Information about the effects of phenotype traits on cottonseed protein, oil, and nutrients is scarce. The objective of this research was to investigate the effects of leaf color trait on seed nutrition in near-isogen...Information about the effects of phenotype traits on cottonseed protein, oil, and nutrients is scarce. The objective of this research was to investigate the effects of leaf color trait on seed nutrition in near-isogenic Gossypium hirsutum cotton expressing green (G) and yellow (Y) leaf color phenotypes. Our hypothesis was that leaf color can influence the accumulation of nutrients in seeds. Sets of isogenic lines were: DES 119 (G) and DES 119 (Y);DP 5690 (G) and DP 5690 (Y);MD 51ne (G) and MD 51ne (Y);SG 747 (G) and SG 747 (Y). Each NIL set is 98.44 % identical. Parent line SA 30 (P) was used as the control. The experiment was repeated for two years (2014 and 2015). The results showed that, in 2014, seed oil in DES 119 (G) and SG 747 (G) were significantly higher than their equivalent yellow lines. Green lines showed higher content of phosphorus compared with yellow lines. Higher levels of Cu, Fe, Mn, Ni, and Zn were recorded in DES 119 (G) and MD 51ne (G). In 2015, seed protein, oil, C, N, P, B, Cu, and Fe were higher in green lines than in yellow lines. There was a significant correlation between protein and nutrients, and between oil and nutrients in 2015, but not in 2014 as the temperature was warmer in 2015 than in 2014. This research demonstrated that leaf color can alter seed composition and mineral nutrition under certain environmental growing conditions such as temperature.展开更多
As the main byproduct of cotton fiber,the cotton seed yields about 1.6 times that of fiber,with its oil rich in unsaturated fatty acids,mainly linoleic acid.It is desirable for breeders to increase the oil content of ...As the main byproduct of cotton fiber,the cotton seed yields about 1.6 times that of fiber,with its oil rich in unsaturated fatty acids,mainly linoleic acid.It is desirable for breeders to increase the oil content of cottonseed without affecting the yield and quality of cotton fiber.In this study,a seed-specific promoter-(alpha-globulin gene promoter-)driven GhDGAT1 overexpression vector(P_(aGlob)-GhDGAT1)was constructed and used to transform an upland cotton line YZ1(Gossypium hirsutum).Overexpression of the cotton gene GhDGAT1 in cotton seeds increased its total oil content from 4.7%to 13.9%in different transgenic lines and different generations.With the increase of oil content,the composition and contents of the main fatty acids in cotton seed also changed,as reflected by the contents of the main saturated fatty acids and unsaturated oleic acid.GhDGAT1 could be used to increase oil content and improve oil composition in cottonseed.展开更多
The traditional method to refine crude cottonseed oil is time-consuming and expensive.This study evaluates the effectiveness of coagulation–flocculation–sedimentation process using quaternary polyamine-based polymer...The traditional method to refine crude cottonseed oil is time-consuming and expensive.This study evaluates the effectiveness of coagulation–flocculation–sedimentation process using quaternary polyamine-based polymers in refining crude cottonseed oil.Flocculated by four commercial polyamine-based cationic polymers(SL2700,SL3000,SL4500 and SL5000)with varied molecular weight(MW)and charge density(CD)and followed by coagulation with sodium hydroxide,crude cottonseed oil can be effectively purified.Free fatty acids,gossypol,pigments and trace elements are all effectively and sufficiently removed by the four polymers in a MW-and CDdependent manner.Our results suggest that the use of polyamine-based cationic polymers may offer an effective and feasible alternative to the traditional method for crude cottonseed oil refining.展开更多
Background: The diversified and high value-added utilization of cotton by products can promote the sustainable development of modern agriculture. Di erences in potential nutrients among varieties can be explained by v...Background: The diversified and high value-added utilization of cotton by products can promote the sustainable development of modern agriculture. Di erences in potential nutrients among varieties can be explained by variations in the composition and abundance of fatty acids, polyphenols, carbohydrates, amino acids, and organic acids. Therefore, the analysis of metabolite species and relationships in cottonseed is meaningful for the development of cotton byproducts.Results: In this study, the metabolomes of three representative cotton cultivars of di erent species were compared using untargeted GC-TOF/MS analysis. A total of 263 metabolites were identified from 705 peaks, and their levels were compared across cultivars. Principal component analysis and OPLS-DA clearly distinguish these samples based on metabolites. There were significant di erences in the contents of amino acids, carbohydrates, organic acids, flavonoids, and lipids in G. hirsutum TM-1 compared with G. arboreum Shixiya1 and G. barbadense Hai7124. Notably, the bioactive nutrient compound catechin obtained from the di erential metabolites significantly accumulated in TM-1. Furthermore, a comprehensive analysis using catechin and oil-related traits was conducted in core collections of Gossypium hirsutum. The results revealed the reliability of the GC-TOF/MS analysis, as well as that catechin content has a negative association with myristic acid, palmitic acid, stearic acid, oleic acid, linoleic acid, arachidic acid, and total fatty acids.Conclusion: These findings suggest that untargeted GC-TOF/MS analysis could provide a new method for investigating the underlying plant biochemistry of nutrient variation in cottonseed, and that catechin content has a negative association with oil-related traits in cottonseed. This study may pave the way to exploit the value of cotton byproducts.展开更多
Background:Naturally-colored cotton has become increasingly popular because of their natural properties of coloration,UV protection,flame retardant,antibacterial activity and mildew resistance.But poor fiber quality a...Background:Naturally-colored cotton has become increasingly popular because of their natural properties of coloration,UV protection,flame retardant,antibacterial activity and mildew resistance.But poor fiber quality and limited color choices are two key issues that have restricted the cultivation of naturally-colored cotton.To identify the possible pathways participating in fiber pigmentation in naturally-colored cottons,five colored cotton accessions in three different color types(with green,brown and white fiber)were chosen for a comprehensive analysis of phenylpropanoid metabolism during fiber development.Results:The expression levels of flavonoid biosynthesis pathway genes in brown cotton fibers were significantly higher than those in white and green cotton fibers.Total flavonoids and proanthocyanidin were higher in brown cotton fibers relative to those in white and green cotton fibers,which suggested that the flavonoid biosynthesis pathway might not participate in the pigmentation of green cotton fibers.Further expression analysis indicated that the genes encoding enzymes for the synthesis of caffeic acid derivatives,lignin and lignan were activated in the developing fibers of the green cotton at 10 and 15 days post-anthesis.Conclusions:Our results strengthen the understanding of phenylpropanoid metabolism and pigmentation in green and brown cotton fibers,and may improve the breeding of naturally-colored cottons.展开更多
