The English Jersey Cattle Society's herd book.

Publisher varies: v. 1-2, 1879-1880, Committee of Jersey Breeders of Gt. Brit.

Famous Jersey cattle. Serial historical magazine

Mode of access: Internet.

Experiments in breeding Jersey cattle at Beltsville : an analysis of the foundation cows and of the first outbred generation /

Cover title.

Beltsville growth standards for Jersey cattle /

Caption title.

Jersey bulletin.

Mode of access: Internet.

Digestion trial with two Jersey cows on full ration and on maintenance /

Mode of access: Internet.

The Ohio Jersey.

Description based on: 1923/1924.

Evaluation of mammary-gland development in Holstein and Jersey calves as a measure of potential producing capacity /

Cover title.

Butter tests of registered Jersey cows

Mode of access: Internet.

Polimorfismos genéticos da kappa-caseína e da beta-lactoglobulina e produção de leite em bovinos

As variantes gênicas da beta-lactoglobulina (β-LG) e da kappa-caseína (κ-CN) bovinas são associadas à produção, qualidade e características de processamento do leite. O objetivo deste trabalho foi analisar as frequências dos genótipos AA, AB e BB, por meio da técnica de PCR-RFLP, da β-LG e da κ-CN bovinas, e suas associações com a produção de leite (kg leite/dia) em bovinos das raças Girolanda, Holandesa e Jersey. Para a κ-CN, a frequência do genótipo AA foi maior nos animais das raças Holandesa (37%) e Girolanda (63%). Na raça Jersey, houve predomínio do genótipo BB (60%). Para a β-LG, o genótipo AB foi o mais encontrado nas raças Girolanda (54%) e Holandesa (58%), enquanto nos animais da raça Jersey houve predomínio do genótipo BB (45%). Houve associação do alelo B da κ-CN com maior produtividade leiteira nas raças Girolanda e Holandesa, e do alelo A da β-LG com maior produtividade de leite na raça Jersey. As variantes genéticas da κ-CN podem ser usadas como marcadores na seleção para a produtividade leiteira nas raças Girolanda e Holandesa. Para a raça Jersey, as variantes da β-LG seriam mais adequadas para essa seleção.

Report of cerebellar hypoplasia in three calves

Hereditary or acquired cerebellar hypoplasia (CH) is commonly diagnosed in Holstein, Guernsey, Shorthorn and Jersey cattle. Bovine viral diarrhea (BVD) has been associated to acquired CH due to viral infection during the second trimester of pregnancy. Stricken calf usually shows ataxia, hypermetria, opisthotonus, intentional tremor and wide-based stance when in standing position. Three newborn calves were referred to the FCAV/Unesp Veterinary Teaching Hospital because of neurological distress. The clinical presentation, similar in all cases, indicated CH. Two weeks later, clinical signs did not improve and euthanasia was performed. Macroscopic examination revealed a gelatinous serosanguineous fluid over the brain surface and within the cervical spinal canal. Histologically the cerebellum had disorganization of the internal granular layer and moderate disappearance of Purkinje cells. The observed clinical signs and nervous tissue lesions were consistent with congenital cerebellar syndrome, possibly associated to viral infection during fetal development. Despite CH has been assumed to be related to BVD, blue tongue and Akabane viruses, only the BVD etiology has been already identified in Brazil.

Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds

To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited data set (N = 479) from Brown Swiss, Guernsey, Holstein, and Jersey cattle, some of the MS-SNP haplotype associations were concordant across these phylogenetically diverse breeds. This implied that some haplotypes predate modern breed formation and remain in strong linkage disequilibrium. To expand the utility of MS allele imputation across breeds, MS and SNP data from more than 8000 animals representing 39 breeds (Bos taurus and B. indicus) were used to predict 9410 SNP haplotypes, incorporating an average of 73 SNPs per haplotype, for which alleles from 12 MS markers could be accurately be imputed. Approximately 25% of the MS-SNP haplotypes were present in multiple breeds (N = 2 to 36 breeds). These shared haplotypes allowed for MS imputation in breeds that were not represented in the reference population with only a small increase in Mendelian inheritance inconsistancies. Our reported reference haplotypes can be used for any cattle breed and the reported methods can be applied to any species to aid the transition from MS to SNP genetic markers. While ~91% of the animals with imputed alleles for 12 MS markers had ≤1 Mendelian inheritance conflicts with their parents' reported MS genotypes, this figure was 96% for our reference animals, indicating potential errors in the reported MS genotypes. The workflow we suggest autocorrects for genotyping errors and rare haplotypes, by MS genotyping animals whose imputed MS alleles fail parentage verification, and then incorporating those animals into the reference dataset.

Proceedings ...

Mode of access: Internet.

Superior sires /

On cover of v. [1]: 1945.

Effect of blending Jersey and Holstein-Friesian milk on Cheddar cheese processing, composition and quality

The aim of this study was to investigate the effects of numerous milk compositional factors on milk coagulation properties using Partial Least Squares (PLS). Milk from herds of Jersey and Holstein- Friesian cattle was collected across the year and blended (n=55), to maximise variation in composition and coagulation. The milk was analysed for casein, protein, fat, titratable acidity, lactose, Ca2+, urea content, micelles size, fat globule size, somatic cell count and pH. Milk coagulation properties were defined as coagulation time, curd firmness and curd firmness rate measured by a controlled strain rheometer. The models derived from PLS had higher predictive power than previous models demonstrating the value of measuring more milk components. In addition to the well-established relationships with casein and protein levels, CMS and fat globule size were found to have as strong impact on all of the three models. The study also found a positive impact of fat on milk coagulation properties and a strong relationship between lactose and curd firmness, and urea and curd firmness rate, all of which warrant further investigation due to current lack of knowledge of the underlying mechanism. These findings demonstrate the importance of using a wider range of milk compositional variables for the prediction of the milk coagulation properties, and hence as indicators of milk suitability for cheese making.