J Aylan-Parker’s scientific contributions

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Publications (1)

Optimising sampling techniques and estimating sampling variance of fleece quality attributes in alpacas
  • Article

April 2002

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284 Reads

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80 Citations

Small Ruminant Research

J Aylan-Parker

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Huacaya and Suri alpacas (n=120) of varying age, live weight (LWT) and sex (female, male) were selected randomly from four farms in southern Australia. At shearing, fleeces were divided into four components: saddle (S), neck (N), pieces (P; front and back legs, belly, apron) and the midside sample (MS). Components were weighed, sampled using the grid sampling technique and fleece attributes measured: clean washing yield (CWY), mean fibre diameter (MFD), coefficient of variation of the MFD (CV(D)), incidence of medullated fibres (Med), mean medullated fibre diameter (MedMFD) and coefficient of variation of the MedMFD (MedCV(D)). The MS and saddle grid sample (SGS) were used to create models to predict the fleece attribute of the total fleece (TF), saddle and neck fibre. For each fleece attribute MS had lower values than SGS and TF (P

Citations (1)

... In the analysis of the technological characteristics of Cha'cu llama fiber, both dehaired and no-dehaired, a completely randomized design (CRD) with a 4 × 3 × 2 factorial arrangement was employed. The factors considered were age groups (milk teeth, MT; two teeth, 2 T; four teeth, 4 T; and full teeth, FT), body region (shoulder (SH), mid-side area (MS), and rump (RU) (Lozano et al. 2023;Aylan-Parker and McGregor 2002), and fiber type (dehaired and no-dehaired). The response variables such as the variation coefficient of MDF (VCMDF), comfort factor (CF), and curvature index (CRV) were subjected to a trigonometric transformation (arcsine). ...

Reference:

Relationship between fiber quality and follicle density in Ch’aku llamas (Lama glama)
Optimising sampling techniques and estimating sampling variance of fleece quality attributes in alpacas
  • Citing Article

  • April 2002

Small Ruminant Research

J Aylan-Parker

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