Yield Performance Research Articles

GGE biplot analysis for yield performance and stability assessment of carrot genotypes (Daucus carota L.) under multi-environment trials (METs)

The stability of yield and contributing traits is a very important factor for long-term development and sustainability of cultivars. The genotype x environment (G × E) interaction on the yield stability in twenty-eight genotypes of carrot was studied under eight environments E1-E8 (different sowing dates) over the two years (2019–20 and 2020–21) at Vegetable Research Farm, Punjab Agricultural University, Ludhiana. The experiment was laid out in randomized complete block design with three replications under each environment. At each harvest, data was recorded for root yield (q acre−1), marketable yield (q acre−1), root length (cm), root weight (g), root-shoot ratio, root diameter (cm), core diameter (cm), shoot length (cm), shoot weight (g) and number of leaves plant−1. The data was analyzed with ANOVA, mixed models, BLUPs, GGE biplot and multi stability index for stability statistics. For all the traits, pooled analysis of variance revealed highly significant (p < 0.01) variations between genotypes, environments and genotype by environment (G × E interaction). The mean vs. stability view of GGE biplots revealed that genotype PC-171 (G6) performed better in the months of August and September of both the years (E1, E2, E5 and E6). PC-160 (G3) followed by Cartvar-2 (G25) performed better in the month of October (E3 and E7) for the root yield parameter. Mean across the environments and BLUP values of genotypes for all the traits showed similar results. Hence, GGE biplot graphically explained the interrelationships between the tested environments and genotypes, classified genotypes into three categories early, mid or late season based on their mean performance and stability in the given growing environment.

Genetic Variability Analysis for Yield and Yield-Associated Traits of Finger Millet [&amp;lt;i&amp;gt;Eleusine coracana&amp;lt;/i&amp;gt; (L.) Gaertn.] Accessions at Mechara, Eastern Ethiopia

The genetic enhancement of any crop, including finger millet, requires a certain degree of genetic variation for effective utilization in crop improvement programs. However, in Ethiopia, there is limited information on the extent and pattern of genetic variability of finger millet collections under diversified agro-climatic conditions. This makes it difficult for a population to adapt to changing environmental conditions. As a result, the population may be more vulnerable to extinction, exposure to new diseases, low productivity, and selection acting on any genes that may provide disease resistance. Therefore, knowledge of genetic variability is crucial for breeders in order to develop new cultivars with desired traits that are beneficial for both farmers and breeders. The present investigation was carried out to estimating the genetic variability, heritability, and genetic advance in sixty four finger millet accessions for yield and yield-related traits at Mechara agricultural research center. The experimental design was laid out in 8 x 8 simple lattice design. The analysis of variance for mean sum of squares due to genotypes revealed highly significant differences for all the 17 quantitative characters. The genotypes showed the highest mean performance for grain yield ranged from 1.38 ton per hectare for ACC#208448 to 4.35 ton per hectare for ACC#230255. Whereas, genotypic and phenotypic coefficients of variation were found high for biomass yield, harvest index, and grain yield. Broad-sense heritability ranged from 50.12% for the number of fingers per ear to 93.18% for days to heading. High heritability coupled with high genetic advance as percent of mean were observed for leaf number, finger length, ear weight, thousand grain weight, biomass yield, and harvest index. In general, the results demonstrated that the finger millet accessions exhibited a high degree of genetic variability for the traits studied, which can be helpful for genetic enhancement.

Effects of Nopal and Goat Manure on Soil Fertility and the Growth, Yield and Physical Characteristics of Tomato and Carrot Plants

Nopal (Opuntia) is a resource that is discarded after pruning complete cladodes. For this reason, the aim of this study was to investigate the effects of the combined use of organic matter (nopal) and goat manure on changes in soil characteristics and on the growth and yield performance of carrot and tomato plants. Physicochemical analysis of the soil and goat manure was carried out, and germination tests and physical characterization of the plants and the products obtained were performed on tomato and carrot plants after adding the components of the cladodes alone and the cladodes with goat manure. The results showed that the application of the nopal cladode components increased the cation exchange capacity of the soil. The highest germination rate was obtained by the application of liquid nopal, with a 1.7-fold increase in the germination rate of carrot seeds, while that for tomato seeds was only 14%. Similar results were obtained for the germination percentage. An increase in resistance to water stress of approximately 15 days was observed in both tomato and carrot plants. Plant development and production were achieved in tomato, with a 100% increase in carrot plant length and a threefold increase in production. The addition of nopal to the soil improved the soil characteristics and the production yield of carrots and tomatoes.

