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Article

The Changes in Various Physio-Biochemical Parameters and Yield Traits of Faba Bean Due to Humic Acid Plus 6-Benzylaminopurine Application under Deficit Irrigation

by
Khaled M. A. Ramadan
1,2,
Hossam S. El-Beltagi
3,4,*,
Taia A. Abd El-Mageed
5,
Hani S. Saudy
6,*,
Hala Hazam Al-Otaibi
7 and
Mohamed A. A. Mahmoud
2
1
Central Laboratories, Department of Chemistry, King Faisal University, Al-Ahsa 31982, Saudi Arabia
2
Department of Agricultural Biochemistry, Faculty of Agriculture, Ain Shams University, Hadayek Shobra, Cairo 11241, Egypt
3
Agricultural Biotechnology Department, College of Agriculture and Food Sciences, King Faisal University, Al-Ahsa 31982, Saudi Arabia
4
Biochemistry Department, Faculty of Agriculture, Cairo University, Gamma St., Giza 12613, Egypt
5
Soil and Water Department, Faculty of Agriculture, Fayoum University, Fayoum 63514, Egypt
6
Agronomy Department, Faculty of Agriculture, Ain Shams University, 68-Hadayek Shoubra, Cairo 11241, Egypt
7
Food and Nutrition Science Department, Agricultural Science and Food, King Faisal University, Al-Ahsa 31982, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Agronomy 2023, 13(5), 1227; https://doi.org/10.3390/agronomy13051227
Submission received: 29 March 2023 / Revised: 24 April 2023 / Accepted: 25 April 2023 / Published: 26 April 2023
(This article belongs to the Special Issue Recent Insights in Sustainable Agriculture and Nutrient Management)

Abstract

:
Implementing the deficit irrigation pattern has become a major strategy in crop production systems. However, using less water than is required to irrigate crops is associated with changes in plant physiology and lower productivity. Therefore, the current research aimed to assess the integrated effect of humic acid and cytokinin on faba bean under water deficit. Under two irrigation levels (full irrigation, FI and deficit irrigation, DI), two humic acid treatments (without addition, H0 and with addition of 10 kg ha−1, H10) and two cytokinin concentrations (without spray, C0 and spraying with 25 mg L−1, C25), faba bean growth, physiology, and productivity were evaluated. The experiment was implemented for two winter seasons of 2019/20 and 2020/21 and performed in a split–split plots design with three replicates. The findings revealed that under low water supply (DI), H10 plus C25 was the most efficient treatment for enhancing faba bean growth. All physiological faba bean traits estimated under DI showed remarkable increases with the application of H10 plus C25 in both seasons. The increases in proline, catalase, and total soluble sugars under DI due to H10 plus C25 were 31.4 and 31.8%, 51.9 and 55.1% as well as 43.8 and 46.6%, in the first and second seasons, respectively. There was no significant difference between FI × H10 plus C25 and DI × H10 plus C25 in phosphorus content in both seasons. FI × H10 plus C25 and DI × H10 plus C25 in the second season produced a similar number of pods plant−1 and seed yield of faba bean. Conclusively, the combined application of humic plus cytokinin achieved physiological and nutrient homeostasis, adjusting the biochemical compounds in faba bean under water deficit.

1. Introduction

Faba bean (Vicia faba L.), as a member of the Fabaceae family, has seeds rich in protein, minerals, and vitamins [1]. Unfortunately, the yield obtained from stressed faba bean plants had undesirable properties both in terms of quantity and quality [2,3,4].
It is well documented that drought causes changes in plant physiology [5] and biochemical constituents [6,7]. Furthermore, water deficit disrupts nutrient homeostasis in plants. Thus, lower crop yield and quality are obtained under drought conditions [8]. Several physiological and biochemical indices are associated with drought tolerance in plants. Plants respond and become acclimatized to drought stress by modulating many physiological, biochemical, and molecular aspects [9]. Under drought, the metabolic activity in plant cells is influenced by the relative water content (RWC), which decreases in drought-affected plant tissues [10]. Further, the membrane stability index (MSI) is a physiological indicator for drought tolerance, since a reduction in cell membrane stability refers to reactive oxygen species (ROS)-generated oxidation of lipid peroxidation [11]. Furthermore, photo-oxidation and disintegration of chlorophyll, expressed in the chlorophyll stability index (CSI), are features reflect strongly drought-affected plant status, correlating with crop yield [12]. Additionally, drought tolerance in plants is positively correlated with maintaining a high level of enzymatic and non-enzymatic antioxidants [13,14,15]. Herein, proline as a non-enzymatic antioxidant and catalase as an enzymatic antioxidant can scavenge and/or suppress the production of ROS in plant organelles under oxidative stresses [10,16].
Humic acid is involved in numerous organic complexes and has various active chemical groups [17,18]. In these compounds, the abundance of humic acid improves the availability of nutrients in soil and mineral uptake by plants [19,20,21,22]. Applications of humic acid serve the plant via increasing root growth, stimulating soil microorganisms, increasing water holding, or soil aggregation [19,23]. Consequently, humic acid-treated plants had better root growth, hence productivity, than non-treated plants [17,24]. Further, drought can be effectively overcome by the exogenous application of plant growth regulators to motivate plant tolerance to various abiotic stresses [25]. The increases associated with the hormonal products for plant tolerance to various stresses can be attributed to stimulating plants’ detoxifying potential and adjusting physiological behavior [26,27].
Furthermore, growth regulators can mitigate the adverse impacts of drought by increasing and upregulating antioxidant-based enzymes and osmo-protectants, reducing the peroxidation of lipids [28,29]. Cytokinins, as distinctive growth regulators, have diverse roles in plant development, involving cell growth and differentiation [30]. Further, reports have alluded the significance of cytokinins as moderators of cellular readjustment responses to drought [31,32]. Cytokinin compound application alleviated osmotic stress by delaying leaf senescence and reducing physiological deterioration [33,34]. There is copious evidence showing that cytokinins assist in better plant growth under osmotic stress conditions, eventually leading to improvements in crop yield [35,36,37]. Despite the clear role of humic substances and growth regulators on plant growth and development, the interactive effect of humic acid and cytokinin on faba bean under water deficiency requires further investigation.
In this work, we hypothesize that humic acid plus cytokinin can increase physiological balance and improve the quantity and quality of faba bean seeds. Therefore, this study aimed to assess the changes in growth, physiological status, biochemical compounds, nutrient content and yield traits of faba bean due to humic acid and cytokinin interaction under full and deficit irrigation.

2. Materials and Methods

2.1. Experimental Site Description

At a private farm in the El Fayoum region of Egypt (latitudes 29°06′ and 29°35′ N, longitudes 30°26′ and 31°05′ E, and altitude: −3 m.a.s.l.), field trials were conducted over two succeeding seasons (2019/20 and 2020/21). Additionally, the soil’s primary physiochemical properties were assessed in accordance with Klute and Dirksen and Page [38,39]. The soil is a loamy sand texture containing sand (75.4%), silt (12.5%), and clay (12.1%), with a bulk density of 1.54 g cm−3, a pH of 7.66, an electrical conductivity of saturation extract, ECe, of 5.24 dSm−1, and a cation exchange capacity of 12.3 cmol kg−1, as well as the following amounts of nutrients: calcium carbonate (4.2%), organic carbon (1.06%), available N, (57.2 mg kg−1 soil), available P (4.4 mg kg−1 soil), available K (52.1 mg kg−1 soil) and available Zn (0.78 mg kg−1 soil). The experimental site was located in an arid region with moderate winters and rare precipitation.

