Cotton Yield Research Articles

Planting for perfection: How to maximize cotton fiber quality with the right planting dates in the face of climate change

ContextCotton quality is as crucial as cotton quantity. Despite considerable efforts to enhance cotton yield, there has been limited focus on maximizing fiber quality. The temperature experienced from flowering to boll opening becomes the critical factor affecting fiber quality when cotton is cultivated under optimum water and nutrient conditions. This depends on the planting date for a specific location and cultivar. Therefore, fiber quality can be improved by optimizing the planting date for a specific geographic location and cultivar. ObjectiveThe study aims to develop a methodology for optimizing planting dates to maximize fiber quality, taking into account location-specific weather and cultivar details. MethodsA methodology is developed and demonstrated for the cotton belt in the USA. The methodology accounts for temperature, planting intervals, cotton varieties (early, mid, and late-season), and four major fiber quality indicators (fiber length, strength, micronaire, and uniformity). Based on the average of the last 15 years of weather data and different cotton cultivars, spatial maps depicting the best planting dates and associated fiber quality are analyzed for 765 cotton-growing counties in the USA. The study also explores variability in the optimum planting date and fiber quality with climate change in these counties. ResultsResults indicate that planting cotton at the optimum planting date can improve all fiber quality features. Fiber length can range from medium (25–29 mm) to long (30–34.5 mm), fiber strength from strong (29–30 g/tex) to very strong (>31 g/tex), micronaire from the discount range (≤3.4 and ≥5.0) to the base range (3.5–3.6 and 4.3–4.9), and uniformity can be high (>85). Applying the methodology with consideration of future climate projections shows a 19 % decline in micronaire - the most affected trait, followed by 8.4 % and 1.6 % decreases in length and uniformity, respectively. In contrast, fiber strength is expected to increase by 5 % in the future. ConclusionsResults indicate that optimizing the planting date with the developed methodology can enhance fiber quality. Additionally, the methodology can predict variations in fiber quality due to future climatic conditions. SignificanceThe developed methodology can be valuable for farmers and growers seeking to enhance fiber quality. It is standard and applicable to any location and cultivar. A similar approach can be adopted for other locations and crops, such as soybeans, rice, and wheat, to optimize their quality.

ANALYSING THE NEXUS OF WEATHER ON COTTON PRODUCTION IN SINDH PAKISTAN: USING ARDL BOUND TEST

Climate change is expected to have impacts on plants, crops, and insect pests, and pose substantial pressures to sustainable food security. This research investigates the impact of weather changes on the production of cotton crops in Sindh, Pakistan by analyzing both short-term and long-term effects. Hence by employing annual time-series data of 58 years from 1961 to 2018 to explore the causal relationship between climate variables and specifically cotton production. For this purpose the Augmented Dickey-Fuller (ADF) test was applied and was significantly stationary at 1st difference, ensuring robust econometric analysis. In addition to understanding the long-run and short-run effects, the Autoregressive Distributed Lag (ARDL) bounds test was applied. Short-term findings reveal that a 1% increase in logged annual cotton area (CA) leads to a 0.671% rise in cotton production (CP), and a similar 1% increment in logged annual rainfall in kharif (R) results in a 0.224% increase in cotton production. The long-term relationships between weather variables and cotton yields were confirmed through the Johansen cointegration test, suggesting persistent climate impacts over time. It is recommended that authorities identify and promote the cultivation of temperature variation-tolerant cotton varieties and enhance the focus on agricultural research and technological innovation. To support these initiatives, timely and farm-specific climate change information should be disseminated. Adoption of advanced, cost-effective agricultural technologies can significantly improve crop yields. These strategic responses are essential to mitigate the adverse effects of climate variability on agriculture in Sindh, ensuring sustainable cotton production and economic stability for cotton farming communities.

