Cotton Production Research Articles

Cotton Production In Armenia (During the Soviet period)

Cotton Production In Armenia (During the Soviet period)

Tolerance of Cotton to Herbicide-Coated Fertilizers

Abstract Cotton producers need residual herbicides that can safely and practically be applied postemergence (POST). Herbicide-coated fertilizers could allow for simultaneous application of residual herbicides and a bulk fertilizer blend. Therefore, a study was conducted in 2022 and 2023 in Fayetteville, AR, to evaluate cotton tolerance to 12 herbicide treatments coated onto a fertilizer blend and applied over cotton. Herbicides and rates evaluated included: diuron at 840 g ai ha-1, florpyrauxifen-benzyl at 29 g ai ha-1, flumioxazin at 105 g ai ha-1, flumioxazin plus pyroxasulfone at 70 + 90 g ai ha-1, fluridone at 168 g ai ha-1, fluometuron at 840 g ai ha-1, fomesafen at 280 g ai ha-1, pyroxasulfone at 128 g ai ha-1, saflufenacil at 66 g ai ha-1, saflufenacil plus dimethenamid-P at 25 + 219 g ai ha-1, saflufenacil plus pyroxasulfone at 44 + 91 g ai ha-1, and S-metolachlor at 1388 g ai ha-1. In both years, fluridone, fluometuron, diuron, and S-metolachlor caused less than 10% injury at 7 d after treatment (DAT). Higher injury levels were observed in 2022 (19 to 30%) compared to 2023 (4 to 12%) for flumioxazin, fomesafen, saflufenacil, saflufenacil plus dimethenamid-P, and saflufenacil plus pyroxasulfone. The elevated injury in one of two years was attributed to the presence of dew when the herbicide-coated fertilizer was applied. The initial injury was transient, as the cotton generally had recovered by 28 DAT for all herbicides. No differences in seed cotton yield or groundcover among the herbicide treatments occurred either year. These results highlight the potential of using several POST-applied, residual herbicides coated on fertilizer that are not currently registered for over-the-top use in cotton.

Exploring interactive effect of nitrogen and zinc for enhancing cotton productivity in arid climate

Nutrients imbalance particularly nitrogen (N) and zinc (Zn) is a major constraint for sustainable cotton production. Thus, we hypothesized that the combined application of N and Zn may increase N and Zn availability and enhance cotton productivity due to the synergistic effect between these nutrients. Therefore, the present field study was carried out for two consecutive years to explore the interactive effects of different N rates (N0 = 0, N1 = 120, N2 = 160, and N3 = 200 kg ha−1) and Zn rates (Zn0 = 0, Zn1 = 5 and Zn2 = 10 kg ha−1) on soil available N and Zn, and growth and yield traits of the cotton crop. The results indicated a linear increase in the soil available N and Zn and all the studied traits of the cotton crop with the progressive increase in N and Zn rates until 160 kg ha−1 N and 10 kg ha−1 Zn. The cotton crop showed the maximum seed cotton yield (3337–3368 kg ha−1) and total dry matter (9916–9988 kg ha−1) with the simultaneous application of 160 kg ha−1 N and 10 kg ha−1 Zn, which was attributed to higher growth, morphophysiological and yield traits in this treatment during both years. The findings of the study suggest that the application of 160 kg ha−1 N in combination with 10 kg ha−1 Zn is the best fertilizer management for increasing N and Zn availability and achieving higher seed cotton yield of cotton crop.

Evaluation of cotton foliar fungicides against target spot and areolate mildew in North Carolina, 2024

Target spot, caused by the fungal pathogen Corynespora cassiicola, and areolate mildew, caused by the fungal pathogen Ramulariopsis gossypii, are two emerging diseases of cotton in cotton production regions of the Southeast United States. While symptoms of target spot are brown, concentric lesions on leaves, and signs of areolate mildew are white, powdery growth on the underside of leaves, both diseases may cause early defoliation when infections are severe. This report evaluates the efficacy of conventional fungicide programs for the management of target spot and areolate mildew. The trial was conducted in 2024 in Rocky Mount, NC. Results from these trials will help advise cotton producers in developing management programs for these diseases.