2.2. Agronomic Management and Treatments

Faba bean healthy seeds (Vicia faba. L., cultivar Sakha 1) were sown on October 15 and 20 in 2019 and 2020 and harvested on April 21 and 27 in 2020 and 2021, respectively. Treatments involved the combination of irrigation levels, humic acid, and cytokinin spray. Two irrigation levels based on crop evapotranspiration (Etc), full irrigation (FI, 100% of Etc), and deficit irrigation (DI, 80% of Etc) were applied. There were two rates of humic acid (without H0 and with the application of 10 kg ha−1, H10) as well as foliar spray with synthetic cytokinin, 6-benzylaminopurine (without spraying, plants were sprayed with distilled water C0, and spraying with 25 mg L−1, C25). Plants were treated with cytokinin twice at 30 and 45 days after sowing. Humic acid was added once during planting and it was mixed well with the appropriate amount of sand (~200 kg), and then evenly distributed over the top layer of the soil and mixed in the rhizosphere zone. Irrigation levels were allocated in main plots, while humic acid was distributed in the sub-plots. Finally, the cytokinin levels were decreased in the sub-sub-plots. A total of nine treatments were replicated three times via a randomized complete split–split plot block design, resulting in a total of 24 experimental plots. The experimental plots were 12.8 m2 in size (0.8 × 16 m), with two planting rows; the rows were 1 m in width, with 15 cm spacing between each plant. A drip irrigation system was utilized, and 2 drip lines were placed 30 cm apart in every elementary test plot. Irrigation treatments began after the full germination stage. Phosphorus (P) and potassium (K) fertilizers were added at planting at a rate of 75 kg P ha−1 in the form of calcium superphosphate (15.5% P2O5) and 120 kg K ha−1 in the form of potassium sulfate (48% K2O), respectively. Nitrogen (N) fertilizer was added once as a starter dose at planting at a rate of 48 kg N ha−1 in the form of ammonium nitrate (33.5% N).

2.3. Irrigation Water Applied

According to the FAO Penman–Monteith equation, the daily reference evapotranspiration (Eto) was calculated using the following formula [39]:
Etc   =   Eto ×   Kc
where Etc is the crop water requirement (mm d−1) and Kc is the crop coefficient.
The irrigation water applied (IWA) per bed was calculated according to the following equation:
IWA = Etc × A   × Ii Ea × 1000
where IWA is the irrigation water applied (m3), A is the plot area (m2), Ii is the irrigation period (day), and Ea is the irrigation efficiency (%).

2.4. Measurements

2.4.1. Water Status and Photosynthetic Capacity

At 75 days after sowing, the relative water content (RWC%) and the membrane stability index (MSI%) were assessed [40,41]. To assess the photosynthetic efficiency, the performance index, and chlorophyll fluorescence were determined according to Clark et al. [42] and Maxwell and Johnson [43] by Handy PEA, Hansatech Instruments (Ltd., Kings Lynn, London, UK). Additionally, leaf greenness (SPAD value) was determined using a chlorophyll meter (SPAD502, KONICAMINOLTA. Inc., Tokyo, Japan).

2.4.2. Free Proline Content, Total Soluble Sugars and Enzyme

The free proline content and total soluble sugars (TSS) (mg g−1 FW) of fresh faba bean leaves were extracted and quantified utilizing procedures described previously [44,45]. Plant cells were extracted following the technique of Bradford [46] for use as a crude enzyme extract to measure CAT content. The CAT activity (EC 1.11.1.6) was established using the approach published by Aebi (Burgdorf, Switzerland) [47].

2.4.3. Growth Traits

At the end of the growing season, ten plants were randomly obtained from every experimental plot and assessed for their growth characteristics. Plant height was recorded as well as the number of leaves and branches plant−1. Total leaf area plant−1, was measured using a digital plan meter, Planix 7 (Sokkia Co., Ltd. Atsugi, Kanagawa, Japan). Shoot dry weight plant−1 was recorded after oven-drying at 70 °C until constant weight.

2.4.4. Leaf Mineral Contents

To assess the contents of N, P, and K, faba bean leaves were dried and grounded to form a powder. The digestion process was performed for the dried samples with a mixture consisting of HClO4 and H2SO4 (at 1:3 v/v, respectively). N content was assessed using micro-Kjeldahl equipment (Ningbo Medical Instruments Co., Ningbo, China [48]. Molybdenum blue, diluted H2MoO7S, and 8% (w/v) NaHSO3-H2SO4 were used as standard reagents for quantifying P [49]. K contents were measured using a Perkin-Elmer Model 52-A Flame Photometer (Waltham, MA, USA) Jackson [50].

2.4.5. Yield and Yield Components

At harvesting stage, 10 plants were randomly selected from each plot and utilized to determine yield components, i.e., the number of pods per plant and 100-seed weight. Seeds of all plants per plot were utilized to determine seed yield (t ha−1).

2.4.6. Water Use Efficiency

According to Fernández et al. [51], water use efficiency (WUE) was computed using the formula given below:
WUE = Seed   yield   kg   ha 1 Water   applied   m 3   ha 1

2.5. Statistical Analysis

Data were statistically evaluated following Gomez and Gomez [52] with analysis of variance procedures in the GenStat statistical package (version 11) (VSN International Ltd., Oxford, UK). Data for each growing season were subjected to two-way analysis of variance (ANOVA). The Duncan multiple range test, at a 0.05 probability level, was utilized to compare treatment means. Further, data preparation for chemometric analysis was according to Mahmoud et al. and Mahmoud and Magdy [53,54]. Agglomerative hierarchical clustering (AHC) and principal component analysis (PCA) were used in XLSTAT 2022® (Addinsoft, Paris, France).

3. Results

3.1. Growth Response

Growth of faba bean significantly responded to the combinations of humic acid and cytokinin in the 2019/20 and 2020/21 seasons (Table 1). The maximum values for all growth traits were more pronounced with FI × H10 plus C25, statistically equal in FI × H10 plus C0 and FI × H0 plus C25 as well as DI × H10 plus C25 and DI × H0 plus C25 in number of branches plant−1 in the first season. Under FI, the combinations of H10 plus C25 (for all traits), H10 plus C0 (for number of branches plant−1 and dry matter plant−1) and H0 plus C25 (for leaf area and dry matter plant−1) exhibited the maximum values in the second season. Furthermore, under DI, H10 plus C25 was the most efficient treatment for enhancing faba bean growth, significantly similar to H10 plus C0 in all growth traits, in both seasons, except plant height and leaf area in the first season. Compared to the counterpart treatment (DI × H0 plus C0 H0), the DI × H10 plus C25 treatment increased plant height (by 22.3 and 23.5%), number of leaves plant−1 (by 21.2 and 12.8%), number of branches plant−r (by 50.0 and 35.1%), leaf area (by 22.2 and 23.6%) and dry matter plant−n (by 22.4 and 23.5%) in the first and second seasons, respectively.

3.2. Physiological Response

The physiological changes in faba bean due to humic acid plus cytokinin under irrigation regimes are presented in Table 2. Under FI or DI, H10 plus C25 or C0 in both seasons, in addition to FI × H0 plus C25 (for Fv/Fm in the second season), resulted in the maximum increases in SPAD and Fv/Fm (except DI × H10 plus C0 for SPAD in the first season). Moreover, FI × H10 plus C25 was the effective practice for improving the performance index, the relative water content, and the membrane stability index, significantly similar to H10 plus C0 for the relative water content in both seasons. It should be noted that all physiological parameters of faba bean measured under DI showed distinctive improvements with the application of H10 plus C25 in both seasons. Herein, under DI, H10 plus C25 increased SPAD, Fv/Fm, the performance index, the relative water content and the membrane stability index by approximately 1.50 and 1.50, 1.10 and 1.10, 3.76 and 3.32, 1.18 and 1.17 and 1.32 and 1.6 fold, in the first and second seasons, respectively, compared to H0 plus C0.

3.3. Biochemical Compounds

Humic plus cytokinin had a significant effect on proline (Figure 1), catalase (Figure 2), and total soluble sugars (Figure 3) in both seasons of 2019/20 and 2020/21. FI × H10 plus C25 resulted in the maximum value of proline, surpassing that of FI × H0 plus C0 by 47.9 and 48.4% in the first and second seasons, respectively. Moreover, H10 plus C25 resulted in the highest values of catalase and total soluble sugars whether with FI or DI in both seasons, except catalase under DI in the second season. The increases in proline, catalase, and total soluble sugars under DI due to H10 plus C25 amounted to 31.4 and 31.8%, 51.9 and 55.1%, as well as 43.8 and 46.6%, in 2019/20 and 2020/21, respectively.

3.4. Nutrient Contents

As shown in Table 3, the nutrient content of faba bean markedly changed based on the combinations of humic acid and cytokinin in the 2019/20 and 2020/21 seasons. In this respect, the application of FI × H10 plus C25 resulted in the highest values of nitrogen, phosphorus and potassium in both seasons. However, the difference between FI × H10 plus C25 and DF × H10 plus C25 in terms of phosphorus content was not significant in both seasons. Compared to their counterpart control treatments, the increases in phosphorus content due to H10 plus C25 application under FI and DI was 1.52 and 2.24 fold in the first season and 1.46 and 2.17 fold in the second season, respectively.

