Quality of cotton fiber and its relationship with meteorological conditions
1 Applied Meteorology, Agricultural Engineering Department, Federal University of Viçosa (UFV), Viçosa, MG, Brazil.
2 Agricultural Systems Engineering, Luiz de Queiroz Agriculture College, São Paulo University (USP), Piracicaba, SP, Brazil.
3 Agricultural Engineering, Agricultural Engineering Department, Federal University of Viçosa, Viçosa (UFV), MG, Brazil.
Global Journal of Engineering and Technology Advances, 2023, 15(02), 033–051.
Article DOI: 10.30574/gjeta.2023.15.2.0082
Publication history:
Received on 23 March 2023; revised on 03 May 2023; accepted on 06 May 2023
Abstract:
Cotton (Gossypium hirsutum L., variety latifolium Hutch) is produced by more than 60 countries and, despite the quality and multiplicity of its seeds use it is grown mainly for the production of fibers. The quality of the fiber can differ between different production environments, being a key factor in determining the price and quality of cotton destined for textile products. These differences in quality are mainly associated with cultivars and meteorological conditions, which influence the indicative parameters of fiber quality. The knowledge of the factors that condition the quality of the cotton fiber is important for the definition of the regions with potential for the production of superior quality fibers. Thus, as a way to subsidize the production of better quality cotton fibers, this work aimed to identify and classify the factors that interfere with the quality of the cotton fiber. Data from meteorological variables and cotton fiber quality indices of 32 Brazilian cultivars were submitted to Pearson's correlation and cluster analyses. These analyses were performed considering three phases of the cotton cycle: total cycle; last 100 days of the cycle; and last 50 days of the cycle. Finally, the results of correlation and clustering analysis were compared. In general, considering the total cotton cycle, it was possible to obtain better statistical correlations between the meteorological variables and the quality of the cotton fiber.
Keywords:
Gossypium hirsutum L.; Micronaire index; Pearson´s correlation; Clustering
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