Heterosis and combining ability for phenological yield and fiber traits of cotton (Gossypium hirsutum L.) genotypes

The seeds of 4 lines, 3 testers, and their 12 F1 hybrids were sown in a randomized complete block design (RCBD) with 3 replications at Botanical Garden, Department of Plant Breeding and Genetics, Sindh Agriculture University, Tandojam during Kharif 2019. F1 hybrids were raised for the estimation of heterotic effects, GCA and SCA for days to 1st squaring, days to 1st boll formation Bolls opened at 90 days after sowing, Sympodial branches plant-1, Bolls plant-1, Boll weight (g), Seed cotton yield plant-1 (g), 100-seed weight (g), Ginning outturn (%) and staple length (mm). Genotypes, parents, crosses, parent's v/s crosses, lines, testers and line × testers were significant for days to 1st squaring and days to 1st boll forming. Bolls unveiled their fissures precisely 90 days post-sowing, while parameters including sympodial branches per plant, bolls per plant, individual boll weight, seed cotton yield per plant, 100-seed weight, ginning outturn, and staple length underwent meticulous evaluation. The statistical scrutiny unveiled the insignificance of both lines and testers concerning the 90-day boll dehiscence. Similarly, the parental influence on boll weight, 100-seed weight, and staple length exhibited a lack of statistical significance. Line CRIS-134, Sindh, and tester FH-901 gave a higher mean performance for all the traits. Among the hybrids, Mehran × FH-901, Sindh-1 × CIM-602, CRIS-134 × CIM-602, CRIS-342 × Koonj, and CRIS-342 × CIM-602 gave a desirable mean performance and heterotic effect for all the traits. CRIS-342 × Koonj produced maximum SCA effects for bolls per plant. Mehran × FH-901 recorded higher SCA effects for seed cotton yield plant-1 and 100-seed weight, CRIS-342 × CIM-602 for lint percentage, and CRIS-342 × FH-901 for staple length. It is suggested that these lines and testers should be utilized in the breeding program to improve these traits.

Optimization of Agrobacterium-mediated transformation conditions for efficient Bacillus thuringiensis (Bt) cotton transformation

Cotton is one of the world’s largest fiber-producing crops. It is also known as the important cash crop of Pakistan. Cotton crop products contribute to economy as cottonseed oil, animal feed and the fiber support the textile industries, thus, playing a significant role in uplifting the economy of a country. But over time, bollworm attacks had escalated, severely reducing the yield of cotton and damaging cotton production. Bt (Bacillus thuringiensis) cotton is being widely used nowadays due to its enhanced resistance against cotton bollworms which are responsible for reducing crop production leading to high economic loss. It greatly affects the economy by increasing the cost of production and protection. Using resistant strains of Bt cotton not only makes it easier to combat bollworm attacks but also reduces the substantial expense issues that farmers face. Bt has many toxic proteins among which the two crystal proteins, Cry1Ac and Cry2Ab, are used to develop resistance against bollworms in cotton. This study aimed to optimize the developing transgenic callus containing Cry1Ac and Cry2Ab genes in cotton. The dual gene construct (Cry1Ac + Cry2Ab) provides more resistance to the cotton crop as compared to the single gene construct against whom the most bollworms have developed resistance. The vector was inoculated into the hypocotyl segments and the transformation process was preceded by shifting the hypocotyls at different mediums Agrobacterium tumefaciens strain LBA4404 was used for cotton transformation. The construct-containing vector was introduced into a standard cotton line. A molecular confirmation test was carried out utilizing PCR and gene-specific primers after the formation of the transgenic callus. As a result of the research an indigenous cotton line that expresses double Bt genes for insect resistance was developed.

Warming effect of the desert regulates spatio-temporal distribution of cotton Verticillium wilt for the oasis agriculture ecosystem

