-italic">μ</span>, the initial angle of the pendulum <span class="html-italic">O</span><sub>1</sub><span class="html-italic">T</span>; <span class="html-italic">β</span>, the fixation angle of the swing rod <span class="html-italic">O</span><sub>1</sub><span class="html-italic">T</span> and pull rod <span class="html-italic">TR</span>; <span class="html-italic">φ</span>, the swing angle of the pendulum rod <span class="html-italic">O</span><sub>1</sub><span class="html-italic">T</span>; <span class="html-italic">γ</span>, the angle between the <span class="html-italic">KI</span> side of the planting duckbill and the <span class="html-italic">x</span> direction.</p>
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<p>DEM simulation of the interaction between the plug seedling and the planting duckbill.</p>
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<p>Schematic diagram of the cam, which controls the opening and closing of the planting duckbill. (<b>a</b>) Work sections of the cam and corresponding location on relative trajectory; (<b>b</b>) coordinate system of oscillating roller push rod cam mechanism. Note: <span class="html-italic">U</span>, the starting point of seedling planting; <span class="html-italic">V</span>, the end point of seedling planting; <span class="html-italic">W</span>, the closed point of duckbill; <span class="html-italic">X</span>, the start point of seedling pickup.</p>
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<p>The field experiments. (<b>a</b>) The comparative treatments; (<b>b</b>) the 2ZBX-2A compound vegetable transplanter under the MRDR system.</p>
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<p>Fresh yields of eggplant and capsicum under the MRDR and TR cultivation systems. Note: means of the same crop within a column followed by the same letters are not significantly different at <span class="html-italic">p</span> = 0.05.</p>
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13 pages, 2516 KiB  
Article
Effect of Border Width and Micro-Sprinkling Hose Irrigation on Soil Moisture Distribution and Irrigation Quality for Wheat Crops
by Shengfeng Wang, Pengwei Ji, Xinqiang Qiu, Haochen Yang, Yanping Wang, Hengkang Zhu, Min Wang and Hongdong Li
Appl. Sci. 2022, 12(21), 10954; https://doi.org/10.3390/app122110954 - 28 Oct 2022
Cited by 1 | Viewed by 1435
Abstract
Micro-sprinkling irrigation is a small-flow irrigation technology that uses the grouped outlets on the micro-sprinkling hoses to spray the pressure water evenly in the field. Plants’ barriers during the middle to late growth period of winter wheat significantly reduce the irrigation quality of [...] Read more.
Micro-sprinkling irrigation is a small-flow irrigation technology that uses the grouped outlets on the micro-sprinkling hoses to spray the pressure water evenly in the field. Plants’ barriers during the middle to late growth period of winter wheat significantly reduce the irrigation quality of the micro-spray system. It is still unclear whether soil border width in wheat fields can alleviate the negative effect. In this study, a popularly-used variety (c.v. ZM 369) was adopted to test the mitigation effect of soil borders on irrigation quality, as well as soil moisture distribution, in wheat fields. Two irrigation quotas (i.e., 75 mm and 45 mm per time) and three border widths (i.e., 2.3 m, 3.3 m, and 5.3 m) were arranged in a randomized block design in the experimental years of 2020–2022. Soil moisture distribution and irrigation quality during the middle to late growth period of winter wheat (i.e., jointing to heading stage and grain filling stage) were investigated, as well as the effects on grain yield and water use efficiency (WUE). The results showed that irrigation water distribution in the direction perpendicular to micro-spray tapes generally decreased with the distance from tapes increasing. The maximum difference between the irrigation amount and water collected under the canopy was 134 mm. The uniformity coefficient of soil moisture distribution was increased by 25.8% with a 5.3 m border width compared to a 2.3 m width. Although an irrigation quota of 75 mm was beneficial for ensuring better irrigation uniformity and more stable grain yield, grain yield and WUE were produced with an irrigation quota of 45 mm. In conclusion, it is appropriate to increase border width and adopt a small quota for the micro-spray system in the North China Plain for wheat crops. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>The layout of soil moisture distribution experiment in the second experimental year of 2021–2022.</p>
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<p>Variations in precipitation, temperature, and reference crop evapotranspiration after winter wheat re-greening.</p>
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<p>Dynamics of soil moisture content (SMC, cm<sup>3</sup> cm<sup>−3</sup>) in 0–100 cm soil layers before irrigation (BI) and after irrigation (AI) events at (<b>A</b>–<b>C</b>) booting stage and (<b>D</b>–<b>F</b>) filling stage of winter wheat.</p>
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<p>Distribution of soil moisture content (<b>A</b>,<b>C</b>,<b>E</b>) and grain yield (<b>B</b>,<b>D</b>,<b>F</b>) at different positions from the borders with 75 mm irrigation quota.</p>
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<p>Distribution of soil moisture content (<b>A</b>,<b>C</b>,<b>E</b>) and grain yield (<b>B</b>,<b>D</b>,<b>F</b>) at different positions from the borders with a 45 mm irrigation quota. White lines indicate the positions of micro-spray tapes between borders.</p>
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<p>Relationship between grain yield and water use efficiency, and between water consumption and water use efficiency for winter wheat.</p>
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15 pages, 3016 KiB  
Article
Hybrid Genetic Algorithm−Based BP Neural Network Models Optimize Estimation Performance of Reference Crop Evapotranspiration in China
by Anzhen Qin, Zhilong Fan and Liuzeng Zhang
Appl. Sci. 2022, 12(20), 10689; https://doi.org/10.3390/app122010689 - 21 Oct 2022
Cited by 4 | Viewed by 1704
Abstract
Precise estimation of reference evapotranspiration (ET0) is of significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different combinations of meteorological data across various [...] Read more.