Thirty-six Chinese cottons were investigated for their physical properties using ASTM stand-ard test methods. Conventional methods using stelometer, fibrograph, and micronaireinstrumentation provided physical properti...Thirty-six Chinese cottons were investigated for their physical properties using ASTM stand-ard test methods. Conventional methods using stelometer, fibrograph, and micronaireinstrumentation provided physical properties of tenacity, elongation, length, and fineness. Varietaland regional variations were examined. The Chinese cottons were compared with upland varietiesof American cottons grown across the country. In general, American cottons were stronger, butperhaps a little shorter than Chinese cottons. American cottons were no more mature on the aver-age, and they had lower elongations than did the Chinese cottons. The American cottons alsotended toward higher length uniformity than those varieties grown in China. High yarn strengthwas strongly favored by American cottons.展开更多
Structures and characteristics of naturally coloured cottons grown in China were analyzed. Breaking strength of yarns made of pure coloured cotton and coloured cotton fibres blended with other fibres were investigated...Structures and characteristics of naturally coloured cottons grown in China were analyzed. Breaking strength of yarns made of pure coloured cotton and coloured cotton fibres blended with other fibres were investigated. Colour fastness of the coloured cotton goods was tested. Suggestions for using the coloured cotton practically and effectively were also included.展开更多
India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without ext...India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without extension,marks a return to the previous tariff framework-a policy shift expected to raise costs for the domestic textile industry and potentially trigger ripple effects across global cotton trade.展开更多
Carotenoids are lipophilic isoprenoid pigments with essential roles in plants.While the cultivated allotetraploid cottons exhibit distinct mature anther coloration—yellow in Gossypium barbadense versus predominantly ...Carotenoids are lipophilic isoprenoid pigments with essential roles in plants.While the cultivated allotetraploid cottons exhibit distinct mature anther coloration—yellow in Gossypium barbadense versus predominantly white in G.hirsutum—the genetic basis of this divergence remains unclear.The purpose of this study was to identify the genetic basis of anther-color variation in cotton(Gossypium)species.We firstly identified carotenoids as the primary pigments underlying yellow-anthers coloration.Comparative transcriptomics of anthers revealed that the carotenoid biosynthesis gene GbPSY4 was expressed as a key regulator in G.barbadense.Functional validation via tissue-specific expression,subcellular localization,in vivo enzymatic assays,and virus-induced gene silencing confirmed its role in carotenoid biosynthesis and yellow pigmentation.Genome-wide association studies in a G.hirsutum population revealed GhPSY4_At,an ortholog of GbPSY4,as the causal gene of anther-color variation.We conclude that PSY4-regulated carotenoid biosynthesis governs yellow pigmentation.Furthermore,a finding that G.hirsutum accessions with yellow anthers showed greater pollen viability under high-temperature stress than those with white anthers suggests that the same pathway that governs yellow pigmentation influences heat tolerance.PSY4 is a promising target for breeding stress-tolerant cotton varieties.展开更多
Recent studies have shown that lipid metabolism is a key factor affecting anther development and male fertility.However,how plants regulating the metabolic balance of multiple lipids to ensure proper anther developmen...Recent studies have shown that lipid metabolism is a key factor affecting anther development and male fertility.However,how plants regulating the metabolic balance of multiple lipids to ensure proper anther development and male fertility remains unclear.Analyzing lipid molecules related to anther fertility and genes responsible for their biosynthesis is crucial for understanding the physiological significance of lipid metabolism in crop fertility.In this study,we compared the transcriptome and the composition and content of lipids in anthers of two upland cotton(Gossypium hirsutum) materials,Shida 98(WT) and its nearly-isogenic male sterile line Shida 98A(MS).Transcriptomics analysis identified many differentially expressed genes(DEGs) between the two materials,with the genes of the alpha-linolenic acid metabolism pathway being the most significantly associated with the male sterility phenotype.Investigations on lipids revealed that the MS anthers over-accumulated free fatty acids(FFAs),phosphatidic acid(PA),mono-and di-galactosyldiacylglycerol(MGDG and DGDG),and had a decreased content of triacylglycerol(TAG),which was closely related to the abnormal metabolism of alpha-linolenic acid(C18:3);therefore,the major lipids containing C18:3-acyl chains,such as PA,MGDG,DGDG,and TAG,are proposed to play a major role in cotton anther development.We also showed that an excessive level of MGDG and DGDG caused jasmonic acid(JA) overaccumulation in MS anthers,which in turn inhibited the expression of GhFAD3 and consequently reduced the C18:3 content,presumably via a feedback regulation mechanism,ultimately affecting plant fertility.Together,our results revealed the importance of a balanced lipid metabolism in regulating the development of cotton anther and pollen and consequently male fertility.展开更多
Natural colored cotton(NCC)offers a sustainable,dye-free,and eco-friendly alternative for producing colored textiles.Carotenoids,a group of important natural liposoluble pigments,are known for their diverse color spec...Natural colored cotton(NCC)offers a sustainable,dye-free,and eco-friendly alternative for producing colored textiles.Carotenoids,a group of important natural liposoluble pigments,are known for their diverse color spectrum.In this study,we successfully engineered the carotenoid biosynthesis pathway specifically in cotton fibers by utilizing a fiber-specific GbEXPA2 promoter and a CaMV 35S promoter to drive the expression of two key carotenoid biosynthesis genes,CrtB and CrtI,respectively.This approach resulted in the development of a golden fiber cotton germplasm enriched withβ-carotene.Notably,the pigmentation was predominantly observed during the early developmental stages of the fiber(5–20 d post-anthesis).While the presence of carotenoids had no significant effect on plant architecture and growth,it positively influenced the fiber elongation rate,albeit with a slight reduction in fiber length and strength.This study represents a pioneering strategy for the future development of NCCs through carotenoid biofortification.展开更多
In the Tianshan region,a complete textile industry chain has been established,covering the entire process from cotton cultivation and chemical fiber production,through spinning,weaving,dyeing,and finishing,and further...In the Tianshan region,a complete textile industry chain has been established,covering the entire process from cotton cultivation and chemical fiber production,through spinning,weaving,dyeing,and finishing,and further extending to apparel,home textiles,and industrial textiles.In November 2025,the first list of five characteristic textile and apparel industry clusters in Xinjiang was officially announced,marking a new stage in the clustering of Xinjiang's textile and apparel industry.Data shows that the total output value of Xinjiang's cotton and textile and apparel industry chain has exceeded 220 billion yuan.With the nation's largest cotton production,a complete industrial chain system,and strong synergistic effects,Xinjiang has become a leading and highly competitive textile industry hub in China.展开更多
