Whole genome scan for quantitative trait loci affecting body weight in chickens using a three generation design

Kaam, J.B.C.H.M. van; Arendonk, J.A.M. van; Groenen, Martien A. M.; Bovenhuis, H.; Vereijken, Addie; Crooijmans, R.P.M.A.; Poel, J.J. van der; Veenendaal, A.

doi:10.1016/s0301-6226(97)00171-1

Cited by 86 publications

(59 citation statements)

References 25 publications

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“…In general, these values are slightly lower than those published by Van Kaam et al (1998;, but they were estimated on a crossbred population. Body weight showed both a significant direct maternal and maternal genetic effect, whereas a significant direct maternal effect was present for residual feed intake, conformation score, dissection weight, and thigh meat weight (Table 1).…”

Section: Analyses Of Phenotypic Traits and Map Constructioncontrasting

confidence: 76%

“…Subsequently, half the offspring's sire genotype was deducted from the trait score because we were only interested in genes coming from the G2 hens. This procedure was similar to that employed by Van Kaam et al (1998). For traits where the G2 hens also had observations, these were combined with the G3 observations using a selection index formula: where X 1 is the adjusted trait score of a second-generation hen and X 2 is the mean adjusted trait score of n full-sib offspring of this hen.…”

Section: Derivation Of Trait Scoresmentioning

confidence: 99%

“…In chicken, crosses that have been used to detect QTL range from broiler × layer (Sewalem et al, 2002) to crosses between two extreme broiler lines (Van Kaam et al, 1998). This approach has proved very successful in identifying QTL that explain differences between 1 1 fecting the relative weight of bone and muscle in the thigh.…”

Section: Introductionmentioning

confidence: 99%

“…In the next step, we targeted a commercial broiler line for a published body weight QTL. We chose a region on chromosome 4 (GGA4) that has been shown to affect body weight (Van Kaam et al, 1998;Sewalem et al, 2002;Tuiskula-Haavisto et al, 2002) and feed intake (Van Kaam et al, 1999;Tuiskula-Haavisto et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative trait locus detection in commercial broiler lines using candidate regions1

Koning¹,

Windsor

Hocking³

et al. 2003

Journal of Animal Science

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ABSTRACT:A QTL that explained a large proportion of the phenotypic difference between broiler and layer chickens in an experimental cross was evaluated in a commercial broiler line. A three-generation design, consisting of 15 grandsires, 608 half-sib hens, and more than 50,000 third-generation offspring, was implemented within the existing breeding scheme of a broiler breeding company. Four markers from a candidate region on chicken chromosome 4 were selected for their informativeness in the grandsires and used to genotype the first two generations. Using half-sib analyses, linkage was studied between these markers and 13 growth and carcass traits. The QTL analyses confirmed the presence of significant QTL for body weight (P < 0.01) and residual feed intake (P < 0.05) on chicken chromosome 4. Furthermore, evidence was found for QTL af-

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Section: Analyses Of Phenotypic Traits and Map Constructioncontrasting

confidence: 76%

Section: Derivation Of Trait Scoresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Quantitative trait locus detection in commercial broiler lines using candidate regions1

Koning¹,

Windsor

Hocking³

et al. 2003

Journal of Animal Science

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“…A number of QTL mapping studies have been performed on crosses between genetically and phenotypically divergent lines of chickens. These studies have focused on identifying QTL responsible for body weight [39,46,47,51,52,55], feed-efficiency [57], growth [7,20,27,55,57,62], carcass characteristics [12,23,24,56], and egg traits [27,39,44,54,59]. Other researchers have investigated specific candidate genes potentially associated with variation in traits relating to bone integrity [31,61].…”

Section: Discussionmentioning

confidence: 99%

Identification of quantitative trait loci associated with bone traits and body weight in an F2 resource population of chickens

2005

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-Bone fractures at the end of lay are a significant problem in egg-laying strains of hens. The objective of the current study was to identify quantitative trait loci (QTL) associated with bone mineralization and strength in a chicken resource population. Layer (White Leghorn hens) and broiler (Cobb-Cobb roosters) lines were crossed to generate an F2 population of 508 hens over seven hatches, and 26 traits related to bone integrity, including bone mineral density (BMD) and content (BMC), were measured. Genotypes of 120 microsatellite markers on 28 autosomal groups were determined, and interval mapping was conducted to identify QTL regions. Twenty-three tests representing three chromosomal regions (chromosomes 4, 10 and 27) contained significant QTL that surpassed the 5% genome-wise threshold, and 47 tests representing 15 chromosomes identified suggestive QTL that surpassed the 5% chromosome-wise threshold. Although no significant QTL influencing BMD and BMC were detected after adjusting for variation in body weight and egg production, multiple suggestive QTL were found. These results support previous experiments demonstrating an important genetic regulation of bone strength in chickens, but suggest the regulation may be due to the effects of multiple genes that each account for relatively small amounts of variation in bone strength.bone mineral density / chickens / QTL / osteoporosis

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A Comprehensive Microsatellite Linkage Map of the Chicken Genome

Groenen¹,

Crooijmans²,

Veenendaal³

et al. 1998

Genomics

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172

145

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Whole genome scan for quantitative trait loci affecting body weight in chickens using a three generation design

Cited by 86 publications

References 25 publications

Quantitative trait locus detection in commercial broiler lines using candidate regions1

Quantitative trait locus detection in commercial broiler lines using candidate regions1

Identification of quantitative trait loci associated with bone traits and body weight in an F2 resource population of chickens

A Comprehensive Microsatellite Linkage Map of the Chicken Genome

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