This study investigates the impact of varying planting densities on cotton plants’ morphological traits and yield. As planting density increases, there is a reduction in monopodial and sympodial branches, resulting in a more compact plant structure. The study highlights the highest yield achieved with specific planting densities, endorsing the viability of both holl and row planting methods. It suggests adopting narrow or ultra-narrow row systems to enhance yield and economize input costs. The study was conducted in 2017 at the experimental field of Aydın Adnan Menderes University in the Faculty of Agriculture’s Department of Field Crops. The material used in this study was the widely cultivated cotton variety “Gloria” in the Aegean region. The investigation was conducted using a randomized block design with 4 replications. In evaluating cotton yield and related parameters, it was observed that D1 and D2 (14.285 plants/da) achieved the highest yield concerning plant density, emphasizing the viability of both holl and row planting methods. The study concluded that augmenting the number of plants within a specific area of production significantly contributes to higher seed cotton yields. To enhance yield and economize cotton input costs, the adoption of a narrow or ultra-narrow row production system is suggested as an alternative strategy to conventional methods.

This study investigated the effects of boron toxicity and humic substance applications on cotton fiber quality and yield over two consecutive years, targeting boron toxicity issues in soils affected by agricultural and geothermal activities. The experiment evaluated varying concentrations of boron (0.6–1.8–5.4–16.2 mg B l-1) and humic substances (0–200–400 kg ha-1), with a focus on their effects on seed cotton yield, fiber length, fineness, strength, and gin efficiency. In the first year, the highest seed cotton yield was recorded at 452.5 kg da-1 with the B1 application, followed by 428.3 kg da-1 with B2. In the second year, increased boron application led to a notable decrease in seed cotton yield, with the lowest yield at 99.3 kg da-1 for the B4 application. The highest dose of boron also significantly reduced fiber strength, with the lowest recorded at 31.57 g/tex, and gin efficiency, which dropped to 37.98%. Humic substance applications showed limited influence on fiber quality parameters; however, the highest dose (H3) led to a significant increase in fiber strength to 33.47 g/tex in the second year. Cotton leaves accumulated substantial amounts of boron, reaching concentrations of 2048 mg B kg-1 during the flowering period of the second year, suggesting that cotton could serve as a hyperaccumulator in phytoremediation efforts for boron-contaminated soils. The study further determined that cotton can tolerate boron concentrations in irrigation water ranging from 1.8 to 5.4 mg B l-1, making it a viable crop in boron-affected regions. These findings provide critical insights into the potential of cotton as a resilient crop in environments with elevated boron levels, underscoring the need for further research to optimize cotton cultivation under such conditions.

This study investigates the impact of varying planting densities on cotton plants’ morphological traits and yield. As planting density increases, there is a reduction in monopodial and sympodial branches, resulting in a more compact plant structure. The study highlights the highest yield achieved with specific planting densities, endorsing the viability of both holl and row planting methods. It suggests adopting narrow or ultra-narrow row systems to enhance yield and economize input costs. The study was conducted in 2017 at the experimental field of Aydın Adnan Menderes University in the Faculty of Agriculture’s Department of Field Crops. The material used in this study was the widely cultivated cotton variety “Gloria” in the Aegean region. The investigation was conducted using a randomized block design with 4 replications. In evaluating cotton yield and related parameters, it was observed that D1 and D2 (14.285 plants/da) achieved the highest yield concerning plant density, emphasizing the viability of both holl and row planting methods. The study concluded that augmenting the number of plants within a specific area of production significantly contributes to higher seed cotton yields. To enhance yield and economize cotton input costs, the adoption of a narrow or ultra-narrow row production system is suggested as an alternative strategy to conventional methods.

