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Cotton (Gossypium spp.) is an important natural textile fiber and oilseed crop widely cultivated in the world. Lint percentage (LP, %) is one of the important yield factor, thus increasing lint percentage is a core goal of cotton breeding improvement. However, the underlying genetic and molecular mechanisms that control lint percentage in upland cotton remain largely unknown. Here, we performed a Genome-wide association study (GWAS) for LP based on phenotypic tests of 254 upland cotton accessions in four environments and BLUPs using the high-density CottonSNP80K array. A total of 41,413 high-quality single-nucleotide polymorphisms (SNPs) were screened and 34 SNPs within 22 QTLs were identified as significantly associated with lint percentage trait in different environments. In total, 175 candidate genes were identified from two major genomic loci (GR1 and GR2) of upland cotton and 50 hub genes were identified through GO enrichment and WGCNA analysis. Furthermore, two candidate/causal genes, Gh_D01G0162 and Gh_D07G0463, which pleiotropically increased lint percentage were identified and further verified its function through LD blocks, haplotypes and qRT-PCR analysis. Co-expression network analysis showed that the candidate/causal and hub gene, Gh_D07G0463, was significantly related to another candidate gene, Gh_D01G0162, and the simultaneous pyramid of the two genes lays the foundation for a more efficient increase in cotton production. Our study provides crucial insights into the genetic and molecular mechanisms underlying variations of yield traits and serves as an important foundation for lint percentage improvement via marker-assisted breeding.

Background water shortage is the greatest significant reason controlling crop yield that harmfully affects fruit production, boll shedding, lint yield and fiber properties quality in cotton plants. Objectives: this study was carried out at Sakha Agricultural Research Station, Kafr El-Sheikh, Agric. Res. Center, Egypt, during 2014 and 2015 growing seasons. A study was undertaken in cotton (G. barbadense L.) to detect the magnitude of genetic divergence among parental cotton genotypes and their F1s cross combinations and to select most suitable combinations for tolerant water deficient. Results and conclusion: the data showed that the first eight main principal components with eigen value more than one are extracted from the complicated components, the total cumulative variance of these eight factors amount for about 85.28% of the total multivariate variance. Suggesting that these PCA scores might be used to summarize the original variables in any further analysis of the data. The female parent 10,229 formed wide cluster having wide divergent distance from the other groups. On the same trend, the extra-long varieties Giza 96 and Giza 45 formed unique groups, cluster number 8 and cluster 1 nearly related. Cluster number 7 and cluster 4 which consisted of two genotypes for each characterized by susstable to water deficit conditions. The cross combinations Giza 77 x Dandra, Giza 77 x Pima S6, Giza 96 x Australy and Minufy x Dandra grouped at the same cluster, however the cross combinations Giza 86 x Dandra and Giza 68 × 10,229 classified into two different clusters. The data revealed that the inter cluster distance was higher than the intra cluster, indicating wide genetic divergent among the studied genotypes. Principal components analysis is useful in identifying and most influential characters affecting genetic variation of population.

Water stress is a critical abiotic stress for plant reduction in arid and semiarid zones and, has been discovered to be detrimental to the development of seedlings as well as the growth and physiological characteristics of many crops such as cotton. The objectives of our study were to determine the combining ability and genetic components for five quantitative traits [(leaf area (LA), leaf dry weight (LDW), plant height (PH), fiber length (2.5 percent SL), and lint cotton yield/plant (LCY/P)] under water shortage stress, a half diallel cross between six cotton genotypes representing a wide range of cotton characteristics was evaluated in RCBD with four replications. The genotype mean squares were significant for all traits studied, demonstrating significant variation among genotypes for all characters under water shortage stress. LCY/P had the highest phenotypic and genotypic correlation co-efficient with PH, LDW, and LA shortage. The highest direct effect on lint cotton yield was exhibited by leaf area (3.905), and the highest indirect effects of all traits were through LA, with the exception of 2.5 percent SL, which was through LDW. The highest dissimilarity (Euclidean Distance) between parental genotypes was between G.87 and G.94, followed by G.87 and Menoufi. G.94 was also a well-adapted genotype, and the combinations G.87 x G.94 and G.87 x Menoufi may outperform their parents. The combining ability analysis revealed highly significant differences between parental GCA effects and F1 crosses SCA effects. The variation of GCA and SCA demonstrated the assurance of additive and non- additive gene action in the inheritance of all traits studied. In terms of general combining ability (GCA) effects, parental genotype G.94 demonstrated the highest significant and positive GCA effects for all traits studied, with the exception of 2.5 percent SL, where G.87 revealed the highest significant and positive GCA effects. The effects of specific combining ability (SCA) revealed that the cross (G.87 x2G.94) revealed stable, positive, and significant SCA for all of the studied traits.

