The development of the rose-scented palmarosa crop stable varieties is primarily driven by the essential oil it contains, which is highly valued in the fragrance and cosmetics industries because of its high geraniol and geranyl acetate content. The objective of this investigation was to improve the stable yield and quality of the essential oil. Traditional breeding relies heavily on the harvesting phase to maintain consistency in the essential oil content. Findings from the AMMI and GGE analyses showed that various kinds exhibit both general and niche environmental adaptability. The mean essential oil yields, as well as geraniol and geranyl acetate, were significantly influenced by both genetic variation and environmental variables. The stability of the traits is also influenced by the correlations between different attributes across the four stages of the eight seasons/environments. Pr2 at full blooming stages 1 and 2 and Pr4 at full blooming stage 1 had stability for the maximum oil yield, geraniol, and geranyl acetate, based on the overall average of the eight seasons/environments in four stages of the crop. Because they have higher G × E, which makes them more sensitive to environmental changes, the AMMI model identified Pr2 at full flowering stages 1 and 2 and Pr4 at full flowering stage 1 as being more stable and better suited to their environments. Of the four varieties studied, Pr2 full flowering stages 1 and 2 and Pr4 full flowering stage 1 were identified as higher essential oil yielders and stable, and they also possessed other desirable characteristics like high herb' plant height, branches/plant, geraniol content, and geranyl acetate content. Therefore, commercial-scale production should take advantage of these stable cultivars.
The bulk of senna plant components are used to make herbal medications to treat infections and other ailments. Except for grading, more than 80% of dried leaves are exported from India. The current study examined the genetic variability, correlations, and character contributions of 25 senna accessions. The amplitude of the GCV was larger than that of the PCV, showing that the selected factors interact genetically. X1 had substantial and positive connections with X4, X5, X6, X8, X11, and X13, while X2 had significant and positive links with X7, X10, X11, X12, X13, and X14. The characteristic X11 made the largest direct contribution to the X14 attribute. In X1 and X13, the indirect effect was greater. Fresh and dry leaf weight had high heritability and medium GA over the mean, respectively, whereas pod weight had high heritability and GA over the mean, at 93.62 and 94.93%. The mean, heritability, and GA over the mean of genotypes Gen 1, 2, 3, 4, and 25 were selected for high yield in the most economically significant traits. As a result, the senna genotypes mentioned above may be effectively exploited.
Chile has been used as a spice because of its flavor and zest, which complement the minerals, vitamins, and other elements it contains when cooked. The objective of the current study was to determine how P. fluorescens and S. marcescens promote plant growth in Chili plants. The PGPR's phosphate solubilizing, IAA, NH3, HCN production, and antifungal activities were ascertained using in vitro experiments. During the study period 2020–2022, the experiment was conducted using a completely randomized block design, with three replications of the three treatments for each microorganism, as follows: 1) P. fluorescens: T0 (control, unsterile soil), T1 (P. fluorescens in rice husk), and T2 (P. fluorescens in sawdust); 2) S. marcescens: T0 (control, unsterile soil), T1 (S. marcescens in rice husk), and T2 (S. marcescens in sawdust) with no fertilizer. After seeding, the chili plant's parameters were measured at 15, 30, 45, 60, and 75 days and compared to the control using four traits: plant height, root length, shoot length, and the number of leaves per plant. The following bio-formulation, employing T0, enhanced plant height growth after seeding: In rice husk, Days 75 (B2×D5×T2) = 21.20 for S. marcescens>Days 75 (B1×D5×T2) = 20.83 for P. fluorescens>Days 60 (B1×D4×T2) = 19.17 for P. fluorescens Days 75 (B2×D5×T0) for S. marcescens in control, days 60 (B1×D4×T1 (16.43 cm) for P. fluorescens in sawdust, and days 75 (B1×D5×T0) for P. fluorescens in control. The root length (cm) for P. fluorescens in sawdust is 7.23 days (B1×D5×T2), which is more than P. marcescens in sawdust (days 60 B1×D4×T2), P. fluorescens in control (days 75 (B1×D5×T0) = 6.60cm), and S. marcescens in control (days 75 (B2×D5×T0) = 6.60cm), etc. Rice husk and sawdust were used to create the bio-formulations. The maximum plant growth was achieved at 75 days when S. marcescens was grown in a sawdust medium, including sawdust as a carbon source and carboxymethyl cellulose as a carrier source. When the different compositions of the bio-formulation were tested on chili plants, it was found that P. fluorescens and S. marcescens in sawdust bio-formulation were more effective.
In the pharmaceutical enterprise, traditional/herbal remedies and commercial drug sources Withania somnifera and Withania coagulans received excellent scores. Numerous studies have been conducted on the phytochemistry and pharmacology of Withania somnifera (L.) Dunal. However, the toxicity of plant components extracted using different solvent systems is yet to be ascertained. It is important to find out and isolate active ingredients. Advanced analytical and separation chemistry studies will reveal data on the toxicity, isolation of novel compounds, chemotypic diversity, and ethnobotany of the Withania somnifera (L.) Dunal. Modern tools of speed breeding can be applied, and micropropagation technology can be developed and used to ensure the supply of superior germplasm/improved varieties with genetic fidelity for farming. Genomics-assisted breeding, transgenic technologies, and gene-, genome-, and epigenome editing approaches may be considered new potential tools for metabolic engineering beneficial compounds from Withania somnifera (L.) Dunal.