Intelligent Crop Disease Detection and Classification Using Deep Convolution Neural Network with Honey Badger Algorithm on Image Data

Cotton is the most significant cash crop in India. Each year cotton production is decreasing because of the attack of the disease. Plant diseases are usually produced by pathogens and pest insects and reduce the yield to a large scale if not controlled in time. The hour requires an effective plant disease diagnosis system that can assist the farmers in their farming and cultivation. Nevertheless, cotton production is harmfully affected by the presence of viruses, pests, bacterial pathogens, and so on. For the past decade or so, numerous image processing or deep learning (DL)--based automated plant leaf disease recognition techniques have been established but, unluckily, they infrequently focus on the cotton leaf diseases. Therefore, this article develops an Intelligent Detection and Classification of Cotton Leaf Diseases Using Transfer Learning and the Honey Badger Algorithm (IDCCLD-TLHBA) model with Satellite Images. The proposed IDCCLD-TLHBA technique intends to determine and classify various kinds of cotton leaf diseases using satellite imagery. In the IDCCLD-TLHBA technique, the wiener filtering (WF) model is used to reduce noise and enhance image quality for subsequent analysis. For feature extraction, the IDCCLD-TLHBA technique applies the MobileNetV2 model to capture relevant features from the satellite images while maintaining computational efficiency. In addition, the stacked long short-term memory (SLSTM) method is employed for the classification and recognition of cotton leaf diseases. Eventually, the honey badger algorithm (HBA) is used to optimally select the parameters involved in the SLSTM model to ensure a better configuration of the network to enhance results. The performance validation of the IDCCLD-TLHBA method is carried out against the benchmark dataset and the stimulated results highlight the better results of the IDCCLD-TLHBA model across the existing techniques.

Divergent Cotton leaf curl Multan betasatellite and three different alphasatellite species associated with cotton leaf curl disease outbreak in Northwest India.

Cotton leaf curl disease (CLCuD) is a major constraint for production of cotton (Gossypium sp.) in Northwest India. CLCuD is caused by a monopartite, circular ssDNA virus belonging to the genus Begomovirus in association with betasatellites and alphasatellites, and ttransmitted by a whitefly vector (Bemisia tabaci). To explore the genetic variability in betasatellites and alphasatellite associated with the CLCuD-begomovirus complex in Northwest India. A survey was conducted for successive three years of 2014 to 2016 and twig samples from symptomatic and healthy cotton plants randomly were collected. Total plant DNAs were isolated, subjected to rolling circle amplification (RCA), cloning and sequencing. Full-length genome of 12 betasatellites and 13 alphasatellites, those were obtained in the present study, were analyzed. Sequence analysis showed that all the present betasatellites shared 85-99 percent nucleotide identity (PNI) among themselves and 84-95 PNI with other members of Cotton leaf curl Multan betasatellite (CLCuMB) and fell into one genogroup along with CLCuMB. But in close observation the present betasatellites clustered into two phylogenetic subgroups under single CLCuMB. The present alphasatellites showed 72-100 PNI among themselves and fell under three alphasatellite species, Gossypium Darwinii symptomless alphasatellite (GDarSLA), Cotton leaf curl Multan alphasatellite (CLCuMA) and Cotton leaf curl Burewala alphasatellite (CLCuBuA). In the recombination analysis, all the present betasatellites and alphasatellites were found to be recombinants involving intra species recombination in betasatellite, and interspecies recombination in alphasatellite species. The present study indicated that the betasatellite and alphasatellite molecules associated with CLCuD-begomovirus complex in Northwest India are genetically diverse.

Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling

Future climate change will strengthen cotton production but have substantial environmental costs—A focus on Xinjiang by APSIM modelling

Effect of thermal stress on the biological traits of pink bollworm (Pectinophora gossypiella Saunders) (Lepidoptera: Gelechiidae)

The pink bollworm (Pectinophora gossypiella) is a significant pest of cotton worldwide. Its occurrence and distribution across various cotton-growing regions are influenced by multiple factors, with temperature being a critical determinant. This study aimed to analyze the life history traits of the pink bollworm under different temperature regimes. Biological and demographic parameters of P. gossypiella were systematically examined at five specific temperatures: 20°C, 25°C, 30°C, 35°C, and 40°C, under a controlled photoperiod of 16 h of light and 8 h of darkness (LD 16:8 h). The results revealed that the total developmental period of the pink bollworm decreased with increasing temperatures, with the highest larval survival rates observed at 30°C and 40°C, reaching 78.93% and 63.89%, respectively. Moreover, pupal weight, mating success, and fecundity were significantly higher at 30°C and 35°C. In contrast, lower egg hatching rates, larval survival, and adult emergence were recorded at the extremes of 20°C and 40°C. These findings offer valuable insights into the population dynamics of P. gossypiella under field conditions and highlight the need for climate-resilient management strategies to mitigate its impact on cotton production.