The aim of this article is to investigate the works of Charles de Lint in order to evaluate their position within the genre of urban fantasy. The theoretical framework is adopted from Stefan Ekman’s article “Urban Fantasy: A Literature of the Unseen” (2016) which investigates the genre’s development and formulates a list of its most distinctive features. While this article uses Ekman’s study to examine de Lint’s fictional cities, it also indicates how de Lint’s works challenge Ekman’s analysis. Moreover, the article demonstrates how de Lint’s concern with problems of urban communities transforms his works into narratives of social inclusion, which are particularly significant in the age of the Anthropocene.

Changes in the production of Australian cotton lint are expected to have a direct environmental impact, as well as indirect impacts related to co-product substitution and induced changes in crop production. The environmental consequences of a 50% expansion or contraction in production were compared to Australian cotton production’s current environmental footprint. Both were then assessed to investigate whether current impacts are suitable for predicting the environmental impact of a change in demand for cotton lint. A consequential life cycle assessment (LCA) model of Australian cotton lint production (cradle-to-gin gate) was developed using plausible scenarios regarding domestic regions and technologies affected by changes in supply, with both expansion (additional cotton) and contraction (less cotton) being modelled. Modelling accounted for direct impacts from cotton production and indirect impacts associated with changes to cotton production, including co-product substitution and changes to related crops at regional and global scales. Impact categories assessed included climate change, fossil energy demand, freshwater consumption, water stress, marine and freshwater eutrophication, land occupation and land-use change. For both the expansion and contraction scenarios, the changes to climate change impacts (including iLUC) and water impacts were less than would be assumed from current production as determined using attributional LCA. However, the opposite was true for all other impact categories, indicating trade-offs across the impact categories. Climate change impacts under both scenarios were relatively minor because these were largely offset by iLUC. Similarly, under the contraction scenario, water impacts were dominated by indirect impacts associated with regional crops. A sensitivity analysis showed that the results were sufficiently robust to indicate the quantum of changes that could be expected. A complex array of changes in technologies, production regions and related crops were required to model the environmental impacts of a gross change in cotton production. Australian cotton lint production provides an example of legislation constraining the direct water impacts of production, leading to a contrast between impacts estimated by attributional and consequential LCA. This model demonstrated that indirect products and processes are important contributors to the environmental impacts of Australian cotton lint.

Soil salinity is one of the serious abiotic stresses adversely affects crop production. The objectives of this study were to screen fifteen long-staple cotton belong to Gossypium barbadense L. for salinity tolerance, salinity indices, genotypic correlations, and path-coefficient analysis. Under normal soil the genotypes differed significantly in most traits in both years. Under saline soil the differences among genotypes re significant in one year and in the combined analysis for SCY/P, LY/P, SI, NS/B, PH, and Pressley index. The cultivars “G 90 x Aus”, G95, G 90, G 80, and G 83 showed the highest performance in SCY/P, LY/P, Lint%, NB/P and NS/B either under normal or saline soil. The reduction% caused by salinity was observed for PH (55.92%), LY/P (52.21%), SCY/P (48 75%), NB/P (32.47%), LI (5.68%), Micronaire reading (11.22%), Pressley index (6.63%) and UHM length (0.89%). Giz90 x Aus followed by Giza 90 showed the best tolerance to salinity stress. The STI, MP, GMP, HM and DI detected both of tolerant and susceptible genotypes and could be considered the best tolerant indices. The direct and indirect effects of SCY/P components varied greatly under both environments. The direct effects of the SCY/P components under normal soil were 0.504, 0.401, 0.153 and 0.147 for NB/P, LY/P, SI, and NS/B, respectively. However, under saline soil the direct effects were 0.802, 0.178, 0.128 and 0.050 for LY/P, NB/P, NS/B and SI, respectively. Therefore, under both environments, selection should be paid mainly on NB/P and LY/P.

