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Paul M Hocking

Researcher at The Roslin Institute

Publications -  64
Citations -  3442

Paul M Hocking is an academic researcher from The Roslin Institute. The author has contributed to research in topics: Quantitative trait locus & Broiler. The author has an hindex of 33, co-authored 64 publications receiving 3235 citations. Previous affiliations of Paul M Hocking include University of Edinburgh.

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A genetic variation map for chicken with 2.8 million single-nucleotide polymorphisms

Gane Ka-Shu Wong, +126 more
- 09 Dec 2004 - 
TL;DR: This map is based on a comparison of the sequences of three domestic chicken breeds with that of their wild ancestor, red jungle fowl, and indicates that at least 90% of the variant sites are true SNPs, and at least 70% are common SNPs that segregate in many domestic breeds.
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Acute Heat Stress-Induced Alterations in Blood Acid-Base Status and Skeletal Muscle Membrane Integrity in Broiler Chickens at Two Ages: Implications for Meat Quality

TL;DR: It is concluded that exposure to AHS induced disturbances in blood acid/base status and had a detrimental effect upon skeletal muscle membrane integrity, and Muscle from broilers exhibited an increased sensitivity to A HS exposure with age.
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High litter moisture alone is sufficient to cause footpad dermatitis in growing turkeys

TL;DR: It was concluded that high litter moisture alone was sufficient to cause foot pad dermatitis in young turkeys and that footpad dermatitis should be minimised by the maintenance of dry litter.
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Mapping of quantitative trait loci for body weight at three, six, and nine weeks of age in a broiler layer cross.

TL;DR: An F2 chicken population was established from a cross of a broiler sire-line and an egg laying (White Leghorn) line, and genetic effects were generally additive, and the broiler allele increased body weight in all cases.
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Quantitative trait loci affecting fatness in the chicken.

TL;DR: An F2 chicken population of 442 individuals from 30 families, obtained by crossing a broiler line with a layer line, was used for detecting and mapping Quantitative Trait Loci (QTL) affecting abdominal fat weight, skin fat weight and fat distribution.