Stability Assessment of Groundnut ABLs Using AMMI and GGE Biplot Analysis for Yield Performance under Multi-environments

The current study focused on Identification of stable line among the eight groundnut ABLs and two checks were assessed in three different environments in Karnataka during the 2020-2021 Kharif and Rabi seasons with randomized complete block design (RCBD) with three replications. The analysis of variance revealed significant differences (p≤0.01) among the genotypes, environments, and the genotype by environment interaction (G×E) for kernel yield. The AMMI analysis also showed highly significant differences (p≤0.01) for varieties, environments, and their interaction on kernel yield. The IPCA1 and IPCA2 components explained 72.72% and 25.00% of the total G×E sum of squares, respectively. The variations in kernel yield were attributed to the environment (16.44%), ABLs (81.87%), and ABLs by environment interaction (1.68%). ABLs T65, T77, T81, and T82 were identified as stable across all three environments based on ASV and SI for kernel yield per plant. These stable lines can be used as parents in breeding programs. The AMMI model and GGE biplots were effective tools for evaluating the adaptability and stability of groundnut genotypes in diverse environments.

The Performance of Agronomic and Quality Traits of Quinoa under Different Altitudes in Northwest of China

Quinoa is a resilient crop known for its adaptability to diverse environmental conditions. This study examined the agronomic performance and ecological adaptability of quinoa across four distinct altitudes in the northwestern regions of China. Six quinoa genotypes were assessed for agronomic traits, phenology and yield performances, and nutritional quality characteristics in Yining city, Nilka County, Tekes County and Zhaosu County under varied environmental conditions. Our findings demonstrate significant variations in all measured traits, including agronomic and nutritional quality traits, across the various altitudes and genotypes. In Yining city, a warmer and lower altitude area, genotypes exhibit superior traits for fodder production, including increased branches, longer panicles, robust stems, and high seed protein content. Genotypes Jinli 1 and Beijing 2 achieve yields exceeding 3 tons per hectare (t/ha), highlighting the region’s productivity. The Nilka and Tekes counties boasted the shortest quinoa crop cycles, with Jinli 1 yielding 4.05 t/ha seeds in Tekes County, exhibiting high protein and fat content alongside low saponins, making it a prime location for yield production. Zhaosu County, with its cooler climate and fertile chernozem soil, elicited high 1000 seed weight and more robust protein response than Nilka and Tekes counties, illustrating the impact of soil fertility on nutritional composition. Correlation analyses further elucidated that the plants characterized by shorter flowering times, crop cycles, compact inflorescence, and taller heights exhibited superior seed yields. Our study contributes significant insights into the ecological adaptability and nutritional dynamics of quinoa, with implications for sustainable crop production and food security in diverse agroecosystems.

P‐161: Full‐in‐situ Imaging and Laser Processing System Supporting Detection and Removal of Defective Micro‐LED Dies During Mass Transfer

Micro‐LEDs have been hailed as the next‐generation display technology, with mass transfer being the key to achieving mass production of Micro‐LED displays. During the mass transfer process, it is crucial to identify and remove defective dies in order to ensure high yield and optimal display performance. In this paper, a novel in‐situ observation, imaging, and laser processing system is proposed, enabling online, in‐situ, and zero‐misalignment removal of faulty dies during the mass transfer process. This system holds great promise for significantly improving the efficiency of mass transfer and further driving the realization of mass production for Micro‐LED displays.

Residual Effect of Organic Waste Mulching and Intercropping Aerobic Rice with Peanut on Yield Performance of Mungbean Direct-seeded Following Rice on Raised-beds in Lombok, Indonesia