Verticillium wilt (VW) is threatening global cotton yield and quality. However, the accurate spatio-temporal dynamics of cotton VW in large regions remain unclear, especially in the complicated oasis agriculture ecosystem. We explored the spatio-temporal distribution of VW in the cotton-dominated region of Northern Xinjiang characterized by a typical desert-oasis irrigation agriculture ecosystem, utilizing reconstructed high-resolution time series remote sensing data from 2019 to 2021. Results revealed that the area of VW-infected cotton remained consistently around 20 % each year. However, there were significant seasonal variations, with outbreaks peaking in August. Regarding the spatial pattern of cotton VW, the mean temperature (TMP) difference in irrigated cotton fields along the Gurbantunggut Desert-oasis gradient reaches a maximum of approximately 1 ℃ caused by warming effect of the desert on the oasis (WEDO) during the cotton growing period. This TMP difference drives the spatial pattern of cotton VW incidence characterized by a low-to-high-to-moderate trend. WEDO significantly suppresses the cotton VW incidence due to relatively higher TMP, forming the low-risk zone for cotton VW within 16 km near the Gurbantunggut Desert. Our study significantly enhances the understanding of the spatio-temporal dynamics of cotton VW in the distinctive oasis irrigation agricultural ecosystem and advances the accurate monitoring and assessment of cotton VW across large regions.

Improved physiological responses and stress tolerance in cotton against Fusarium wilt with Trichoderma harzianum treatment

Cotton is a vital cash crop in the agricultural economy. Many abiotic stresses and pathogenic diseases reduce cotton yield, with cotton wilt being a major threat caused by Fusarium oxysporum f.sp. vasinfectum (FOV). In the present study, the antagonistic potential of Trichoderma harzianum, along with its extracted volatile and non-volatile compounds, was evaluated against FOV. In a dual culture assay, T. harzianum showed 71.4% inhibition of FOV. The volatile compounds extracted from T. harzianum showed 54.9% inhibition of FOV, while the non-volatile compounds reduced the growth of F. oxysporum f.sp. vasinfectum by 64.21%. The evaluation of vegetative traits of cotton plants indicated increased biomass when treated with T. harzianum. The activity of antioxidant defense enzymes Catalase activity (CAT), Superoxide dismutase activity (SOD), and Peroxidase activity (POX) was highest in cotton plants treated with both T. harzianum and F. oxysporum f.sp. vasinfectum, indicating an activation of the plant defense mechanisms in response to these treatments. Protein content, Malondialdehyde Content (MDA), proline content, electrolyte leakage, and H2O2 content, which are stress markers, were at their maximum under F. oxysporum f.sp. vasinfectum stress. Physiological features, including stomatal conductance, photosynthesis rate, Soil Plant Analysis Development (SPAD) chlorophyll value, and relative water content, were highest in plants treated with T. harzianum, as T. harzianum improves and boosts plant growth. Hence, T. harzianum is an effective biological control agent against FOV.

Yield Decline and Resistance Development in Sucking Pests of Cotton in the Context of Unwise Spraying Techniques

Over 100 countries are producing cotton, which provides raw materials to the industry and employment opportunities for the people. Limiting the cost of production, conserving the ecosystem, and improving the cotton yield are key ingredients of sustainable cotton production. The inception of transgenic cotton (Bt varieties) improved yields, curtailed pesticide uses and promoted environmental safety. Over the years, Bt varieties of cotton have lost resistance against bollworms, and yield is declining. Unwise application of pesticides is associated with the development of resistance to sucking pests of cotton. The present review was conducted to undertake (i) the background of cotton production in the world, (ii) varietal development in cotton, (iii) problems (increasing susceptibility) in Bt varieties (iv) reliance on pesticides, and (v) myths of pesticides applications followed by pesticides knowledge among farmers. The cotton varieties which are resistant against sucking pests should be introduced. In addition, the promotion of biopesticides and fostering the adoption of Integrated Pest Management Approaches could be effective for the management of sucking pests. Farmers must be trained in site-specific and accurate spraying techniques by agricultural extension and plant protection departments. Accurate spraying techniques will not only improve pest control but also help in curtailing the environmental pollution being caused by the excessive use of pesticides in cotton.

Study on plant protection unmanned aerial vehicle spraying technology based on the thrips population activity patterns during the cotton flowering period.

