Hybrid Fruit Research Articles

Evaluation of the Enzyme Inhibition, Antioxidant, and Antimicrobial Activities of Apricots, Plums, and Their Hybrid Fruits

The current study focuses on evaluating the enzyme inhibition (acetylcholinesterase, α-amylase, α-glucosidase, pancreatin lipase), antioxidant, and antimicrobial activities of the “Modesto” apricot, “Stanley” plum, and their hybrid the “Stendesto” plum–apricot. The “Stendesto” is the only successful plum–apricot hybrid in Bulgaria. A spectrophotometric approach was used to evaluate the antioxidant activity following four complementary assays (DPPH, ABTS, FRAP, and CUPRAC). The “Stendesto” plum–apricot revealed its enhanced antioxidant potential compared to its parental lines. Apart from the free phenolics extraction, two other techniques (alkaline and acid hydrolysis) were applied to reveal the biological potential of the studied fruit. Not only free but also bound phenolic extracts were able to inhibit α-glucosidase and acetylcholinesterase, while none of the extracts inhibited lipase or α-amylase. None of the apricot extracts had antimicrobial activity, while the other fruit had limited antimicrobial activity. The proposed results undoubtedly reveal that hybrid fruits possess enhanced biological activity compared to their parents. This is a first comprehensive evaluation of hybrid fruits with reference to parental lines. This makes them an interesting research topic that should be better explored.

Modified hybrid fruit fly-based salp swarm optimization strategy for energy efficient optimization in MIMO Wireless Powered Communication Networks

A potential way to handle the future requirements of wireless data traffic is the Massive Multiple Input Multiple Output (MIMO) antenna systems. The most effective method to satisfy the demand for wireless data traffic is to enhance the Spectral Efficiency of the existing spectrum since the wireless spectrum is a limited resource. In the MIMO network, cell-free, energy-efficient, and user-centric are considered as most important parameters to achieve effective communication. Therefore, a new energy efficiency optimization scheme is developed in a massive MIMO system to improve the system’s capacity and spectral efficiency. The multi-channel optimization problem is effectively rectified with the help of this newly designed energy efficiency optimization scheme. Here, the “Singular Value Decomposition (SVD)” method is utilized for the implementation of a sub-channel grouping scheme, where the sub-channels are arranged in descending order based on the results attained from SVD. After arranging the sub-channels, the sub-channel grouping is carried out, and then the energy efficiency optimization is provided with the help of Integrated Fruit Fly with Salp Swarm Optimization (IFFSSO). This energy-efficient algorithm improves the system capacity and spectral efficiency. The experimental outcome is revealed through various conventional models to ensure the energy efficiency of the recommended model.

Identification of allelic relationship and translocation region among chromosomal translocation lines that leads to less-seed watermelon.

Less-seed and seedless traits are desirable characteristics in watermelon (Citrullus lanatus). Hybridization between watermelon chromosomal translocated lines and wild lines significantly reduced seed counts in the hybrid fruits, approaching even seedless. However, the allelic relationships and the chromosomal translocation breakpoints from different sources are unclear, which limits their utility in breeding practices. This study focused on three groups of chromosomal translocation materials from different sources and conducted inheritance and allelic relationship analysis of translocation points. The results from third-generation genome sequencing and fluorescence in situ hybridization (FISH) revealed that the specific translocations in the naturally mutated material MT-a involved reciprocal translocations between Chr6 and Chr10. The Co60γ radiation-induced mutant material MT-b involved reciprocal translocations between Chr1 and Chr5, Chr4 and Chr8. The Co60γ radiation-induced mutant material MT-c involved complex translocations among Chr1, Chr5, and Chr11. Cytological observation showed that heterozygous translocation hybrids showed chromosomal synapsis abnormalities during meiotic diakinesis. Further, dominant and codominant molecular markers were developed on both sides of the translocation breakpoints, which could facilitate rapid and efficient identification of chromosome translocation lines. This study provides technical guidance for utilizing chromosomal translocation materials in the development of less-seed watermelon varieties.