3.5. Yield Traits and Water Use Efficiency

The number of pods plant−1, the weight of 100 seeds and the seed yield of faba bean showed significant changes in response to humic acid and cytokinin applications in the 2019/20 and 2020/21 seasons (Table 4). The most effective practice for increasing all yield traits in both seasons was the application of H10 plus C25 under FI. In the first season, FI × H0 plus C25 showed similar values for the number of pods plant−1 and DI × H10 plus C25 showed similar values for seed yield to that of FI × H10 plus C25. FI × H10 plus C25 and DI × H10 plus C25 produced a similar number of pods plant−1 and seed yield in the second season. It must be pointed out that the application of H10 plus C25 under DI achieved resulted in increases of 30.8 and 46.7% in the number of pods plant−1, 19.8 and 17.2% in the weight of 100 seeds and 20.1 and 23.1% in the seed yield compared to H0 plus C0 in the first and second seasons, respectively. Concerning water use efficiency (WUE), Figure 4 shows that the addition of H10 either with C0 or C25 under DI resulted in the maximum values of WUE in both seasons, surpassing that of the other treatments. FI × H0 plus C0 was the least effective practice, resulting in the lowest values of WUE in both seasons.

3.6. Chemometric Methods

Agglomerative hierarchical clustering (AHC) and principal component analysis (PCA) were utilized to present a collective understanding of the obtained data. With AHC (Figure 5), samples were clustered into two groups based on their dissimilarities. The first cluster contained the untreated FI and DI samples together with DI × H0 plus C25. The rest of the samples were grouped into the second cluster.
According to the PCA biplot (Figure 6), two principal components can explain 87.65% of the variation (76.1% and 11.5 attributed to F1 and F2, respectively). Thereby, F1 can differentiate between the two irrigation systems regardless of their treatment method, except for DI × H0 plus C0 in the second season grouped with the FI samples. On the other hand, F2 can differentiate between the untreated and treated samples with humic acid or cytokinin regardless of their irrigation system, except for DI × H0 plus C25 in both seasons. Further, two major regions can be observed, marked in light purple and light green, indicating the samples that were clustered in the AHC test.
It was clear that the DI samples treated with H10 plus C0 or H10 plus C25 in both seasons were correlated with the performance index, seed yield, WUE, TSS, Fv/Fm, SPAD, proline, and CAT as they were placed in the same quadrant (+F1/+F2). On the other hand, the FI samples treated with humic acid and/or cytokinin were correlated with the leaves, pods, and number of branches plant−1, leaf area, the weight of 100 seeds, plant height, dry matter, the membrane stability index, and the relative water content as they were placed in the same quadrant (+F1/−F2).

4. Discussion

Plants exposed to water deficit exhibited changes in physio-biochemical status [55] and nutrient content [56], hence a reduction in growth and yield potential [57]. However, combined applications of humic acid and cytokinin mitigated the negative effects of drought, as evidenced in this research through the improvements in growth and physiology of faba bean. Plants under drought stress commonly close the stomata to reduce loss of water via transpiration [58]. However, stomatal closure led to a reduction in CO2 inflow. In contrast, well-watered plants ensured CO2 delivery through the stomatal apparatus [58]. Environmental stresses, specifically drought, adversely influenced plant pigments [59,60], particularly chlorophyll b [61]. Drought caused a decline in chlorophyll pigments and also accounted for reduced photosynthesis [62]. As a plant response to drought stress, plants develop a degree of drought tolerance through modulating gene functions that increase antioxidant defensive actions while reducing plant growth [63]. The reducing in soil moisture under drought stress adversely affected plant pigments and photosynthetic reactions, causing significant declines in crop growth and yield [64,65]. Accordingly, our findings revealed that supplying faba bean with low water (DI) without the exogenous application of humic acid plus cytokinin caused a reduction in SPAD, Fv/Fm, the relative water content, and the membrane stability index, hence reducing growth and yield.
To counteract the harms of drought, several actions should be adopted. In this respect, the defensive mechanisms of plants need to be exogenously equipped through specific compound applications. Amending the nutritional status of agricultural lands in favor of plant growth is crucial to increasing crop productivity [3]. In this context, soil structure, microorganism growth, plant growth and yield attributes were increased with humic acid application [66]. The uptake of several macro- and micronutrients was increased with humic acid supply [67,68]. By accelerating the rate of nutrient uptake, humic acid resulted in increases in plant growth, chlorophyll and protein content [69] and the photosynthetic rate [70]. Since humic acid increases micro- and macro-elements, activates enzyme, protein, sugar and vitamin synthesis, and alters the permeability of cell membranes [71,72,73], in addition to its high chelating potential [72], it increases crop yield. Accordingly, humic materials had a significant impact on plant growth and productivity under both normal and stress conditions [17,18].
The exogenous application of cytokinins during stress resulted in improvements in the membrane and chlorophyll stability indices, photosynthetic pigments, leaf relative water and soluble sugar content [74,75]. A range of processes related to plant growth and development, i.e., cell division, nutrient mobilization, tissue differentiation, the production of anthocyanin and retarding senescence, are influenced by cytokinins [30,76]. Additionally, cytokinins are significant to nitrogen and sulfur complements [77], causing inhibition of nitrate and sulphate uptake by plant roots [78,79]. Cytokinin increased the activity of superoxide dismutase, ascorbate peroxidase and catalase as well as ROS scavenging, and protected the cell membrane under abiotic stress [75]. The high concentration of cytokinin during osmotic stress resulted in several benefits such as a reduction in abscisic acid effects [80,81,82,83,84,85], a change in nutrient balance [86], and improvement in photosynthetic efficiency [87,88], hence leaf senescence was delayed [89]. The antagonistic work between abscisic acid and cytokinin led to the dominance of cytokinin, mediating the adverse effect of drought while regulating the developmental mechanisms in plants [90,91]. Recently, it has been documented that cytokinin is effective in alleviating stress through maintaining ion balance [92]. Furthermore, at a molecular level, cytokinin improves photosynthesis under drought by adjusting the activity of proteins related to stomatal conductance, chlorophyll content and activation of rubisco [93].
Accordingly, our research work has provided insight into favorable changes by humic acid plus cytokinin for plants under drought. In this regard, providing drought-stressed faba bean plants with humic acid plus cytokinin maintained the appropriate water status, cell membrane stability, photosynthetic pigments and capacity (SPAD and Fv/Fm), as well as inducing osmo-protectants, particularly proline, catalase activity and nutrient absorption, as shown in Figure 7. Thus, humic acid–cytokinin-treated plants showed higher growth and yield in addition to nutrient content than non-treated plants.

5. Conclusions

The use of a water-deficit strategy in crop irrigation, especially in arid and semi-arid regions, is a dire need for rationalizing the use of agricultural water. However, reduced water supply is associated with drought damages, which affect crop yield and quality. This research proved the complementary role of humic acid and cytokinin in ameliorating drought impacts by conserving water, nutrient balance and the photosynthesis apparatus of faba bean. Thus, the application of humic acid (10 kg ha−1) and cytokinin (25 mg L−1) is advisable for faba bean production, especially under drought stress conditions.

Author Contributions

Conceptualization, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; methodology, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; software, T.A.A.E.-M., H.S.S. and M.A.A.M.; validation, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; formal analysis, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; investigation, K.M.A.R., H.S.E.-B. and H.S.S.; resources, T.A.A.E.-M., H.S.S. and H.H.A.-O.; data curation, T.A.A.E.-M., H.S.S. and M.A.A.M.; writing—original draft preparation K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; writing—review and editing, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; visualization, K.M.A.R., H.S.E.-B., T.A.A.E.-M., H.S.S., H.H.A.-O. and M.A.A.M.; supervision, K.M.A.R., H.S.E.-B. and H.S.S.; project administration, K.M.A.R., H.S.E.-B. and H.S.S.; funding acquisition, K.M.A.R., H.S.E.-B. and H.H.A.-O. All authors have read and agreed to the published version of the manuscript.

Funding

This research work was supported and funded by the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia (Project number INSTR001).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All data are available within this manuscript.

