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Featured researches published by Sa Adediran.


Animal Production Science | 2010

Genetic and environmental factors influencing milk, protein and fat yields of pasture-based dairy cows in Tasmania.

Sa Adediran; P Nish; Dj Donaghy; Da Ratkowsky; Aeo Malau-Aduli

The objective of this study was to provide an update on milk production performance, heritability, genetic and phenotypic correlations among production traits that are valuable for management, breeding and selection decisions in pasture-based dairy systems. The study utilised a total of 106 990 lactation records of Holstein–Friesian (FF), Jersey (JJ) and their crossbreds (HF) from 428 Tasmanian dairy herds collected between 2000 and 2005. The data were analysed using the least-squares approach with a general linear model and restricted maximum likelihood approach with a linear animal model. Results indicated highly significant (P 1110 cows/herd) out-produced those in smaller herds. Heritability was highest for milk yield and lowest for somatic cell count ranging from 0.28 to 0.41. Genetic and phenotypic correlations between milk, fat and protein yields ranged from 0.41 to 0.85, and 0.66 to 0.92, respectively. However, genetic and phenotypic correlations between the log of somatic cell count and the production traits ranged from 0.03 to 0.09 and –0.03 to –0.05. We conclude that breed, herd size, parity, season and year of calving were among the main factors correlated with the productivity of dairy cows in Tasmania and adjustments for these factors would be mandatory for any unbiased comparison of lactation performance within and between pasture-based dairy production systems. The practical application of this information would be valuable to dairy farmers for decisions related to breeding, selection and management of their herds.


Archive | 2007

Genetic diversity and breed comparison of carcass traits in Tasmanian Corriedale and East-Friesian sheep by RAPD markers

Aeo Malau-Aduli; Cw Bignell; F. Tavassoli-Salardini; A. J. Smolenski; A. Palmer; J. Bignell; S. Burbury; R. Batchelor; Bunmi S. Malau-Aduli; Sa Adediran; Pa Lane; Rj Clark

All organisms are subject to mutations as a result of normal cellular operations or interactions with the environment, leading to genetic variation (polymorphism). In conjunction with selection and genetic drift, there arises genetic variation within and among individuals and species. For this variation to be useful to geneticists, it must be heritable and discernable whether as a recognisable phenotypic variation or as a genetic mutation distinguishable through molecular techniques. PCR amplification and gel electrophoresis resolution of products using RAPD primer A2 shows polymorphism of up to 5 bands was evident. It also demonstrates that at the molecular level, there are banding differences that can be picked up between crossbred progeny sired by rams with high genetic merit for growth or muscle.Fat depth at the GR and C sites was significantly (P<0.05) influenced by level of nutrition and nutrition level x siretype interaction in that fat depths were greater in crossbred lambs fed at high levels of nutrition than those fed low nutrition levels. Lambs selected for growth and fed high level of nutrition produced carcasses with the least KNIFE GR fat depth of 11.4mm, a significant reduction from 18.1mm in the control group fed low level nutrition.RAPD marker assays are based on polymerase chain reaction amplification of random segments of the DNA with an identical pair of primers 8-10 bp in length consisting of arbitrary nucleotide sequence. Genetic variation and divergence within and between breeds of interest are assessed by the presence or absence of each product which is dictated by the DNA sequence at each locus. The power to detect polymorphisms is very high given that 5-20 bands can be produced using a given primer pair and multiple sets of random primers can be used to scan the entire genome for differential RAPD bands. RAPD has several advantages over other molecular markers because it can be used with uncharacterised genomes without prior knowledge of nucleotide sequence information and can be applied to problems in which only small quantities of DNA are available. It is also efficient and inexpensive.At the same slaughter weight and body condition score, Corriedales had significantly (P 0.09).


Journal of Dairy Science | 2012

Comparative evaluation of a new lactation curve model for pasture-based Holstein-Friesian dairy cows.

Sa Adediran; Da Ratkowsky; Dj Donaghy; Aeo Malau-Aduli


Dairy Research Foundation (DRF) Annual Symposium | 2007

Using lactation curves as a tool for breeding, nutrition and health management decisions in pasture-based dairy systems

Sa Adediran; Aeo Malau-Aduli; Dj Donaghy


Australasian Dairy Science Symposium: Meeting the Challenges for Pasture-Based Dairying | 2007

Predictive characteristics of lactation models for pasture-based Holstein Friesian dairy cows

Sa Adediran; Dj Donaghy; Rp Rawnsley; Mj Freeman; P Nish; Aeo Malau-Aduli


Archive | 2010

The Integration of Lucerne into the Feedbase Systems of the Australian Dairy Industry; and Defining the Response to Concentrates for Cows Varying in Milk Production

Dj Donaghy; Kg Pembleton; Sa Adediran


Archive | 2009

Modelling lactation in pasture-based dairy cows varying in production potential

Sa Adediran


Archive | 2008

Modelling the effect of stocking rate on the lactation profiles of grazing Holstein-Friesian dairy cows using cubic splines

Sa Adediran; Da Ratkowsky; Dj Donaghy; Aeo Malau-Aduli


Dairy Research Foundation (DRF) Symposium | 2008

Modelling the effect of stocking rate on the lactation profiles of grazing Holstein - Friesian dairy cows using cubic splines. In: Pietro Celi (Editor) Current Topics in Dairy Production, Volume 13

Sa Adediran; Da Ratkowsky; Dj Donaghy; Aeo Malau-Aduli


Archive | 2007

Comparative effects of ASI and APR sire breeding values on the lactation profile of pasture-based Holstein-Friesian cows. In: K Donoghue, B Pattie, B Restall, B Kinghorn (Editors), Genetic improvement - Making it happen

Sa Adediran; Dj Donaghy; Mj Freeman; Aeo Malau-Aduli

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Mj Freeman

University of Tasmania

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Cw Bignell

University of Tasmania

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Pa Lane

University of Tasmania

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Rj Clark

University of Tasmania

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Rp Rawnsley

University of Tasmania

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