Effect of Hybridization on the Nutrient Compositions of Two Cultivars of Solanum aethiopicum L. (Solanaceae) Found in Anambra State

The desire for modification of valuable crop species for human nutritional fulfilment and economic growth is essential. Two cultivars of Solanum aethiopicum L. found in Anambra State were hybridized to raise an F1 that might combine the attributes of the parental lines for enhancement in yield and biochemical contents for health nutritional requirements. The emasculation method was adopted, using Solanum aethiopicum var “Anara Adazi as the female parent and transference of functional pollen from Solanum aethiopicum var “Anara” to the stigmas of the emasculated plant at the correct time. Nutrient analysis of the fruits of F1 and the parental plants was carried out using the standard method. Analysis of variance was used for data analysis. Results revealed that parental plants and F1 contained investigated nutrients in varied amounts. Ash content, crude fiber and protein were higher in the fruit of F1 hybrid (10.90±0.11, 21.50±1.51, and 5.01±0.24) respectively when compared to the fruits of the parental plants. Data obtained indicated that when two Solanum aethiopicum plants of different but closely related cultivars are crossbred, a new hybrid that possesses enhanced characteristics of the two parent plants are produced. Results of the nutrients analysis demonstrated that hybridization could significantly increase food nutrients in eggplant (S. aethiopicum).

Hybrid Fruits for Improving Health-A Comprehensive Review.

Several species of hybrid fruits, such as citrus, grapes, blueberries, apples, tomatoes, and lingonberries among others, have attracted scientific attention in recent years, especially due to their reported antioxidant and anti-inflammatory properties. The bagasse, leaves, bark, and seeds of these hybrid fruits have large amounts of polyphenols, such as flavonoids, which act as potent antioxidants. Several studies have been carried out in cellular models of neurotoxicity of the extract of these fruits, to document the beneficial effects for human health, as well as to prove its antiproliferative effect in cancer cells. In the present review, through a synthesis of existing information in the scientific literature, we demonstrate that hybrid fruits are a source of antioxidant and bioactive compounds, which act in the inhibition of diseases such as cancer, diabetes, and inflammatory and neurodegenerative diseases, and consequently improving human health.

Post-pollination barriers contribute to coexistence of partially pollinator-sharing Arisaema species (Araceae).

Reproductive isolation plays an important role in maintaining the species integrity of sympatric close relatives. For sympatric Arisaema species, interspecific gene flow is expected to be effectively prevented by pre-pollination barriers, particularly strong pollinator isolation mediated by fungus gnats. However, due to the lack of quantitative studies combining multiple pre- and post-pollination barriers, it is not known whether pre-pollination isolation is complete, and whether post-pollination barriers also contribute to reproductive isolation among some Arisaema species. In this study, we quantified the individual strengths and absolute contributions of four pre- and post-pollination barriers (phenological isolation, pollinator isolation, hybrid fruit formation, and hybrid seed formation) among three sympatric Arisaema species (A. bockii, A. lobatum, and A. erubescens). Although phenological isolation and pollinator isolation reduced the frequencies of interspecific pollen transfer among these species, the partial overlap of flowering times and pollinator assemblages resulted in incomplete pre-pollination isolation. Post-pollination barriers also contributed to reproductive isolation at the hybrid fruit and seed formation stages. We propose that, although pre-pollination barriers are expected to contribute more to total isolation than post-pollination barriers in Arisaema, pre-pollination barriers may not completely prevent interspecific pollen transfer among some Arisaema species. Post-pollination barriers, which are generally ignored, may also have contributed significantly to reproductive isolation in Arisaema.

Determination of biological activities of malabar spinach (Basellaalba) fruit extracts and molecular docking against COX-II enzyme

To achieve the health benefit from the natural of Basella. Albafruit. This study intended to figure out the bioactive compounds in the two varieties of B. alba (native and hybrid) fruit extract and measurement its biological activities like antioxidant, anti-inflammatory, cytotoxic activities and a molecular docking were performed to observed the pharmaceutical impact on the anti-inflammatory Cyclooxygenase-2 (COX-2) enzyme. The cold extractions along with GC-MS were used for the extraction of and analysis of phytoconstituents from B. alba fruit. The hemolytic inhibitory and BSA (Bovine serum albumin)-denaturation assay, DPPH(2,2-diphenyl-1-picrylhydrazyl) and H2O2-free radical scavenging analysis, and brine shrimp lethalness test were performed to measure the biological activities of the extracted The biological activities assay results showed that the ethanol extract of native malabar spinach exhibited dose-dependent antioxidant activity. The IC50 value 21.55 ± 1.51 μg/mL was for DPPH scavenging assay and 23.36 ± 0.36 μg/mL was for H2O2 scavenging analysis. In anti-inflammatory activity assessment study, the IC50 values of the ethanol extracts were 20.52 ± 0.91 μg/mL for BSA inhibition and 20.43 ± 1.30 μg/mL for RBC hemolytic inhibitory study. In this study, cytotoxicity test results reveal that aqueous extract exhibited no cytotoxicity as compared to ethanol and ethyl acetate extract (LD50 = 875.27 μg/mL). Conversely, the current study insist the in silico analysis, to find out the anti-inflammatory activity of the investigated two fruit varieties due to pharmacokinetics analysis, toxicity properties analysis, ADMETand molecular docking. The result of this study signified that both (native and hybrid) malabar spinach fruit varieties contain phytoconstituents with potent antioxidant, anti-inflammatory, and cytotoxic action.Moreover, the in vitro and in silico results suggest that the native and hybrid fruit varieties of the extracts could be a superior striver for future appraisal as a prospective therapeutically active ingredient.