Over the years, thrips have transitioned from a minor nuisance to a major problem, significantly impacting the yield and quality of cotton. Unmanned aerial vehicles (UAVs) for plant protection have emerged as an effective alternative to traditional pesticide spraying equipment. UAVs offer advantages such as avoiding crop damage and enhancing pesticide deposition on the plants and have become the primary choice for pesticide application in cotton fields. In this study, a 2-year field experiment found that the thrips population in a cotton field in Xinjiang, China, exhibited gradual growth during the early flowering phase, peaking in late July. The thrips population gradually shifted from the lower canopy to the upper canopy as the cotton flowers opened layer by layer. From 09:00 to 11:00 (GMT+8) and 19:00 to 21:00 (GMT+8), thrips mainly flew outside the flowers, while from 17:00 to 19:00 (GMT+8), they mostly inhabited the inner whorls of flowers. The insecticides 10% cyantraniliprole oil dispersion and 10% spinetoram suspension concentrate, sprayed by UAV, had the best control effect on thrips, with 80.51% and 79.22% control effect after 7 days of spraying, respectively. The optimal spraying time for 10% cyantraniliprole oil dispersion was 19:00 (GMT+8), and the control effect on thrips reached 91.16% at 7 days of spraying. During the cotton flowering period, thrips inhabited flowers in the evening and flew outside during the day. The best control effect on thrips was achieved with UAV-sprayed 10% cyantraniliprole oil dispersion at 19:00 (GMT+8).

Comprehensive assessment of combined inorganic and organic fertilization strategies on cotton cultivation: implications for sustainable agriculture.

The integration of inorganic and organic fertilizers is increasingly being recommended to address the demand for sustainable cotton cultivation and to mitigate the ecological impacts of reliance on inorganic fertilizers. However, the nuanced effects of this combined fertilization approach on soil quality, cotton growth, yield, and their interaction mechanisms, remain unclear. To elucidate this, a 2-year field trial (2022-2023) was conducted, incorporating five fertilization treatments: low inorganic fertilizer (BI1), high inorganic fertilizer (BI2), organic fertilizer (BO), combined low inorganic and organic fertilizer (BIO1), and combined high inorganic and organic fertilizer (BIO2). This study aimed to evaluate the influence of these treatments on soil quality, cotton growth, and yield. The results indicate that the BO treatment significantly enhanced plant height growth rate, and BIO1 treatment increased leaf area index and dry matter accumulation growth rate. Critical soil parameters such as alkali-hydrolyzed nitrogen and available potassium emerged as pivotal determinants of soil quality over the trial period, corresponding to soil quality index (SQI) values of 0.482 and 0.478, and yields of 7506.19 kg ha-1 and 6788.02 kg ha-1, respectively. Water productivity reached optimum levels at SQI values of 0.461 and 0.462, with corresponding efficiencies of 13.31 kg (ha mm)-1 and 12.16 kg (ha mm)-1. Partial least squares path modeling revealed that integrating organic fertilizer with reduced inorganic fertilizer usage significantly boosts cotton yield by enhancing soil quality (path coefficient: 0.842). In conclusion, this integrated fertilization strategy not only improves soil health but also increases agricultural productivity. It presents a promising approach for optimizing crop yields while fostering sustainable agricultural practices. © 2024 Society of Chemical Industry.

Exploring the plasmodesmata callose-binding protein gene family in upland cotton: unraveling insights for enhancing fiber length.

Plasmodesmata are transmembrane channels embedded within the cell wall that can facilitate the intercellular communication in plants. Plasmodesmata callose-binding (PDCB) protein that associates with the plasmodesmata contributes to cell wall extension. Given that the elongation of cotton fiber cells correlates with the dynamics of the cell wall, this protein can be related to the cotton fiber elongation. This study sought to identify PDCB family members within the Gossypium. hirsutum genome and to elucidate their expression profiles. A total of 45 distinct family members were observed through the identification and screening processes. The analysis of their physicochemical properties revealed the similarity in the amino acid composition and molecular weight across most members. The phylogenetic analysis facilitated the construction of an evolutionary tree, categorizing these members into five groups mainly distributed on 20 chromosomes. The fine mapping results facilitated a tissue-specific examination of group V, revealing that the expression level of GhPDCB9 peaked five days after flowering. The VIGS experiments resulted in a marked decrease in the gene expression level and a significant reduction in the mature fiber length, averaging a shortening of 1.43-4.77 mm. The results indicated that GhPDCB9 played a pivotal role in the cotton fiber development and served as a candidate for enhancing cotton yield.