Optimizing Cotton Yield through Macronutrient Mixtures

An incubation study, followed by a two-year field trial, was conducted at Tamil Nadu Agricultural University (TNAU), Coimbatore, to comprehensively assess the nutrient release and the effect of macronutrient fertilizer mixtures on nutrient uptake, nutrient use efficiency, cotton quality parameters, and crop yield during 2020 to 2021. The study aimed to identify the best fertilizer combinations of nitrogen (N), phosphorus (P), and potassium (K) sources to enhance cotton growth and productivity. The treatments, all involving 100% Recommended Dose of Fertilizers (RDF), comprised the following macronutrient mixtures: T1 (Urea + DAP + MOP), T2 (Urea + SSP + MOP), T3 (Urea + DAP + SOP), T4 (Urea + MAP + SOP), T5 (CN + DAP + MOP), T6 (CN + DAP + SOP), T7 (Urea + CN + SSP + MOP), T8 (CN + ASP + MOP), and T9 (Absolute Control). The incubation study provided insights into the nutrient release pattern from the different fertilizer mixtures over time. The two-year field trial confirmed that the application of a fertilizer mixture containing CN, DAP, and MOP (T5) significantly increased nutrient uptake T5 and agronomic use efficiency in cotton. The yield increase due to this particular treatment was 66.7% and 67.9% higher than the control during 2020 and 2021, respectively. Incorporation of sulfur-containing fertilizer mixtures, such as CN with DAP and SOP (T6 ), and urea with DAP and SOP (T3), markedly increased protein and oil content in cotton seed. Different fertilizer sources had no significant effect on lint quality parameters. Application of tailored macronutrient combinations to cotton plants improved nutrient uptake and yields, highlighting the practical benefits of strategic fertilizer application.

Energy Efficiency and Economic Viability of Mechanized and Conventional Cotton Production Systems under Rainfed Vertisols of Tamil Nadu

Energy efficiency is crucial for optimizing energy use, conserving resources, and assessing the input efficiency of agronomic practices. Cotton is known for its economic importance, thus many mechanized cultivation practices have been introduced. This study aimed to evaluate energy consumption and perform an economic analysis of mechanized and conventional cotton production under rainfed conditions in Tamil Nadu. The energy requirements for mechanized and conventional cotton cultivation were 17,001.1 and 15,456.0 MJ ha-1, respectively, with fertilizer application as the most energy consuming component of cotton cultivation in both the methods. Manual cotton cultivation proved to be labor-intensive, requiring 2,215.6 MJ ha-1 of labor energy, compared to just 174.2 MJ ha-1 in mechanized cultivation. Mechanization reduced labor needs by utilizing machinery such as power tillers for weeding and spindle-type cotton pickers for harvesting. In mechanized and conventional cotton cultivation, the contribution of direct, indirect, renewable, and non-renewable energy was 26.7%, 73.3%, 1.0%, 99.0%, and 24.4%, 75.6%, 14.3%, 85.7%, respectively. While the energy ratio, net energy gain, and energy productivity were higher in conventional methods, and mechanized cultivation had a higher specific energy. The total production cost for mechanized cultivation was Rs. 74,290 ha-1, which is 47.8% lower than conventional cultivation (Rs. 140,440 ha-1). Adopting mechanized practices could save Rs. 93,250 ha-1 in labor costs compared to conventional methods. Although the gross income from the Suraksha variety was 10.7% higher with conventional methods, the net income and benefit-cost ratio were greater with mechanized cultivation due to its lower total production costs. The study suggests that efforts to enhance cotton production's energy efficiency should focus on efficient fertilizer use, labor management, and reducing diesel fuel consumption by improving machinery performance.

Agricultural Experimentation in Cotton Cultivation under Natural and Climatic Conditions of Southern Russia (1920s-1940s)

This article examines the intricacies of cotton production organization in Southern Russia during the 1930s. It analyzes the progression and outcomes of cotton planting and harvesting campaigns amid challenging natural and climatic conditions. A comparative analysis of cotton sowing practices in Kalmykia and Dagestan is presented. The findings indicate that non-irrigated cotton farming developed more intensively in the former region, while irrigated cotton cultivation thrived in Dagestan, which had ample water resources. It is concluded that the increase in cotton production in Southern Russia during this period primarily resulted from the expansion of cultivated areas. The study demonstrates that pre-war Southern Russian cotton farming did not meet practical expectations and failed to provide the country with sufficient raw cotton. Archival documents serve as the primary materials for this research, introducing previously unpublished resources into the academic discourse. The relevance and practical significance of this study lie in the fact that the historical experience of cotton sowing in Southern Russia can inform contemporary agricultural development in the country.