The study of the behavior in the pollination process of some local cherry populations

The analysis of local cherry varieties both phenotypically and genotypically provides extremely important information for breeders. On the other hand, the valorization of some local, Romanian cherry varieties or local populations and their reconsideration in the breeding programs, constitute an important premise on the scale of adaptability to the local climatic conditions. In the pollination schemes were used local cherry populations from Ialomița, “Mari de Malu”, „Roșu de Mai” and the „Mărgărit” genotype that were hybridized with pollen from the Romanian varieties „Maria” and „Alex”. Although a considerable number of flowers have been pollinated, the binding rate still low between 7.33% and 10%. It is therefore observed how the exogenous pollen coming from the varieties partner in the pollination process positively influences the characters of the hybrid fruit, as it is not identical with the varieties used as parents. The statistical analysis of the results demonstrated that the native varieties of cherry constitute an extremely valuable potential in inducing some characters of resistance to diseases, productivity, quality, but also the fact that most of them are self-fertile.

Research on biometric studies on hybrid peach fruits

The causal agent of Sharka disease is the Plum pox virus of the family Potyviridae, genus Potyvirus, which is well characterized molecularly and even used as a vector in biotechnology. Sharka is one of the most devastating diseases of fruit trees. In this work, results obtained from biometric studies for hybrid fruits compared to fruits of the parental forms obtained from the pollination process are presented. Three hybrid combinations were studied: Prunus Lusitanica Ulmi ♀ x Anemona ♂ - ULM, Prunus Lusitanica Ulmi ♀ x Liana ♂ - DDL, Prunus Lusitanica Ulmi ♀ x Filip ♂ - DDF.

An efficient discrete artificial bee colony algorithm with dynamic calculation method for solving the AGV scheduling problem of delivery and pickup

To meet the production demand of workshop, this paper proposes an efficient discrete artificial bee colony (DABC) algorithm to solve a new automatic guided vehicle (AGV) scheduling problem with delivery and pickup in a matrix manufacturing workshop. The goal is to produce a AGV transportation solution that minimizes the total cost, including travel cost, time cost, and AGV cost. Therefore, a mixed integer linear programming model is established. To improve the transportation efficiency, a dynamic calculation method is developed. In the DABC algorithm, a heuristic algorithm and a median based probability selection method are used. For improving the quality of the solutions, four effective neighborhood operators are introduced. In the local search, a rule is given to save the operation time and a problem-based search operator is proposed to improve the quality of the best individual. Finally, a series of comparison experiments were implemented with the iterative greedy algorithm, artificial bee colony algorithm, hybrid fruit fly optimization algorithm, discrete artificial bee colony algorithm, improved harmony search, and hybrid genetic-sweep algorithm. The results show that the proposed DABC algorithm has high performance on solving the delivery and pickup problem.

Variation in antioxidant enzyme activity and key gene expression during fruit development of blackberry and blackberry–raspberry hybrids