In Indonesia, in the paddy fields, mungbean is generally planted in the dry season as a rotation crop for rice when irrigation water is insufficient for growing rice, so the productivity of mungbean is generally very low. This research aims to determine the impact of cultivation techniques of aerobic-irrigated red rice grown on permanent raised-beds applied with various organic wastes on growth and yield of mungbean direct-seeded following harvest of red rice. The experiment carried out in June-August 2020, was arranged according to Split Plot design, with two treatment factors: techniques of cultivating aerobic-irrigated red rice, as main plots (T1: monocrop; T2: intercropping with peanuts), and application of various organic wastes to the red rice, as subplots (L0: no waste, L1: rice husks, L2: rice husk ash , L3: rice husk ash + cattle manure). The results indicated that techniques of red rice cultivation and application of various wastes to the red rice showed significant interaction effect on pod number and dry filled-pod weight of mungbean direct-seeded following the red rice, in which dry filled-pod weight was highest (14.44 g/clump) in mungbean direct seeded following aerobic-irrigated red rice intercropped with peanuts receiving rice husk ash (T2L2), and lowest (6.74 g/clump) in mungbean direct-seeded following monocropped red rice without organic wastes (T1L0). Both intercropping with peanuts and application of organic wastes to the red rice preceding mungbean, in general, resulted in higher grain yields of mungbean direct-seeded without tillage following harvest of the aerobic-irrigated red rice grown on raised-beds.

Genotype by environment interaction and stability study in bread wheat (Triticum aestivum L.) genotypes in Guji Zone, Southern Ethiopia

Genotype by environment interaction and stability study in bread wheat (Triticum aestivum L.) genotypes in Guji Zone, Southern Ethiopia

Effects of essential oils on heat-stressed poultry: A review.

While certain animal species are sensitive to heat stress, poultry particularly modern breeds, are more susceptible to high ambient temperatures. This has major implications for the poultry industry, as heat stress causes large financial losses. These economic losses will probably increase as a consequence of a predicted rise in global temperatures. Heat stress adversely affects various aspects of poultry, including physiological responses, growth and production performance, meat quality, egg quality, and reproductive activities. These effects occur through specific molecular and metabolic pathways. To mitigate the impacts of heat stress, it is crucial to go beyond administrative practices and implement dietary interventions during high ambient temperature. Such interventions aim to optimize the development of stressed bird species in terms of performance, health, and profitability. Essential oils have shown promising in mitigating the negative effects of heat stress and improved antioxidant status, growth and yield performance, as well as meat and egg quality in poultry. They actively participate in certain metabolic and molecular pathways that help to counteract the effects of heat stress. The article discusses the impacts of essential oil supplementation on the relationships between antioxidant enzyme activity, these molecular, and metabolic pathways, as well as various parameters such as growth and yield performance, and product quality heat-stressed poultry.

Genotype by environment interaction and performance stability of common bean (Phaseolus vulgaris L.) cultivars grown in Dawuro zone, Southwestern Ethiopia

Abstract The performance of most crop genotypes varies significantly depending on their genotype–environment interactions. Providing information on high-yielding and well-adapted common bean genotypes in a given environment is crucial for small-holder farmers to boost their productivity. A field trial was conducted at the Gendo and Wara locations over two consecutive seasons to understand genotype–environment interactions on grain yield and to identify and select common bean genotypes that were better adapted and had high yield potential for production. Ten genotypes were evaluated for their performance using a randomized complete block design with three replications. The AMMI and GGE models were used to identify superior genotypes regarding their mean grain yield performance. The AMMI analysis of variance results showed that grain yield was significantly (p ≤ 0.05) influenced by genotype–environment interactions. This shows that genotypes varied in grain yield mean performance across environments, indicating the possibility of selecting suitable genotypes with specific and broad adaptability. The sum of squares factor indicated that grain yield variation was contributed by the genotype (61.0%), followed by the environment (29.80%) and the genotype–environment interaction effect (9.20%) of the total variation. The AMMI and GGE biplot analysis results showed that SER-119 and SER-125 were identified as the best genotypes regarding their mean grain yield performance. Additionally, the genotype selection index analysis result indicated that SER-119 and SER-125 were stable and consistently exhibited high mean performance in all evaluated settings. Therefore, SER-119 and SER-125 are prime candidates for production in various agroecologies suitable for common bean cultivation in Dawuro zones. The use of tools like GGE biplots and AMMI analysis helped visualize the genotype–environment interactions, aiding in the selection of appropriate genotypes for both specific and wide adaptability.