These experiments were conducted to study the response of some Egyptian cotton, Giza 96 (extra-long stable) and Giza Giza 96 (extra-long stable)varieties and its yield characteristic, lint percentage, fiber and yarn properties when using bio-fertilizers such as vermicompost, Bacteria bacteria inoculums (Bacillus polymxa, Bacillus megaterium and Bacillus circulans) and algae extract under different growing area, Sakha region (clay soil) and El-Nubaria region (calcareous soil).Concerning the effect of different treatments application on soil properties, thisresults showed a significantly increaseof soil organic matter, pHit was relatively insignificantly decreased and the vermicompost treatments had positive effects on the levels of N, P and K. available. As soil biological count of Bacteria, Fungi, Actinomycetes and Carbon dioxide evolution rate it showed a significant increase. The content of cotton plant leaves of chlorophyll A, B, Carotenoids and Total phenols was significantly improved under different fertilizer treatments compared to the control.The treatment with (vermicompost fertilizer + bacterial inoculation + 50% of mineral fertilizer recommended dose + algae extract) proved its superiority over the rest of the treatments, especially in the seed cotton yield, and lint percentage, which increased at 1.41 kentar per feddan and 0.63(lint %) compared to the two control treatments. Data of cotton yield characteristics, fiber and yarn properties were recorded significantly different due to cultivated in different regions.The difference among studied varieties may be due to the growth habit and response of each one to environmental conditions, which controlled by genetic factors and efficient utilization of inputs and natural resources.

Naturally colored cotton fiber is environment-friendly but has monotonous color and poor fiber quality. Identification of green fiber or fuzz genes would aid in investigating the biosynthesis of green pigments in cotton fibers. In this study, we established a mapping population and found that the Lgf trait (white lint and green fuzz) from Gossypium hirsutum race latifolium is controlled by an incompletely dominant gene. The Lgf locus was mapped to a 71-kb interval on chromosome 21 containing seven genes, including a transcription factor with similarity to Arabidopsis MYB9. Harboring 13 SNPs and a 4-bp insertion/deletion in its promoter, GhMYB9 was highly up-regulated in the critical period for green pigment development in fuzz. Virus-induced gene silencing of GhMYB9 in a green-fuzz accession of G. hirsutum race latifolium TX-41 conferred white or light green fuzz. These results suggest that GhMYB9 is an important contributor to green pigments in cotton fiber and shed light on the regulatory mechanism controlling green pigmentation.

Two field experiments were carried out in Agricultural Research and Experimental Station, Faculty of Agriculture, Cairo University, Giza, Egypt (2019 and 2020) to study the response of Egyptian cotton cultivars (Giza 92, Giza 94 and Giza 95) growth, yield and fiber properties to foliar zinc (Zn) rates (0, 100 and 200 ppm) and nitrogen (N) fertilizers sources; urea (U), ammonium nitrate (AN) and ammonium sulfate (AS). Cultivars, N sources and foliar Zn led to a significant effect on plant height, number of sympodial branches plant-1, total and open bolls plant-1, boll weight, seed index, seed cotton yield plant-1, seed cotton yield fed-1, fiber strength, and fineness. While, cultivars had a significant effect on the position of the 1st sympodial node, lint%, fiber length and uniformity index. Giza 95 was a superior in above parameter except seed index and fiber quality. While, Giza 92 was a superior in fiber quality. Significant of two and three interactions between studied factors existed on most of studied traits. Whereas, the highest values were obtained from plots treated with AS with foliar Zn at 200 ppm in most cases. Significant relationships were found between total boll and percentage of open boll plant-1; R2 = 0.76 (Giza 92), 0.89 (Giza 94) and 0.91 (Giza 95). Also, seed cotton yield fed.-1 with open bolls plant-1, boll weight and lint% (R2 = 0.862, 0.632 and 0.619, respectively). In such experimental soil conditions ammonium sulfate and foliar Zn at 200 ppm could be recommended to improve the cotton properties.

Nigeria was a major global exporter of cotton lint to international market during the colonial and post-colonial era till late 70s when the country fully embraced oil exports to the detriment of the non-oil sector, cotton lint exports inclusive. However, Nigeria is gradually emphasizing agricultural exports again to earn huge foreign exchange, the oil sector having left the country in economic crises. This study utilized time series model particularly, Autoregressive Integrated Moving Average (ARIMA) to make forecasting of cotton lint exports in Nigeria by using 46 yearly observations (1970-2015). The model went through series of investigative and diagnostic tests in order to observe the usefulness of the model. The fitting of the selected ARIMA (2,1,2) model to the time series data, means fitting ARIMA (2,1,2) model of one first order difference. Smaller RMSE, MAE as well as Theil Inequality coefficient are actually preferred and justified that ARIMA (2,1,2) model was justified as adequate for the forecasting of cotton lint exports in Nigeria with AIC value of 20.96771, SIC value of 21.04881, MAPE value of 6751.231, RMSE of 93303.67 and R2 of 0.330951. A thirty-year period ahead of cotton lint exports is predicted. The observations signify a rising trend in exports hence; it will be available especially in the future for foreign trade in the next thirty years. The outcome from the study is valuable for trade organisations and investors in assessing the precariousness of the market structure.