Blackberry (Rubus spp.) belongs to the Rubus genus in the Rosaceae family, and its fruits are rich in nutrients and function in exerting antioxidant effects. Based on this, the fruits of 'Chester' blackberry, 'Hull' blackberry and the hybrid cultivars 'Boysen' and 'Young' at different developmental stages were selected to evaluate antioxidant-related indexes, antioxidant enzyme activity and the expression patterns of genes encoding antioxidant enzymes. The results showed that the total antioxidant capacity of the hybrid fruits was higher than that of the pure blackberry fruits. PCA (principal component analysis) and correlation analysis showed that the antioxidant capacity was related to anthocyanin, ASA (ascorbic acid), GSH (glutathione), MDA contents and O2- production rate. However, the correlations between antioxidant capacity and metabolites were different among the cultivars. The O2- production rate and MDA (malondialdehyde) content increased with fruit development. The activities of CAT (catalase) and POD (peroxidase) were maintained at a relatively low level, while SOD (superoxide) activity was maintained at a relatively high level. This study was the first to analyze the content of antioxidant substances in different developmental stages of blackberry fruits and blackberry-raspberry hybrids fruits, which provided some suggestion for the extraction of specific antioxidant substances in different developmental stages. Based on the transcriptome data, the role of antioxidant enzyme genes in antioxidant system was concerned, providing a practical basis for the expression characteristics of key genes.

Deep Learning-Enhanced Hybrid Fruit Fly Optimization for Intelligent Traffic Control in Smart Urban Communities

The rapid urbanization accompanying the evolution into “smart” communities presents numerous challenges, not least of which is the significant increase in road vehicles. This proliferation exacerbates congestion and accident rates, posing major barriers to the successful implementation of innovative technologies such as wireless sensor networks (WSNs), surveillance cameras, and the Internet of Things (IoT). Accurate traffic flow prediction, a crucial component of these technological initiatives, requires a reliable and efficient methodology.This research explores the implementation of an intelligent traffic control system that employs a Transferable Texture Convolutional Neural Network (TTCNN). The design of this system eschews the traditional pooling layer, instead incorporating three convolutional layers and a single energy layer (EL). This configuration facilitates the provision of real-time traffic updates, which can enhance the utility and efficiency of the smart city infrastructure.A model inspired by the hybrid fruit fly (HFFO) optimizes the system's hyperparameters. The application of HFFO to the TTCNN showcases the potential for improved accuracy in traffic flow prediction. Simulation results suggest that the HFFO provides superior organizational boundaries for the TTCNN, enhancing the overall accuracy of the model's predictions. The hybrid forecasting method discussed herein demonstrates its potential to outperform other established techniques.This investigation sheds light on the potential benefits of applying deep learning algorithms and hybrid models in the context of traffic flow prediction and control, contributing to the ongoing development of smart urban communities.

Quality changes in papaya fruit under different storage temperatures and duration

Kenya experiences high postharvest losses in the fruit and vegetable subsector, which have been estimated at 50 percent. These losses are mainly due to poor postharvest handling practices, a lack of storage facilities, and/or poor storage conditions. Papaya (Carica papaya L.) is a highly perishable tropical fruit with a short shelf life and requires proper storage and handling practices due to its delicate skin texture, high moisture content, and high respiratory rates. In this study, F hybrid and Mountain variety papaya fruits were collected at Meru County in May 2022 and stored at three different temperatures (6, 16 and 24 °C) for a duration of 0, 4, 8 and 12 days to evaluate their effects on fruit quality. The data collected was separately subjected to a two-way ANOVA in a completely randomised design using the GenStat statistical software package (14th edition). Storage temperatures and durations significantly (p < 0.05) decreased papaya quality. Mountain fruits were firmer while F fruits had more appealing peel and flesh colors. F fruits retained more potassium (1.20 g/100g) and vitamin C (0.29 g/100g) when stored at 16 °C on day 12. The optimal storage temperature and duration for successful storage and extension of shelf life of papaya fruits was found to be 16 °C for 8 days. The F hybrid fruits were more comparable to the local papaya variety, Mountain, on the various tested parameters, which could make it suitable for consumer utilization and market exploitation in Kenya.

Large Data Oriented to Image Information Fusion Spark and Improved Fruit Fly Optimization Based on the Density Clustering Algorithm

The density-based applied spatial clustering algorithm is an algorithm based on high-density interconnected regions, which discovers class clusters of arbitrary shapes in noisy data sets and is widely used. However, it suffers from slow computation speed due to large-scale disk I/O and clustering bias due to uneven density class clusters and poor parameter search ability. To address these problems, a parallel density clustering algorithm based on an improved fruit fly optimization algorithm and Spark memory iteration is proposed. The proposed algorithm first divides the data grid using an irregular dynamic density region partitioning strategy. Then, a hybrid fruit fly particle swarm algorithm based on a genetic optimization mechanism is proposed to achieve dynamic optimization seeking for parameters in local clustering to improve the clustering effect of local clustering. Finally, the local merging of samples in irregularly bounded grid cells under each partition is achieved by designing a custom clustering merging strategy. The experiments show that the improved algorithm is generally applicable to the clustering of different shape class clusters and larger scale data and has obvious improvement in accuracy and parallel efficiency.