Investigating the dynamics of upland rice (Oryza sativa L.) in rainfed agroecosystems: an in-depth analysis of yield gap and strategic exploration for enhanced production

IntroductionAddressing the global demand for rice production necessitates innovative approaches to enhance upland rice yield in rainfed agroecosystems, considering the challenges posed by increasing population, limited land fertility, low productivity, and water availability.MethodsIn this study, our study investigated the impact of biochar and organic fertilizer on ten promising rice lines (G1 – G10) and two control (G11 – G12) cultivars under rainfed conditions. The experimental design used a split-plot design with four soil amendments as main plots, namely control, organic fertilizer, biochar, and biochar + organic fertilizer and 12 rice genotypes as subplot.ResultsThe absolute attainable yield gaps, differentiating organic and control (GAP1), biochar + organic and control (GAP2), and biochar and control (GAP3), ranged from 1.5 to 3.7 or increased of 91–580%, 0.8 to 3.5 (72–560%), and 0.6 to 2.58 tons/ha (58–472%), respectively. Notably, G2 + organic exhibited the highest positive absolute yield gap, ranging from 1.1 to 5.38 tons/ha, based on the yield gap matrix. Furthermore, genotype main effect plus genotype-environment interaction (GGE) biplot analysis identified G2 as the most promising rice line, displaying superior yield performance for cultivation in biochar and organic amended soils.DiscussionThese findings provide valuable insights for farmers, governments, and stakeholders, offering a roadmap to optimize rainfed areas for rice production, serving as practical guidance to enhance overall rice productivity in rainfed agroecosystems.

Variability Studies of Various Traits and Selection of Water Logging Tolerant Clones in Early Generation

An experiment was carried out in January, 2021–December, 22 at Sugarcane Research Institute, Dr. RPCAU, Pusa, Samastipur, Bihar, India to screen the genotypes for tolerance to water-logging from July to September in the early clonal generation of sugarcane. The experimental design followed was augmented design, in which a total of 24 clones were planted together with 2 checks. The degree of genetic variability present in the base population and the heritability of the traits being improved will be key factors in any breeding programme success. For all of the observations, the analysis of variance indicated highly significant differences among the clones. The range of variation in mean value was comparatively wide for number of shoots at 120 DAP, plant height, number of millable canes and cane yield. The traits cane yield and sucrose content play a crucial role in selecting the appropriate clones. Thus, from the studies the clone CoX 20069 recorded the highest mean performance for cane yield. Whereas the genotype CoX 20068 showed the highest mean performance for HR Brix in November, December and January. Based on the brix value, cane yield and morphological performance eight clones namely CoX 20069, CoX 20068, CoX 20055, X 20030, X 20035, CoX 20054, CoX 20056, CoX 20246 can be selected for further utilization in breeding programme under water- logging condition. All the clones in the present study had non-flowering and non-lodging morphological behaviour.

Foliar Application of Seaweed Extract and Micronutrients on Plant Growth and Yield of Strawberry (Fragaria X ananassa Duch) CV. Winter Dawn

The review summarizes the findings from recent studies, assessing the impact of foliar application of seaweed extracts and micronutrients on strawberry plants. Improvements in growth parameters, nutrient uptake, TSS, and yield attributes were observed. The study also determines whether adding seaweed extracts and micronutrients to strawberry growth methods can improve plant performance in general and fruit yield in particular. Minerals, amino acids, and plant growth regulators are among the bioactive substances found in seaweed extracts that have been shown to have a positive impact on a number of plant physiological functions. Furthermore, vitamin shortages might result in decreased growth and yield because they are essential to the plant's metabolic processes. The combination of micronutrients and seaweed extract has synergistic effects that offer a promising way to boost the general health and yield of strawberry crops.

Dynamics effect of volatility index, interest rates, and commodity prices on Indonesian bond yields

Several factors influence the movements and dynamics of bond yields in financial markets. The determination of monetary policy, specifically the decisions regarding interest rates made by central banks, is a critical factor. Moreover, bond yields can be influenced by various factors such as geopolitical events, financial volatility, market sentiment, and investor risk appetite. These factors can impact the demand and supply dynamics in bond markets. This research aims to analyze the influence of Interest Rates, IDR to USD Exchange Rates, Volatility Index (VIX), Gold and Oil Prices on Bond Yields in Indonesia. The data used in this research is secondary data, which consists of time series data from 2019-2023. This research investigates the impact of financial and commodity prices on bond yields in Indonesia by using the autoregressive distributed lag (ARDL) model to examine both the long-run correlation and short-run effect. Empirical results found that Interest Rate, Volatility Index (VIX), and Oil Prices have a significant positive influence. Meanwhile, the Gold Price variable has a significant negative influence. This research has several crucial policy implications for investors concerning the national monetary policy, exchange rate fluctuation, and global volatility index to create profitable and sustainable portfolio strategies. Moreover, investment managers and investors should be concerned about the global commodities prices that will affect bond yield performances. This research contributes to the recent literature presenting causal relations of global volatility index (VIX) on Indonesian bond yield.