In agriculture, fungi can cause serious damage, resulting in critical losses of yield, quality and profit. Fungicides help in reducing the damage caused by fungus, reduce the yield loss and play a major role in quality improvement. The present investigation was carried out at Tamil Nadu Agricultural University to evaluate the influence of trifloxystrobin 50% + tebuconazole 25% (Nativo 75WG) on the yield and quality improvement on Bunny hybrid Bt cotton. Nativo 75WG was applied on the leaves of cotton plants at 40-60 (DAS) and 60-80 (DAS) at the concentration of 250, 300, 350 g/ha and Carbendazim @ 500 g/ha. The observations recorded were related to yield and quality attributes in all treatments. The application of Nativo @ 300 g/ha showed a significant increase in boll weight (4.86 g), lint yield per boll (3.86 g boll-1) and lint per plant (138.48 g plant -1) than other treatments. With respect to seed cotton yield and harvest index (0.37 %), the Nativo @ 300 g/ha registered a higher yield (20.2 %) and HI than control under the irrigated situation. Foliar application of treatments during the flowering stage (40-60 DAS) and boll formation stages (60-80 DAS) had increased the quality parameters such as fiber length (2.5% staple length, 50 % staple length) and fiber strength. Further, the foliar spray of Nativo @ 300 g/ha applied to bunny hybrid Bt cotton had resulted in a higher yield (2920.15 kg ha-1) due to an increase in leaf area index, greenness of leaf and higher dry matter production of the plant.

The removal of plastic contamination from cotton lint is an issue of top priority to the U.S. cotton industry. One of the main sources of plastic contamination showing up in marketable cotton bales is plastic used to wrap cotton modules produced by John Deere round module harvesters. Despite diligent efforts by cotton ginning personnel to remove all plastic encountered during module unwrapping, plastic still finds a way into the cotton gin’s processing system. To help mitigate plastic contamination at the gin, a machine-vision detection and removal system was developed that utilizes low-cost color cameras to see plastic coming down the gin-stand feeder apron, which upon detection, blows plastic out of the cotton stream to prevent contamination. This paper presents the software design of this inspection and removal system. The system was tested throughout the entire 2019 cotton ginning season at two commercial cotton gins and at one gin in the 2018 ginning season. The focus of this report is to describe the software design and discuss relevant issues that influenced the design of the software.

This study aimed at assessing genotypic variability among six cotton genotypes and their 15 F1 crosses, clarifying the relationship between cotton yield and important agronomic traits, and determining the amount of direct and indirect impacts of attributed traits on cotton yield. Six long-staple and high-yielding cotton genotypes and their 15 F1 crosses were evaluated in the summer season of 2017 at the Experimental Farm of Sids Research Station, Beni-Suef, Egypt. The obtained results revealed highly significant differences among parental genotypes and their F1 crosses for all evaluated traits.The phenotypic coefficient of variation (PCV) was greater than the genotypic coefficient of variation (GCV) for all studied traits. The difference between PCV and GCV was very low for days to first flower unfolding, days to first opened boll,and uniformity ratio, while was relatively higher for number of nodes to first sympodial branch, lint index, micronaire reading, fiber strength, 100-seed weight, seed yield/plant, and lint yield/plant. The heritability in broad sense (h2b) values were high for days to first flower unfolding, days to first opened boll. Moreover, number of opened bolls/plant and boll weight/plant had positive and significant genotypic and phenotypic correlation with seed yield/plant and lint yield/plant. Furthermore, number of opened bolls/plant, boll weight/plant, and 100-seed weight exhibited positive direct effect on seed cotton yield. The highest indirect effects on seed cotton yield were assigned for number of opened bolls/plant, boll weight/plant, 100-seed weight, lint percentage, and lint index through lint yield/plant. The obtained results provide valuable information for cotton breeding programs to develop new high-yielding genotypes with acceptable fiber quality parameters