Identification of the cysteine-rich transmembrane module CYSTM family in upland cotton and functional analysis of GhCYSTM5_A in cold and drought stresses.

Abiotic stress poses adverse impacts on cotton production, raising demands for a better understanding of stress-response mechanisms and developing strategies to improve plant performance to cope with stress. CYSTM (Cysteine-rich transmembrane module) is a widely distributed and conserved family in eukaryotes that performs potential functions in stress tolerance. However, CYSTM genes and their role in stress response is uncharacterized in cotton. Herein, we identified a total of 23 CYSTM genes from upland cotton. They underwent mainly segmental duplications and experienced purifying selection during evolution. Expression profiles revealed GhCYSTMs were closely related to abiotic stress response. Furthermore, GhCYSTM5_A overexpression enhanced the cold and drought tolerance of cotton, while RNAi-mediated knockdown of GhCYSTM5_A decreased stress tolerance. Transcriptome analysis revealed GhCYSTM5_A may contribute to cold and drought tolerance by regulating the expression of oxidative stress-related genes through MAPK signaling. GhCYSTM5_A, localized in the nucleus and cytoplasm interacted with a secreted cysteine-rich peptide GhGASA14. Moreover, GhGASA14 silencing rendered cotton plants vulnerable to cold and drought. These results suggested the potential functions of GhCYSTM genes in abiotic stress and a positive role of GhCYSTM5_A in cold and drought tolerance. This study sheds light on comprehensive characteristics of GhCYSTM, and provides candidate genes for genetic breeding.

Population dynamics of cotton leafhoppers [Asymmetrasca decedens and Empoasca decipiens (Hemiptera: Cicadellidae)] in conventional cotton production areas of Hatay province, Türkiye

In this study, the population dynamics of cotton leafhoppers [Asymmetrasca decedens (Paoli) and Empoasca decipiens (Paoli)] in conventional cotton production areas of Hatay province were investigated using the sweep-net sampling method. In the Melekli district, while 68.75% of the 5.480 individuals collected in 2022 were in the generative stage, while this population reaches 5,803 individuals in 2023, this population is predominantly (63.53%) were concentrated in the vegetative period, but the peak of the population period (generative) remained the same. In the Reyhanlı district, the 6.762 individuals collected in 2022 showed a relatively similar distribution across the vegetative and generative stages of cotton (56% and 44%, respectively). In 2023, the number of individuals collected decreased by 36% (4.382), with the population predominantly concentrating in the vegetative stage (70.2%) compared to the previous year, while the peak period (vegetative) remained the same. In the Altınözü district, 13,470 individuals collected in 2022 showed more presence in the vegetative period (83%) and increased significantly to 25,490 in 2023 (83.2%), 63.8% of the population was concentrated in the vegetative period and the peak period of the population remained the same in both years (vegetative). These findings are important for the detection of A. decedens and E. decipiens presence and the implementation of appropriate pest management programs in cotton production areas.

Genome-wide identification, characterization and expression profiles of FORMIN gene family in cotton (Gossypium Raimondii L.)

