Objective Measurement of Wool Fibre Fineness Using 2-D Gabor Filter

She, Fenghua; Xia, Fenglin; Zhang, WS; Kong, Lingxue

doi:10.1108/rjta-09-03-2005-b004

Cited by 2 publications

(2 citation statements)

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“…Fine and strong wools are a reference to wool fibre diameter, which is one of the most significant and important parameters that determines how the fibre is used (Wang and Wang, 2004;She et al, 2005;Pawson and Perkins, 2013;Ullah, 2019). The fineness of wool depends on fibre diameter (Allafi et al, 2020).…”

Section: Rjtamentioning

confidence: 99%

An analysis of the wool characteristics that determine wool price in South Africa

Zenda,

Malan,

Geyer

2023

RJTA

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Purpose South Africa’s wool industry plays an important role in the agricultural sector. The wool industry provides a valuable source of income for farmers who practice sustainable farming practices. However, wool farmers face numerous challenges, such as wool contamination, dirty wool and producing good-quality wool. Good-quality wool is determined by fibre diameter, clean yield, vegetable matter and staple length. This study aims to address these challenges. Design/methodology/approach A multiple regression analysis of price (R/kg) of White wool and Merino wool was applied to four variables fibre diameter: vegetable matter, clean yield and staple length. The analysis was based on the data for the 2009–2019 data from Cape Wools auctions. Findings Fibre diameter, clean yield and staple length, with exception of vegetable matter, made a statistically significant contribution to the determination of wool price after all other independent variables were controlled for (p < 0.05). A one-unit (micron) increase in fibre diameter resulted in a 0.404-unit decrease in wool price (R/kg). A one-unit (mm) increase in staple length resulted in a 0.022-unit increase in wool price (R/kg). There was no statistically significant association between vegetable matter and wool price. A one-unit increase in clean yield was associated with a 0.111-unit increase in wool price (R/kg). Research limitations/implications Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool. Practical implications Since wool fleeces consist of the largest portion of wool shorn from sheep, it is important for wool farmers to focus on wool with low fibre diameter, high clean yield percentage, low percentage of vegetable matter content and good length of the wool. Social implications In a developing country such as South Africa, this study is important for the following reason. It is understanding the wool characteristics that have the most significance influence on the determination of wool price for Merino wool and White wool might effectively help the wool farmers to adapt their production systems to improve the wool characteristics that determine wool price. Originality/value This study identified a need for a study to be conducted on all wool classes.

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Section: Rjtamentioning

confidence: 99%

An analysis of the wool characteristics that determine wool price in South Africa

Zenda,

Malan,

Geyer

2023

RJTA

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“…Meanwhile, the large-scale shortage of high-quality fine wool has made China’s high-grade wool textile industry extremely dependent on the international wool market [ 2 , 4 , 6 – 9 ]. In the past twenty years, a substantial revolution in the quality of the world’s wool has occurred, mainly in the wool fineness from “coarse” to “fine”; the finer, the more valuable [ 10 – 12 ]. For now, China has been maintaining about 30 million fine-wool sheep with wool fiber diameter of 21.6–25.0 μm [ 13 – 15 ], but because past improvements were made to increase wool production (clean wool per sheep is only 1/4 of that of Australia, less than 1 kg, in 1986 [ 14 ]) rather than wool fiber diameter [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Construction of a high-density genetic map and QTL localization of body weight and wool production related traits in Alpine Merino sheep based on WGR

Zhang,

Lu,

Guo

et al. 2024

BMC Genomics

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Background The Alpine Merino is a new breed of fine-wool sheep adapted to the cold and arid climate of the plateau in the world. It has been popularized in Northwest China due to its superior adaptability as well as excellent production performance. Those traits related to body weight, wool yield, and wool fiber characteristics, which are economically essential traits in Alpine Merino sheep, are controlled by QTL (Quantitative Trait Loci). Therefore, the identification of QTL and genetic markers for these key economic traits is a critical step in establishing a MAS (Marker-Assisted Selection) breeding program. Results In this study, we constructed the high-density genetic linkage map of Alpine Merino sheep by sequencing 110 F1 generation individuals using WGR (Whole Genome Resequencing) technology. 14,942 SNPs (Single Nucleotide Polymorphism) were identified and genotyped. The map spanned 2,697.86 cM, with an average genetic marker interval of 1.44 cM. A total of 1,871 high-quality SNP markers were distributed across 27 linkage groups, with an average of 69 markers per LG (Linkage Group). Among them, the smallest genetic distance is 19.62 cM for LG2, while the largest is 237.19 cM for LG19. The average genetic distance between markers in LGs ranged from 0.24 cM (LG2) to 3.57 cM (LG17). The marker density in the LGs ranged from LG14 (39 markers) to LG1 (150 markers). Conclusions The first genetic map of Alpine Merino sheep we constructed included 14,942 SNPs, while 46 QTLs associated with body weight, wool yield and wool fiber traits were identified, laying the foundation for genetic studies and molecular marker-assisted breeding. Notably, there were QTL intervals for overlapping traits on LG4 and LG8, providing potential opportunities for multi-trait co-breeding and further theoretical support for selection and breeding of ultra-fine and meaty Alpine Merino sheep.

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Objective Measurement of Wool Fibre Fineness Using 2-D Gabor Filter

Cited by 2 publications

References 4 publications

An analysis of the wool characteristics that determine wool price in South Africa

An analysis of the wool characteristics that determine wool price in South Africa

Construction of a high-density genetic map and QTL localization of body weight and wool production related traits in Alpine Merino sheep based on WGR

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