Enhancing Farmers Maize Productivity and Profitability in Central Ethiopia: Insights from Participatory Demonstration and Evaluation of Maize Varieties

Despite its significance for food security and income, maize production in the Guraghe zone faces challenges like low yield and susceptibility to pests and disease. Cognizant of this fact, this study aims to determine the maize variety with optimal productivity and economic feasibility through active participation of farmer’s in Abeshge district of Gurage zone and Kebena special districts. A participatory action research design was followed to demonstrate and evaluate maize technologies for two consecutive years in the study areas. A total of 124 purposively selected farmers were participated in the on-farm evaluation of the varieties. While a total of 24 demonstration has been made in both districts over the course of two years’ time 2021/22-2022/23 main cropping seasons. Both quantitative and qualitative data were collected viz focus group discussion, key informant interview and formal data sheet. The analysis of collected data involved the application of descriptive statistics, including mean, median, and percentage, alongside inferential statistics like the Mann-Whitney U-test. Evaluation of demonstrated maize varieties utilized techniques such as pair-wise ranking matrix, technological gap index, and extension gap. Additionally, the economic feasibility of these varieties was assessed through partial budget analysis. BH-549 consistently outperforms BH-546 in grain yield and technological performance, with a mean grain yield advantage ranging from 4.49% to 14.6%. In addition, the Mann Whitney U-test result also reveals that BH-549 has a statistically significant (P=0.019) higher grain yield than BH-546 in 2021/22 and (P=0.026) in 2022/23. Farmers’ preferences also align with BH-549, ranking it higher across various traits. Economically, BH-549 demonstrates superior profitability, highlighted by a higher Marginal Rate of Return (MRR) and MRR percentage (770), emphasizing its economic viability for smallholder farmers. As BH-549 exhibits a consistent superiority in yield, farmers preference and economic viability, the study recommends for further dissemination of BH-549 (Ilu) maize variety than BH-546 concerned bodies such as zonal and district level agriculture offices, NGO’s and seed enterprises in the study areas.

Negative regulation of chitosan-induced stomatal closure by glutathione in Arabidopsis thaliana.

Chitosan (CHT) is a deacylated derivative of chitin and improves growth and yield performance, activates defensive genes, and also induces stomatal closure in plants. Glutathione (GSH) has significant functions in the growth, development, defense systems, signaling, and gene expression. GSH negatively regulates abscisic acid-, methyl jasmonate-, and salicylic acid-induced stomatal closure. However, the negative regulation by GSH of CHT-induced stomatal closure is still unknown. Regulation of CHT-induced stomatal closure by GSH in guard cells was investigated using two GSH-deficient mutants, cad2-1 and chlorina 1-1 (ch1-1), and a GSH-decreasing chemical, 1-chloro-2,4-dinitrobenzene (CDNB). The cad2-1 and ch1-1 mutations and CDNB treatment enhanced CHT-induced stomatal closure. Treatment with glutathione monoethyl ester restored the GSH level in the guard cells of cad2-1 and ch1-1 and complemented the stomatal phenotype of the mutants. These results indicate that GSH negatively regulates CHT-induced stomatal closure in Arabidopsis thaliana.

Subclinical mastitis in Jersey dairy cows and its effects on productivity and inflammatory markers

This study assessed the effect of subclinical mastitis on the productivity and inflammatory markers in Jersey dairy cows. Blood, milk, and milk yield data were collected from 59 Jersey dairy cows reared under a semi-extensive system. Milk samples were collected from individual collectors and evaluated for their somatic cell count (SCC), lactose (Lact), protein, fat, total and defatted dry extracts (DDE), casein, freezing point, and milk urea nitrogen (MUN) levels. After milking, blood was collected by puncturing the coccygeal arteriovenous complex. In the serum samples, the inflammatory biomarkers paraoxonase-1, albumin, and total plasma protein levels were analyzed using colorimetric methods. Samples of the entire diet provided and pastures were submitted for bromatological analysis. Additionally, the body condition score, number of lactations, milk yield, days of lactation, calving interval, number of inseminations until conception, calving-conception interval, and days of pregnancy were analyzed. The cows were categorized based on their SCC into a subclinical mastitis group (SubG), with SCC levels greater than or equal to 200,000 cells/mL, and a control group (CG), with SCC levels below 200,000 cells/mL. Blood metabolic variables, milk quality, and milk production data were analyzed using multivariate regression, analysis of variance, and logistic regression using the SAS® program. The multivariate regression analysis revealed that several markers, such as Lact, total protein, and casein, influenced milk composition, predicting over 97% of the data. The SubG showed lower concentrations of Lact (4.37 vs. 4.47%; P = 0.0002), MUN (20.55 vs. 23.85 mg/dL; P = 0.02), and DDE (9.24 vs. 9.50%; P = 0.02) compared with the CG; moreover, animals in the SubG had a higher number of lactations compared with those in the CG (4.30 vs. 2.69; P = 0.0039). Cows with a Lact content lower than 4.265% (quartile 25%), compared with those with Lact content greater than 4.565% (quartile 100%), were 52 times more likely to have subclinical mastitis. Jersey dairy cows with subclinical mastitis have lower Lact, urea, and defatted dry extract levels in their milk as well as a higher number of lactations. Therefore, Lact levels in milk serve as a good diagnostic marker of subclinical mastitis in Jersey cows. Subclinical mastitis in Jersey dairy cows did not decrease milk yield nor effect reproductive performance.

