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Animal Trait Correlation Database

 Chicken Traits Genetic Correlations

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Genetic Correlations:35
Phenotypic Correlations:59

SpeciesTrait ATrait BCorrelationsTest statisticsCorrelation typeReference
ChickenFCR RFI 0.71  Genetic
ChickenFI RFI 0.90  Genetic
ChickenFCR RFI 0.71  Genetic
ChickenFI RFI 0.86  Genetic
ChickenDRTHMP RFI -0.353 p<0.05Genetic
ChickenBRMP RFI -0.404 p<0.05Genetic
ChickenFI RFI 0.75  Genetic
ChickenADG RFI 0.17  Genetic
ChickenADG RFI 0.17  Genetic
ChickenAF RFI 0.48  Genetic
ChickenFCR RFI 0.75  Genetic
ChickenAF RFI 0.56  Genetic
ChickenMBW RFI 0.27  Genetic
ChickenFI RFI 0.48  Genetic
ChickenABFP RFI 0.58  Genetic
ChickenFCR RFI 0.77  Genetic
ChickenRFI BW -0.09  Genetic
ChickenRFI BW 0.03  Genetic
ChickenRFI BWGAIN -0.19  Genetic
ChickenRFI BW 0.22  Genetic
ChickenRFI BW 0.32  Genetic
ChickenADG RFI 0.86  Genetic
ChickenRFI BW 0.80  Genetic
ChickenRFI BW 0.65  Genetic
ChickenRFI FI 0.92  Genetic
ChickenRFI BW 0.67  Genetic
ChickenRFI BW 0.77  Genetic
ChickenRFI FI 0.63  Genetic
ChickenBW RFI -0.02  Genetic
ChickenBW RFI 0.09  Genetic
ChickenRFI RFI 0.83  Genetic
ChickenAF RFI 0.05  Genetic
ChickenFI RFI 0.57  Genetic
ChickenADG RFI 0.19  Genetic
ChickenFCR RFI 0.57  Genetic
Query notes References
Cai K, Liu R, Wei L, Wang X, Cui H, Luo N, Wen J, Chang Y, Zhao G (2024), Genome-wide association analysis identify candidate genes for feed efficiency and growth traits in Wenchang chickens, BMC Genomics, 25(1): 645.
Li W, Zheng M, Zhao G, Wang J, Liu J, Wang S, Feng F, Liu D, Zhu D, Li Q, Guo L, Guo Y, Liu R, Wen J (2021), Identification of QTL regions and candidate genes for growth and feed efficiency in broilers, Genetics, selection, evolution : GSE, 53 (1): 13.
Liu T, Luo C, Wang J, Ma J, Shu D, Lund MS, Su G, Qu H (2017), Assessment of the genomic prediction accuracy for feed efficiency traits in meat-type chickens, PloS one, 12 (3): e0173620.
Ye S, Chen ZT, Zheng R, Diao S, Teng J, Yuan X, Zhang H, Chen Z, Zhang X, Li J, Zhang Z (2020), New Insights From Imputed Whole-Genome Sequence-Based Genome-Wide Association Analysis and Transcriptome Analysis: The Genetic Mechanisms Underlying Residual Feed Intake in Chickens, Frontiers in genetics, 11: 243.
Yuan J, Chen S, Shi F, Wu G, Liu A, Yang N, Sun C (2017), Genome-wide association study reveals putative role of gga-miR-15a in controlling feed conversion ratio in layer chickens, BMC genomics, 18 (1): 699.
Chen C, Su Z, Li Y, Luan P, Wang S, Zhang H, Xiao F, Guo H, Cao Z, Li H, Leng L (2021), Estimation of the genetic parameters of traits relevant to feed efficiency: result from broiler lines divergent for high or low abdominal fat content, Poultry science, 100 (2): 461-466.

 

 

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