Results 1 to 10 of about 13,200 (141)

Genome-wide association studies of bundle and single fiber length traits reveal the genetic basis of within-sample variation in upland cotton fiber length [PDF]

open access: yesFrontiers in Plant Science
Within-sample variation in cotton fiber length is a major factor influencing the production and quality of yarns. The textile industry has been searching for approaches of improving the long fiber fraction and minimizing the short fiber fraction within a
Hee Jin Kim   +11 more
doaj   +3 more sources

Fourier Transform Infrared (FT-IR) Spectroscopy and Simple Algorithm Analysis for Rapid and Non-Destructive Assessment of Cotton Fiber Maturity and Crystallinity for Plant Mapping [PDF]

open access: yesSensors
Information on boll distribution within a cotton plant is critical to evaluate the adaptation and response of cotton plants to environmental and biotic stress in cotton production. Cotton researchers have applied available conventional fiber measurements,
Hee-Jin Kim, Yongliang Liu, Linghe Zeng
doaj   +3 more sources

An Approach for Obtaining Stable, Reproducible, and Accurate Fibrogram Measurements from High Volume Instruments

open access: yesAgronomy, 2022
Fiber length is a crucial property throughout many textile processing steps. The high volume instrument (HVI) is the most commonly used tool to assess the properties of cotton fibers.
Addisu Ferede Tesema   +4 more
doaj   +2 more sources

Use of Span Lengths Extracted from the HVI Fibrogram to Predict Yarn Quality

open access: yesJournal of Natural Fibers, 2023
Cotton fiber properties play a significant role in determining the quality of yarns and fabrics. Information on fiber length distribution is crucial throughout many textile processing steps to transform fibers into yarn.
Addisu Ferede Tesema   +4 more
doaj   +2 more sources

Calibration of HVI cotton elongation measurements

open access: yesJournal of Cotton Research, 2020
Background The strength of cotton fiber has been extensively studied and significant improvements in fiber strength have been made, but fiber elongation has largely been ignored, despite it contributing to the energy needed to break fibers, which affects
Christopher D. DELHOM   +4 more
doaj   +3 more sources

A New Method to Calculate Cotton Fiber Length Uniformity Using the HVI Fibrogram

open access: yesAgronomy, 2023
Knowledge of cotton fiber length uniformity is important for the cotton industry. The accurate and reliable measurement of fiber length uniformity would allow cotton breeders to release new cotton varieties with improved fiber length variation.
Md Abu Sayeed   +6 more
doaj   +2 more sources

Investigation of a Multivariate Correction Method for HVI Fibrogram Measurements

open access: yesAgronomy, 2022
Cotton fiber length parameters are used across the cotton industry to select elite germplasm, purchase cotton bales and manage mill throughput. The High Volume Instrument (HVI) provides the most commonly used fiber length parameters, upper half mean ...
Md Abu Sayeed   +3 more
doaj   +2 more sources

A Simplified Microscopy Technique to Rapidly Characterize Individual Fiber Traits in Cotton [PDF]

open access: yesMethods and Protocols, 2023
Recent advances in phenotyping techniques have substantially improved the ability to mitigate type-II errors typically associated with high variance in phenotyping data sets.
Quinn LaFave   +5 more
doaj   +2 more sources

Are yarn quality prediction tools useful in the breeding of high yielding and better fibre quality cotton (Gossypium hirsutum L.)?

open access: yesJournal of Cotton Research, 2023
Background The approach of directly testing yarn quality to define fibre quality breeding objectives and progress the selection is attractive but difficult when considering the need for time and labour.
Shiming Liu   +2 more
doaj   +2 more sources

Cotton Fiber Micronaire and Relations to Fiber HVI and AFIS Qualities Between Deltapine® and PhytoGen Upland Varieties

open access: yesFibers
Cotton micronaire (MIC) is an essential fiber quality index that characterizes both fiber maturity and fineness components. This study compared how MIC affects the fiber high volume instrument (HVI) and advanced fiber information system (AFIS) qualities ...
Yongliang Liu, Doug J. Hinchliffe
doaj   +2 more sources

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