Silicon Promotes Physiological Adjustments, Fiber Yield and Quality Improvement of Naturally Colored Cotton BRS Safira

References

• Abdelraheem, A., N. Esmaeili, M. O’Connell, and J. Zhang. 2019. Progress and perspective on drought and salt stress tolerance in cotton. Industrial Crops and Products 130:18–129. doi:10.1016/j.indcrop.2018.12.070.
   Web of Science ®Google Scholar
• Alkarkhi, A. F. M., and W. A. A. Alqaraghuli. 2020. Principal Components. In Applied Statistics for Environmental Science with, ed. A. F. M. Alkarkhi and W. A. A. Alqaraghuli, 133–49. R. London: Elsevier.
   Google Scholar
• Almeida, F. A. C., M. E. R. Araújo, O. R. R. F. Silva, J. F. Santos, and J. P. Gomes. 2011. Desenvolvimento e avaliação de descaroçador para o beneficiamento do algodão. Revista Brasileira De Engenharia Agrícola E Ambiental 15 (6):607–14. doi:10.1590/S1415-43662011000600011.
   Google Scholar
• Anwaar, S. A., S. Ali, S. Ali, W. Ishaque, M. Farid, M. A. Farooq, U. Najeeb, F. Abbas, and M. Sharif. 2015. Silicon (Si) alleviates cotton (Gossypium hirsutum L.) from zinc (Zn) toxicity stress by limiting Zn uptake and oxidative damage. Environmental Science and Pollution Research 22:3441-3450. doi:10.1007/s11356-014-3938-9
   Google Scholar
• Arnon, D. I. 1949. Copper enzymes in isolated chloroplasts: Polyphenoloxydase in beta vulgaris. Plant Physiology 24:1–15. doi:10.1104/pp.24.1.1.
   PubMed Web of Science ®Google Scholar
• Asha, R., M. L. Ahamed, D. R. Babu, and P. A. Kumar. 2013. Multivariate analysis in upland cotton (Gossypium hirsutum L.). Madras Agricultural Journal 100:333–35.
   Google Scholar
• Balaji Prabhu, B. V., and M. Dakshayini. 2020. An effective multiple linear regression-based forecasting model for demand-based constructive farming. International Journal of Web-Based Learning and Teaching Technologies 15:1–18. doi:10.4018/IJWLTT.2020040101.
   Google Scholar
• Barbosa, M. A., R. L. S. Ferraz, E. L. M. Coutinho, A. M. Coutinho Neto, M. S. Silva, A. Fernandes, and E. C. Rigobelo. 2019. Multivariate analysis and modeling of soil quality indicators in long-term management systems. Science of the Total Environment 657:457–65. doi:10.1016/j.scitotenv.2018.11.441.
   PubMed Web of Science ®Google Scholar
• Barros, T. C., R. M. Prado, C. G. Roque, M. V. Arf, and R. G. Vilela. 2019. Silicon and salicylic acid in the physiology and yield of cotton. Journal of Plant Nutrition 42 (5):458–65. doi:10.1080/01904167.2019.1567765.
   Web of Science ®Google Scholar
• Bezerra, M. V. C., B. B. Silva, B. G. Bezerra, V. P. Borges, and A. S. Oliveira. 2012. Evapotranspiração e coeficiente de cultura do algodoeiro irrigado a partir de imagens de sensores orbitais. Revista Ciência Agronômica 43:64–71. doi:10.1590/S1806-66902012000100008.
   Web of Science ®Google Scholar
• Boylston, E. K., J. J. Hebert, T. P. Hensarling, J. M. Bradow, and D. P. Thibodeaux. 1990. Role of silicon in developing cotton fibers. Journal of Plant Nutrition 13:131–48. doi:10.1080/01904169009364063.
   Web of Science ®Google Scholar
• Brito, G. G., V. Sofiatti, M. M. A. Lima, L. P. Carvalho, and J. L. Silva Filho. 2011. Physiological traits for drought phenotyping in cotton. Acta Scientiarum Agronomy 33:117–25. doi:10.4025/actasciagron.v33i1.9839.
   Web of Science ®Google Scholar
• Carvalho, L. P., F. P. Andrade, and J. L. Silva Filho. 2011. Cultivares de algodão colorido no Brasil. Revista Brasileira De Oleaginosas E Fibrosas 15:37–44.
   Google Scholar
• Ferraz, R. L. S., I. D. Magalhães, N. E. M. Beltrão, A. S. Melo, J. F. Brito Neto, and M. S. Rocha. 2015. Photosynthetic pigments, cell extrusion and relative leaf water contente of the castor bean under silicon and salinity. Revista Brasileira de Engenharia Agrícola e Ambiental 19:841-848. doi:10.1590/1807-1929/agriambi.v19n9p841-848
   Google Scholar
• Ferraz, R. L. S., M. A. Barbosa, I. D. Magalhães, A. S. Melo, M. Rocha, and P. S. Costa. 2017. Atributos qualitativos de sementes de algodoeiro hidrocondicionadas em soluções de silício. Científica (Jaboticabal) 45:85–94. doi:10.15361/1984-5529.2017v45n1p85-94.