Mitigating salinity stress and improving cotton productivity through integrative use of gypsum and compost amendments with exogenous proline

Abiotic constraints, such as salinity, significantly damage crop yields worldwide. Cotton, though moderately salt-tolerant, suffers from reduced growth and yield under saline-sodic soil conditions. Effective integrated mitigation strategies are crucial to address this challenge. Our study, conducted in Lodhran, Punjab, Pakistan, investigated six treatments using an integrated strategy such as gypsum, compost and exogenous proline combining effect in improving cotton productivity under salinity stress. We assessed plant growth, agronomic traits, physio-chemical parameters, cotton yield, and soil characteristics. Our experimental results showed that the combined application of amendments such as T5: gypsum + proline and T6: compost + proline gave better results as compared to individual treatments (T2, T3 & T4) over the control (T1). A significant improvement was observed in plant length and dry weights of shoot and root by 64 %, 81 % and 47 %, respectively under the effect of T5, also increased cotton yield up to 2 folds (888 kg) over control (324 kg ha−1). Likewise, significant improvement in the plant physio-chemical parameters was recorded such as high activities of antioxidant enzymes and the maximum accumulation of malondialdehyde (MDA) content by 60–71 %, as well as reduction in the oxidative burst by 55–65 % after the integrated treatments (T5 & T6) as compared to salt-stressed plants (control). Likewise, contents of nutrients are improved in plants viz., N: 70; P: 61 %; K: 33 % and Mg: 86 % under the positive effect of gypsum + proline over control. Results of soil analysis showed that the soil was moderately saline-sodic. Furthermore, soil analysis revealed that there was a significant improvement in NPK, S and Mg content in the soil after treated salt-stressed soil with gypsum and compost (T2, T3, T5 and T6) while a significant reduction was observed in Ca (17 %) and Na content (28 %), as well as EC (dSm−1) was decreased by 38 % and SAR (mmol/L)1/2 by 27 % under the effect of gypsum + proline over the control treatment. The outcomes of the current study reveal that the reclamation potential of gypsum and compost applied individually or together with exogenous proline improved plant growth, yield and plant defense system under salinity stress.

Genetic analysis of yield and fiber quality traits in cotton (Gossypium hirsutum L.) under full and deficit irrigation conditions using full diallel method

The aim of the study was to assess the genetic structure and quantitative heritability of cotton yield, yield components and fiber quality parameters under well-watered (100%) and deficit (50%) irrigation conditions using a complete full diallel cross method with six cotton genotypes. The F1 and F2 generations were obtained to study the effect of irrigation conditions on genotypic variation and maternal effects on the traits studied. Parental, F1 and F2 generations were growed under full and deficit irrigation conditions and selected agronomic and fiber quality traits were measured. The data were analysed using various methods, including Griffing Method I, Model I analysis of variance, full diallel table analysis of variance, Jinks-Hayman diallel hybrid analysis. The Jinks-Hayman analysis of variance showed that dominant effects were more important in the inheritance of all traits, as indicated by the negative value of the difference between the additive variance and the dominance variance (D-H1). In addition, the average degree of dominance (H1/D)1/2 was greater than 1, indicating the predominance of dominant gene action in inheritance. The study concluded that starting selection in the F5–F6 generation is appropriate for drought resistant cotton breeding studies. It also emphasised the importance of conducting drought resistant cotton breeding under drought conditions due to the differences in gene movement between well-watered irrigation and drought stress conditions. The study highlighted the importance of population selection, environmental factors, data collection and analysis interpretation in breeding studies. It suggested that the Griffing diallel analysis method is suitable for hybrid breeding studies, while the Jinks-Hayman type analysis method is suitable for studying the genetic structures of populations.

Regulation of a single inositol 1-phosphate synthase homeologue by HSFA6B contributes to fibre yield maintenance under drought conditions in upland cotton.