Elevated CO_(2)(eCO_(2))may mitigate stress-induced damage to cotton(Gossypium spp.)growth and development.However,understanding the early-stage responses of cotton to multiple abiotic stressors at eCO_(2)levels has b...Elevated CO_(2)(eCO_(2))may mitigate stress-induced damage to cotton(Gossypium spp.)growth and development.However,understanding the early-stage responses of cotton to multiple abiotic stressors at eCO_(2)levels has been limited.This study quantified the impacts of chilling(CS,22/14℃,day/night temperature),heat(HS,38/30℃),drought(DS,50%irrigation of the control),and salt(SS,8 d S m-1)stresses on pigments,physiology,growth,and development of 14 upland cotton cultivars under ambient CO_(2)(aCO_(2),420 ppm;current)and eCO_(2)(700 ppm;future)levels during the vegetative stage.The eCO_(2)partially negated the effects of all stresses by improving one or more of the pigments,physiological,growth,and development traits,except CS.For instance,HS at aCO_(2)significantly increased stomatal conductance by 36%compared with non-stressed plants at aCO_(2).However,HS at eCO_(2)significantly decreased stomatal conductance by 18%compared with HS at aCO_(2).The first squaring was delayed by one day under SS at aCO_(2)but two days earlier under SS at eCO_(2)than non-stressed plants at aCO_(2).Root and shoot dry mass and the total leaf area were significantly higher under all stresses,except for CS,at the eCO_(2)compared with similar stresses at the aCO_(2).Most growth and development traits,including plant height,leaf area,and shoot dry mass,displayed a mirroring response pattern between aCO_(2)and eCO_(2)under all environments except CS.Cultivars exhibited significant interaction with stressed environments.Further,results revealed differential sensitivity and adaptation potential of cultivars to stress environments at varying CO_(2)levels.This study highlights the need to consider eCO_(2)in designing breeding programs to develop stress-tolerant varieties for future cotton-growing environments.展开更多
Cotton is an important global cash crops that serve as the primary source of natural fiber for textiles.A thorough understand-ing of the long-term variations in cotton cultivation is vital for optimizing cotton cultiv...Cotton is an important global cash crops that serve as the primary source of natural fiber for textiles.A thorough understand-ing of the long-term variations in cotton cultivation is vital for optimizing cotton cultivation management and promoting the sustainable development of the cotton industry.Xinjiang is the primary cotton-producing region in China.However,long-term data of cotton cultiv-ation areas with high spatial resolution are unavailable for Xinjiang,China.Therefore,this study aimed to identify and map an accurate 30-m cotton cultivation area dataset in Xinjiang from 2000 to 2020 by applying a Random Forest(RF)-based method that integrates Landsat and Moderate Resolution Imaging Spectroradiometer(MODIS)images,and validated the applicability and accuracy of dataset at a large spatial scale.Then,this study analyzed the spatiotemporal variations and influencing factors of cotton cultivation in the study period.The results showed that a high classification accuracy was achieved(overall accuracy>85%,F1>0.80),strongly agreeing with county-level agricultural statistical yearbook data(R2>0.72).Significant spatiotemporal variation in the cotton cultivation areas was found in Xinjiang,with a total increase of 1131.26 kha from 2000 to 2020.Notably,cotton cultivation area in southern Xinjiang expan-ded substantially,with that in Aksu increasing from 20.10%in 2000 to 28.17%in 2020,representing an expansion of 374.29 kha.In northern Xinjiang,the cotton areas in the Tacheng region also exhibited significant increased by almost ten percentage points in the same period.In contrast,cotton cultivation in eastern Xinjiang declined,decreasing from 2.22%in 2000 to merely 0.24%in 2020.Standard deviation ellipse analysis revealed a‘northeast-southwest’spatial distribution,with the centroid consistently located in Aksu and shifting 102.96 km over the 20-yr period.Pearson correlation analysis indicated that socioeconomic factors had a stronger influence on cotton cultivation than climatic factors,with effective irrigation area(r=0.963,P<0.05)and total agricultural machinery power(r=0.823)showing significant positive correlations,whereas climatic variables exhibiting weak associations(r<0.200).These results provide valuable scientific data for informed agricultural management,sustainable development,and policymaking.展开更多
Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled ...Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled model inter-comparison project phase six(CMIP6)climatic patterns under the shared socioeconomic pathways SSP2-4.5 and SSP5-8.5.The DSSAT-CROPGROCotton model,along with stepwise multiple regression analyses,was used to simulate changes in the potential yield of seed cotton due to climate change.The results show that while future temperatures in the Tarim River Basin will rise significantly,changes in precipitation and radiation during the cotton-growing season are minimal.Seed cotton yields are more sensitive to low temperatures than to precipitation and radiation.The potential yield of seed cotton under the SSP2-4.5 scenario would increase by 14.8%,23.7%,29.0%,and 29.4%in the 2030S,2050S,2070S,and 2090S,respectively.In contrast,under the SSP5-8.5 scenario,the potential yield of seed cotton would see increases of 17.5%,27.1%,30.1%,and 22.6%,respectively.Except for the 2090s under the SSP5-8.5 scenario,future seed cotton production can withstand a 10%to 20%deficit in irrigation.These findings will help develop climate change adaptation strategies for cotton cultivation.展开更多
Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.W...Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.We discovered more than 235 million clean reads and 1,184 differentially expressed genes(DEGs).Consecutively,we conducted a weighted gene co-expression network analysis and found a strong correlation between white and yellow modules containing GhTPS(GH_D09G0090)and GhCYP(GH_D05G2016)hub genes with the gossypol content.Importance of the GhTPS and GhCYP genes was demonstrated using RT-qPCR,virusinduced gene silencing(VIGS),and target metabolite analysis.Silencing these genes resulted in fewer glands on both leaves and stems two weeks after the infection compared to the wild type.In addition,152 metabolites were identified through targeted metabolite profiling.Differential metabolite screening revealed 12 and 18 significantly different metabolites in TRV:GhTPS and TRV:GhCYP plants vs.the control group,respectively,showing a reduction in the accumulation of metabolites compared to the control.Content of hemigossypol,the final product of gossypol biosynthesis,was also reduced,as revealed by target metabolite analysis,suggesting the role of these genes in the gossypol biosynthetic pathway.Furthermore,a highly significant difference in gossypol content between the glanded and glandless lines was recorded.Findings of this study reveal a strong link between the gossypol content and GhTPS and GhCYP hub genes,suggesting their role in the gossypol biosynthetic pathway to reduce the accumulation of hemigossypol,which may offer new comprehension into the regulatory checkpoints of the gossypol biosynthesis pathway in cotton.展开更多
Background Cotton crop is infested by numerous arthropod pests from sowing to harvesting,causing substantial direct and indirect yield losses.Knowledge of seasonal population trends and the relative occurrence of pest...Background Cotton crop is infested by numerous arthropod pests from sowing to harvesting,causing substantial direct and indirect yield losses.Knowledge of seasonal population trends and the relative occurrence of pests and their natural enemies is required to minimize the pest population and yield losses.In the current study,analysis of the seasonal population trend of pests and natural enemies and their relative occurrence on cultivars of three cotton species in Central India has been carried out.Results A higher number and diversity of sucking pests were observed during the vegetative cotton growth stage(60 days after sowing),declining as the crop matured.With the exception of cotton jassid(Amrasca biguttula biguttula Ishida),which caused significant crop damage mainly from August to September;populations of other sucking insects seldom reached economic threshold levels(ETL)throughout the studied period.The bollworm complex populations were minimal,except for the pink bollworm(Pectinophora gossypiella Saunders),which re-emerged as a menace to cotton crops during the cotton cropping season 2017–2018 due to resistance development against Bt-cotton.A reasonably good number of predatory arthropods,including coccinellids,lacewings,and spiders,were found actively preying on the arthropod pest complex of the cotton crop during the early vegetative growth stage.Linear regression indicates a significant relationship between green boll infestations and pink bollworm moths in pheromone traps.Multiple linear regression analyse showed mean weekly weather at one-or two-week lag periods had a significant impact on sucking pest population(cotton aphid,cotton jassid,cotton whitefly,and onion thrips)fluctuation.Gossypium hirsutum cultivars RCH 2 and DCH 32,and G.barbadense cultivar Suvin were found susceptible to cotton jassid and onion thrips.Phule Dhanvantary,an G.arboreum cotton cultivar,demonstrated the highest tolerance among all evaluated cultivars against all sucking pests.Conclusion These findings have important implications for pest management in cotton crops.Susceptible cultivars warrant more attention for plant protection measures,making them more input-intensive.The choice of appropriate cultivars can help minimize input costs,thereby increasing net returns for cotton farmers.展开更多