Background Cotton (Gossypium hirsutum L.) is grown for fiber and oil purposes in tropical and sub-tropical areas of the world. Pakistan is the 4th largest producer of cotton. It has a significant contribution in the GDP of Pakistan. Therefore, the present study was performed to assess the genetic variations and genetic diversity of yield and fiber quality traits in cotton and to analyze the associations present among them. Results Analysis of variance exhibited significant variation for all studied traits except total number of nodes and the height to node ratio. The phenotypic coefficient of variation was higher than the genotypic coefficient of variation for all studied traits. Plant height, monopodial branches, total number of bolls, lint index, seed index, and seed cotton yield displayed high heritabilities in a broad sense with maximum genetic advance. Correlation analysis revealed that seed cotton yield had a significant positive association with plant height, the number of monopodial branches, the number of sympodial branches, ginning outturn (GOT), the number of bolls, seed per boll, seed index, uniformity index, the number of sympodial branches, reflectance, and seed index at the genotypic level while a significant positive relationship was observed with plant height, the number of sympodial branches, boll number, and GOT. Plant height, monopodial branches, GOT, boll weight, seeds per boll, and short fiber index exerted direct positive effects on seed cotton yield. The first 6 principal component analysis (PCs) out of the total fourteen PCs displayed eigenvalues (> 1) and had maximum share to total variability (82.79%). The attributes that had maximum share to total divergence included plant height, uniformity index, the number of sympodial branches, seed per boll, GOT, seed cotton yield, and short fiber index. Conclusion The genotype AA-802, IUB-13, FH-159, FH-458, and CIM-595 were genetically diverse for most of the yield and fiber quality traits and could be utilized for the selection of better performing genotypes for further improvement.

The present study was conducted to select cotton stable cultivars with high productivity across various environments. Nine Egyptian cotton cultivars were grown in a split-plot randomized complete block design with three replications consisted of six different environments (2 years × 3 sowing dates) to identify the high yield stability cultivars under these conditions. Pooled analysis of variance for; number of bolls/plant, seed cotton yield and lint yield revealed significant differences due to cultivars, environments and their interactions. Results revealed that the cultivars Dandara and Giza 90 were considered as superior cultivars under different environmental conditions due to their high number of bolls/plant, seed and lint yield traits across different environments when compared with grand mean for these traits beside acceptable stability parameters (bi near to one, S2di non-significant, α stability value not significantly differed from zero and the λ statistic was not significantly differed from one). Therefore, it could be used in breeding programs for development of high yield stable genotypes across environments for future use. Also, principal component analysis (PCA) showed that Dandara and Giza 90 cultivars were located near all studied traits and environments (stable cultivars over different environments). According to our results the two cultivars (Dandara and Giza 90) can be recommended to be uses under a wide range of environmental conditions and use in breeding programs for development of high yield stable genotypes across environments for future use.

US cotton producers are motivated to optimize planter performance to ensure timely and uniform stand establishment early in the season, especially when planting in sub-optimal field conditions. Field studies were conducted in 2017, 2018 and 2019 to evaluate the effect of seeding depth and planter downforce on crop emergence and yield in cotton planted in different soil moisture conditions. Field conditions representative of dry, normal and wet soil moisture conditions were attained by applying 0, 1.27 and 2.54 cm of irrigation within the same field. Two cotton cultivars (representing a small-seeded and a large-seeded cultivar, 9259–10,582 and 11,244–14,330 seeds kg−1, respectively), were planted at seeding depths of 1.3, 2.5 and 3.8 cm with each seeding depth paired with three different planter downforces of 0, 445 and 890 N in each block. Cotton was planted in plots that measured 3.66 m (four-rows) wide by 10.67 m long. Results indicated that crop emergence was affected by the seeding depth across most field conditions and higher crop emergence was observed in the large-seeded cultivar at 1.3 and 3.8 cm seeding depths in dry and wet field conditions, respectively. Lint yield was also higher for the large-seeded cultivar at the 3.8 cm seeding depth across all field conditions in 2017, and in dry field conditions in 2018. Planter downforce effect on crop emergence varied among the cultivars where the large-seeded cultivar exhibited higher crop emergence than the small-seeded cultivar at 445 and 890 N downforce. Planter downforce of 445 N yielded greater than the 0 and 890 N treatment in dry field conditions in 2017. The study results suggest that matching planter depth and downforce settings for prevalent soil moisture conditions at planting along with appropriate cultivar selection can help in achieving optimal emergence and yield in cotton.