Acknowledgments

The authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia for funding this research.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Neme, K.; Bultosa, G.; Bussa, N. Nutrient and Functional Properties of Composite Flours Processed from Pregelatinised Barley, Sprouted Faba Bean and Carrot Flours. Int. J. Food Sci. Technol. 2015, 50, 2375–2382. [Google Scholar] [CrossRef]
  2. Aisa, K.; Hamed, M.F.; Saudy, H.; El–Metwally, I.M.; Ramadan, K.M.A. Preliminary Study for Testing the Significance of Butyl–Iso–Butyl Phthalate in controlling Faba Bean Broomrape. Arab Univ. J. Agric. Sci. 2019, 27, 1399–1404. [Google Scholar] [CrossRef]
  3. Saudy, H.S.; Salem, E.M.M.; Abd El-Momen, W.R. Effect of Potassium Silicate and Irrigation on Grain Nutrient Uptake and Water Use Efficiency of Wheat Under Calcareous Soils. Gesunde Pflanz. 2022. [Google Scholar] [CrossRef]
  4. Saudy, H.S.; Hamed, M.F.; El–Metwally, I.M.; Ramadan, K.A.; Aisa, K.H. Assessing the Effect of Biochar or Compost Application as a Spot Placement on Broomrape Control in Two Cultivars of Faba Bean. J. Soil Sci. Plant Nutr. 2021, 21, 1856–1866. [Google Scholar] [CrossRef]
  5. Saudy, H.; El-Bially, M.; El-Metwally, I.; Shahin, M. Physio-Biochemical and Agronomic Response of Ascorbic Acid Treated Sunflower (Helianthus Annuus) Grown at Different Sowing Dates and Under Various Irrigation Regimes. Gesunde Pflanz. 2021, 73, 169–179. [Google Scholar] [CrossRef]
  6. El–Metwally, I.; Geries, L.; Saudy, H. Interactive Effect of Soil Mulching and Irrigation Regime on Yield, Irrigation Water Use Efficiency and weeds of Trickle–Irrigated Onion. Arch. Agron. Soil Sci. 2022, 68, 1103–1116. [Google Scholar] [CrossRef]
  7. Mubarak, M.; Salem, E.M.M.; Kenawey, M.K.M.; Saudy, H.S. Changes in Calcareous Soil Activity, Nutrient Availability, and Corn Productivity Due to the Integrated Effect of Straw Mulch and Irrigation Regimes. J. Soil Sci. Plant Nutr. 2021, 21, 2020–2031. [Google Scholar] [CrossRef]
  8. Salem, E.M.M.; Kenawey, M.K.M.; Saudy, H.S.; Mubarak, M. Influence of Silicon Forms on Nutrients Accumulation and Grain Yield of Wheat under Water Deficit Conditions. Gesunde Pflanz. 2022, 74, 539–548. [Google Scholar] [CrossRef]
  9. Raza, A.; Mubarik, M.S.; Sharif, R.; Habib, M.; Jabeen, W.; Zhang, C.; Chen, H.; Chen, Z.-H.; Siddique, K.H.M.; Zhuang, W.; et al. Developing drought-smart, ready-to-grow future crops. Plant Gen. 2023, 16, e20279. [Google Scholar] [CrossRef]
  10. Nayyar, H.; Gupta, D. Differential sensitivity of C3 and C4 plants to water deficit stress: Association with oxidative stress and antioxidants. Environ. Exp. Bot. 2006, 58, 106–113. [Google Scholar] [CrossRef]
  11. Yang, F.; Miao, L.F. Adaptive responses to progressive drought stress in two poplar species originating from different altitudes. Silva Fennica 2010, 44, 23–37. [Google Scholar] [CrossRef]
  12. Sah, R.P.; Chakraborty, M.; Prasad, K.; Pandit, M.; Tudu, V.K.; Chakravarty, M.K.; Narayan, S.C.; Rana, M.; Moharana, D. Impact of water deficit stress in maize: Phenology and yield components. Sci. Rep. 2020, 10, 2944. [Google Scholar] [CrossRef]
  13. Sharma, P.; Jha, A.B.; Dubey, R.S.; Pessarakli, M. Reactive oxygen species, oxidative damage and antioxidative defense mechanism in plants under stressful conditions. J. Bot. 2012, 2012, 217037. [Google Scholar] [CrossRef]
  14. Sun, C.; Gao, X.; Chen, X. Metabolic and growth responses of maize to successive drought and re-watering cycles. Agric. Water Manag. 2016, 172, 62–73. [Google Scholar] [CrossRef]
  15. El-Beltagi, H.S.; Mohamed, A.A. Changes in non protein thiols, some antioxidant enzymes activity and ultrastructural alteration in radish plant (Raphanus sativus L.) grown under lead toxicity. Not. Bot. Horti. Agrobot. Cluj-Napoca 2010, 38, 76–85. [Google Scholar]
  16. Reddy, A.R.; Chaitanya, K.V.; Vivekanandan, M. Drought induced responses of photosynthesis and antioxidant metabolism in higher plants. J. Plant Physiol. 2004, 161, 1189–1202. [Google Scholar] [CrossRef]
  17. Bulgari, R.; Franzoni, G.; Ferrante, A. Biostimulants Application in Horticultural Crops under Abiotic Stress Conditions. Agronomy 2019, 9, 306. [Google Scholar] [CrossRef]
  18. de Jesus Souza, B.; do Carmo, D.L.; Santos, R.H.S.; de Oliveira, T.S.; Fernandes, R.B.A. Residual Contribution of Green Manure to Humic Fractions and Soil Fertility. J. Soil Sci. Plant Nutr. 2019, 19, 878–886. [Google Scholar] [CrossRef]
  19. Dinçsoy, M.; Sönmez, F. The Effect of Potassium and Humic Acid Applications on Yield and Nutrient Contents of Wheat (Triticum aestivum L. Var. Delfii) with Same Soil Properties. J. Plant Nutr. 2019, 42, 2757–2772. [Google Scholar] [CrossRef]
  20. Almaroai, Y.A.; Eissa, M.A. Effect of Biochar on Yield and Quality of Tomato Grown on a Metal-Contaminated Soil. Sci. Hortic. 2020, 265, 109210. [Google Scholar] [CrossRef]
  21. Ding, Z.; Zhou, Z.; Lin, X.; Zhao, F.; Wang, B.; Lin, F.; Ge, Y.; Eissa, M.A. Biochar Impacts on NH3-Volatilization Kinetics and Growth of Sweet Basil (Ocimum Basilicum L.) under Saline Conditions. Ind. Crops Prod. 2020, 157, 112903. [Google Scholar] [CrossRef]
  22. Rekaby, S.A.; Awad, M.Y.M.; Hegab, S.A.; Eissa, M.A. Effect of Some Organic Amendments on Barley Plants under Saline Condition. J. Plant Nutr. 2020, 43, 1840–1851. [Google Scholar] [CrossRef]
  23. Torun, H.; Toprak, B. Arbuscular Mycorrhizal Fungi and K-Humate Combined as Biostimulants: Changes in Antioxidant Defense System and Radical Scavenging Capacity in Elaeagnus Angustifolia. J. Soil Sci. Plant Nutr. 2020, 20, 2379–2393. [Google Scholar] [CrossRef]
  24. Aalipour, H.; Nikbakht, A.; Ghasemi, M.; Amiri, R. Morpho-Physiological and Biochemical Responses of Two Turfgrass Species to Arbuscular Mycorrhizal Fungi and Humic Acid Under Water Stress Condition. J. Soil Sci. Plant Nutr. 2020, 20, 566–576. [Google Scholar] [CrossRef]
  25. Hussain, M.; Farooq, S.; Hasan, W.; Ul-Allah, S.; Tanveer, M.; Farooq, M.; Nawaz, A. Drought Stress in Sunflower: Physiological Effects and Its Management through Breeding and Agronomic Alternatives. Agric. Water Manag. 2018, 201, 152–166. [Google Scholar] [CrossRef]
  26. Asgher, M.; Khan, M.I.R.; Anjum, N.A.; Khan, N.A. Minimising Toxicity of Cadmium in Plants—Role of Plant Growth Regulators. Protoplasma 2015, 252, 399–413. [Google Scholar] [CrossRef]
  27. El-Metwally, I.M.; Sadak, M.S.; Saudy, H.S. Stimulation Effects of Glutamic and 5-Aminolevulinic Acids On Photosynthetic Pigments, Physio-Biochemical Constituents, Antioxidant Activity, and Yield of Peanut. Gesunde Pflanz. 2022, 74, 915–924. [Google Scholar] [CrossRef]
  28. Al Mahmud, J.; Biswas, P.K.; Nahar, K.; Fujita, M.; Hasanuzzaman, M. Exogenous Application of Gibberellic Acid Mitigates Drought-Induced Damage in Spring Wheat. Acta Agrobot. 2019, 72, 2. [Google Scholar]
  29. Khalid, A.; Aftab, F. Effect of Exogenous Application of IAA and GA 3 on Growth, Protein Content, and Antioxidant Enzymes of Solanum Tuberosum L. Grown in Vitro under Salt Stress. Vitr. Cell. Dev. Biol. 2020, 56, 377–389. [Google Scholar] [CrossRef]
  30. Kieber, J.J.; Schaller, G.E. Cytokinin Signaling in Plant Development. Development 2018, 145, dev149344. [Google Scholar] [CrossRef]
  31. Li, W.; Herrera-Estrella, L.; Tran, L.-S.P. The Yin–Yang of Cytokinin Homeostasis and Drought Acclimation/Adaptation. Trends Plant Sci. 2016, 21, 548–550. [Google Scholar] [CrossRef]
  32. Prerostova, S.; Dobrev, P.I.; Gaudinova, A.; Knirsch, V.; Körber, N.; Pieruschka, R.; Fiorani, F.; Brzobohatý, B.; Černý, M.; Spichal, L. Cytokinins: Their Impact on Molecular and Growth Responses to Drought Stress and Recovery in Arabidopsis. Front. Plant Sci. 2018, 9, 655. [Google Scholar] [CrossRef]
