Literature DB >> 11469643

Estimation of genetic parameters for ascites syndrome in broiler chickens.

H K Moghadam1, I McMillan, J R Chambers, R J Julian.   

Abstract

Genetic parameters for the ascites syndrome (AS) were estimated for meat-type chickens. Data had been collected over 11 generations of selection for body weight and other traits within two distinct breeds (Cornish and White Rock). Linear methods (LM) were used to estimate genetic parameters and also to analyze a binary measure of survival. Survival analyses (SA) were also conducted to estimate the effects of various factors influencing the incidence of AS by evaluating the number of days that the birds survived. The animal model was used exclusively with linear methods. Heritabilities (h2) on the liability scale were 0.12 +/- 0.02 and 0.22 +/- 0.01 in the White Rock and Cornish breeds, respectively; however, the genetic correlation (r(g)) with body weight was not possible to estimate due to the low prevalence of the defect trait studied (1.5% in the Cornish and 1.1% in the White Rock). Because males are more prone to AS, the h2 using the male records only were 0.22 +/- 0.017 and 0.41 +/- 0.009, and the r(g) were 0.35 +/- 0.007 and 0.22 +/- 0.009 in the dam and sire populations, respectively. In conclusion, the heart defect investigated was heritable and had a positive genetic correlation with body weight.

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Year:  2001        PMID: 11469643     DOI: 10.1093/ps/80.7.844

Source DB:  PubMed          Journal:  Poult Sci        ISSN: 0032-5791            Impact factor:   3.352


  9 in total

1.  Idiopathic pulmonary arterial hypertension: an avian model for plexogenic arteriopathy and serotonergic vasoconstriction.

Authors:  Robert F Wideman; Krishna R Hamal
Journal:  J Pharmacol Toxicol Methods       Date:  2011-01-26       Impact factor: 1.950

2.  The comparative analysis of phenotypic and whole transcriptome gene expression data of ascites susceptible versus ascites resistant chickens.

Authors:  Karim Hasanpur; Mohammadreza Nassiri; Ghasem Hosseini Salekdeh
Journal:  Mol Biol Rep       Date:  2018-12-05       Impact factor: 2.316

3.  Multi-generational genome wide association studies identify chromosomal regions associated with ascites phenotype.

Authors:  K J Tarrant; S Dey; R Kinney; N B Anthony; D D Rhoads
Journal:  Poult Sci       Date:  2017-06-01       Impact factor: 3.352

4.  A quantitative trait locus for ascites on chromosome 9 in broiler chicken lines.

Authors:  Sriram Krishnamoorthy; Candace D Smith; Adnan A Al-Rubaye; Gisela F Erf; Robert F Wideman; Nicholas B Anthony; Douglas D Rhoads
Journal:  Poult Sci       Date:  2014-02       Impact factor: 3.352

5.  Genetics of ascites resistance and tolerance in chicken: a random regression approach.

Authors:  Antti Kause; Sacha van Dalen; Henk Bovenhuis
Journal:  G3 (Bethesda)       Date:  2012-05-01       Impact factor: 3.154

6.  Whole genome resequencing identifies the CPQ gene as a determinant of ascites syndrome in broilers.

Authors:  Shatovisha Dey; Alia Parveen; Katy J Tarrant; Timothy Licknack; Byungwhi C Kong; Nicholas B Anthony; Douglas D Rhoads
Journal:  PLoS One       Date:  2018-01-02       Impact factor: 3.240

7.  Further investigation of mitochondrial biogenesis and gene expression of key regulators in ascites- susceptible and ascites- resistant broiler research lines.

Authors:  Khaloud Al-Zahrani; Timothy Licknack; Destiny L Watson; Nicholas B Anthony; Douglas D Rhoads
Journal:  PLoS One       Date:  2019-03-14       Impact factor: 3.240

8.  SNP-based breeding for broiler resistance to ascites and evaluation of correlated production traits.

Authors:  Katie Pepper Lee; Nicholas B Anthony; Sara K Orlowski; Douglas D Rhoads
Journal:  Hereditas       Date:  2022-01-28       Impact factor: 3.271

9.  Quantitative trait loci with sex-specific effects for internal organs weights and hematocrit value in a broiler-layer cross.

Authors:  A S A M T Moura; M C Ledur; C Boschiero; K Nones; L F B Pinto; F R F Jaenisch; D W Burt; L L Coutinho
Journal:  J Appl Genet       Date:  2015-10-24       Impact factor: 3.240

  9 in total

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