Effects of non-lint material on heritability estimates of cotton fiber length parameters

Morais, J. P. S.; Kelly, Brendan; Sayeed, Abu; Héquet, Eric

doi:10.1007/s10681-019-2536-9

Cited by 4 publications

(5 citation statements)

References 29 publications

(33 reference statements)

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“…The major causes of trash are crop management, harvest, and post-harvest processing such as ginning. The presence of trash in cotton fiber quality was reported to degrade the quality of HVI and AFIS length measurements [62]. The total (cnt/g), trash size, dust, trash (cnt/g), and VFM %variables are statistically insignificant across the treatments in both fields (Table 7).…”

Section: Information On Trash Parametermentioning

confidence: 94%

Effect of Controlled Defoliant Application on Cotton Fiber Quality

et al. 2023

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Cotton (Gossypium hirsutum L.) is an important industrial crop. It is a perennial crop and has indeterminate growth habit, however, in most parts of the United States, it is grown as an annual crop with the application of growth regulators. Defoliation is a major production practice influencing harvester efficiency, fiber trash content, cotton yield, and fiber quality. Currently, defoliant application is done by using a conventional boom sprayer and aerial spraying in which both systems spray chemicals horizontally downwards from the top of the canopy, which causes minimal chemical to reach at bottom canopy. However, for successful defoliation, each leaf must receive the defoliant as chemicals do not move within the plant. Thus, a new autonomous ground sprayer was developed using robotics and pulse width modulation, which can be run in between two rows covering the whole canopy of the plant. Field research was conducted to study the effect of three duty cycles (20%,40%, and 60%) on cotton fiber quality using autonomous spraying system. The result indicated that the defoliants could be applied safely at either of the three duty cycles without compromising most of the fiber quality parameters except for nep/gm, length (Ln), L (5%), SFC, trash content in field 1 and micronaire, nep size, length (Ln), L (5%), SFC, and fiber fineness in field 2 which were significant. However, application of 20% duty cycle will significantly reduce the chemical use therefore, 20% duty cycle could be a good choice for the autonomous cotton defoliation. The development of autonomous spraying technology would encourage the development of new sprayer industries and the unmanned ground vehicle industries, together with the need for the global development of an agricultural system with broad market prospects and brings about huge economic, social, and ecological benefits.

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Section: Information On Trash Parametermentioning

confidence: 94%

Effect of Controlled Defoliant Application on Cotton Fiber Quality

et al. 2023

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“…A sample with a greater quantity of shorter fibers deviates more from the straight line. While Figure 4 represents a theoretical extreme, it is important to note that in real samples, other factors such as trash, leaf, and seed coat fragments could influence the beard preparation and subsequent scanning [35,36] Therefore, if no other factors influence the HVI fiber beard scanning, then a fiber beard prepared from a mono-length fiber sample would produce a straight line (triangular fibrogram). However, cotton is naturally variable.…”

Section: Proposed Methods To Measure Cotton Fiber Length Uniformitymentioning

confidence: 99%

“…A sample with a greater quantity of shorter fibers deviates more from the straight line. While Figure 4 represents a theoretical extreme, it is important to note that in real samples, other factors such as trash, leaf, and seed coat fragments could influence the beard preparation and subsequent scanning [35,36] (Hertel, 1964;Krowicki and Thibodeaux, 1990;Morais et al, 2020). Furthermore, Turner et al discussed the occurrence of concavities in the HVI fibrogram due to the above-mentioned artifacts, as well as light interaction with the comb when the comb is near the sensors [27].…”

Section: Proposed Methods To Measure Cotton Fiber Length Uniformitymentioning

confidence: 99%

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

et al. 2023

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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. This knowledge would also help spinning mills to optimize their machine setup, which would improve yarn processing performance. Currently, the high volume instrument (HVI) is most commonly used to characterize the cotton fiber length variation. The HVI length measurement is based on the fibrogram principle. The HVI length measurement characterizes 2 points, 1.8% as the upper half mean length (UHML) and 7.8% span length as the mean length (ML) from the fibrogram, and reports UHML and uniformity index (UI). The ratio of ML to the UHML is used to calculate the UI and is expressed as a percentage. UI measurement does not represent the shorter fibers as the above two span lengths only represent the longest fibers within a sample. We propose to calculate the uniformity of the cotton fiber length using the complete fibrogram as an alternative. First, the area of the measured fibrogram curve is calculated. Second, the area of a theoretical mono-length fibrogram with a length equal to the maximum length of the fibers for the same sample is calculated. Finally, we calculate a new length uniformity as the ratio of the measured fibrogram area to the mono-length fibrogram area expressed as a percentage. Based on the results obtained using a set of 991 commercial samples, the new length uniformity shows promise. We also applied this new length uniformity to a set of 60 commercial-like samples and developed partial least square regression (PLSR) prediction models to predict yarn quality. The results obtained demonstrate that the new length uniformity predicts yarn quality better than the current UI.

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“…Fiber length is considered the premier fiber quality attribute because staple length is closely correlated with processing efficiency and the quality of yarn produced so cotton breeders work to improve it [18] and [20]. Accurate measurement of the short fiber content of a collection of fibers is dependent on the basic measurements of fiber length by any instrument under considerations.…”

Section: Introductionmentioning

confidence: 99%

Characterization of Egyptian Cotton Fiber Quality Using CCS

Shalaby¹,

Ebaido²,

Abd-El-Rahman³

2021

EJFOOD

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The purpose of the current study is to characterize Egyptian cotton using HVI and CCS measurements. The present investigation was carried out at two different locations: The Global Center for Cotton Testing Research in International Cotton Association (ICA) using HVI instrument in Germany and Egyptian and International Cotton Classification Center (EICCC), Cotton Research Institute (CRI), Agricultural Research Center (ARC) using CCS instrument in Egypt. Samples are sourced from standardized preparation stages to obtain more homogeneity. All samples were collected from 2018 and 2019 cotton growing seasons. The studied cotton fiber properties: upper half mean (UHM), uniformity index (UI %), short fiber index (SFI %), strength (FS) and elongation (E %) and micronaire reading (Mike) and maturity ratio (MR). The studied cotton varieties include long staple cotton varieties i.e., Giza 86 and Giza 95 and extra-long staple cotton varieties i.e., Giza 92 and Giza 93, in terms of basic Egyptian cotton grade Good (G). The results of HVI and CCS measurements were detected by using descriptive statistics such as measures of central tendency and dispersion, skewness, and kurtosis. The CCS measurements were more stable than HVI measurements. Confidence intervals of CCS measurements were close to each other compared to HVI measurements. For instance, in Giza 92, confidence interval of UHM was 32.00-32.32for HVI and 32.50-32.55for CCS, adding to confidence intervals for FS were 45.19-46.83for HVI and 46.99-47.17 for CCS. Meanwhile, confidence intervals for Mike were 3.04–3.21 for HVI and 3.12–3.14 for CCS. Basically, sample sizes of CCS were larger more than sample sizes of HVI so that results of CCS measurements were more homogenous than HVI measurements. Applying reliability analysis for consistent results in CCS and HVI measurements elaborated Cronbach's value were more efficient than using Cronbach's value if item deleted for both CCS and HVI. Cronbach's value of CCS measurements was more than HVI measurements and that due to the homogeneity of CCS samples compared to HVI samples.

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Effects of non-lint material on heritability estimates of cotton fiber length parameters

Cited by 4 publications

References 29 publications

Effect of Controlled Defoliant Application on Cotton Fiber Quality

Effect of Controlled Defoliant Application on Cotton Fiber Quality

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

Characterization of Egyptian Cotton Fiber Quality Using CCS

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