  33. Wu, X.; He, J.; Chen, J.; Yang, S.; Zha, D. Alleviation of Exogenous 6-Benzyladenine on Two Genotypes of Eggplant (Solanum Melongena Mill.) Growth under Salt Stress. Protoplasma 2014, 251, 169–176. [Google Scholar] [CrossRef]
  34. Ma, X.; Zhang, J.; Huang, B. Cytokinin-Mitigation of Salt-Induced Leaf Senescence in Perennial Ryegrass Involving the Activation of Antioxidant Systems and Ionic Balance. Environ. Exp. Bot. 2016, 125, 1–11. [Google Scholar] [CrossRef]
  35. Rubio-Wilhelmi, M.M.; Sanchez-Rodriguez, E.; Rosales, M.A.; Begona, B.; Rios, J.J.; Romero, L.; Blumwald, E.; Ruiz, J.M. Effect of Cytokinins on Oxidative Stress in Tobacco Plants under Nitrogen Deficiency. Environ. Exp. Bot. 2011, 72, 167–173. [Google Scholar] [CrossRef]
  36. Yang, D.; Li, Y.; Shi, Y.; Cui, Z.; Luo, Y.; Zheng, M.; Chen, J.; Li, Y.; Yin, Y.; Wang, Z. Exogenous Cytokinins Increase Grain Yield of Winter Wheat Cultivars by Improving Stay-Green Characteristics under Heat Stress. PLoS ONE 2016, 11, e0155437. [Google Scholar] [CrossRef]
  37. Joshi, R.; Sahoo, K.K.; Tripathi, A.K.; Kumar, R.; Gupta, B.K.; Pareek, A.; Singla-Pareek, S.L. Knockdown of an Inflorescence Meristem-specific Cytokinin Oxidase–OsCKX2 in Rice Reduces Yield Penalty under Salinity Stress Condition. Plant. Cell Environ. 2018, 41, 936–946. [Google Scholar] [CrossRef]
  38. Methods of Soil Analysis: Part 2 Chemical and Microbiological Properties, 2nd ed.; Page, A.L. (Ed.) The American Society of Agronomy, Inc., Soil Science Society of America, Inc.: Madison, WI, USA, 1982. [Google Scholar]
  39. Klute, A.; Dirksen, C. Hydraulic Conductivity and Diffusivity: Laboratory Methods. In Methods of Soil Analysis: Part 1 Physical and Mineralogical Methods; Soil Science Society of America, American Society of Agronomy: Madison, WI, USA, 1986; Volume 5, pp. 687–734. [Google Scholar]
  40. Hayat, S.; Hayat, Q.; Alyemeni, M.N.; Wani, A.S.; Pichtel, J.; Ahmad, A. Role of Proline under Changing Environments. Plant Signal. Behav. 2012, 7, 1456–1466. [Google Scholar] [CrossRef]
  41. Premachandra, G.S.; Saneoka, H.; Ogata, S. Cell Membrane Stability, an Indicator of Drought Tolerance, as Affected by Applied Nitrogen in Soyabean. J. Agric. Sci. 1990, 115, 63–66. [Google Scholar] [CrossRef]
  42. Clark, A.J.; Landolt, W.; Bucher, J.B.; Strasser, R.J. Beech (Fagus Sylvatica) Response to Ozone Exposure Assessed with a Chlorophyll a Fluorescence Performance Index. Environ. Pollut. 2000, 109, 501–507. [Google Scholar] [CrossRef]
  43. Maxwell, K.; Johnson, G.N. Chlorophyll Fluorescence—A Practical Guide. J. Exp. Bot. 2000, 51, 659–668. [Google Scholar] [CrossRef] [PubMed]
  44. Bates, L.S.; Waldren, R.P.; Teare, I.D. Rapid Determination of Free Proline for Water-Stress Studies. Plant Soil 1973, 39, 205–207. [Google Scholar] [CrossRef]
  45. Irigoyen, J.J.; Einerich, D.W.; Sánchez-Díaz, M. Water Stress Induced Changes in Concentrations of Proline and Total Soluble Sugars in Nodulated Alfalfa (Medicago sativa) Plants. Physiol. Plant. 1992, 84, 55–60. [Google Scholar] [CrossRef]
  46. Bradford, M.M. A rapid and sensitive method for the quantification of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976, 72, 248–254. [Google Scholar] [CrossRef]
  47. Aebi, H. Catalase in vitro. In Methods in Enzymology; Packer, L., Ed.; Academic Press: San Diego, CA, USA, 1984; Volume 105, pp. 121–126. [Google Scholar]
  48. Jacobs, M.B. Micro-Kjeldahl Method for Biologicals. J. Am. Pharm. Assoc. 1951, 40, 151–153. [Google Scholar] [CrossRef]
  49. AOAC The Association of Official Analytical Chemists. Official Methods of Analysis of AOAC International; Prentice Hall India Pvt. Ltd.: New Delhi, India, 2000; p. 498. [Google Scholar]
  50. Jackson, M.L. Soil Chemical Analysis; Pentice Hall of India Pvt. Ltd.: New Delhi, India, 1973; Volume 498, pp. 151–154. [Google Scholar]
  51. Fernández, J.E.; Alcon, F.; Diaz-Espejo, A.; Hernandez-Santana, V.; Cuevas, M.V. Water use indicators and economic analysis for on-farm irrigation decision: A case study of a super high density olive tree orchard. Agric. Water Manag. 2020, 237, 106074. [Google Scholar] [CrossRef]
  52. Gomez, K.A.; Gomez, A.A. Statistical Procedures for Agricultural Research; John Wiley & Sons: Hoboken, NJ, USA, 1984; ISBN 0471870927. [Google Scholar]
  53. Mahmoud, M.A.A.; Magdy, M.; Tybussek, T.; Barth, J.; Buettner, A. Comparative Evaluation of Wild and Farmed Rainbow Trout Fish Based on Representative Chemosensory and Microbial Indicators of Their Habitats. J. Agric. Food Chem. 2023, 71, 2094–2104. [Google Scholar] [CrossRef]
  54. Mahmoud, M.A.A.; Magdy, M. Metabarcoding Profiling of Microbial Diversity Associated with Trout Fish Farming. Sci. Rep. 2021, 11, 421. [Google Scholar] [CrossRef]
  55. Saudy, H.S.; El-Bially, M.E.; Hashem, F.A.; Shahin, M.G.; El-Gabry, Y.A. The Changes in Yield Response Factor, Water Use Efficiency, and Physiology of Sunflower Owing to Ascorbic and Citric Acids Application Under Mild Deficit Irrigation. Gesunde Pflanz. 2022. [Google Scholar] [CrossRef]
  56. Saudy, H.S.; Mohamed El–Metwally, I. Effect of Irrigation, Nitrogen Sources, and Metribuzin on Performance of Maize and Its Weeds. Commun. Soil Sci. Plant Anal. 2023, 54, 22–35. [Google Scholar] [CrossRef]
  57. El-Metwally, I.M.; Saudy, H.S. Interactional Impacts of Drought and Weed Stresses on Nutritional Status of Seeds and Water Use Efficiency of Peanut Plants Grown in Arid Conditions. Gesunde Pflanz. 2021, 73, 407–416. [Google Scholar] [CrossRef]
  58. Munemasa, S.; Hauser, F.; Park, J.; Waadt, R.; Brandt, B.; Schroeder, J.I. Mechanisms of Abscisic Acid-Mediated Control of Stomatal Aperture. Curr. Opin. Plant Biol. 2015, 28, 154–162. [Google Scholar] [CrossRef]
  59. Farooq, M.; Wahid, A.; Kobayashi, N.; Fujita, D.; Basra, S.M.A. Plant Drought Stress: Effects, Mechanisms and Management BT—Sustainable Agriculture. In Sustainable Agriculture; Lichtfouse, E., Navarrete, M., Debaeke, P., Véronique, S., Alberola, C., Eds.; Springer Netherlands: Dordrecht, The Netherlands, 2009; pp. 153–188. ISBN 978-90-481-2666-8. [Google Scholar]
  60. Saudy, H.; Noureldin, N.; Mubarak, M.; Fares, W.; Elsayed, M. Cultivar Selection as a Tool for Managing Soil Phosphorus and Faba Bean Yield sustainability. Arch. Agron. Soil Sci. 2020, 66, 414–425. [Google Scholar] [CrossRef]
  61. Ashraf, M.; Ahmad, A.; McNeilly, T. Growth and Photosynthetic Characteristics in Pearl Millet under Water Stress and Different Potassium Supply. Photosynthetica 2001, 39, 389–394. [Google Scholar] [CrossRef]
  62. Ashraf, M.; Harris, P.J.C. Photosynthesis under Stressful Environments: An Overview. Photosynthetica 2013, 51, 163–190. [Google Scholar] [CrossRef]
  63. Raza, A.; Tabassum, J.; Kudapa, H.; Varshney, R.K. Can omics deliver temperature resilient ready-to-grow crops? Crit. Rev. Biotechnol. 2021, 41, 1209–1232. [Google Scholar] [CrossRef]
  64. Raza, A.; Razzaq, A.; Mehmood, S.S.; Zou, X.; Zhang, X.; Lv, Y.; Xu, J. Impact of climate change on crops adaptation and strategiesto tackle its outcome: A review. Plants 2019, 8, 34. [Google Scholar] [CrossRef]
  65. Yang, X.; Wang, B.; Chen, L.; Li, P.; Cao, C. The different influences of drought stress at the flowering stage on rice physiological traits, grain yield, and quality. Sci. Rep. 2019, 9, 3742. [Google Scholar] [CrossRef]
  66. Al-Shareef, A.R.; El-Nakhlawy, F.S.; Ismail, S.M. Enhanced Mungbean and Water Productivity under Full Irrigation and Stress Using Humic Acid in Arid Regions. Legum. Res. Int. J. 2018, 41, 428–431. [Google Scholar] [CrossRef]