Drought stress substantially impacts crop physiology resulting in alteration of growth and productivity. Understanding the genetic and molecular crosstalk between stress responses and agronomically important traits such as fibre yield is particularly complicated in the allopolyploid species, upland cotton (Gossypium hirsutum), due to reduced sequence variability between A and D subgenomes. To better understand how drought stress impacts yield, the transcriptomes of 22 genetically and phenotypically diverse upland cotton accessions grown under well-watered and water-limited conditions in the Arizona low desert were sequenced. Gene co-expression analyses were performed, uncovering a group of stress response genes, in particular transcription factors GhDREB2A-A and GhHSFA6B-D, associated with improved yield under water-limited conditions in an ABA-independent manner. DNA affinity purification sequencing (DAP-seq), as well as public cistrome data from Arabidopsis, were used to identify targets of these two TFs. Among these targets were two lint yield-associated genes previously identified through genome-wide association studies (GWAS)-based approaches, GhABP-D and GhIPS1-A. Biochemical and phylogenetic approaches were used to determine that GhIPS1-A is positively regulated by GhHSFA6B-D, and that this regulatory mechanism is specific to Gossypium spp. containing the A (old world) genome. Finally, an SNP was identified within the GhHSFA6B-D binding site in GhIPS1-A that is positively associated with yield under water-limiting conditions. These data lay out a regulatory connection between abiotic stress and fibre yield in cotton that appears conserved in other systems such as Arabidopsis.

Irrigation termination has the potential to improve cotton yield and quality on different soil types

AbstractIrrigation termination timing is challenging for cotton producers in humid regions, especially for fields with varying soil types. A field experiment was conducted in Jackson, TN, to investigate the best cotton irrigation termination on different soil types. The water management treatments consisted of rainfed conditions (RF) and terminating irrigation 2 weeks before the first crack boll (ITBC1 and ITBC2), at the first crack boll (ITC1 and ITC2), and 2 weeks after the first cracked boll (ITAC1 and ITAC2). The irrigation rates consisted of normal irrigation (2) and increased irrigation (1) during the 2 weeks prior to irrigation termination. Irrigation treatments were implemented on three soils: a low, an intermediate, and a high available water‐holding capacity (AWHC) soil. In sandy soil, seed yield increased by 127% in 2015 with the ITAC1 treatment and by 313% in 2016 with the ITC1 treatment, compared to the control (RF). These treatments were also found to be optimal for lint yield and irrigation water productivity in their respective years. The high AWHC soil did not require any irrigation in either growing season to optimize yield. In fact, irrigating at a high rate at every termination date caused yield loss in 2015. These results indicate that cotton can benefit from later termination and higher irrigation rates when soil water and rainfall are low at the end of the growing season or be harmed when the opposite is true.

Elevation map-based variable rate poultry litter application is a promising method in cotton production

Variable rate poultry litter (PL) application can potentially increase cotton yield and reduce environmental degradation risks associated with excess applications. The objective of this study was to determine whether applying PL in an inherently variable cotton field as variable-rate based on soil organic matter (SOM, VRo) or elevation (VRe) maps leads to greater yield and production efficiency than applying by the traditional uniform rate (UR). Poultry litter was applied by varying the rate within ±20 % of the target rates (7.9–11.2 Mg ha−1) where the highest elevation or lowest SOM regions received the highest rate, and the lowest elevation or highest SOM regions received the lowest rate. A treatment fertilized with conventional synthetic fertilizers served as the standard control (Std). Cotton fertilized with PL, regardless of the application method, provided greater K, S, and P nutrition and increased lint yield by as much as 30 % relative to the Std treatment. Applying the PL by the VRe method increased the production efficiency (yield per unit applied PL) by nearly 13 % over the UR. The VRo treatment resulted in a yield reduction of up to 11.8 % but the production efficiency was 14.2 % greater than the UR treatment. Variable rate application based on SOM was not as effective as that based on elevation. The results overall show that PL was superior to synthetic fertilizers in this soil and this superiority could further be enhanced by applying the PL as variable rate based on elevation maps.