The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textile...The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textiles.By fusing band combination optimization with deep learning,this study aims to achieve more efficient and accurate detection of film impurities in seed cotton on the production line.By applying hyperspectral imaging and a one-dimensional deep learning algorithm,we detect and classify impurities in seed cotton after harvest.The main categories detected include pure cotton,conveyor belt,film covering seed cotton,and film adhered to the conveyor belt.The proposed method achieves an impurity detection rate of 99.698%.To further ensure the feasibility and practical application potential of this strategy,we compare our results against existing mainstream methods.In addition,the model shows excellent recognition performance on pseudo-color images of real samples.With a processing time of 11.764μs per pixel from experimental data,it shows a much improved speed requirement while maintaining the accuracy of real production lines.This strategy provides an accurate and efficient method for removing impurities during cotton processing.展开更多
Machine picking in cotton is an emerging practice in India,to solve the problems of labour shortages and production costs increasing.Cotton production has been declining in recent years;however,the high density planti...Machine picking in cotton is an emerging practice in India,to solve the problems of labour shortages and production costs increasing.Cotton production has been declining in recent years;however,the high density planting system(HDPS)offers a viable method to enhance productivity by increasing plant populations per unit area,optimizing resource utilization,and facilitating machine picking.Cotton is an indeterminate plant that produce excessive vegeta-tive growth in favorable soil fertility and moisture conditions,which posing challenges for efficient machine picking.To address this issue,the application of plant growth retardants(PGRs)is essential for controlling canopy architecture.PGRs reduce internode elongation,promote regulated branching,and increase plant compactness,making cotton plants better suited for machine picking.PGRs application also optimizes photosynthates distribution between veg-etative and reproductive growth,resulting in higher yields and improved fibre quality.The integration of HDPS and PGRs applications results in an optimal plant architecture for improving machine picking efficiency.However,the success of this integration is determined by some factors,including cotton variety,environmental conditions,and geographical variations.These approaches not only address yield stagnation and labour shortages but also help to establish more effective and sustainable cotton farming practices,resulting in higher cotton productivity.展开更多
Background Cotton is one of the most important commercial crops after food crops,especially in countries like India,where it’s grown extensively under rainfed conditions.Because of its usage in multiple industries,su...Background Cotton is one of the most important commercial crops after food crops,especially in countries like India,where it’s grown extensively under rainfed conditions.Because of its usage in multiple industries,such as textile,medicine,and automobile industries,it has greater commercial importance.The crop’s performance is greatly influenced by prevailing weather dynamics.As climate changes,assessing how weather changes affect crop performance is essential.Among various techniques that are available,crop models are the most effective and widely used tools for predicting yields.Results This study compares statistical and machine learning models to assess their ability to predict cotton yield across major producing districts of Karnataka,India,utilizing a long-term dataset spanning from 1990 to 2023 that includes yield and weather factors.The artificial neural networks(ANNs)performed superiorly with acceptable yield deviations ranging within±10%during both vegetative stage(F1)and mid stage(F2)for cotton.The model evaluation metrics such as root mean square error(RMSE),normalized root mean square error(nRMSE),and modelling efficiency(EF)were also within the acceptance limits in most districts.Furthermore,the tested ANN model was used to assess the importance of the dominant weather factors influencing crop yield in each district.Specifically,the use of morning relative humidity as an individual parameter and its interaction with maximum and minimum tempera-ture had a major influence on cotton yield in most of the yield predicted districts.These differences highlighted the differential interactions of weather factors in each district for cotton yield formation,highlighting individual response of each weather factor under different soils and management conditions over the major cotton growing districts of Karnataka.Conclusions Compared with statistical models,machine learning models such as ANNs proved higher efficiency in forecasting the cotton yield due to their ability to consider the interactive effects of weather factors on yield forma-tion at different growth stages.This highlights the best suitability of ANNs for yield forecasting in rainfed conditions and for the study on relative impacts of weather factors on yield.Thus,the study aims to provide valuable insights to support stakeholders in planning effective crop management strategies and formulating relevant policies.展开更多
文摘Information about the effects of phenotype traits on cottonseed protein, oil, and nutrients is scarce. The objective of this research was to investigate the effects of leaf color trait on seed nutrition in near-isogenic Gossypium hirsutum cotton expressing green (G) and yellow (Y) leaf color phenotypes. Our hypothesis was that leaf color can influence the accumulation of nutrients in seeds. Sets of isogenic lines were: DES 119 (G) and DES 119 (Y);DP 5690 (G) and DP 5690 (Y);MD 51ne (G) and MD 51ne (Y);SG 747 (G) and SG 747 (Y). Each NIL set is 98.44 % identical. Parent line SA 30 (P) was used as the control. The experiment was repeated for two years (2014 and 2015). The results showed that, in 2014, seed oil in DES 119 (G) and SG 747 (G) were significantly higher than their equivalent yellow lines. Green lines showed higher content of phosphorus compared with yellow lines. Higher levels of Cu, Fe, Mn, Ni, and Zn were recorded in DES 119 (G) and MD 51ne (G). In 2015, seed protein, oil, C, N, P, B, Cu, and Fe were higher in green lines than in yellow lines. There was a significant correlation between protein and nutrients, and between oil and nutrients in 2015, but not in 2014 as the temperature was warmer in 2015 than in 2014. This research demonstrated that leaf color can alter seed composition and mineral nutrition under certain environmental growing conditions such as temperature.
