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All about beagles
\"Full-color photographs and simple text provide a brief introduction to beagles\"--Provided by publisher.
Book
encyclopedia of historic and endangered livestock and poultry breeds
The hardy, multipurpose Dominique chickens that came to the New World with the Pilgrims and later traveled in pioneer saddlebags to help settle the West were once too numerous to count; by 1990 a mere 500 hens survived. This is but a single example of the diminishing diversity of farm animals: half of once-common livestock breeds are endangered, others are already extinct.The need to preserve farm animal diversity is increasingly urgent, says the author of this definitive book on endangered breeds of livestock and poultry. Farmyard animals may hold critical keys for our survival, Jan Dohner warns, and with each extinction, genetic traits of potentially vital importance to our agricultural future or to medical progress are forever lost.This comprehensive book features:• complete information on the history, characteristics, qualities, and traits of 138 endangered livestock breeds (goats, sheep, swine, cattle, horses, other equines) and 53 poultry breeds (chickens, turkeys, ducks, geese)• where these breeds may be seen today• the degree of rarity of each breed in the United States, United Kingdom, and Canada• information on feral livestock populations• 160 color photographs and over 80 black and white photos and historical illustrations
eBook
A Study on the Detection of Cattle in UAV Images Using Deep Learning
Unmanned aerial vehicles (UAVs) are being increasingly viewed as valuable tools to aid the management of farms. This kind of technology can be particularly useful in the context of extensive cattle farming, as production areas tend to be expansive and animals tend to be more loosely monitored. With the advent of deep learning, and convolutional neural networks (CNNs) in particular, extracting relevant information from aerial images has become more effective. Despite the technological advancements in drone, imaging and machine learning technologies, the application of UAVs for cattle monitoring is far from being thoroughly studied, with many research gaps still remaining. In this context, the objectives of this study were threefold: (1) to determine the highest possible accuracy that could be achieved in the detection of animals of the Canchim breed, which is visually similar to the Nelore breed (Bos taurus indicus); (2) to determine the ideal ground sample distance (GSD) for animal detection; (3) to determine the most accurate CNN architecture for this specific problem. The experiments involved 1853 images containing 8629 samples of animals, and 15 different CNN architectures were tested. A total of 900 models were trained (15 CNN architectures × 3 spacial resolutions × 2 datasets × 10-fold cross validation), allowing for a deep analysis of the several aspects that impact the detection of cattle using aerial images captured using UAVs. Results revealed that many CNN architectures are robust enough to reliably detect animals in aerial images even under far from ideal conditions, indicating the viability of using UAVs for cattle monitoring.
Journal Article
Poor Louie
Louie can sense that his charmed Chihuahua life is about to change as his parents prepare to welcome a new addition to the family.
Book
Genetic variation and population structure of Italian native sheep breeds undergoing in situ conservation
The genetic variability and presence of population substructures in 4 native Northern Italian sheep breeds, Alpagota, Brogna, Foza, and Lamon, undergoing in situ conservation, and 1 widespread Italian breed, Bergamasca, were studied by investigating 19 microsatellite markers. The breeds showed considerable genetic variability in terms of number of alleles and heterozygosity, with the exception of Alpagota, which was the least variable (0.607). Nevertheless, a significant deficit of heterozygotes was observed in each breed due to rather increased levels of inbreeding or to the presence of population substructures, probably caused by increased genetic variation in the founder populations. The analyses evidenced clear genetic differentiation (FST = 0.085), reduced levels of admixture, and presence of private alleles among the breeds, confirming their genetic uniqueness. In particular, according to Reynolds genetic distances, Alpagota was the most differentiated, perhaps because it had been bred mostly in a rather isolated area. Loss of any of the investigated breeds would result in a loss of genetic diversity ranging from 0.5 to 1.6% of the total observed gene diversity. Results supported the decision to safeguard these breeds as important reservoirs of genetic diversity and suggested breeding and mating practices to maintain variability and to overcome within-breed substructures.
Journal Article
Little Lucy goes to school
When Mom and Lucy the beagle go to school to deliver Bobby's forgotten lunch, Lucy gets loose.
Book
Pedigree analysis of seven small French sheep populations and implications for the management of rare breeds
Pedigree information was analyzed in 7 small populations of sheep raised in France (Bleu du Maine, Charmoise, Cotentin, on-farm Romanov, Romanov ex situ in vivo, Roussin de la Hague, Solognote) to estimate their genetic variability. The pedigree information for each breed, estimated by the number of equivalent generations traced, ranged from rather poor (4.6) to very good (10.5) when compared with other studies. On the basis of probabilities of gene origin, the effective number of ancestors ranged from 17 (on-farm Romanov breed) to 59 (Bleu du Maine). On the basis of the rate of inbreeding, the realized effective size was found to range from 65 (Romanov breed ex situ) to 231 (Bleu du Maine). The average kinship coefficients between rams from which semen doses are available in the French National Cryobank and the active ram and ewe populations were also computed. Results found in each breed were analyzed by taking into consideration the demographic evolution of the breeds, their management practices, and the use of cryopreservation as a way to preserve genetic variability. It appeared quite clear that, in populations in which AI with frozen semen is seldom used, factors that mainly affect the genetic variability are the female-to-male ratio, which should be as small as possible, and the number of reproducing female offspring by males, which should be as balanced as possible. Finally, our work showed that all populations under study have fairly good genetic variability in comparison with other species, despite their scarce numbers.
Journal Article
Little Lucy
When Lucy the beagle goes to a lake with Bobby and his family, she does not want to go in the water and, instead, has an adventure on her own.
BOOK
Comparison of Four Italian Beef Cattle Breeds by Means of Functional Genes
Piemontese, Chianina, Marchigiana and Romagnola are the main Italian beef breeds, and the quality of their products is largely recognised all over the world. Here, 18 single nucleotide polymorphisms (SNPs) in 12 candidate genes involved on meat traits were investigated on 1055 candidates for selection in order to analyse the within- and between-breed variability with a functional marker approach. Three SNPs (GDF8-3, GH and NPY-3) were monomorphic and most of the polymorphic SNPs showed an allele distribution quite similar in the four breeds. High variability at LEP-2, LEP-3 and LEPR markers was detected across breeds and the analysis of the relationship between genetic differentiation and heterozygosity indicated significant deviation from a neutral-equilibrium model for LEP-2. The highest pairwise fixation index values (0.1189 to 0.1877) were obtained for the comparisons of Piemontese with the other breeds, while the lowest value (0.0296) was observed in Chianina and Marchigiana. The Piemontese differentiation from the other breeds could be due to its geographical isolation and selection targets. The results for breed assignment follows the genetic differentiation, in fact, Piemontese had the highest percentage of correct assignment (87.6), while Marchigiana had the lowest (47.5). These findings suggest that functional markers can be more suitable than neutral markers in discriminating breeds similar in morphology if selection plays some role in their differentiation.
Journal Article