2021
DOI: 10.1111/age.13038
|View full text |Cite
|
Sign up to set email alerts
|

Identification of new genes and quantitative trait locis associated with growth curve parameters in F2 chicken population using genome‐wide association study

Abstract: Summary The markers which are correlated with the growth curve parameters help in understanding the characteristics of individual growth during the rearing of livestock. This study aimed to identify a set of biomarkers through a GWAS for growth curve parameters in crossbred chickens using the Illumnia 60K chicken SNP Beadchip. Growth data were collected from a total of 301 birds from cross of a broiler line and native chickens. Using the Gompertz–Laird model, two growth curve parameters, the instantaneous grow… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 14 publications
(2 citation statements)
references
References 61 publications
0
2
0
Order By: Relevance
“…Each nonlinear function has 3 or more parameters, having the potential to summarize or derivatives of production-related traits ( Ramos et al . , 2013 ; Ware and Power, 2017 ; Küçüktopcu and Cemek, 2021 ; Seifi Moroudi et al . , 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Each nonlinear function has 3 or more parameters, having the potential to summarize or derivatives of production-related traits ( Ramos et al . , 2013 ; Ware and Power, 2017 ; Küçüktopcu and Cemek, 2021 ; Seifi Moroudi et al . , 2021 ).…”
Section: Introductionmentioning
confidence: 99%
“…Accurately detecting sequence variation associated with traits of economic importance in the domestic chicken is a major goal of genetic research into this globally widespread dietary protein source [1]. Many groups are now genotyping chicken genomes to discover the underlying molecular basis of specific traits [2][3][4][5][6], but current methods, both sequence-and array-based, have unquantified limitations in assessing the underlying variation that connects many loci to studied traits.…”
Section: Introductionmentioning
confidence: 99%