  67. Puglisi, E.; Fragoulis, G.; Ricciuti, P.; Cappa, F.; Spaccini, R.; Piccolo, A.; Trevisan, M.; Crecchio, C. Effects of a Humic Acid and Its Size-Fractions on the Bacterial Community of Soil Rhizosphere under Maize (Zea Mays L.). Chemosphere 2009, 77, 829–837. [Google Scholar] [CrossRef]
  68. Yousefi Rad, M.; Masomi Zavarian, A. Effects of Humic Acid and Mycorrhiza on Morphological Characteristics and Nutrients Concentration of Red Bean (Vigna Unguiculata L.). J. Plant Environ. Physiol. 2017, 12, 92–102. [Google Scholar]
  69. El-Bassiony, A.M.; Fawzy, Z.F.; Abd El-Baky, M.M.H.; Mahmoud, A.R. Response of Snap Bean Plants to Mineral Fertilizers and Humic Acid Application. Res. J. Agric. Biol. Sci 2010, 6, 169–175. [Google Scholar]
  70. Ghorbani, S.; Khazaie, H.; Kafi, M.; Bannayan Aval, M. Effects of Humic Acid Application with Irrigation Water on Yield and Yield Components of Corn (Zea Mays L.). J. Agroecol. 2010, 2, 11–118. [Google Scholar] [CrossRef]
  71. Çelik, H.; Katkat, A.V.; Aşık, B.B.; Turan, M.A. Effect of Foliar-Applied Humic Acid to Dry Weight and Mineral Nutrient Uptake of Maize under Calcareous Soil Conditions. Commun. Soil Sci. Plant Anal. 2010, 42, 29–38. [Google Scholar] [CrossRef]
  72. Roudgarnejad, S.; Samdeliri, M.; Mirkalaei, A.M.; Moghaddam, M.N. The Role of Humic Acid Application on Quantitative and Qualitative Traits of Faba Bean (Vicia Faba L.). Gesunde Pflanz. 2021, 73, 603–611. [Google Scholar] [CrossRef]
  73. Makhlouf, B.S.I.; Khalil, S.R.A.E.; Saudy, H.S. Efficacy of Humic Acids and Chitosan for Enhancing Yield and Sugar Quality of Sugar Beet under Moderate and Severe Drought. J. Soil Sci. Plant Nutr. 2022, 22, 1676–1691. [Google Scholar] [CrossRef]
  74. Kumari, S.; Kumar, S.; Prakash, P. Exogenous Application of Cytokinin (6-BAP) Ameliorates the Adverse Effect of Combined Drought and High Temperature Stress in Wheat Seedling. J. Pharmacogn. Phytochem. 2018, 7, 1176–1180. [Google Scholar]
  75. Samea-Andabjadid, S.; Ghassemi-Golezani, K.; Nasrollahzadeh, S.; Najafi, N. Exogenous Salicylic Acid and Cytokinin Alter Sugar Accumulation, Antioxidants and Membrane Stability of Faba Bean. Acta Biol. Hung. 2018, 69, 86–96. [Google Scholar] [CrossRef]
  76. Sakakibara, H. Cytokinin Biosynthesis and Metabolism. In Plant Hormones: Biosynthesis, Signal Transduction, Action; Davies, P.J., Ed.; Springer Netherlands: Dordrecht, The Netherlands, 2010; pp. 95–114. ISBN 978-1-4020-2686-7. [Google Scholar]
  77. Sakakibara, H.; Takei, K.; Hirose, N. Interactions between Nitrogen and Cytokinin in the Regulation of Metabolism and Development. Trends Plant Sci. 2006, 11, 440–448. [Google Scholar] [CrossRef]
  78. Maruyama-Nakashita, A.; Nakamura, Y.; Yamaya, T.; Takahashi, H. A Novel Regulatory Pathway of Sulfate Uptake in Arabidopsis Roots: Implication of CRE1/WOL/AHK4-mediated Cytokinin-dependent Regulation. Plant J. 2004, 38, 779–789. [Google Scholar] [CrossRef]
  79. Kiba, T.; Kudo, T.; Kojima, M.; Sakakibara, H. Hormonal Control of Nitrogen Acquisition: Roles of Auxin, Abscisic Acid, and Cytokinin. J. Exp. Bot. 2011, 62, 1399–1409. [Google Scholar] [CrossRef]
  80. Ghanem, M.E.; Albacete, A.; Smigocki, A.C.; Frebort, I.; Pospíšilová, H.; Martínez-Andújar, C.; Acosta, M.; Sanchez-Bravo, J.; Lutts, S.; Dodd, I.C. Root-Synthesized Cytokinins Improve Shoot Growth and Fruit Yield in Salinized Tomato (Solanum Lycopersicum L.) Plants. J. Exp. Bot. 2011, 62, 125–140. [Google Scholar] [CrossRef]
  81. El-Beltagi, H.S.; Al-Otaibi, H.H.; Parmar, A.; Ramadan, K.; Lobato, A.K.d.S.; El-Mogy, M.M. Application of Potassium Humate and Salicylic Acid to Mitigate Salinity Stress of Common Bean. Life 2023, 13, 448. [Google Scholar] [CrossRef]
  82. Farag, H.A.; Ibrahim, M.F.; El-Yazied, A.A.; El-Beltagi, H.S.; El-Gawad, H.G.A.; Alqurashi, M.; Shalaby, T.A.; Mansour, A.T.; Alkhateeb, A.A.; Farag, R. Applied Selenium as a Powerful Antioxidant to Mitigate the Harmful Effects of Salinity Stress in Snap Bean Seedlings. Agronomy 2022, 12, 3215. [Google Scholar] [CrossRef]
  83. El-Beltagi, H.S.; El-Yazied, A.A.; El-Gawad, H.G.A.; Kandeel, M.; Shalaby, T.A.; Mansour, A.T.; Al-Harbi, N.A.; Al-Qahtani, S.M.; Alkhateeb, A.A.; Ibrahim, M.F.M. Synergistic Impact of Melatonin and Putrescine Interaction in Mitigating Salinity Stress in Snap Bean Seedlings: Reduction of Oxidative Damage and Inhibition of Polyamine Catabolism. Horticulturae 2023, 9, 285. [Google Scholar] [CrossRef]
  84. Afify, A.M.M.R.; El-Beltagi, H.S.; Aly, A.A.; El-Ansary, A.E. Antioxidant enzyme activities and lipid peroxidation as biomarker for potato tuber stored by two essential oils from Caraway and Clove and its main component carvone and eugenol. Asian Pac. J. Trop. Biomed. 2012, 2, S772–S780. [Google Scholar] [CrossRef]
  85. Wang, Y.; Li, L.; Ye, T.; Zhao, S.; Liu, Z.; Feng, Y.-Q.; Wu, Y. Cytokinin Antagonizes ABA Suppression to Seed Germination of Arabidopsis by Downregulating ABI5 Expression. Plant J. 2011, 68, 249–261. [Google Scholar] [CrossRef]
  86. Xu, Y.; Burgess, P.; Zhang, X.; Huang, B. Enhancing Cytokinin Synthesis by Overexpressing Ipt Alleviated Drought Inhibition of Root Growth through Activating ROS-Scavenging Systems in Agrostis Stolonifera. J. Exp. Bot. 2016, 67, 1979–1992. [Google Scholar] [CrossRef]
  87. Gashaw, A.; Theerawitaya, C.; Samphumphuang, T.; Cha-um, S.; Supaibulwatana, K. CPPU Elevates Photosynthetic Abilities, Growth Performances and Yield Traits in Salt Stressed Rice (Oryza Sativa L. Spp. Indica) via Free Proline and Sugar Accumulation. Pestic. Biochem. Physiol. 2014, 108, 27–33. [Google Scholar] [CrossRef]
  88. Hönig, M.; Plíhalová, L.; Husičková, A.; Nisler, J.; Doležal, K. Role of Cytokinins in Senescence, Antioxidant Defence and Photosynthesis. Int. J. Mol. Sci. 2018, 19, 4045. [Google Scholar] [CrossRef]
  89. Xiao, X.O.; Zeng, Y.M.; Cao, B.H.; Lei, J.J.; Chen, Q.H.; Meng, C.M.; Cheng, Y.J. PSAG12-IPT Overexpression in Eggplant Delays Leaf Senescence and Induces Abiotic Stress Tolerance. J. Hortic. Sci. Biotechnol. 2017, 92, 349–357. [Google Scholar] [CrossRef]
  90. Huang, X.; Hou, L.; Meng, J.; You, H.; Li, Z.; Gong, Z.; Yang, S.; Shi, Y. The Antagonistic Action of Abscisic Acid and Cytokinin Signaling Mediates Drought Stress Response in Arabidopsis. Mol. Plant 2018, 11, 970–982. [Google Scholar] [CrossRef] [PubMed]
  91. Gujjar, R.S.; Supaibulwatana, K. The Mode of Cytokinin Functions Assisting Plant Adaptations to Osmotic Stresses. Plants 2019, 8, 542. [Google Scholar] [CrossRef]
  92. Ghassemi-Golezani, K.; Samea-Andabjadid, S. Exogenous Cytokinin and Salicylic Acid Improve Amino Acid Content and Composition of Faba Bean Seeds Under Salt Stress. Gesunde Pflanz. 2022, 74, 935–945. [Google Scholar] [CrossRef]
  93. Gujjar, R.S.; Banyen, P.; Chuekong, W.; Worakan, P.; Roytrakul, S.; Supaibulwatana, K. A Synthetic Cytokinin Improves Photosynthesis in Rice under Drought Stress by Modulating the Abundance of Proteins Related to Stomatal Conductance, Chlorophyll Contents, and Rubisco Activity. Plants 2020, 9, 1106. [Google Scholar] [CrossRef]
Figure 1. Proline content of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Figure 1. Proline content of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
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Figure 2. Total soluble sugars (TSS) content of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Figure 2. Total soluble sugars (TSS) content of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