BackgroundGossypium raimondii serves as a widely used genomic model cotton species. Its genetic influence to enhance fiber quality and ability to adapt to challenging environments both contribute to increasing cotton production. The formins are a large protein family that predominately consists of FH1 and FH2 domains. The presence of the formin domains highly regulates the actin and microtubule filament in the cytoskeleton dynamics confronting various abiotic stresses such as drought, salinity, and cold temperatures.ResultsIn this study, 26 formin genes were analyzed and characterized in G. raimondii and mostly were found in the nucleus and chloroplast. According to the evolutionary phylogenetic relationship, GrFH were dispersed and classified into seven different groups and shared an ancestry relationship with MtFH. The GrFH gene structure prediction revealed diverse intron-exon arrangements between groups. The FH2 conserved domain was found in all the GrFH distributed on 12 different chromosomes. Moreover, 11 pairs of GrFH transpired segmental duplication. Among them, GrFH4-GrFH7 evolved 35 million years ago (MYA) according to the evolutionary divergence time. Besides, 57 cis-acting regulatory elements (CAREs) motifs were found to play a potential role in plant growth, development, and in response to various abiotic stresses, including cold stress. The GrFH genes mostly exhibited biological processes resulting in the regulation of actin polymerization. The ERF, GATA, MYB, and LBD, major transcription factors (TFs) families in GrFH, regulated expression in abiotic stress specifically salt as well as defense against certain pathogens. The microRNA of GrFH unveiled the regulatory mechanism to regulate their gene expression in abiotic stresses such as salt and cold. One of the most economic aspects of cotton (G.raimondii) is the production of lint due to its use in manufacturing fabrics and other industrial applications. The expression profiles of GrFH in different tissues particularly during the conversion from ovule to fiber (lint), and the increased levels (up-regulation) of GrFH4, GrFH6, GrFH12, GrFH14, and GrFH26 under cold conditions, along with GrFH19 and GrFH26 in response to salt stress, indicated their potential involvement in combating these environmental challenges. Moreover, these stress-tolerant GrFH linked to cytoskeleton dynamics are essential in producing high-quality lint.ConclusionsThe findings from this study can contribute to elucidating the evolutionary and functional characterizations of formin genes and deciphering their potential role in abiotic stress such as cold and salt as well as in the future implications in wet lab.

Determining Factors Affecting Agroecological Practices’ Acceptance and Use in Mali, West Africa

Land degradation issues and declining fertility are driving the need for agroecological practices. This research analysed the determinants of acceptance and actual use of five main agroecological practices (contour farming techniques, organic fertiliser, crop association, improved seeds and integrated crop management practices) by farmers in Mali. The extended Unified Theory of Acceptance and Use of Technology (UTAUT) was used to develop the conceptual model. Data were collected from 505 randomly selected farming households in the cotton and cereal production zones in Mali. Partial Least Square–Structural Equation Modelling (PLS-SEM) was used to estimate technology acceptance and use. The findings revealed that behavioural intention is significantly and positively influenced by the expected performance and social influence. The expected effort is a key influential factor of the behavioural intention to adopt organic fertiliser. Experience has a mediating effect on the relationship between social influence and behavioural intention to adopt improved seeds adapted to the agroecological conditions. The actual use behaviour is directly and positively affected by the behavioural intention, facilitating conditions and expected net benefit. These findings align with the UTAUT model, have useful implications for both farmers and decision-makers and offer directions for technical approaches to agroecological practices’ development.

Transcriptome-Based Gene Modules and Soluble Sugar Content Analyses Reveal the Defense Response of Cotton Leaves to Verticillium dahliae.

Verticillium dahliae is a soil-borne phytopathogenic fungus causing destructive Verticillium wilt disease that greatly threats cotton production worldwide. The mechanism of cotton resistance to Verticillium wilt is very complex and requires further research. In this study, RNA-sequencing was used to investigate the defense responses of cotton leaves using varieties resistant (Zhongzhimian 2, or Z2) or susceptible (Xinluzao 7, or X7) to V. dahliae. The leaf samples were collected at 48 and 72 hpi (hours post infection) from the two varieties infected by V. dahliae (strain Vd991) or treated by water. Compared to X7, Z2 had less genes responsive to V. dahliae infection at 72 hpi and had no DEGs (differentially expressed genes) at 48 hpi. WGCNA (Weighted Gene Co-Expression Network Analysis) revealed seven key gene modules which were responsible for the resistance of Z2 and susceptibility of X7. KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis of these modules found that several reported disease resistance pathways were found to be up-regulated in Z2, with some of those pathways down-regulated in X7. Unexpectedly, several photosynthesis-related pathways were significantly up-regulated in the leaves of X7 infected by V. dahliae, leading to different profiles of glucose content, which was significantly decreased at 72 hpi and 48 hpi in X7 and Z2, respectively. These results suggest that the leaves of resistant varieties have a slower and different response to V. dahliae compared to those of the susceptible variety, as well as that the translocation of sugars produced by photosynthesis in cotton leaves might vary between the two varieties. Additionally, several HUB genes regulating disease response were identified, including NDR1/HIN1-like protein 12, DELLA protein, cytochrome P450 family protein and LRR receptor-like serine/threonine-protein kinase genes, which have been reported to be related to disease resistance in other plants, which might serve as potential candidates for breeding cotton disease resistance.