基金This work was supported by National Science and Technology Major Project of the Ministry of Science and Technology of China(2016ZX08005-005).
文摘As the main byproduct of cotton fiber,the cotton seed yields about 1.6 times that of fiber,with its oil rich in unsaturated fatty acids,mainly linoleic acid.It is desirable for breeders to increase the oil content of cottonseed without affecting the yield and quality of cotton fiber.In this study,a seed-specific promoter-(alpha-globulin gene promoter-)driven GhDGAT1 overexpression vector(P_(aGlob)-GhDGAT1)was constructed and used to transform an upland cotton line YZ1(Gossypium hirsutum).Overexpression of the cotton gene GhDGAT1 in cotton seeds increased its total oil content from 4.7%to 13.9%in different transgenic lines and different generations.With the increase of oil content,the composition and contents of the main fatty acids in cotton seed also changed,as reflected by the contents of the main saturated fatty acids and unsaturated oleic acid.GhDGAT1 could be used to increase oil content and improve oil composition in cottonseed.
基金Supported by the research foundation by the U.S.Cotton Research and Promotion Program,U.S.Department of Agriculture and the Project of Combination of Industry,Education and Research of Ministry of Education of Guangdong Province,China(2011B090400358)
文摘The traditional method to refine crude cottonseed oil is time-consuming and expensive.This study evaluates the effectiveness of coagulation–flocculation–sedimentation process using quaternary polyamine-based polymers in refining crude cottonseed oil.Flocculated by four commercial polyamine-based cationic polymers(SL2700,SL3000,SL4500 and SL5000)with varied molecular weight(MW)and charge density(CD)and followed by coagulation with sodium hydroxide,crude cottonseed oil can be effectively purified.Free fatty acids,gossypol,pigments and trace elements are all effectively and sufficiently removed by the four polymers in a MW-and CDdependent manner.Our results suggest that the use of polyamine-based cationic polymers may offer an effective and feasible alternative to the traditional method for crude cottonseed oil refining.
基金supported by China Agriculture Research System(CARS-15-27)Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences.
文摘Background: The diversified and high value-added utilization of cotton by products can promote the sustainable development of modern agriculture. Di erences in potential nutrients among varieties can be explained by variations in the composition and abundance of fatty acids, polyphenols, carbohydrates, amino acids, and organic acids. Therefore, the analysis of metabolite species and relationships in cottonseed is meaningful for the development of cotton byproducts.Results: In this study, the metabolomes of three representative cotton cultivars of di erent species were compared using untargeted GC-TOF/MS analysis. A total of 263 metabolites were identified from 705 peaks, and their levels were compared across cultivars. Principal component analysis and OPLS-DA clearly distinguish these samples based on metabolites. There were significant di erences in the contents of amino acids, carbohydrates, organic acids, flavonoids, and lipids in G. hirsutum TM-1 compared with G. arboreum Shixiya1 and G. barbadense Hai7124. Notably, the bioactive nutrient compound catechin obtained from the di erential metabolites significantly accumulated in TM-1. Furthermore, a comprehensive analysis using catechin and oil-related traits was conducted in core collections of Gossypium hirsutum. The results revealed the reliability of the GC-TOF/MS analysis, as well as that catechin content has a negative association with myristic acid, palmitic acid, stearic acid, oleic acid, linoleic acid, arachidic acid, and total fatty acids.Conclusion: These findings suggest that untargeted GC-TOF/MS analysis could provide a new method for investigating the underlying plant biochemistry of nutrient variation in cottonseed, and that catechin content has a negative association with oil-related traits in cottonseed. This study may pave the way to exploit the value of cotton byproducts.
基金This work was financially supported by the National Natural Science Foundation of China(31471540)National Transgenic Plant Research of China(2016ZX08005–001)to Zhang XL+3 种基金This project was also supported by the Fundamental Research Funds for the Central Universities(2662017JC030)Funding was also provided by Science and Technology Innovation Talent program(2020CB017)Scientific and Technological Breakthrough and Achievement Transformation Projects of Xinjiang Production and Construction Corps(2016 AC027)Scientific Research Project of Shihezi(2016HZ09)to You CY.
文摘Background:Naturally-colored cotton has become increasingly popular because of their natural properties of coloration,UV protection,flame retardant,antibacterial activity and mildew resistance.But poor fiber quality and limited color choices are two key issues that have restricted the cultivation of naturally-colored cotton.To identify the possible pathways participating in fiber pigmentation in naturally-colored cottons,five colored cotton accessions in three different color types(with green,brown and white fiber)were chosen for a comprehensive analysis of phenylpropanoid metabolism during fiber development.Results:The expression levels of flavonoid biosynthesis pathway genes in brown cotton fibers were significantly higher than those in white and green cotton fibers.Total flavonoids and proanthocyanidin were higher in brown cotton fibers relative to those in white and green cotton fibers,which suggested that the flavonoid biosynthesis pathway might not participate in the pigmentation of green cotton fibers.Further expression analysis indicated that the genes encoding enzymes for the synthesis of caffeic acid derivatives,lignin and lignan were activated in the developing fibers of the green cotton at 10 and 15 days post-anthesis.Conclusions:Our results strengthen the understanding of phenylpropanoid metabolism and pigmentation in green and brown cotton fibers,and may improve the breeding of naturally-colored cottons.
基金Information presented at the 1989 Cotton Improvement Conference, Nashville, Tennessee USA
文摘Thirty-six Chinese cottons were investigated for their physical properties using ASTM stand-ard test methods. Conventional methods using stelometer, fibrograph, and micronaireinstrumentation provided physical properties of tenacity, elongation, length, and fineness. Varietaland regional variations were examined. The Chinese cottons were compared with upland varietiesof American cottons grown across the country. In general, American cottons were stronger, butperhaps a little shorter than Chinese cottons. American cottons were no more mature on the aver-age, and they had lower elongations than did the Chinese cottons. The American cottons alsotended toward higher length uniformity than those varieties grown in China. High yarn strengthwas strongly favored by American cottons.