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Figure 3. Catalase (CAT) activity of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Figure 3. Catalase (CAT) activity of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
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Figure 4. Water use efficiency (WUE) of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Figure 4. Water use efficiency (WUE) of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/20 and 2020/21 seasons. Each value indicates the mean ± standard error (n = 3). Mean values in each bar followed by the same letter are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit in irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
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Figure 5. ACH clustering of the DI and FI samples.
Figure 5. ACH clustering of the DI and FI samples.
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Figure 6. PCA biplot of the DI and FI samples.
Figure 6. PCA biplot of the DI and FI samples.
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Figure 7. Illustration of the changes in physio-biochemical parameters in faba bean plants under deficit irrigation (DI) due to application of humic acid plus cytokinin for enhancing drought tolerance.
Figure 7. Illustration of the changes in physio-biochemical parameters in faba bean plants under deficit irrigation (DI) due to application of humic acid plus cytokinin for enhancing drought tolerance.
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Table 1. Faba bean growth as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
Table 1. Faba bean growth as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
SeasonIrrigation RegimeTreatmentsPlant Height (cm)Number of Leaves Plant−1Number of Branches Plant−1Leaf Area (dm2)Dry Matter Plant−1 (g)
2019/2020FIH0C087.1 ± 0.88 d97.0 ± 1.16 d5.56 ± 0.11 b189.7 ± 0.94 g49.7 ± 0.81 f
C2590.7 ± 0.33 c101.3 ± 0.88 c5.89 ± 0.22 ab233.3 ± 1.3 b56.9 ± 1.1 bc
H10C095.7 ± 0.33 b106.6 ± 0.37 b6.33 ± 0.33 a227.6 ± 0.79 c58.0 ± 0.20 b
C25103.0 ± 0.58 a114.9 ± 0.64 a6.00 ± 0.11 ab245.0 ± 1.37 a62.5 ± 0.35 a
DIH0C075.2 ± 0.67 e73.7 ± 2.6 g4.00 ± 0.00 c178.6 ± 1.58 h45.61 ± 0.40 g
C2586.6 ± 0.67 d83.3 ± 1.8 f6.00 ± 0.33 ab205.5 ±1.58 f52.3 ± 0.40 e
H10C090.3 ± 0.33 c87.6 ± 0.32 e5.67 ± 0.32 b214.4 ± 0.79 e54.8 ± 0.20 d
C2592.0 ± 0.58 c89.3 ± 0.56 e6.00 ± 0.33 ab218.3 ± 1.37 d55.8± 0.35 cd
2020/2021FIH0C084.5 ± 2.02 de90.3 ± 3.38 d4.3 ± 0.33 c184.1 ± 2.65 ef48.2 ± 0.92 d
C2594.7 ± 4.33 bc93.8 ± 0.87 c4.6 ± 0.32 bc243.3 ± 10.3 ab59.5 ± 3.5 ab
H10C096.7 ± 0.33 b108.8 ± 0.32 b5.6 ± 0.33 a230.0 ± 0.97 bc58.6 ± 0.20 abc
C25104.0 ± 0.53 a116.9 ± 0.56 a6.0 ± 0.31 a247.4 ± 1.37 a63.1 ± 0.5 a
DIH0C073.7 ± 0.88 f78.3 ± 0.33 e3.7 ± 0.34 d174.8 ± 2.1 f44.7 ± 0.53 d
C2580.3 ± 2.7 e83.5 ± 6.7 de4.3 ± 0.33 c190.7 ± 6.3 e48.7 ± 1.6 d
H10C089.3 ± 0.33 cd86.7 ± 0.37 cde4.6 ± 0.29 bc212.0 ± 0.97 d54.2 ± 0.20 c
C2591.0 ± 0.58 bc88.3 ± 0.64 cd5.0 ± 0.33 b216.0 ± 1.4 cd55.2 ± 0.35 bc
Each value indicates the mean ± standard error (n = 3). Mean values in each column followed by the same lower-case letter in each column are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Table 2. Physiological response of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
Table 2. Physiological response of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
SeasonIrrigation RegimeTreatmentsSPADFv/FmPerformance IndexRelative Water ContentMembrane Stability Index
2019/2020FIH0C044.6 ± 0.80 b0.79 ± 0.01 c3.1 ± 0.02 f78.34 ± 1.7 c39.0 ± 1.3 d
C2546.0 ± 1.4 b0.82 ± 0.00 b5.0 ± 0.12 de80.7 ± 0.66 bc55.1 ± 1.6 b
H10C050.7 ± 0.60 a0.83 ± 0.03 ab6.2 ± 0.87 d82.8 ± 0.34 ab54.7 ± 1.8 b
C2551.5 ± 0.23 a0.84 ± 0.01 a12.2 ± 0.33 a84.1 ± 0.55 a61.9 ± 1.6 a
DIH0C033.8 ± 1.1 d0.76 ± 0.01 d2.6 ± 0.06 f67.1 ± 0.43 e34.0 ± 1.1 f
C2540.0 ± 0.573 c0.78 ± 0.00 c4.8 ± 0.48 e74.8 ± 1.2 d37.7 ±0.54 e
H10C046.2 ± 0.53 b0.83 ± 0.01 ab8.2 ± 1.2 c75.5 ± 0.79 d41.3 ± 0.88 d
C2550.8 ± 0.33 a0.84 ± 0.01 a9.8 ± 0.78 b79.3 ± 0.54 c45.0 ± 0.58 c
2020/2021FIH0C043.4 ± 0.40 d0.80 ± 0.01 b2.9 ± 0.06 f79.6 ± 1.6 c36.0 ± 0.89 f
C2545.9 ± 1.3 cd0.82 ± 0.01 ab4.9 ± 0.50 e81.6 ± 1.3 bc57.1 ± 1.1 b
H10C050.5 ± 0.81 ab0.82 ± 0.01 ab5.9 ± 0.33 de83.7 ± 0.79 ab56.7 ± 0.88 b
C2552.1 ± 0.57 a0.83 ± 0.01 a12.8 ± 0.58 a85.1± 1.5 a63.9 ± 0.58 a
DIH0C033.3 ± 1.3 e0.76 ± 0.01 d2.8 ± 0.20 f68.2 ± 1.4 e29.3 ± 0.33 g
C2548.5 ± 1.2 bc0.79 ± 0.01 c6.3 ± 0.80 cd74.7 ± 1.2 d39.7 ± 0.33 e
H10C051.6 ± 1.1 a0.84 ± 0.01 a7.6 ± 0.25 c77.3 ± 1.7 d43.3 ± 0.86 d
C2550.1 ± 0.55 ab0.84 ± 0.01 a9.3 ± 0.82 b80.0 ± 0.54 c47.0 ± 1.1 c
Each value indicates the mean ± standard error (n = 3). Mean values in each column followed by the same lower-case letter in each column are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Table 3. Leaf nutrient contents of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
Table 3. Leaf nutrient contents of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
SeasonIrrigation RegimeTreatmentsNitrogen
mg/g DW
Phosphorus
mg/g DW
Potassium
mg/g DW
2019/2020FIH0C016.59 ± 0.30 d3.87 ± 0.10 e14.47 ± 0.46 c
C2519.52 ± 0.24 b5.19 ± 0.16 bc17.74 ± 0.50 b
H10C018.36 ± 0.25 c4.87 ± 0.06 cd15.79 ± 0.45 c
C2521.49 ± 0.24 a5.87 ± 0.15 a20.15 ± 0.51 a
DIH0C09.82 ± 0.59 g2.50 ± 0.29 g12.46 ± 0.92 d
C2515.15 ± 0.53 e4.60 ± 0.31 d15.67 ± 0.33 c
H10C011.92 ± 0.59 f3.28 ± 0.28 f14.12 ± 0.60 cd
C2517.49 ± 0.52 cd5.60 ± 0.30 ab17.76 ± 0.33 b
2020/2021FIH0C017.69 ± 0.30 c4.11 ± 0.06 d15.56 ± 0.45 de
C2520.51 ± 0.23 b5.51± 0.15 ab18.83 ± 0.51 bc
H10C019.66 ± 0.20 b5.01 ±0.10 bc17.09 ± 0.46 cd
C2521.88 ± 0.20 a6.03 ± 0.16 a21.45 ± 0.50 a
DIH0C010.81 ± 0.58 f2.67 ± 0.28 f13.96 ± 0.91 e
C2516.14 ± 0.52 d4.73 ± 0.30 c17.17 ± 0.30 cd
H10C012.81 ± 0.58 e3.43 ± 0.30 e15.77 ± 0.60 de
C2518.38 ± 0.53 c5.80 ± 0.30 a19.41 ± 0.30 b
Each value indicates the mean ± standard error (n = 3). Mean values in each column followed by the same lower-case letter in each column are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
Table 4. Yield parameters of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
Table 4. Yield parameters of faba bean as influenced by humic acid plus cytokinin treatments under irrigation regimes in the 2019/2020 and 2020/2021 seasons.
SeasonIrrigation RegimeTreatmentsNumber of Pods Plant−1Weight of 100 Seeds (g)Seed Yield (t ha−1)
2019/2020FIH0C012.3 ± 0.67 de80.7 ± 0.47 c4.10 ± 0.08 ef
C2517.6 ± 0.89 ab87.6 ± 2.50 b4.40 ± 0.03 cd
H10C015.7 ± 0.67 bc89.7 ± 0.82 b4.53 ± 0.04 bc
C2518.3 ± 0.67 a94.6 ± 0.42 a4.78 ± 0.02 a
DIH0C012.0 ± 0.51 e73.7 ± 0.64 d3.98 ± 0.02 f
C2514.9 ± 0.48 c79.0 ± 0.60 c4.27 ± 0.03 de
H10C014.3 ± 0.33 cd86.7 ± 0.74 b4.53 ± 0.04 bc
C2515.7 ± 0.67 bc88.3 ± 2.33 b4.78 ± 0.13 a
2020/2021FIH0C013.7 ± 1.33 cd82.0 ± 0.50 d4.05 ± 0.13 d
C2517.0 ± 0.67 ab90.6 ± 2.70 b4.33 ± 0.07 b
H10C017.3 ± 0.58 ab87.0 ± 0.50 bc4.57 ± 0.09 ab
C2519.7 ± 0.88 a96.8 ± 0.77 a4.67 ± 0.07 a
DIH0C012.0 ± 1.00 d76.2 ± 0.61 e3.76 ± 0.03 e
C2515.0 ± 1.00 bc84.3 ± 1.67 cd4.13 ± 0.03 cd
H10C016.6 ± 0.35 b87.0 ± 0.58 bc4.57 ± 0.07 ab
C2517.6 ± 0.74 ab89.3 ± 0.33 b4.63 ± 0.09 a
Each value indicates the mean ± standard error (n = 3). Mean values in each column followed by the same lower-case letter in each column are not significantly different according to the Duncan test (p ≤ 0.05). FI, full irrigation; DI, deficit irrigation (80% of crop evapotranspiration); H0 and H10: without and with the application of 10 kg ha−1 of humic acid, respectively. C0 and C25: without and with 25 mg L−1 of cytokinin, respectively.
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MDPI and ACS Style