A hybrid fruit fly optimization algorithm based on three dimensional space

The original fruit fly optimization algorithm (FOA) for the optimal solution in two dimensional space has been proposed to address complex optimization problems in a myriad of domains, such as production scheduling, path planning, financial investment, and software engineering. However, FOA is confronted with two defects unsolved. One is that the convergence speed is relatively low and the other is that the convergence accuracy is relatively low. In this paper, to solve the abovementioned two problems and improve the original FOA, we firstly propose a novel hybrid fruit fly optimization algorithm after due diligence, known as HFOA-3D based on three dimensional space, which takes advantage of crossover operator and mutation operator of genetic algorithm. We also conduct an experiment including five classic test functions to evaluate the performance of HFOA-3D. Finally, the experiment result shows that HFOA-3D outperforms the original FOA in terms of convergence speed and convergence accuracy.

Comparative Analysis of Volatile Components in Fruits of Cucumis Melo L. and Its Hybrid Progeny

[Objective] in order to understand the difference of volatile components in fruit of hybrid between wild melon and cultivated muskmelon, to provide technical reference for breeding. [Methods] the volatile components of wild cucumis melo L., Qingmapo and Huangmapo were analyzed by HPLC and GC-MS. [Results] the volatile compounds were identified in the fruits of these three cultivars, including 46 wild species, 92 species of Qingequao, and 79 species of Huangequao. The main volatile components are esters, olefins, alcohols, alkanes and amides. And the three varieties of volatile matter are different. Squalene, a volatile substance in wild cucumis melo, is not found in the progeny varieties. [Conclusion] the total amount of volatile substances in Qingmapo vesicle was the most, and that in Huangmapo vesicle was the least. The wild muskmelon fruit is rich in squalene and limonene, which is a kind of wild muskmelon breeding resource with high botanical value.

Integrated transcriptome and metabolome analysis unveiled the mechanisms of xenia effect and the role of different pollens on aroma formation in ‘Yali’ pear (Pyrus bretschneideri Rehd)

• ‘Hongnanguo’ pollinizer has a xenia effect on ‘Yali’ pear fruits aroma quality. • 189 DAMs and 12,032 DEGs were identified. • ‘Hongnanguo’ pollinizer increased the content of ABA, IAA, and ethylene. • Established a possible regulatory network of the mechanism of xenia effect on pear aroma formation. The flavor of ‘Yali’ pear fruits has substantially declined recently as a result of poor pollination tree selection. Xenia effect is a powerful mechanism for regulating aroma production. To study the effect of different pollens on aroma quality and the molecular basis of xenia effect in ‘Yali’ pear fruits, ‘Hongnanguo’ and ‘Xuehuali’ were used as pollinizers, and the hybrid fruits were named YH and YX, respectively. Metabolome, transcriptome, volatile compounds, and hormone were jointly analyzed in YH and YX peels with three ripening stages. After pollinating with ‘Hongnanguo’ pollen, the contents of total aroma, esters and nerolidol, the odor activity value of characteristic volatiles in YH were significantly increased, compared with the aroma character of the pollinizer cultivars, indicating ‘Hongnanguo’ pollinizer has a xenia effect on ‘Yali’ pear fruits aroma quality. Further, the content of ABA, IAA, and ethylene reveal the differences during aroma formation between YH and YX. 189 differentially accumulated metabolites (DAMs) and 12,032 differentially expressed genes (DEGs) were identified. Based on co-expression network analysis, network maps of ‘Yali’ pear aroma-related DEGs were generated. We surmise aroma biosynthesis genes ( ADH, ALDH, NES , and FPS ), ABA, IAA, ethylene signal transduction, and several transcription factors play important roles in the xenia effect.