   Google Scholar
• Ferraz, R. L. S., N. E. M. Beltrão, A. S. Melo, I. D. Magalhães, P. D. Fernandes, and M. Rocha. 2014. Troca gasosa e eficiência fotoquímica de cultivares de algodão sob aplicação foliar de silício. Semina 35:735–48. doi:10.5433/1679-0359.2014v35n2p735.
   Google Scholar
• Ferraz, R. L. S., P. S. Costa, I. D. Magalhães, A. S. Medeiros, P. R. A. Viegas, and A. S. Melo. 2021. Physiological adjustments, fiber yield and quality of colored cotton BRS topázio cultivar under leaf silicon spraying. Ciência E Agrotecnologia 45:e005721. doi:10.1590/1413-7054202145005721.
   Web of Science ®Google Scholar
• Fonseca, R. G., and J. C. F. Santana. 2002. Resultados de ensaio HVI e suas interpretações (ASTM D-4605). Circular Técnica 66:1–13.
   Google Scholar
• Günaydin, G. K., A. Yavas, O. Avinc, A. S. Soydan, S. Palamutcu, M. K. Şimşek, H. Dündar, M. Demirtaş, N. Özkan, and M. N. Kivilcim. 2019. Organic Cotton and Cotton Fiber Production in Turkey, Recent Developments. In Organic Cotton, ed. M. Gardetti and S. Muthu, 101–25. Singapore: (Textile Science and Clothing Technology), Springer.
   Google Scholar
• Hair, J. F., Jr., W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham. 2009. Análise multivariada de dados, 682. 6th ed. Porto Alegre: Bookman.
   Google Scholar
• Hidayat, T. R. S., and D. A. Sunarto. 2020. Developing of Indonesian colored cotton varieties to support sustainable traditional woven fabric industry. IOP Conf. Series: Earth and Environmental Science 418:e012073. doi:10.1088/1755-1315/418/1/012073.
   Google Scholar
• Hiscox, J. D., and G. F. Israelstam. 1979. A method for the extraction of chlorophyll from leaf tissue without maceration. Canadian Journal of Botany 57 (12):1332–34. doi:10.1139/b79-163.
   Google Scholar
• Hodson, M. J., P. J. White, A. Mead, and M. R. Broadley. 2005. Phylogenetic variation in the Silicon composition of plants. Annals of Botany 96 (6):1027–46. doi:10.1093/aob/mci255.
   PubMed Web of Science ®Google Scholar
• Hussein, F., M. Janat, and A. Yakoub. 2011. Assessment of yield and water use effi ciency of drip-irrigated cotton (gossypium hirsutum L.) as aff ected by defi cit irrigation. Turkish Journal of Agriculture and Forestry 35:611–21.
   Web of Science ®Google Scholar
• Kaiser, H. F. 1960. The application of electronic computers to factor analysis. Educational and Psychological Measurement 20 (1):141–51. doi:10.1177/001316446002000116.
   Web of Science ®Google Scholar
• Khaliq, A., S. Ali, A. Hameed, M. A. Farooq, M. Farid, M. B. Shakoor, K. Mahmood, W. Ishaque, and M. Rizwan. 2016. Silicon alleviates nickel toxicity in cotton seedlings through enhancing growth, photosynthesis, and suppressing Ni uptake and oxidative stress. Archives of Agronomy and Soil Science 62 (5):633–47. doi:10.1080/03650340.2015.1073263.
   Web of Science ®Google Scholar
• Khan, A., S. Bilal, A. L. Khan, M. Imran, A. Al-Harrasi, A. Al-Rawahi, and I. J. Lee. 2020. Silicon-mediated alleviation of combined salinity and cadmium stress in date palm (phoenix dactylifera L.) by regulating physio-hormonal alteration. Ecotoxicology and Environmental Safety 188:e109885. doi:10.1016/j.ecoenv.2019.109885.
   PubMed Web of Science ®Google Scholar
• Kim, Y. H., A. L. Khan, M. Waqas, and I. J. Lee. 2017. Silicon regulates antioxidant activities of crop plants under abiotic-induced oxidative stress: A review. Plant Science 8:1–7. doi:10.3389/fpls.2017.00510.
   PubMed Web of Science ®Google Scholar
• Kochanová, Z., K. Jasková, B. Sedláková, and M. Luxová. 2014. Silicon improves salinity tolerance and affects ammonia assimilation in maize roots. Biologia 69 (9):1164–71. doi:10.2478/s11756-014-0411-7.
   Web of Science ®Google Scholar
• Lima, J. J. 2018. Classificação do algodão em pluma. In Manual de Qualidade da Fibra da AMPA, ed. J. L. Belot, 58–115. Cuiabá:IMAmt.
   Google Scholar
• Ma, J. F., N. Yamaji, N. Mitani, K. Tamai, S. Konishi, T. Fujiwara, M. Katsuhara, and M. Yano. 2007. An efflux transporter of silicon in rice. Nature 448 (7150):209–12. doi:10.1038/nature05964.