Short‐Term Soil Waterlogging Improves Cotton Tolerance to High Temperature by Triggering Antioxidant Defence System in Cotton Seedlings

ABSTRACTSoil waterlogging and high temperature (HT) are serious abiotic stresses that negatively affect cotton growth and yield. Yet effects of prewaterlogging to HT subsequently in cotton seedlings have not been obtained. To address this, two temperature conditions (30/20°C and 35/25°C) and two soil waterlogging levels (0 and 3 days) were established during the cotton seedling stage. Results showed that indexes of plant performance were decreased markedly under HT. Unexpectedly, plant performance for the treatment of HT combined with 3 days of soil waterlogging (HW) was better than HT treatment (specifically, increase of 7.9%, 9.0%, 10.2%, 5.4% and 4.6% in leaf area, plant height, belowground biomass, aboveground biomass and root‐to‐shoot ratio was detected). Decreases in MDA (malondialdehyde), H2O2 (hydrogen peroxide) contents and (superoxide radicals) generation rate under HW treatment were observed by 14.1%, 7.7% and 14.1%, respectively, compared with HT. Moreover, ASA (ascorbic acid) content and DHAR (dehydroascorbate reductase) activity were improved by 19.7% and 13.8% for HW treatment relative to HT, however, the opposite situation for activities of APX (ascorbate peroxidase) and GR (glutathione reductase). Besides, activities of SOD (superoxide dismutase), CAT (catalase) and POD (peroxidase) in HW treatment were increased by 16.7%, 8.3% and 18.4%, separately. Thus, we concluded that short‐term soil waterlogging improved cotton cross‐tolerance to the continued high‐HT stress by enhanced SOD, CAT, POD and DHAR activities, increased ASA content in cotton seedlings. These results were expected to provide a theoretical basis for understanding cotton's cross‐tolerance to abiotic stress.

Evaluating Water Stress Adaptation in Cotton: Multivariate Analysis in F6–F7 Generations for Yield, Fibre Quality and Variety Selection

AbstractThe impact of drought stress on productivity of cotton (Gossypium hirsutum L.) is a well‐known challenge in agricultural production, and concurrently, the question of whether using the same or different selection criteria in well‐watered and water‐deficit conditions to select drought‐tolerant cotton varieties remains unclear. This study aimed to comprehensively assess the single plant progeny lines within the F6 and F7 generations for determine response to DS and select the tolerant lines within the F7 generation. Single plant progeny rows were established, with the deficit water condition comprising 108 and 136 single plants for the F6 and F7 generations, respectively, and the WW condition consisting of 120 and 156 single plants for the F6 and F7 generations, respectively, with four blocks in Augmented experimental design. These progeny rows have length of 12 m, incorporate five control varieties (Karizma, Gloria, Carla, Candia and Claudia) to facilitate a comprehensive comparison. The study findings showed that fibre length, boll number and lint percentage were identified as the most crucial selection criteria under both WW and deficit irrigation conditions through principal component analysis. These indicators are highly beneficial for evaluating cotton's drought tolerance and screening potential drought‐tolerant lines under both irrigation scenarios. According to the decision tree analysis, FL and BN have emerged as the most critical decision‐making parameter in both irrigation conditions. Furthermore, the analysis revealed that each selection criterion has different impact in the comprehensive selection process. Also, as a result of all statistical analysis results and breeder observations, a total of 10 cotton lines were selected in the F7 generation. These selected genotypes hold promise for future cotton breeding programmes, providing an avenue to enhance drought tolerance and elevate cotton yield and productivity.Clinical Trial Registration: This study does not involve a clinical trial, and therefore, clinical trial registration is not applicable.

