Using nationwide survey data, we investigate U.S. meat goat producer preferences and willingness to pay for meat goat breeding stock attributes. Discrete choice experiments were employed, and mixed logit and latent class models were used for analysis. Results showed that producers preferred animals that were highly masculine/feminine, had good structure and soundness, and were of the Boer breed, whereas they preferred fewer animals that were older, of Kiko and Spanish breeds, and priced higher. Significant preference heterogeneity was found among the respondents. Larger-scale producers had greater preference for high masculinity/femininity, good structure and soundness, and Boer bucks.

Adoption of advanced breeding technologies and management practices (BTMP) in U.S. meat goat production and their impact were examined. Adopters generally had larger-scale operations, used rotational grazing and/or dry lot systems, and sold larger percentages of animals for breeding and show purposes. Farmer demographics and farm variables also influenced adoption. Complementarity of adoption was found—adopters of one BTMP tended to adopt other BTMPs. Measures of productivity and profitability were not affected by adoption. Goat breed, farmer experience, production system used, and specialization influenced productivity, and farm size had the greatest influence on enterprise profitability.

Meat goat enterprise efficiency was estimated using an input distance function (IDF) by applying stochastic production frontier techniques for the southeastern U.S. region. We found increasing returns to scale and scope economies for southeastern U.S. meat goat enterprises. Mean technical efficiency was 0.81. Our results suggest southeastern U.S. meat goat enterprises can be scale efficient if their size of operation is >~60 goats or >40 breeding does. Cost and IDF analyses show input expenses decreased substantially with increasing scale of operations in southeastern U.S. meat goat production. Empirical Monte Carlo simulation techniques show consistency of small-sample properties for the IDF.

Meat goat producers were queried to determine subjective estimates of premiums they would receive for slaughter kids of various selection classes. Market-based predicted premium estimates were obtained via regression using published U.S. Department of Agriculture Agricultural Marketing Service data. Subjective versus market-based predicted premium estimates were compared to determine producer accuracy in predicting premiums. Producers tended to overestimate quality premiums. Producers more accurate in their estimates tended to be larger-scale and older and to hold college degrees, sell more slaughter goats via auction, and manage their goats more intensively. Results contribute to the literature on producer accuracy in predicting prices.

Casein genes have been proved to have an influence on milk properties, and are in addition appropriate for phylogeny studies. A large number of casein polymorphisms exist in goats, making their analysis quite complex. The four casein loci were analyzed by molecular techniques for genetic polymorphism detection in the two dairy goat breeds Bunte Deutsche Edelziege (BDE; n=96), Weiße Deutsche Edelziege (WDE; n=91), and the meat goat breed Buren (n=75). Of the 35 analyzed alleles, 18 were found in BDE, and 17 in Buren goats and WDE. In addition, a new allele was identified at the CSN1S1 locus in the BDE, showing a frequency of 0·05. This variant, named CSN1S1*A′, is characterized by a t→c transversion in intron 9. Linkage disequilibrium was found at the casein haplotype in all three breeds. A total of 30 haplotypes showed frequencies higher than 0·01. In the Buren breed only one haplotype showed a frequency higher than 0·1. The ancestral haplotype B-A-A-B (in the order: CSN1S1-CSN2-CSN1S2-CSN3) occurred in all three breeds, showing a very high frequency (>0·8) in the Buren.