Optimizing cotton production through efficient weed management using herbicides: A promising solution for labour-scarce farming

Cotton, often referred to as ‘White gold’ and the ‘King of fibre crops’ holds a significant position as a cash and fibre crop in India. Weeds contribute to approximately 45 % yield reduction in cotton cultivation at the national lev?el, making weed management a critical factor in determining cotton productivity, particularly in high-density planting systems (HDPS). Effective weed control optimizes resource allocation, leading to improved growth parameters and higher yields. This study investigates the efficacy of various weed management practices, including pre-emergence and post-emergent herbicide applications, in enhancing cotton yield under HDPS. The results clearly demonstrate that a combination of PE Pendimethalin (1.0 kg a.i./ha), Metolachlor (1.0 kg a.i./ha), POE Pyrithiobac sodium (0.075 kg a.i./ha), and Quizalofop ethyl (0.075 kg a.i./ha) led to significantly greater plant height (113.4 cm) and dry matter production (7609 kg ha-1 ) . This treatment also resulted insignificantly improved yield parameters, with a higher seed cotton yield of 2098 kg ha-1 , and yielded higher net returns of Rs.141961 ha-1 and a Benefit Cost Ratio (BCR) of 3.09. In the face of increasing labour scarcity, these herbicide-based weed management practices offer a viable solution for maximizing cotton productivity under HDPS. This approach supports the rapid expansion of cotton acreage in the current era of farm mechanization.

Tillage With Straw Returning Promotes Soil Functional Microbiomes and Nitrogen Transformation to Increase Cotton Yield

ABSTRACTThe soil microbial community and its driven nitrogen (N) conversion are the key processes in cotton production. However, the responses of soil microbial communities to changes in farming practices (e.g., tillage and straw returning) remain unknown. This study sampled soil from the 0–20 cm and 20–40 cm layers of cotton fields under no‐tillage (NT), tillage (T), no‐tillage + straw returning (NT + SR), and tillage + straw returning (T + SR) practices, and high‐throughput sequencing approach method was used to investigate the effects of farming practices on soil physicochemical properties, microbial community structure, and N metabolism pathways, as well as their associations with cotton yield. The survival rate (90.44% ± 0.90%) and yield (5314.0 ± 57.04 kg/ha) of cotton were highest under T + SR, and T improved cotton yield more effectively than SR. T increased the relative abundance of beneficial microorganisms and mediated their assimilation of ammonium nitrogen (NH+ 4‐N) by improving the soil physical properties. In addition, the survival rate and yield of cotton were primarily related to the fungal communities and their pathways of assimilating NH+ 4‐N because fungi had more complex and stable networks. The core microbiota contained most of the taxa that were significantly associated with N cycling genes and cotton yield, and even rare taxa could play an important role in microbial function. This study improves our understanding of the microbial N mechanism; T combined with SR can improve soil quality and establish healthy soil microflora (fungal‐dominated type) to improve cotton production.

Rainfall Variability and Cotton Production in Kouandé in the Atacora Department of Benin (West Africa)

Rainfall Variability and Cotton Production in Kouandé in the Atacora Department of Benin (West Africa)

IMPACT OF SEED PRIMING IN BOOSTING COTTON GERMINATION AND YIELD IN WARM AREAS

Cotton (Gossypium hirsutum L) has a high-ranked and exceptional position in the farming system of the globe. It is mainly grown during the kharif season. High temperature is one of the restricting and consistently approaching dangers to cotton efficiency in Pakistan. It has given a big loss in the recent few years. The plant parts like seedlings, bolls, and fiber quality attributes are incredibly affected because of high temperature. Production of cotton is decreasing due to many reasons mainly pest infestation and high temperatures. To fill the yield gap, an experiment was conducted in which different concentrations of plant extracts i.e. Sugar Beet Root Extract (1%), Watermelon Juice (1%), Moringa Leaf Extract (1%), Jantar Leaf Extract (1%), Spanish Leaf Extract (2%), Carrot Root Extract (1%), Ginger Root Extract (1%), and Lemon Juice (1%) were used. All growth-promoting substances had a significant impact on crop growth and yield attributes. However, maximum yield was associated with priming of seeds with moringa leaf extract (3%). Germination percentage (86.5), number of bolls plant-1(54.7), yield (3.5 tons ha-1), biological yield (11.8 tons ha-1), and harvest index (31.5) were significantly boosted by moringa leaf juice as priming agent. Based on the experiment, different parameters on the growth and yield of cotton were examined and analyzed statistically by using the least significant digit (LSD) at 5% through standard procedures.