基金This Research was Financed by the Tianjin city government (2004)
文摘Structures and characteristics of naturally coloured cottons grown in China were analyzed. Breaking strength of yarns made of pure coloured cotton and coloured cotton fibres blended with other fibres were investigated. Colour fastness of the coloured cotton goods was tested. Suggestions for using the coloured cotton practically and effectively were also included.
文摘India’s temporary duty-free window for cotton imports has officially closed,with the government reinstating an 11%import tariff effective January 1,2026.The tax exemption,which expired on December 31,2025 without extension,marks a return to the previous tariff framework-a policy shift expected to raise costs for the domestic textile industry and potentially trigger ripple effects across global cotton trade.
基金the National Natural Science Foundation of China(32170271,32470277)the Project of Sanya Yazhou Bay Science and Technology City(SCKJ-JYRC-2023-52)the Natural Science Foundation of Henan Province(252300421076,222300420024).
文摘Carotenoids are lipophilic isoprenoid pigments with essential roles in plants.While the cultivated allotetraploid cottons exhibit distinct mature anther coloration—yellow in Gossypium barbadense versus predominantly white in G.hirsutum—the genetic basis of this divergence remains unclear.The purpose of this study was to identify the genetic basis of anther-color variation in cotton(Gossypium)species.We firstly identified carotenoids as the primary pigments underlying yellow-anthers coloration.Comparative transcriptomics of anthers revealed that the carotenoid biosynthesis gene GbPSY4 was expressed as a key regulator in G.barbadense.Functional validation via tissue-specific expression,subcellular localization,in vivo enzymatic assays,and virus-induced gene silencing confirmed its role in carotenoid biosynthesis and yellow pigmentation.Genome-wide association studies in a G.hirsutum population revealed GhPSY4_At,an ortholog of GbPSY4,as the causal gene of anther-color variation.We conclude that PSY4-regulated carotenoid biosynthesis governs yellow pigmentation.Furthermore,a finding that G.hirsutum accessions with yellow anthers showed greater pollen viability under high-temperature stress than those with white anthers suggests that the same pathway that governs yellow pigmentation influences heat tolerance.PSY4 is a promising target for breeding stress-tolerant cotton varieties.
基金supported by the Science and Technology Major Program of Bingtuan,China (2023AA008)the National Natural Science Foundation of China (31960369)+1 种基金the Bingtuan Science and Technology Program,China (2025DA001)the Henan Provincial Science and Technology Research Project,China (222102110200)。
文摘Recent studies have shown that lipid metabolism is a key factor affecting anther development and male fertility.However,how plants regulating the metabolic balance of multiple lipids to ensure proper anther development and male fertility remains unclear.Analyzing lipid molecules related to anther fertility and genes responsible for their biosynthesis is crucial for understanding the physiological significance of lipid metabolism in crop fertility.In this study,we compared the transcriptome and the composition and content of lipids in anthers of two upland cotton(Gossypium hirsutum) materials,Shida 98(WT) and its nearly-isogenic male sterile line Shida 98A(MS).Transcriptomics analysis identified many differentially expressed genes(DEGs) between the two materials,with the genes of the alpha-linolenic acid metabolism pathway being the most significantly associated with the male sterility phenotype.Investigations on lipids revealed that the MS anthers over-accumulated free fatty acids(FFAs),phosphatidic acid(PA),mono-and di-galactosyldiacylglycerol(MGDG and DGDG),and had a decreased content of triacylglycerol(TAG),which was closely related to the abnormal metabolism of alpha-linolenic acid(C18:3);therefore,the major lipids containing C18:3-acyl chains,such as PA,MGDG,DGDG,and TAG,are proposed to play a major role in cotton anther development.We also showed that an excessive level of MGDG and DGDG caused jasmonic acid(JA) overaccumulation in MS anthers,which in turn inhibited the expression of GhFAD3 and consequently reduced the C18:3 content,presumably via a feedback regulation mechanism,ultimately affecting plant fertility.Together,our results revealed the importance of a balanced lipid metabolism in regulating the development of cotton anther and pollen and consequently male fertility.
基金supported by grants from the National Natural Science Foundation of China(32170271,32470277)the Natural Science Foundation of Henan Province(222300420024).
文摘Natural colored cotton(NCC)offers a sustainable,dye-free,and eco-friendly alternative for producing colored textiles.Carotenoids,a group of important natural liposoluble pigments,are known for their diverse color spectrum.In this study,we successfully engineered the carotenoid biosynthesis pathway specifically in cotton fibers by utilizing a fiber-specific GbEXPA2 promoter and a CaMV 35S promoter to drive the expression of two key carotenoid biosynthesis genes,CrtB and CrtI,respectively.This approach resulted in the development of a golden fiber cotton germplasm enriched withβ-carotene.Notably,the pigmentation was predominantly observed during the early developmental stages of the fiber(5–20 d post-anthesis).While the presence of carotenoids had no significant effect on plant architecture and growth,it positively influenced the fiber elongation rate,albeit with a slight reduction in fiber length and strength.This study represents a pioneering strategy for the future development of NCCs through carotenoid biofortification.
文摘In the Tianshan region,a complete textile industry chain has been established,covering the entire process from cotton cultivation and chemical fiber production,through spinning,weaving,dyeing,and finishing,and further extending to apparel,home textiles,and industrial textiles.In November 2025,the first list of five characteristic textile and apparel industry clusters in Xinjiang was officially announced,marking a new stage in the clustering of Xinjiang's textile and apparel industry.Data shows that the total output value of Xinjiang's cotton and textile and apparel industry chain has exceeded 220 billion yuan.With the nation's largest cotton production,a complete industrial chain system,and strong synergistic effects,Xinjiang has become a leading and highly competitive textile industry hub in China.