In this research, it is aimed to investigate the economic performance of cotton farms and to reveal the profitability and competitiveness of cotton production in Founia district of Kita province. The research data were obtained from the questionnaires conducted with 55 farms determined according to the stratified random sampling method. Policy Analysis Matrix was used to determine profitability and competitiveness in cotton production. The results of the research showed that the farms in Founia county have an average of 10.44 da farm land. Gross production value per farm is $3519.89, agricultural income is $2197.42. According to the result obtained from PAM, private profit of cotton production in Founia district was 58.97 $/ton social profit was 1017.38 $/ton. Within the scope of the research, Specific Cost Ratio (PCR) coefficients of 0.77 and Cost Ratio of Domestic Resources (DRC) of 0.19 obtained from PAM were found. However, according to the Nominal Protection Coefficient on Output (NPCO) (0.30), Nominal Protection Coefficient on Tradable Inputs (NPCI) (0.87) and Effective Protection Coefficient (EPC) (0.20) coefficients, it is seen that the cotton price is lower than the comparable world prices and the producer earns less profit from free trade. Therefore, in the short term, incentive premiums, direct financial support, protection of cotton prices, good communication with farms and extension policies should be implemented. The increase in yield with the introduction of irrigation systems will increase competitiveness.The government and the Compagnie Malienne pour le Développement des Textiles (CMDT) should assist in the leasing and long-term purchase of modern farm machinery, which is one of the fixed capitals, in order to increase productivity.

This study was conducted in the Aegean region conditions of Turkey in 2020. It was carried out on May-505, a local cotton variety. The study examined the variation of seed yield, water use efficiency (WUE), and irrigation water use efficiency (IWUE) of cotton with different irrigation programs and water levels. The field trial, which was designed as two factors and three replications, was designed according to the randomized complete block trial design. Four different irrigation levels (IL) (100%, 67%, 33%, and 0%) and two different irrigation scheduling approaches (gravimetric and pan evaporation) were investigated in the study. Seasonal water use values in treatments varied between 215 (0%) and 746 (100% - Pan evaporation approach) mm during the production period. The average yield values obtained with irrigation levels, which have essential effects on cotton seed yield, are listed as follows; 2057 kg ha-1 (IL-0%), 3471 kg ha-1 (IL-33%), 3771 kg ha-1 (IL-67%), and 5083 kg ha-1 (IL-100%). It was determined pan evaporation applications performed higher yields than gravimetric applications. WUE values were between 0.63 – 1.04 kg m-3. The gravimetric method’s yield response factor (ky) was 0.73, and the pan evaporation method’s yield response factor (ky) was 0.89. These results show that cotton is tolerant of water stress. In conclusion, although the pan evaporation approach with 100% treatment is suggested for cotton production in the parts of the Aegean region within the semi-arid climate zone, while water resources are sufficient. When the results are evaluated in terms of seed cotton yield for a deficit irrigation strategy, IL-67% treatment with a gravimetric approach can be used.

This study was conducted in the Aegean region conditions of Turkey in 2020. It was carried out on May-505, a local cotton variety. The study examined the variation of seed yield, water use efficiency (WUE), and irrigation water use efficiency (IWUE) of cotton with different irrigation programs and water levels. The field trial, which was designed as two factors and three replications, was designed according to the randomized complete block trial design. Four different irrigation levels (IL) (100%, 67%, 33%, and 0%) and two different irrigation scheduling approaches (gravimetric and pan evaporation) were investigated in the study. Seasonal water use values in treatments varied between 215 (0%) and 746 (100% - Pan evaporation approach) mm during the production period. The average yield values obtained with irrigation levels, which have essential effects on cotton seed yield, are listed as follows; 2057 kg ha-1 (IL-0%), 3471 kg ha-1 (IL-33%), 3771 kg ha-1 (IL-67%), and 5083 kg ha-1 (IL-100%). It was determined pan evaporation applications performed higher yields than gravimetric applications. WUE values were between 0.63 – 1.04 kg m-3. The gravimetric method’s yield response factor (ky) was 0.73, and the pan evaporation method’s yield response factor (ky) was 0.89. These results show that cotton is tolerant of water stress. In conclusion, although the pan evaporation approach with 100% treatment is suggested for cotton production in the parts of the Aegean region within the semi-arid climate zone, while water resources are sufficient. When the results are evaluated in terms of seed cotton yield for a deficit irrigation strategy, IL-67% treatment with a gravimetric approach can be used.