Early prediction of crop yield serves as a strategic plan for policymakers in making suitable import–export policies. In this research, remote sensing driven semi-empirical light use efficiency (LUE) model and a process-based crop simulation model (CSM) approach were attempted to predict cotton yield in the five districts of Maharashtra state, India. Time-series satellite data from different earth observation (EO) missions were retrieved from 2011 to 2017. Satellite-based measurements of fraction of absorbed photosynthetically active radiation (FAPAR) and photosynthetically active radiation (PAR) data were directly incorporated into the LUE model. The LUE model approach used observed minimum (0.07) and maximum (0.12) lint harvest index (HI) values to predict the cotton yield. On the other hand, the CSM model was parameterized with observed field management, soil, weather, and cultivar data for crop yield prediction. The inter-evaluation of models has revealed that the LUE model with HI value 0.07 (HI0.07) performed better when compared to the LUE model with HI value 0.12 (HI0.12) and CSM model. LUE model HI0.07 had shown better accuracy in terms of root mean square error (RMSE) of 154 kg ha−1 and correlation coefficient value of (R2 = 0.46) when compared with LUE model HI0.12 (RMSE 310 kg ha−1 and R2 = 0.41) and CSM model (RMSE 235 kg ha−1 and R2 = 0.38). The predicted yield from the models was found satisfactory for the normal year with acceptable accuracy. However, overestimation of yield was seen for the years affected by drought. This study has shown the potential of geospatial data that can be coupled with crop models to predict the crop yield with limited field observations.

Cotton crop, plays a significant role in Pakistan’s economy by ruling a prominent place in edible oil and local textile industry. Phosphorus (P) inaccessibility and deficiency of soil organic matter are the key restraints for low crop productivity in cotton. Therefore, a two years field study was designed during 2014-15, to explore the influence of phosphate solubilizing bacteria (PSB), farmyard manure (FYM), poultry manure (PM) and inanimate sources of P on various physiological, growth, yield and quality parameters of cotton crop at CCRI Multan. Field responses of seeds inoculated with two distinctive phosphate solubilizing bacteria (PSB) strains viz. S0 = control, S1 =strain-1, S2 = strain-2 and eight organic, inorganic P sources viz., P0= control, P1 = 80 kg ha-1 P from inorganic source, P2 = 80 kg ha-1 P from FYM, P3 = 80 kg ha-1 P from PM, P4 = 40 kg ha-1 P from FYM + 40 kg ha-1 P from inorganic source, P5 = 40 kg ha-1 P from PM + 40 kg ha-1 P from inorganic source, P6 = 80 kg ha-1 P from FYM + 40 kg ha-1 P from inorganic source, P7 = 80 kg ha-1 P from PM + 40 kg ha-1 P from inorganic source and P8 = 40 kg ha-1 P from FYM + 40 kg ha-1 P from PM were evaluated. Results revealed that inoculation of seeds with PSB and collective use of inorganic and organic sources of P had considerably increased the yield contributing attributes in cotton. However, the treatment P7 (80 kg P ha-1 from PM + 40 kg P ha-1 from inorganic source) in coincidence with seeds inoculated with PSB (S1) produced taller plant, maximum boll weight, significantly higher LAI and CGR. Significantly higher seed cotton yield, lint yield, fiber length and maximum BCR of 1.95 and 1.81 was also obtained from the P7 treatment during both crop-growing seasons. In conclusion, combined use of 80 kg P ha-1 from PM + 40 kg P ha-1 from inorganic source and cotton seeds inoculated with strain-1 improved phosphorus uptake ensuing in greater consumption of photo-assimilates for maximum growth and yield. Resumo A safra de algodão, desempenha um papel significativo na economia do Paquistão, ao ocupar um lugar de destaque no óleo comestível e na indústria têxtil local. A inacessibilidade e a deficiência de fósforo (P) da matéria orgânica do solo são as principais restrições para a baixa produtividade das culturas em algodão. Portanto, um estudo de campo de dois anos foi desenvolvido durante 2014-15, para explorar a influência de bactérias solubilizantes de fosfato (PSB), esterco de capoeira (FYM), esterco de aves (PM) e fontes inanimadas de P sobre vários fatores fisiológicos, crescimento, rendimento e parâmetros de qualidade da cultura do algodão no CCRI Multan. Respostas de campo de sementes inoculadas com duas cepas distintas de bactérias solubilizantes de fosfato (PSB) viz. S0 = controle, S1 = cepa-1, S2 = cepa-2 e oito fontes orgânicas de P inorgânicas viz., P0 = controle, P1 = 80 kg ha-1 P de fonte inorgânica, P2 = 80 kg ha-1 P de FYM, P3 = 80 kg ha-1 P de PM, P4 = 40 kg ha-1 P de FYM + 40 kg ha-1 P de fonte inorgânica, P5 = 40 kg ha-1 P de PM + 40 kg ha-1 P de fonte inorgânica, P6 = 80 kg ha-1 P de FYM + 40 kg ha-1 P de fonte inorgânica, P7 = 80 kg ha-1 P de PM + 40 kg ha-1 P de fonte inorgânica e P8 = 40 Foram avaliados kg ha-1 P da FYM + 40 kg ha-1 P da PM. Os resultados revelaram que a inoculação de sementes com PSB e o uso coletivo de fontes inorgânicas e orgânicas de P aumentaram consideravelmente os atributos que contribuem para a produtividade no algodão. No entanto, o tratamento P7 (80 kg P ha-1 da PM + 40 kg P ha-1 da fonte inorgânica) em coincidência com sementes inoculadas com PSB (S1) produziu planta mais alta, peso máximo de cápsula, IAF e CGR significativamente maiores. Produtividade significativamente maior do algodão, rendimento de fiapos, comprimento da fibra e BCR máximo de 1,95 e 1,81 também foi obtida a partir do tratamento P7 durante as duas épocas de cultivo. Em conclusão, o uso combinado de 80 kg P ha-1 de PM + 40 kg P ha-1 de fonte inorgânica e sementes de algodão inoculadas com a cepa-1 melhoraram a captação de fósforo, resultando em maior consumo de foto assimilados para obter crescimento e produtividade máximos.