基金supported by the Mississippi Agricultural and Forestry Experiment Station,Special Research Initiative(MAFES-SRI),USA,the USDA-Agricultural Research Service(USDA-ARS)(58-6064-3-007)the National Institute of Food and Agriculture,USA(MIS-430030)。
文摘Elevated CO_(2)(eCO_(2))may mitigate stress-induced damage to cotton(Gossypium spp.)growth and development.However,understanding the early-stage responses of cotton to multiple abiotic stressors at eCO_(2)levels has been limited.This study quantified the impacts of chilling(CS,22/14℃,day/night temperature),heat(HS,38/30℃),drought(DS,50%irrigation of the control),and salt(SS,8 d S m-1)stresses on pigments,physiology,growth,and development of 14 upland cotton cultivars under ambient CO_(2)(aCO_(2),420 ppm;current)and eCO_(2)(700 ppm;future)levels during the vegetative stage.The eCO_(2)partially negated the effects of all stresses by improving one or more of the pigments,physiological,growth,and development traits,except CS.For instance,HS at aCO_(2)significantly increased stomatal conductance by 36%compared with non-stressed plants at aCO_(2).However,HS at eCO_(2)significantly decreased stomatal conductance by 18%compared with HS at aCO_(2).The first squaring was delayed by one day under SS at aCO_(2)but two days earlier under SS at eCO_(2)than non-stressed plants at aCO_(2).Root and shoot dry mass and the total leaf area were significantly higher under all stresses,except for CS,at the eCO_(2)compared with similar stresses at the aCO_(2).Most growth and development traits,including plant height,leaf area,and shoot dry mass,displayed a mirroring response pattern between aCO_(2)and eCO_(2)under all environments except CS.Cultivars exhibited significant interaction with stressed environments.Further,results revealed differential sensitivity and adaptation potential of cultivars to stress environments at varying CO_(2)levels.This study highlights the need to consider eCO_(2)in designing breeding programs to develop stress-tolerant varieties for future cotton-growing environments.
基金Under the auspices of the National Natural Science Foundation of China(No.42101342,U2243205)the Third Comprehensive Scientific Expedition to Xinjiang(No.2021XJKK1403)。
文摘Cotton is an important global cash crops that serve as the primary source of natural fiber for textiles.A thorough understand-ing of the long-term variations in cotton cultivation is vital for optimizing cotton cultivation management and promoting the sustainable development of the cotton industry.Xinjiang is the primary cotton-producing region in China.However,long-term data of cotton cultiv-ation areas with high spatial resolution are unavailable for Xinjiang,China.Therefore,this study aimed to identify and map an accurate 30-m cotton cultivation area dataset in Xinjiang from 2000 to 2020 by applying a Random Forest(RF)-based method that integrates Landsat and Moderate Resolution Imaging Spectroradiometer(MODIS)images,and validated the applicability and accuracy of dataset at a large spatial scale.Then,this study analyzed the spatiotemporal variations and influencing factors of cotton cultivation in the study period.The results showed that a high classification accuracy was achieved(overall accuracy>85%,F1>0.80),strongly agreeing with county-level agricultural statistical yearbook data(R2>0.72).Significant spatiotemporal variation in the cotton cultivation areas was found in Xinjiang,with a total increase of 1131.26 kha from 2000 to 2020.Notably,cotton cultivation area in southern Xinjiang expan-ded substantially,with that in Aksu increasing from 20.10%in 2000 to 28.17%in 2020,representing an expansion of 374.29 kha.In northern Xinjiang,the cotton areas in the Tacheng region also exhibited significant increased by almost ten percentage points in the same period.In contrast,cotton cultivation in eastern Xinjiang declined,decreasing from 2.22%in 2000 to merely 0.24%in 2020.Standard deviation ellipse analysis revealed a‘northeast-southwest’spatial distribution,with the centroid consistently located in Aksu and shifting 102.96 km over the 20-yr period.Pearson correlation analysis indicated that socioeconomic factors had a stronger influence on cotton cultivation than climatic factors,with effective irrigation area(r=0.963,P<0.05)and total agricultural machinery power(r=0.823)showing significant positive correlations,whereas climatic variables exhibiting weak associations(r<0.200).These results provide valuable scientific data for informed agricultural management,sustainable development,and policymaking.
基金supported by the Science and Technology Program of Xinjiang Construction Corps(No.2024AB064)the National Natural Science Foundation of China(Nos.41975044,42001314)。
文摘Climate change is significantly impacting cotton production in the Tarim River Basin.The study investigated the climate change characteristics from 2021 to 2100 using climate change datasets simulated per the coupled model inter-comparison project phase six(CMIP6)climatic patterns under the shared socioeconomic pathways SSP2-4.5 and SSP5-8.5.The DSSAT-CROPGROCotton model,along with stepwise multiple regression analyses,was used to simulate changes in the potential yield of seed cotton due to climate change.The results show that while future temperatures in the Tarim River Basin will rise significantly,changes in precipitation and radiation during the cotton-growing season are minimal.Seed cotton yields are more sensitive to low temperatures than to precipitation and radiation.The potential yield of seed cotton under the SSP2-4.5 scenario would increase by 14.8%,23.7%,29.0%,and 29.4%in the 2030S,2050S,2070S,and 2090S,respectively.In contrast,under the SSP5-8.5 scenario,the potential yield of seed cotton would see increases of 17.5%,27.1%,30.1%,and 22.6%,respectively.Except for the 2090s under the SSP5-8.5 scenario,future seed cotton production can withstand a 10%to 20%deficit in irrigation.These findings will help develop climate change adaptation strategies for cotton cultivation.
基金financial help from the National Key R&D Program of China(2021YFE0101200)the Key Research and Development Project of Jiangsu Province,China(Modern Agriculture,BE2022364)+1 种基金the State Key Laboratory of Cotton Bio-breeding and Integrated Utilization Open Fund,China(CB2024A06)support of the Ministry of Science,Technological Development and Innovation of the Republic of Serbia(451-03-66/2024-03/200007)。
文摘Two cotton research institute(CRI)near-isogenic lines,CRI-12 glanded and CRI-12 glandless,were used to pinpoint potential genes and metabolic pathways linked to gossypol biosynthesis through transcriptome sequencing.We discovered more than 235 million clean reads and 1,184 differentially expressed genes(DEGs).Consecutively,we conducted a weighted gene co-expression network analysis and found a strong correlation between white and yellow modules containing GhTPS(GH_D09G0090)and GhCYP(GH_D05G2016)hub genes with the gossypol content.Importance of the GhTPS and GhCYP genes was demonstrated using RT-qPCR,virusinduced gene silencing(VIGS),and target metabolite analysis.Silencing these genes resulted in fewer glands on both leaves and stems two weeks after the infection compared to the wild type.In addition,152 metabolites were identified through targeted metabolite profiling.Differential metabolite screening revealed 12 and 18 significantly different metabolites in TRV:GhTPS and TRV:GhCYP plants vs.the control group,respectively,showing a reduction in the accumulation of metabolites compared to the control.Content of hemigossypol,the final product of gossypol biosynthesis,was also reduced,as revealed by target metabolite analysis,suggesting the role of these genes in the gossypol biosynthetic pathway.Furthermore,a highly significant difference in gossypol content between the glanded and glandless lines was recorded.Findings of this study reveal a strong link between the gossypol content and GhTPS and GhCYP hub genes,suggesting their role in the gossypol biosynthetic pathway to reduce the accumulation of hemigossypol,which may offer new comprehension into the regulatory checkpoints of the gossypol biosynthesis pathway in cotton.
