The role of objective and subjective evaluation in the production and marketing of goats for meat

Objective and subjective evaluations of goats for meat production are related to important determinants of production and profitability. The most important attributes in assessment of goats for market are: live weight; body condition score; and the age of goats. As goats grow, their carcass and body organs increase in weight in proportion to the empty body weight. For farmers and field workers the linear regression approach for estimating carcass weight by measuring live weight is the most suitable as it accounts for 88 to 97% of the variation in carcass, offal and boneless meat weight. Live weight scales or heart girth tapes should be used and the risks and errors associated with these methods are summarized. The proportion of a live goat that is the carcass, known as dressing percentage, increases from 35% to about 50% as goats grow. The usefulness and errors associated with dressing percentage in field estimation are discussed. A valuable subjective method for estimating the nutritional status of goats is the use of body condition scoring as it accounts for 60 to 67% of the variation in live weight change, carcass weight and fat reserves of goats. A method for body condition scoring and a similar fat scoring system are explained. Body condition score is also associated with mortality risk and reproductive performance of goats. The number of permanent incisors in the lower jaw of goats is a method of estimating the age of goats but is biased by differences in live weights of goats. The value and role of ultrasound scanning the carcasses of goats is summarized. For the marketing of kid meat no permanent incisors should have erupted. Other useful practices for the successful marketing of goat meat are discussed including: knowing market specifications and chemical withholding periods; animal health; prevention of bruising; identification of goats; size of consignments; timeliness; provision of paperwork. A checklist is provided. The use of subjective and objective assessment techniques in evaluating goats for meat production will provide the best results. Where only subjective assessment techniques are available they will provide satisfactory performance provided the skills have been learnt and are applied.<br /

Variation in the whiteness and brightness of mohair associated with farm, season, and mohair attributes

This work aimed to quantify factors affecting the reflectance attributes of Australian white mohair sourced from five different farms and to evaluate the effect of season and year on mohair grown by goats of known genetic origin in a replicated study. For the season study the mohair was harvested every three months for two years. All goats and their fleeces were weighed. Mid-side samples were tested for fibre diameter attributes, clean washing yield (CWY), staple length (SL) and for tristimulus values X, Y, Z and Y-Z. For the farm study (n = 196), linear models, relating Y, Z and Y-Z were fitted to farm of origin and other objective measurements. For the season and year study (n = 176), data were analysed by ANOVA and then by linear analysis. The variation accounted for by farm alone was: X, 22%; Y, 24%; Z, 12%; Y-Z, 30% (P &lt; 0.001). Once farm had been taken into account, the regression models for X, Y and Z had similar significant terms: mean fibre diameter (MFD), CWY, SL and fibre diameter CV; and correlation coefficients (057&ndash;0.65). For Y-Z, in addition to farm only MFD was significant (P = 1.8 &times; 10&minus;9). While X, Y, Z and Y-Z were significantly associated with clean fleece weight (CFwt), CFwt was not significant in any final model. Season affected mohair Y (P = 2.5 &times; 10&minus;24), Z (P = 2.3 &times; 10&minus;20) and Y-Z (P = 6.8 &times; 10&minus;22). Autumn grown mohair had higher Y and Z, and summer grown mohair had lower Z than mohair grown in other seasons. This resulted in summer grown mohair having the highest Y-Z and winter grown mohair having the lowest Y-Z than mohair grown in other seasons. The differences between years in Y, Z and Y-Z were significant but not large. When Y, Z and Y-Z were modeled with season and other mohair attributes, MFD, CWY, CFwt, incidence of medullated fibre (Med) and sire were also significant terms. This model accounted for 62.1% of the variance. Over the range of Med (0.3&ndash;4.2%), Y-Z increased by 11 T units. Increasing CFwt 0.5 kg was associated with a decline in Y-Z of 7.5 T units. The variation in Y, Z and Y-Z associated with sire effects were respectively 2.66, 3.77, and 1.04 T units. In the farm and the season studies increasing MFD was associated with lower Y and Z and higher Y-Z. The extent of the differences in tristimulus values between seasons and years, were unlikely to be of commercial importance. The extent of the differences between farms, and to variations in MFD and Med were large enough to be of commercial importance. Clean mohair colour was artefactually biased by MFD

Reproduction management of fibre and meat goats

This Agriculture Note provides practical information about managing breeding goats on commercial farms. It discusses management practices that affect reproductive performance, fertility and mating during autumn. Where possible, examples of reproductive performance from goats farmed in Victoria are provided. Other Agriculture Notes discuss the grazing requirements for breeding does, and the effects of feeding on growth and meat production

Preparing meat goats for sale

Commercial marketing of meat goats involves identifying the market, correct husbandry and nutritional management, proper assessment of goats suitable for marketing and the correct preparation of goats prior to dispatch to the market. This article discusses the correct preparation of meat goats prior to dispatch to the identified market

Softness attributes of Australian cashmere

Cashmere is a luxury fibre regarded as being softer and more comfortable than other apparel fibres. Cashmere is rare. Total cashmere production represents less than 0.01% of the textile market. Processed cashmere is expensive. Specialised skills and equipment are required for processing cashmere. For such an expensive textile raw material, surprisingly little objective information has been published on measurable attributes of cashmere in the form used by spinners. This article discusses new information about the softness and other quality attributes of Australian cashmere. Comparisons are made between Australian cashmere and cashmere from traditional sources of supply