Two field experiments were conduct at Sakha Agricultural Research Station at Kafr El-Sheikh Governorate, Egypt, during 2018 and 2019 seasons to study increasing the efficiency of surface irrigation by using surge irrigation for cotton production in the Delta soils for Giza 96 cotton variety. A split plots design with four replications was used, where the main plots involved three lengths of irrigation rows (30, 40 and 50 meter) and the sub plots included three surge irrigation timing systems (time for opening and closing surge irrigation) (10 minute open -10 minute close, 15 minute open -15 minute close and 20 minute open -20 minute close until finish from irrigation). The results indicated that; The 30 meter row length irrigation significantly increased p lant height, no. of fruiting branches/plant, number of open bolls /plant, boll weight, seed cotton yield/plant and seed cotton yield/fed. compared with the other treatments irrigation row lengths 40 and 50 meter. The surge irrigation timing system 10 minutes open and 10 minutes close significantly increased plant height, number of fruiting branches/plant, number of open bolls/plant, boll weight, seed cotton yield/plant and seed cotton yield/fed. compared with the other surge irrigation timing systems (15-15 and 20-20). The interaction between 30 meter row length and surge irrigation timing system 10 minutes open and 10 minutes close gave the good values of growth, yield and its components of Giza 96 cotton variety in both seasons. Row lengths irrigation and surge irrigation timing systems treatments and its interaction did not exhibit any significant effect on seed index, lint % and fiber properties in both seasons. Finally, using 30 meter irrigation row length and surge irrigation timing systems 10 minutes open and 10 minutes close gave the highest seed cotton yield/fed. for Giza 96 cotton cultivar under the conditions of Kafr El-Sheikh in the Delta soils.

A study was conducted to assess the extent of the heterosis for sixteen yield and yield-attributing traits in four cotton hybrids (each having P1, P2, F1, F2, BC1 and BC2 generations) obtained by crossing four interspecific lines of desi cotton in a compact family block design with three replications during kharif 2017-18. Highly significant and positive relative heterosis, heterobeltiosis and inbreeding depression were recorded in most of the crosses. For seed cotton yield per plant, positive and highly significant relative heterosis, heterobeltiosis and inbreeding depression were recorded in all the four crosses indicated major role of non-additive gene actions in the inheritance of seed cotton yield per plant and its attributes, while cross III (GShv 362/12 x PA 812) recorded the highest heterotic effect among all crosses which also performed well for monopodia per plant, average boll weight, lint yield per plant, ginning percentage, lint index, fibre fineness and fibre strength.