Precise estimation of reference evapotranspiration (ET0) is of significant importance in hydrologic processes. In this study, a genetic algorithm (GA) optimized back propagation (BP) neural network model was developed to estimate ET0 using different combinations of meteorological data across various climatic zones and seasons in China. Fourteen climatic locations were selected to represent five major climates. Meteorological datasets in 2018–2020, including maximum, minimum and mean air temperature (Tmax, Tmin, Tmean, °C) and diurnal temperature range (∆T, °C), solar radiation (Ra, MJ m−2 d−1), sunshine duration (S, h), relative humidity (RH, %) and wind speed (U2, m s−1), were first subjected to correlation analysis to determine which variables were suitable as input parameters. Datasets in 2018 and 2019 were utilized for training the models, while datasets in 2020 were for testing. Coefficients of determination (r2) of 0.50 and 0.70 were adopted as threshold values for selection of correlated variables to run the models. Results showed that U2 had the least r2 with ET0, followed by ∆T. Tmax had the greatest r2 with ET0, followed by Tmean, Ra and Tmin. GA significantly improved the performance of BP models across different climatic zones, with the accuracy of GABP models significantly higher than that of BP models. GABP0.5 model (input variables based on r2 > 0.50) had the best ET0 estimation performance for different seasons and significantly reduced estimation errors, especially for autumn and winter seasons whose errors were larger with other BP and GABP models. GABP0.5 model using radiation/temperature data is highly recommended as a promising tool for modelling and predicting ET0 in various climatic locations. Full article
(This article belongs to the Special Issue Advanced Plant Biotechnology in Sustainable Agriculture)
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<p>Geographic locations of the 14 national meteorological stations across different climatic zones of China. TC, temperate continental zone; TM, temperate monsoon zone; MP, mountain plateau zone; STM, subtropical monsoon zone; TPM, tropical monsoon zone.</p>
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<p>Workflow of the proposed genetic algorithm optimized BP neural network models.</p>
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<p>Coefficients of determination (r<sup>2</sup>) between ET<sub>0</sub> estimates (from FAO PM method) and models’ meteorological parameters from the 14 national meteorological stations. T<sub>max</sub>, T<sub>min</sub> and T<sub>mean</sub> represent maximum, minimum and mean temperature (°C); ∆T is diurnal temperature range (°C), R<sub>a</sub> stands for total solar radiation (MJ m<sup>−2</sup> d<sup>−1</sup>), S, RH and U<sub>2</sub> mean actual sunshine duration (h), relative humidity (%) and wind speed at wind speed at 2 m height (m s<sup>−1</sup>).</p>
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<p>ET<sub>0</sub> estimation performance in testing phase as indicated by (<b>A</b>) root mean square error (RMSE), (<b>B</b>) correlation coefficient (R), (<b>C</b>) mean absolute error (MAE) and (<b>D</b>) mean bias error (MBE) of BP<sub>0.5</sub>, BP<sub>0.7</sub>, GABP<sub>0.5</sub>, GABP<sub>0.7</sub> models for the 14 national meteorological stations.</p>
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<p>Spatial distribution of seasonal ET<sub>0</sub> in testing phase predicted by (<b>A</b>) FAO PM method, (<b>B</b>) BP<sub>0.5</sub>, (<b>C</b>) BP<sub>0.7</sub>, (<b>D</b>) GABP<sub>0.5</sub> and (<b>E</b>) GABP<sub>0.7</sub> models for the 14 national meteorological stations in China.</p>
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<p>(<b>A</b>) Coefficients of determination (r<sup>2</sup>) between meteorological factors and ET<sub>0</sub>, (<b>B</b>) box chart showing the statistical distribution of r<sup>2</sup> for meteorological factors.</p>
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<p>Graphic showing climatic and seasonal effects on ET<sub>0</sub> estimation of models.</p>
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<p>Graphic showing GABP model performance for ET<sub>0</sub> estimation compared with BP models.</p>
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