In this study carried out in 2015 under conditions of Kahramanmaraş province of Turkey, it was aimed at determining the effects of sawgin and rollergin methods on fiber quality in some cotton (Gossypium hirsutum L.) cultivars. In the study varieties of Lydia, Carisma, PG 2018, Flash, BA 440, BA 119 Maraş-92 and Erşan-92 were used as experimental materials. The trial was established according to factorial randomized block design with four replications. Seed cottons obtained from the trial were ginned in the rollergin and sawgin machines. In the obtained lint cotton samples, a number of fiber characteristics were determined by using HVI and AFIS fiber analysis devices. Ginnig outturn (38.6%), fiber length (30.21 mm), uniformity index (86.02%), fiber strength (31.76 g tex-1), spinning consistency index (SCI) (104.68) determined by using rollergin system were found higher than ones determined by using sawgin system (respectivelly 37.2%, 29.78 mm, 84.61%, 30.97 g tex-1, 94.50). Short fiber index (3.47%) and nep count (59.40 number g-1) obtained from rollergin system were found lower than ones obtained from sawgin system (respectivelly 4.38% and 119.34 number g-1). As a result it can be said that the rollergin method has positive effect on ginnig outturn, fiber length, uniformity index, fiber strength, spinning consistency index, short fiber index and nep count. When fiber length, fiber strength, spinning consistency index, nep size are considered together the best variety was Lydia cv. (respectivelly 30.87 mm, 32.56 g tex-1, 104.25, 675.63 μm). Ginning outturn, uniformity index, short fiber index, total particule number, dust particule number and trash count are considered together the best variety was Erşan-92 cv. (respectivelly 39.4%, 86.02%, 3.48%, 231.4 number g-1, 206.3 number g-1, 25.13 number g-1). For fiber fineness the best varieties were BA 119 and Maraş-92 cv. (respectivelly 4.78 mic. and 4.80 mic.).

The whitefly, Bemisia tabaci, damages various crops by releasing honeydew and spreading. Although farmers and pest control experts primarily rely on insecticides to manage whiteflies, the notable issue is their tendency to develop resistance to major insecticide categories, posing a significant challenge. This result has led to the improvement of new drugs or insecticide mixtures. In addition, some plant-based studies have been conducted to control whiteflies, and RNA interference (RNAi) technology has been used in recent years. This study aimed to identify the relationships between tobacco, cotton, tomato, and linen miRNAs and odorant-binding protein (OBP) and chemosensory protein (CSP) genes in whiteflies by using in silico approaches. We determined that 115 miRNAs belonging to these plants targeted 13 CSP and 8 OBP genes of B. tabaci. Obtaining findings are important to reduce dependency on chemicals and pesticides in pest management.

The whitefly, Bemisia tabaci, damages various crops by releasing honeydew and spreading. Although farmers and pest control experts primarily rely on insecticides to manage whiteflies, the notable issue is their tendency to develop resistance to major insecticide categories, posing a significant challenge. This result has led to the improvement of new drugs or insecticide mixtures. In addition, some plant-based studies have been conducted to control whiteflies, and RNA interference (RNAi) technology has been used in recent years. This study aimed to identify the relationships between tobacco, cotton, tomato, and linen miRNAs and odorant-binding protein (OBP) and chemosensory protein (CSP) genes in whiteflies by using in silico approaches. We determined that 115 miRNAs belonging to these plants targeted 13 CSP and 8 OBP genes of B. tabaci. Obtaining findings are important to reduce dependency on chemicals and pesticides in pest management.

In this study, conducted on the selection of the most suitable method of determining the available sulfur content of soils where cotton is grown in the Coastal Aegean Region of Türkiye, soil and leaf samples were taken from a total of 40 cotton plantations in five different locations in the Coastal Aegean Region and Gediz Basin. Various physical and chemical characteristics of the soil’s samples, which were taken from a depth of 0-30 cm, were determined, and the available sulfur contents were determined with the use of seven different extraction solutions. The extraction method or methods by which the highest correlation or correlations were obtained between the available sulfur content of the soils and leaf sulfur contents of the plants in the same plantation were assessed as the most suitable methods. According to the results of the study, the highest soil-leaf correlation was obtained by soil extraction with Ca(H2PO4)2 solution, followed, in order, by the NH4OAc, KH2PO4, cold water and NaCl methods. No significant correlation was found between the amounts of sulfur determined by extraction with CaCl2 and KCl solutions and leaf sulfur contents. It was concluded that the most suitable methods for the determination of available sulfur in the soils of the Aegean Coastal Region where cotton is grown were the extraction methods using Ca(H2PO4)2 and NH4OAc solutions.