187 resultados para Liaoning cashmere goats


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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.

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The live weight of farm animals is strongly associated with production, profitability, management requirements and animal survival (Table 1). The mature live weight of farm animals and of goats is positively associated with their potential to grow rapidly. Live weight is directly related to the nutrient requirements of goats, irrespective of their productive state.

For Angora goats in particular, live weight is associated with mohair production and mohair fibre diameter, age at puberty, reproductive performance and ovulation rate, carcass attributes, meat production and sale value at the end of their productive life. Live weight also affects the timing of the eruption of incisor teeth.

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The presence of even a small amount of medullated fibre, in otherwise high quality mohair, may have a pronounced adverse effect on its value and end-use potential. However, there is considerable confusion about the effects, if any, of environmental variables and management upon the incidence of medullated fibres in mohair. This study examined how the incidence of medullated fibres (Med, % by number) is related to the fleece-free live weight (FFLwt) of Angora goats of different genetic origins over their lifetime, and how the relationship varies with other lifetime factors. Measurements were made over 11 shearing periods of 6 months, on a population of Angora goats representing the current range and diversity of genetic origins in Australia, including South African, Texan and interbred admixtures of these and Australian sources. Records of breed, sire, dam, date of birth, dam age, birth weight, birth parity, weaning weight, live weight, fleece growth and fleece quality were taken for castrated males (wethers) (n = 94 animals). A restricted maximum likelihood (REML) model was developed for log10(Med + 1), which allowed the observations of the same animal at different ages to be correlated in an unstructured manner. Med varied between 0.1% and 4.3%. The median average FFLwt during a shearing interval increased from 15 kg at 1 year old to 59 kg at 6 years old. Generally, within each shearing interval, Med increased with increasing average FFLwt. However, the size and shape of the relationship differed greatly between shearing ages. For example, at 3.5 years of age Med increased from about 1.1% at an average FFLwt of 26 kg to 2.6% at 50 kg, whilst at 5.0 years of age Med only changed from 1.4% at 32 kg to 1.6% at 56 kg. Goats with mixed genetic parentage showed an increase in Med at some shearings, particularly at younger ages. Variation in animal nutrition, as measured by live weight change during shearing periods, did not affect Med. The results supplement our earlier findings that mohair mean fibre diameter and clean mohair fleece weight, but not staple length, are greater in larger Angora goats. Live weight needs to be taken into account in genetic evaluation of the incidence of medullated fibres. We conclude that any advantage in handling fewer but larger Angora goats rather than more but smaller goats will come at the detriment of producing lower quality mohair, both in terms of increased Med and mean fibre diameter.

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Previous work has shown that, within an Angora goat flock, clean fleece weight is proportional to fleece-free liveweight (FFLwt)2/3 and for goats of the same age and cohort, the mean mohair fibre diameter is proportional to FFLwt1/3. This indicates that fibre length might not be related to the size of animals. This study examines how mohair staple length (SL) is related to FFLwt of Angora goats of different genetic origins over their lifetime and how the relationship varies with other lifetime factors. Measurements were made over 11 shearing periods on a population of Angora goats representing the current range and diversity of genetic origins in Australia, including South African, Texan and interbred admixtures of these and Australian sources. Records of breed, sire, dam, date of birth, dam age, birthweight, birth parity, weaning weight, liveweight, fleece growth and fleece quality were taken for castrated males (wethers) (n = 94 animals). FFLwt were determined for each goat at shearing time by subtracting the greasy fleece weight from the liveweight recorded immediately before shearing. The average of the FFLwt at the start of the period and the FFLWt at the end of the period was calculated. Liveweight change (LwtCh) was the change in FFLwt over the period between shearings. A restricted maximum likelihood model was developed for SL, which allowed the observations of the same animal at different ages to be correlated in an unstructured manner. Average SL differed from ~12.0 to ~14.5 cm, depending on age. There were no consistent effects of season. At any age, an increase of 10 kg LwtCh between animals results in about a 0.34 (s.e. = 0.087) cm increase in SL. There was no evidence of an effect of FFLwt on SL. The results confirm our hypothesis that within a single age cohort of Angora goats, there is very little, if any, relationship between the liveweight and SL of individual animals. This implies that the biological determinants of size of fibres related to cross-sectional area are substantially different to the size determinants of fibre length.

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Softness of apparel textiles is a major attribute sought by consumers. There is surprisingly little objective information on the softness properties of rare animal fibres, particularly cashmere, alpaca and mohair. Samples of these and other rare animal fibres from different origins of production and processors were objectively measured for fibre diameter, fibre curvature (FC, crimp) and resistance to compression (softness). While there were curvilinear responses of resistance to compression to FC and to mean fibre diameter, FC accounted for much more of the variance in resistance to compression. Fibre type was an important determinant of resistance to compression. The softest fibres were alpaca, mohair and cashgora and all of the fibres measured were softer than most Merino wool. Quivet, llama, camel, guanaco, vicuña, yak wool, bison wool, dehaired cow down and Angora rabbit were also differentiated from alpaca, mohair and cashmere. There were important differences in the softness and FC of cashmere from different origins with cashmere from newer origins of production (Australia, New Zealand and USA) having lower resistance to compression than cashmere from traditional sources of China and Iran. Cashmere from different origins was differentiated on the basis of resistance to compression, FC and fibre diameter. Cashgora was differentiated from cashmere by having a lower FC and lower resistance to compression. There were minority effects of colour and fibre diameter variation on resistance to compression of cashmere. The implications of these findings for the identification and use of softer raw materials are discussed.

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