Development and evaluation of Fusarium wilt-resistant and high-yielding chickpea advanced breeding line, KCD 11.

Fusarium wilt (FW) is the most severe soil-borne disease of chickpea that causes yield losses up to 100%. To improve FW resistance in JG 11, a high-yielding variety that became susceptible to FW, we used WR 315 as the donor parent and followed the pedigree breeding method. Based on disease resistance and yield performance, four lines were evaluated in station trials during 2017-2018 and 2018-2019 at Kalaburagi, India. Further, two lines, namely, Kalaburagi chickpea desi 5 (KCD 5) and KCD 11, which possesses the resistance allele for a specific single-nucleotide polymorphism marker linked with FW resistance, were evaluated across six different locations (Bidar, Kalaburagi, Raichur, Siruguppa, Bhimarayanagudi and Hagari) over a span of 3 years (2020-2021, 2021-2022 and 2022-2023). KCD 11 exhibited notable performance, showcasing yield advantages of 8.67%, 11.26% and 23.88% over JG 11, and the regional checks Super Annigeri 1 (SA 1) and Annigeri 1, respectively, with enhanced FW resistance in wilt sick plot. Further, KCD 11 outperformed JG 11, SA 1 and Annigeri 1 in multi-location trials conducted across three seasons in the North Eastern Transition Zone, North Eastern Dry Zone, and North Dry Zones of Karnataka. KCD 11 was also tested in trials conducted by All India Coordinated Research Project on chickpea and was also nominated for state varietal trials for its release as a FW-resistant and high-yielding variety. The selected line is anticipated to cater the needs of chickpea growers with the dual advantage of yield increment and disease resistance.

Assessment of Allelopathic Effect of Albizia Lebbeck Leaf Residues on the Yield Performance of Rice

Assessment of Allelopathic Effect of Albizia Lebbeck Leaf Residues on the Yield Performance of Rice

Enhancing Fresh-Cut Apple Preservation: Impact of Slightly Acidic Electrolyzed Water and Chitosan-Apple Essence Microencapsulation Coating on Browning and Flavor.

Fresh-cut apple preservation is a critical concern in the food industry due to the rapid deterioration of texture, color, and flavor. While our previous study introduced apple essence microencapsulation (AEM) to enhance flavor during storage, its impact on overall storage quality was minimal. Thus, this study explores the application of two preservation techniques, namely, slightly acidic electrolyzed water (SAEW) and chitosan-apple essence microencapsulation (CH-AEM) coating, to enhance the quality of fresh-cut apples. Our findings reveal that SAEW treatment significantly reduces the browning index (from 65.38 to 57.36) and respiratory rate (from 5.10% to 4.30% of CO2), and maintains a desirable aroma profile compared to uncoated treatment during 10 days of storage. Additionally, the CH-AEM coating acts as a protective barrier, further preserving the sensory characteristics of fresh-cut apples. Notably, the SAEW-CH-AEM group exhibits superior performance in firmness (8.14 N), respiratory rate (3.37% of CO2), ion leakage (34.86%), and juice yield (47.52%) after 10 days. Our research highlights the synergistic effect of combining these preservation strategies, providing a promising approach for extending the shelf life of fresh-cut apples while maintaining their visual appeal and aromatic quality. These results offer valuable insights for the fresh-cut produce industry, contributing to improved apple product preservation and consumer satisfaction.