Ramadan, K.M.A.; El-Beltagi, H.S.; El-Mageed, T.A.A.; Saudy, H.S.; Al-Otaibi, H.H.; Mahmoud, M.A.A. The Changes in Various Physio-Biochemical Parameters and Yield Traits of Faba Bean Due to Humic Acid Plus 6-Benzylaminopurine Application under Deficit Irrigation. Agronomy 2023, 13, 1227. https://doi.org/10.3390/agronomy13051227

AMA Style

Ramadan KMA, El-Beltagi HS, El-Mageed TAA, Saudy HS, Al-Otaibi HH, Mahmoud MAA. The Changes in Various Physio-Biochemical Parameters and Yield Traits of Faba Bean Due to Humic Acid Plus 6-Benzylaminopurine Application under Deficit Irrigation. Agronomy. 2023; 13(5):1227. https://doi.org/10.3390/agronomy13051227

Chicago/Turabian Style

Ramadan, Khaled M. A., Hossam S. El-Beltagi, Taia A. Abd El-Mageed, Hani S. Saudy, Hala Hazam Al-Otaibi, and Mohamed A. A. Mahmoud. 2023. "The Changes in Various Physio-Biochemical Parameters and Yield Traits of Faba Bean Due to Humic Acid Plus 6-Benzylaminopurine Application under Deficit Irrigation" Agronomy 13, no. 5: 1227. https://doi.org/10.3390/agronomy13051227

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