The exegesis of ashwagandha (Withania somnifera L.) types related to various seasons was the focus of the current investigation. A field study was conducted at the CSIR-Central Institute of Medicinal and Aromatic Plants experimental field in Hyderabad, India, using a factorial randomized block design with three replicates over two years and four seasons (Kharif and Rabi). The all three factors were made up of with two years (2020-2021 and 2021-2022), eight varieties (Red berry, JA-134, Poshita, CIMAP-Pratap, CIMAP-Chetak, NMITLI-118, NMITLI101, CIM-Pushti), and two seasons (Kharif and Rabi) respectively. Plant growth indices (plant height, number of branches plant-1), phenological parameters (day to flower initiation and days to root harvest), yield attributes (main root length, root diameter, dry root yield hectare-1, and seed yield hectare-1) quality traits (starch content, fiber content, starch fiber ratio, and total alkaloid estimation) were evaluated. Research findings contribute to understanding of how seasons influence the characteristics of ashwagandha cultivars and their overall agronomic performance. Understanding how environmental factors, such as seasons, affect plant growth and development is crucial for optimizing agricultural practices and improving crop yields. The results obtained in this study can be used to select specific varieties for specific seasonal conditions and identify varieties that perform better in both states. Irrespective of the variety used, both seasons (Kharif and Rabi) produce higher dry root yield per hectare, and the rabi season yields superior results in terms of starch fiber ratio and total alkaloid content in ashwagandha. CIM-Pushti, NMITLI-101, and Poshita achieved good results concerning yield and quality aspects in the Kharif season. CIM-Pushti, NMITLI-101, and CIMAP-Pratap performed admirably during the Rabi season. CIMPushti and NMITLI-101 provide superior agronomic performance in both seasons (Kharif and Rabi).
Five cultivars were tested for essential oil production in India's citronella Java breeding program in 2018–2019 and 2019–2020. The best experimental facilities for growing aromatic grasses like Java citronella are the CSIR-CIMAP in Lucknow, Uttar Pradesh, and its Research Center in Pantnagar, Uttrakhand, India. For each experiment, a randomized block design with three replications was used. As stability parameters, the cultivar stability rank and SI were determined. To further analyze the data, GGE biplots, the AMMI, and the ASV were all applied. The G-E interaction was depicted using the genotype main effect. The findings of this research have a considerable impact on the selection of Java citronella cultivars in regions with higher essential oil production because they increase essential oil yields and improve stability. A superior Java citronella strain would yield a lot of essential oil, do so consistently, and flourish in a variety of conditions given India's climatic characteristics. Its essential oil has mosquito- and pest-repelling qualities. In major urban areas, citronella stand crops are used as green, aromatic vegetation. Its essential oil is used to make a variety of products, including soap, fragrances, cosmetics, and insect repellents. The ASV assists in choosing stable variants in the AMMI model on the multivariate side of things. The most stable cultivars are those with the lowest ASV. Average amounts of essential oil are produced by cultivars C1, C4, and C2, and because C1 produced more than C3 did, C5 was suggested for commercial planting.
One of the best fixatives for strong perfumes that add strength, character, seductive notes, and enduring properties is patchouli essential oil. It is highly prized in the fragrance, soap, cosmetics, and flavor sectors and acts as a standalone perfume. It is possible to learn crucial information about the plant's growth patterns and general compatibility with different environmental conditions by examining the consistency of patchouli cultivation, production of essential oils, and other key qualities throughout different years/environments. Patchouli is gaining popularity due to how simple it is to grow, particularly in shady orchards or forests where it is challenging to grow other food crops. To prepare for its extensive cultivation in India, the study's objective was to identify stable patchouli lines with high essential oil yields and distinctive aromas. An analysis of variance was performed using the AMMI statistical model to determine the additive main effect and multiplicative interaction (AMMI model) families for the economic traits. There was statistical significance for each of the main impacts of genotype (G) and interaction (GEI). Except for X7, all of the characters are affected by the treatment's (T) components. Except for traits X1, X4, and X5, IPCA 1 is also determined to be relevant. The overall winning lines for the essential oil yield (EOY) were GEN 2, 12, followed by GEN 3, and GEN 11, and for the patchouli alcohol, GEN 6, followed by GEN 8, 9, 1, and 3. For ar-curcumin (%), GEN 15, 5, 10, 6, and 12, and γ-curcumin (%), GEN 1, 8, 7, 9, and 2 were the genotypes that performed best. In this research, GEN 2, and 12 for essential oil (EO) production were the most preferable and stable genotypes. With their high mean essential oil yield and stable patchouli alcohol content, the genotypes GEN 2 and 12 for essential oil yield and GEN 6 and 8 for patchouli alcohol content were the most promising and might be used for commercial cultivation.
Lemongrass is grown for its essential oil as well as citral content. Lemongrass is an aromatic grass that contains essential oil with a lemon fragrance. This study aims to see how consistent essential oil production and other relevant characteristics were in multiple locations. For oil yield (kg/ha), citral (%), and other examined features, the present study found highly significant genotype locations/environment interactions. For the oil yield (kg/ha) and citral percentage, the genotype x locations interaction was less than the influence of genotypes throughout the locations. The traits X1 x X8, and X4 x X5 were positively associated and highly significant in all four locations (Vijayanagara, Rayagada, Koraput, and Rangareddy districts in the Indian states of Andhra Pradesh, Odisha, and Telangana). Based on the behavior of associations across different locations, trait selections will be advantageous. We recommend three winning lines for high essential oil yield: L-4, L-1, and L-2, and genotypes L4, L-1, and L-2 for high citral content (%) as stable lemongrass genotypes. The fraction of citral content with a pronounced lemon scent ranged from 70.59 to 73.20 percent in these stable genotypes. These lemongrass genotypes may be subjected to a national evaluation trial before being commercially cultivated.