AIMC Topic: Cotton Fiber

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Analysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jan 24, 2025
Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic traits, such as fiber quality and flowering days, remains complex. While machine learning (ML) has shown great potential in uncovering the genetic archit...
Machine Learning Phenotype Genome-Wide Association Study Polymorphism, Single Nucleotide Flowers Cotton Fiber Gossypium Quantitative Trait Loci
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Employing response surface methodology (RSM) to improve methane production from cotton stalk.

Environmental science and pollution research international Dec 28, 2017
China is the largest cotton producer with the cotton output accounting for 25% of the total world's cotton production. A large quantity of cotton stalk (CS) waste is generated which is burned and causes environmental and ecological problems. This stu...
China Anaerobiosis Methane Bioreactors Cotton Fiber
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Cotton genotypes selection through artificial neural networks.

Genetics and molecular research : GMR Sep 27, 2017
Breeding programs currently use statistical analysis to assist in the identification of superior genotypes at various stages of a cultivar's development. Differently from these analyses, the computational intelligence approach has been little explore...
Neural Networks, Computer Genotype Models, Genetic Selection, Genetic Cotton Fiber Gossypium Quantitative Trait, Heritable Plant Breeding Selective Breeding
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