Интродукция и селекция садовых роз в Ставропольском ботаническом саду

The analysis of the introduction and selection work with garden roses carried out in the Stavropol Botanical Garden is presented. The study of decorative and economic and biological features of garden roses allows us to reveal the potential of cultivars for further use in the practice of gardening, landscape design and breeding. The task of our research included: the study and selection of garden roses, taking into account adaptability and plasticity in the corresponding agro-climatic zones of Stavropol and the creation on their basis of new domestic cultivars of highly ornamental, with repair, long flowering and resistant to fungal diseases. To achieve this goal, the method of spontaneous somatic mutations and the method of intervarietal hybridization were used. Two cultivars of Yanka and Pearl of the Caucasus, obtained by spontaneous mutagenesis have adapted well, bloom profusely, which indicates the success of the introduction and the prospects for their use. In 2017 patents and copyright certificates were obtained for cultivars resulting from kidney mutations. During intersort hybridization, the cultivars of roses of the floribunda group Erfordia and Lion’s Rose, which are close in origin, differ little morphologically, tie fruits well with free pollination, have high decorative, repair, and resistance to mycoses, were involved in the breeding process. Both cultivars were included as maternal and paternal plants. The cultivar Erfordia, taken as a mother plant, when pollinated with pollen of the Lion’s Rose cultivar, tied hybrid fruits by 100%, and when pollinated with the Lion’s Rose cultivaris with pollen of the Erfordia cultivars, the fruits tied only by 60%. 104 hybrid seedlings were obtained from crossing two combinations, from which 7 valuable decorative hybrid seedlings were selected. The selected hybrid seedlings were vegetatively propagated on the rootstock of the dog rose (R. canina L.) and underwent primary cultivar evaluation.

A xanthophyll-derived apocarotenoid regulates carotenogenesis in tomato chromoplasts

Carotenoids possess important biological functions that make them essential components of the human diet. β-Carotene and some other carotenoids have vitamin A activity while lutein and zeaxanthin, typically referred to as the macular pigments, are involved in good vision and in delaying the onset of age-related eye diseases. In order to create a zeaxanthin-producing tomato fruit, two transgenic lines, one with a high β-carotene cyclase activity and the other with a high β-carotene hydroxylase activity, have been genetically crossed. Ripe fruits from the resulting progeny contained significant levels of violaxanthin, antheraxanthin, and xanthophyll esters. However, their zeaxanthin content was not as high as expected, and the total level of carotenoids was only 25% of the carotenoids found in ripe fruits of the comparator line. Targeted transcript analysis and apocarotenoids determinations indicated that transcriptional regulation of the pathway or degradation of synthesized carotenoids were not responsible for the low carotenoid content of hybrid fruits which instead appeared to result from a substantial reduction of carotenoid biosynthesis. Notably, the content of an unidentified hydroxylated cyclic (C13) apocarotenoid was 13 times higher in the hybrid fruits than in the control fruits. Furthermore, a GC-MS-based metabolite profiling demonstrated a perturbation of carotenogenesis in ripening hybrid fruits compatible with a block of the pathway. Moreover, carotenoid profiling on leaf, fruit, and petal samples from a set of experimental lines carrying the hp3 mutation, in combination with the two transgenes, indicated that the carotenoid biosynthesis in petal and fruit chromoplasts could be regulated. Altogether the data were consistent with the hypothesis of the regulation of the carotenoid pathway in tomato chromoplasts through a mechanism of feedback inhibition mediated by a xanthophyll-derived apocarotenoid. This chromoplast-specific post-transcriptional mechanism was disclosed in transgenic fruits of HU hybrid owing to the abnormal production of zeaxanthin and antheraxanthin, the more probable precursors of the apocarotenoid signal. A model describing the regulation of carotenoid pathway in tomato chromoplasts is presented.

An energy efficiency perceptive on MIMO‐OFDM systems using hybrid fruit fly‐based salp swarm optimization technique

AbstractThis paper is to plan for the development of energy‐efficient MIMO‐OFDM mobile multimedia communication systems using the intelligent meta‐heuristic approach. This model is concentrated on solving the multi‐channel optimization problem. Recent research work is focused on single‐channel optimization problems, and hence the conversion of multi‐channel optimization problems into single‐channel optimization problems is considered the challenging point in this research. In the proposed MIMO‐OFDM method for mobile multimedia communication systems, the channel‐matrix Singular Value Decomposition (SVD) method is used for implementing the sub‐channel grouping scheme, which has simplified the multichannel problem to a multi‐target single‐channel optimization problem. In this optimization problem, the transmission power‐allocation threshold is optimized for attaining the objective function of maximization of energy efficiency. A hybridized optimization algorithm named Hybrid Fruit Fly‐based Salp Swarm Optimization (HFF‐SSO) is utilized for energy optimization in the MIMO‐OFDM mobile multimedia communication system. This hybrid algorithm has reached an energy‐efficient system with a high convergence rate, which is proved by the comparison over the conventional systems.