Performance of drip fertigation and foliar nutrition on cotton-black gram sequence in subtropics

Field experiments were conducted over two seasons to study the effect of drip fertigation levels and foliar nutrition on the growth and yield of cotton-black gram cropping sequences. The treatments comprised three levels of fertigation viz., 50, 75, and 100% recommended dose of fertilizers (RDF) and nitrogen, phosphorus, and potassium (NPK), combined with and without two levels of foliar spray, drip irrigation with soil surface application of 100% RDF, and surface irrigation with soil surface application of 100% RDF as a control. Drip-irrigated cotton and black gram registered higher yields during both seasons as compared to the surface methods of irrigation. Application of 100% RDF as drip fertigation combined with a foliar spray of 1% urea phosphate registered the highest seed cotton yield of 3598 kg ha−1 and black gram grain yield of 856 kg ha−1, which was significantly superior over the control. Application of nutrients through drip fertigation improved seed cotton yield by 45.2% and blackgram grain yield by 49.8% compared with conventional surface irrigation with soil application of fertilizers. From the results, it could be concluded that drip fertigation at 100% RDF with foliar spray of 1% urea phosphate can be recommended for higher productivity in the cotton-black gram cropping sequence.

Climate-Informed Management of Irrigated Cotton in Western Kansas to Reduce Groundwater Withdrawals

The Ogallala aquifer, underlying eight states from South Dakota to Texas, is practically non-recharging south of Nebraska, and groundwater withdrawals for irrigation have lowered the aquifer in western Kansas. Subsequent well-yield declines encourage deficit irrigation, greater reliance on precipitation, and producing profitable drought-tolerant crops like upland cotton (Gossypium hirsutum (L.)). Our objective was to evaluate deficit irrigated cotton growth, yield, and water productivity (CWP) in northwest, west-central, and southwest Kansas in relation to El Niño southern oscillation (ENSO) phase effects on precipitation and growing season cumulative thermal energy (CGDD). Using the GOSSYM crop growth simulator with actual 1961–2000 location weather records partitioned by the ENSO phase, we modeled crop growth, yield, and evapotranspiration (ET) for irrigation capacities of 2.5, 3.75, and 5.0 mmd−1 and periods of 4, 6, and 8 weeks. Regardless of location, the ENSO phase did not influence CGDD, but precipitation and lint yield decreased significantly in southwest Kansas during La Niña compared with the Neutral and El Niño phases. Simulated lint yields, ET, CWP, and leaf area index (LAI) increased with increasing irrigation capacity despite application duration. Southwestern Kansas producers may use ENSO phase information with deficit irrigation to reduce groundwater withdrawals while preserving desirable cotton yields.

A phenomenological inquiry into farmers’ experiences growing cotton in Punjab, Pakistan

Sustainability in cotton production is inevitable because producing more cotton means more employment, economic acceleration, and industrial expansion. India, China, the United States, Brazil, and Pakistan contribute 74% of worldwide cotton production. Pakistan is contributing only 5%, despite the high potential of cotton. The average yield of cotton in Pakistan is stagnant at 570.99 kg hm−2, whereas it entails the highest cost of production among all other crops. The yield obtained in Pakistan is less than the potential, profitability is drastically lessening, and farmers are abandoning cotton for alternative kharif crops. Some traditional quantitative studies have unveiled different factors that affect cotton production. However, an in-depth qualitative study has never been conducted in Pakistan to explore the root causes of growing cotton crop failure. Following Moustakas’s traditional phenomenological guidelines, this phenomenological study was conducted in the district of Rahim Yar Khan in the core cotton zone of Punjab province. A total of 10 interviews were conducted with purposively selected cotton growers based on a criterion: (i) having more than 10 years of cotton growing experience, (ii) being a cotton grower, and (iii) having at least 10 years of formal schooling. Interviews were conducted face to face on an interview guide. One interview lasted 45–50 min, and responses were recorded and analyzed using a thematic analysis approach. A total of 6 themes emerged from the collected data, including (i) climate change, (ii) varietal problems, (iii) pesticide usage, (iv) sense of institutional services, (v) attitude of farmers and (vi) soil health and environment. These six merging themes contributed to cotton crop failure and yield decline. The deep exploration further summarized that researchers, extensionists, and farmers need to seriously consider variety, sowing time, and the environment to revive cotton crops. The detailed recommendations and policy guidelines are presented in this paper, highlighting the cotton sector’s research, development and investment areas.