This experiment was conducted in order to estimate general and specific combining abilities effects and genetic divergence for yield and quality characters using the line x tester mating design. Seven lines and four testers along with their 28 crosses of (Gosssypium barbadense L.) were evaluated for yield and fiber characters at Sakha Agric. Res. Stat. during 2018 growing season. Analysis of variance revealed significant differences among the genotypes, parents and crosses for all studied characters, indicating the presence of considerable amount of genetic variability among the evaluated genotypes. The variance due to parents versus crosses was also significant for most studied characters indicating that significant heterosis could be expected incrosses for these characters and comparison will be much relevant. The variance due to males and females were also significant for most studied characters and majority than the variance due to parents (lines and testers), these results indicated that the experimental materials possessed considerable variability and the two types of combining ability were involved in the genetic expression of these characters. However line vs. tester showed highly significant differences for most studied traits, showing theimportance of both additive and non additive variance gene effects. Among the female parents (testers) Karshenky2 was the best combines for earliness index and micronaire reading. Giza 94 was the best general combines for earliness index , most yield and fiber characters. Giza45 and Giza 86 were predicted to be best general combines for fiber characters.While, Giza 93 has positive and significant general combining ability (GCA) for all the studied yield traits and fiber strength. The cross combinations Giza 86 x Giza 94 and Giza 93 x Giza 94 showed significant positive SCA values for boll weight, seed index and lint index. The dissimilarity coefficients among eleven cotton genotype corresponding to 55 possible comparisons showed that about 95% of the values were significant as Chi squares values. The eleven cotton parental genotypes evaluated in this study were grouped into five major clusters by using hierarchical clustering method on the basis of dissimilarity among parents and contribution of evaluated characters. The inter cluster distance was higher than the intra cluster indicating wide genetic divergent among the genotypes. The female parents Kar2, Suvin, Giza89*p s6 and Giza94 grouped at three wide clusters and divergent distance from each others. The extra-long varieties Giza 96, Giza 93and Giza 92 grouped at the same cluster and closely related with Giza 45 (cluster5) and divergent distance with the other groups. The male parents Giza 85, Giza90 and the female Kar2 grouped at the same cluster (1) and characterized as a good combiner for earliness index. The Egyptian variety Giza94 and the Indian genotype Suvin formed unique two groups (clusters 2 and 4) and pose most genes which controlling general combining ability for yield traits. The 36 genotypes were grouped into 12 major clusters based on relative dissimilarity among genotypes. The distribution of parental genotypes and their F1 heterozygous in dendrogram reflects a broad parallelism between divergence distance, general and specific combining ability. Parents for hybridization could be selected based on large inter cluster distance to isolate useful recombinants through segregates

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Background Heterosis has been extensively utilized in different crops and made a significant contribution to global food security. Genetic distance (GD) is one of the valuable criteria for selecting parents in hybrid breeding. The objectives of this study were to estimate the GD between parents using both simple sequence repeat (SSR) markers and single nucleotide polymorphism (SNP) markers and to investigate the efficiency of the prediction of hybrid performance based on GD. The experiment comprised of four male parents, 282 female parents and 1128 F1, derived from NCII mating scheme. The hybrids, their parents and two check cultivars were evaluated for two years. Performance of F1, mid-parent heterosis (MPH), and best parent heterosis (BPH) were evaluated for ten agronomic and fiber quality traits, including plant height, boll weight, boll number, lint percentage, fiber length, fiber strength, fiber uniformity, fiber elongation ratio, micronaire, and spinning consistent index. Results Heterosis was observed in all hybrids and, the traits like plant height, boll number, boll weight and lint percentage exhibited higher heterosis than the fiber quality traits. Correlations were significant between parental and F1 performances. The F1 performances between three hybrid sets (Elite×Elite, Exotic×Elite, and Historic×Elite) showed significant differences in eight traits, including boll number, lint percentage, fiber length, fiber strength, fiber uniformity, fiber elongation ratio, micronaire, and spinning consistent index. The correlation of the GD assessed by both SSR and SNP markers was significantly positive. The cluster analysis based on GD results estimated using SNP showed that all the female parents divided into five groups and the F1 performance between these five groups showed significant differences in four traits, including lint percentage, micronaire, fiber strength, and fiber elongation ratio. The correlation between GD and F1 performance, MPH and BPH were significant for lint percentage and micronaire. Conclusions Our results suggested that GD between parents could be helpful in heterosis prediction for certain traits. This study reveals that molecular marker analysis can serve as a basis for assigning germplasm into heterotic groups and to provide guidelines for parental selection in hybrid cotton breeding.

Cotton (Gossypium spp.) is a major source of fibre for the textile industry and naturally coloured cotton fibre does not require the use of synthetic dyes making it an eco‐friendly option for textile production. Coloured cotton cultivars are however associated with lower fibre yields and reduced lint quality. A greater understanding of the genetic mechanisms underlying fibre colouration will aid in the development of improved cultivars. The brown‐fibred Gossypium arboreum L. accession PI 615733 was identified from the United States Department of Agriculture germplasm collection and crossed with three white‐fibred accessions PI 529712, PI 529729 and PI 615740 to develop F₂ populations for genetic evaluation. Population data indicated a single dominant gene conferred the brown fibre phenotype. Variation in the intensity of fibre colouration was observed within populations. These data failed to support an incomplete dominance model suggesting genetic modifiers may also play a role in fibre colouration. Additionally, chimeras were frequently observed in the PI 615733 × PI 615740 population. These data will be useful to further characterize the brown fibre trait.