基金Funding support for the Crop Pest Surveillance and Advisory Project(CROPSAP)。
文摘Background Cotton crop is infested by numerous arthropod pests from sowing to harvesting,causing substantial direct and indirect yield losses.Knowledge of seasonal population trends and the relative occurrence of pests and their natural enemies is required to minimize the pest population and yield losses.In the current study,analysis of the seasonal population trend of pests and natural enemies and their relative occurrence on cultivars of three cotton species in Central India has been carried out.Results A higher number and diversity of sucking pests were observed during the vegetative cotton growth stage(60 days after sowing),declining as the crop matured.With the exception of cotton jassid(Amrasca biguttula biguttula Ishida),which caused significant crop damage mainly from August to September;populations of other sucking insects seldom reached economic threshold levels(ETL)throughout the studied period.The bollworm complex populations were minimal,except for the pink bollworm(Pectinophora gossypiella Saunders),which re-emerged as a menace to cotton crops during the cotton cropping season 2017–2018 due to resistance development against Bt-cotton.A reasonably good number of predatory arthropods,including coccinellids,lacewings,and spiders,were found actively preying on the arthropod pest complex of the cotton crop during the early vegetative growth stage.Linear regression indicates a significant relationship between green boll infestations and pink bollworm moths in pheromone traps.Multiple linear regression analyse showed mean weekly weather at one-or two-week lag periods had a significant impact on sucking pest population(cotton aphid,cotton jassid,cotton whitefly,and onion thrips)fluctuation.Gossypium hirsutum cultivars RCH 2 and DCH 32,and G.barbadense cultivar Suvin were found susceptible to cotton jassid and onion thrips.Phule Dhanvantary,an G.arboreum cotton cultivar,demonstrated the highest tolerance among all evaluated cultivars against all sucking pests.Conclusion These findings have important implications for pest management in cotton crops.Susceptible cultivars warrant more attention for plant protection measures,making them more input-intensive.The choice of appropriate cultivars can help minimize input costs,thereby increasing net returns for cotton farmers.
基金supported in part by the Six Talent Peaks Project in Jiangsu Province under Grant 013040315in part by the China Textile Industry Federation Science and Technology Guidance Project under Grant 2017107+1 种基金in part by the National Natural Science Foundation of China under Grant 31570714in part by the China Scholarship Council under Grant 202108320290。
文摘The cleanliness of seed cotton plays a critical role in the pre-treatment of cotton textiles,and the removal of impurity during the harvesting process directly determines the quality and market value of cotton textiles.By fusing band combination optimization with deep learning,this study aims to achieve more efficient and accurate detection of film impurities in seed cotton on the production line.By applying hyperspectral imaging and a one-dimensional deep learning algorithm,we detect and classify impurities in seed cotton after harvest.The main categories detected include pure cotton,conveyor belt,film covering seed cotton,and film adhered to the conveyor belt.The proposed method achieves an impurity detection rate of 99.698%.To further ensure the feasibility and practical application potential of this strategy,we compare our results against existing mainstream methods.In addition,the model shows excellent recognition performance on pseudo-color images of real samples.With a processing time of 11.764μs per pixel from experimental data,it shows a much improved speed requirement while maintaining the accuracy of real production lines.This strategy provides an accurate and efficient method for removing impurities during cotton processing.
文摘Machine picking in cotton is an emerging practice in India,to solve the problems of labour shortages and production costs increasing.Cotton production has been declining in recent years;however,the high density planting system(HDPS)offers a viable method to enhance productivity by increasing plant populations per unit area,optimizing resource utilization,and facilitating machine picking.Cotton is an indeterminate plant that produce excessive vegeta-tive growth in favorable soil fertility and moisture conditions,which posing challenges for efficient machine picking.To address this issue,the application of plant growth retardants(PGRs)is essential for controlling canopy architecture.PGRs reduce internode elongation,promote regulated branching,and increase plant compactness,making cotton plants better suited for machine picking.PGRs application also optimizes photosynthates distribution between veg-etative and reproductive growth,resulting in higher yields and improved fibre quality.The integration of HDPS and PGRs applications results in an optimal plant architecture for improving machine picking efficiency.However,the success of this integration is determined by some factors,including cotton variety,environmental conditions,and geographical variations.These approaches not only address yield stagnation and labour shortages but also help to establish more effective and sustainable cotton farming practices,resulting in higher cotton productivity.
基金funded through India Meteorological Department,New Delhi,India under the Forecasting Agricultural output using Space,Agrometeorol ogy and Land based observations(FASAL)project and fund number:No.ASC/FASAL/KT-11/01/HQ-2010.
文摘Background Cotton is one of the most important commercial crops after food crops,especially in countries like India,where it’s grown extensively under rainfed conditions.Because of its usage in multiple industries,such as textile,medicine,and automobile industries,it has greater commercial importance.The crop’s performance is greatly influenced by prevailing weather dynamics.As climate changes,assessing how weather changes affect crop performance is essential.Among various techniques that are available,crop models are the most effective and widely used tools for predicting yields.Results This study compares statistical and machine learning models to assess their ability to predict cotton yield across major producing districts of Karnataka,India,utilizing a long-term dataset spanning from 1990 to 2023 that includes yield and weather factors.The artificial neural networks(ANNs)performed superiorly with acceptable yield deviations ranging within±10%during both vegetative stage(F1)and mid stage(F2)for cotton.The model evaluation metrics such as root mean square error(RMSE),normalized root mean square error(nRMSE),and modelling efficiency(EF)were also within the acceptance limits in most districts.Furthermore,the tested ANN model was used to assess the importance of the dominant weather factors influencing crop yield in each district.Specifically,the use of morning relative humidity as an individual parameter and its interaction with maximum and minimum tempera-ture had a major influence on cotton yield in most of the yield predicted districts.These differences highlighted the differential interactions of weather factors in each district for cotton yield formation,highlighting individual response of each weather factor under different soils and management conditions over the major cotton growing districts of Karnataka.Conclusions Compared with statistical models,machine learning models such as ANNs proved higher efficiency in forecasting the cotton yield due to their ability to consider the interactive effects of weather factors on yield forma-tion at different growth stages.This highlights the best suitability of ANNs for yield forecasting in rainfed conditions and for the study on relative impacts of weather factors on yield.Thus,the study aims to provide valuable insights to support stakeholders in planning effective crop management strategies and formulating relevant policies.