   PubMed Web of Science ®Google Scholar
• Maksimovic, J. D., J. Bogdanovic, V. Maksimovic, and M. Nikolic. 2007. Silicon modulates the metabolism and utilization of phenolic compounds in cucumber (cucumis sativus L.) grown at excess manganese. Journal of Plant Nutrition and Soil Science 170 (6):739–44. doi:10.1002/jpln.200700101.
   Google Scholar
• Malhotra, C., and R. T. Kapoor. 2019. Silicon: A Sustainable Tool in Abiotic Stress Tolerance in Plants. In Plant Abiotic Stress Tolerance, ed. M. Hasanuzzaman, K. Hakeem, K. Nahar, and H. Alharby, 333–56. Cham: Springer.
   Google Scholar
• Morita, A. M., C. C. S. Moore, A. R. Nogueira, L. Kulay, and M. A. S. S. Ravagnani. 2020. Assessment of potential alternatives for improving environmental trouser jeans manufacturing performance in Brazil. Journal of Cleaner Production 247:e119156. doi:10.1016/j.jclepro.2019.119156.
   Web of Science ®Google Scholar
• Nazir, A., J. Farooq, A. Mahmood, M. Shahid, and M. Riaz. 2013. Estimation of genetic diversity for CLCuV, earliness and fiber quality traits using various statistical procedures in diferente crosses of gossypium hirsutum L. Vestnik OrelGAU 4:1–8.
   Google Scholar
• Oliveira, J. C., G. M. R. Albuquerque, R. L. R. Mariano, D. M. F. Gondim, J. T. A. Oliveira, and E. B. Souza. 2012. Reduction of the severity of angular leaf spot of cotton mediated by silicone. Journal of Plant Pathology 94:297–304. doi:10.4454/JPP.FA.2012.044.
   Web of Science ®Google Scholar
• Price, J. B., X. Cui, T. A. Calamari, and R. G. Mcdaniel. 2001. Assessing the quality of four naturally colored cottons. Textile Research Journal 71 (11):993–99. doi:10.1177/004051750107101110.
   Web of Science ®Google Scholar
• Sawan, Z. M. 2013. Applied methods for studying the relationship between climatic factors and cotton production. Journal of Science and Research 4:37–54. doi:10.4236/as.2013.411A005.
   Google Scholar
• Sharif, I., S. Aleem, J. Farooq, M. Rizwan, A. Younas, G. Sarwar, and S. M. Chohan. 2019. Salinity stress in cotton: Effects, mechanism of tolerance and its management strategies. Physiology and Molecular Biology of Plants 25 (4):807–20. doi:10.1007/s12298-019-00676-2.
   PubMed Web of Science ®Google Scholar
• Sohrab, S. S. 2019. Development of Virus Resistance Transgenic Cotton Using Cotton Leaf Curl Virus Antisense ßC1 Gene. In Transgenic Cotton, Methods in Molecular Biology, ed. B. Zhang, 293–305. New York: Humana Press.
   Google Scholar
• Soil Survey Staff. 2014. Keys to soil taxonomy, 372. 12th ed. Washington, DC: United States Department of Agriculture, Natural Resources Conservation Service.
   Google Scholar
• Sun, H., M. Meng, Z. Yan, Z. Lin, X. Nie, and X. Yang. 2019. Genome-wide association mapping of stress-tolerance traits in cotton. The Crop Journal 7:77-88. doi:10.1016/j.cj.2018.11.002
   Google Scholar
• Tahmasebi, A., E. Ashrafi-Dehkordi, A. G. Shahriari, S. M. Mazloomi, and E. Ebrahimie. 2019. Integrative meta-analysis of transcriptomic responses to abiotic stress in cotton. Progress in Biophysics &molecular Biology 146:112–22. doi:10.1016/j.pbiomolbio.2019.02.005.
   PubMed Web of Science ®Google Scholar
• Wellburn, A. R. 1994. The spectral determination of chlorophylls a and b, as well as total carotenoids, using various solvents with spectrophotometers of different resolution. Journal of Plant Physiology 144 (3):307–13. doi:10.1016/S0176-1617(11)81192-2.
   Web of Science ®Google Scholar
• Xiang, Z., L. P. Pan, D. M. Wei, Z. Chen, W. C. Hua, C. Yuan, D. Z. Di, and C. D. Hua. 2019. Physiological characteristics associated with fiber development in two naturally colored cotton cultivars. Agronomy Journal 111 (3):1–8. doi:10.2134/agronj2018.03.0166.
   Web of Science ®Google Scholar
• Zargar, S. M., R. Mahajan, J. A. Bhat, M. Nazir, and R. Deshmukh, R. 2019. Role of silicon in plant stress tolerance: Opportunities to achieve a sustainable cropping system. 3 Biotech 9 (3):1–16. doi:10.1007/s13205-019-1613-z.
   PubMedGoogle Scholar