Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population
Plasma biochemical indicators are commonly considered as direct indicators of metabolism and health in both animals and humans. However, genomic predictions for biochemical traits and their downstream utility in predicting economic traits remain unclear. This study explores the genetic parameters of...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-08-01
|
| Series: | Poultry Science |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0032579125005632 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849387648011993088 |
|---|---|
| author | Jian Hu Mengdie Wang Linxi Zhu Chengming Han Qinglei Yang Zhenlin Liu Jing Song Zhengkui Zhou Shuisheng Hou Wentao Cai |
| author_facet | Jian Hu Mengdie Wang Linxi Zhu Chengming Han Qinglei Yang Zhenlin Liu Jing Song Zhengkui Zhou Shuisheng Hou Wentao Cai |
| author_sort | Jian Hu |
| collection | DOAJ |
| description | Plasma biochemical indicators are commonly considered as direct indicators of metabolism and health in both animals and humans. However, genomic predictions for biochemical traits and their downstream utility in predicting economic traits remain unclear. This study explores the genetic parameters of 18 plasma biochemical indicators in a population of 1,059 ducks and evaluates their potential to enhance genomic predictions for 53 economic traits. High heritability was observed for cholinesterase (CHE, 0.57), while traits like lactate dehydrogenase (LDH) and creatine kinase (CK) showed negligible heritability (< 0.1). LDH exhibited strong positive correlations with hydroxybutyrate dehydrogenase (HBDH, 0.95), aspartate aminotransferase (AST, 0.88), and CK (0.83), while high-density lipoprotein cholesterol (HDLC) demonstrated moderate negative correlations with CK (-0.81), LDH (-0.7), and HBDH (-0.58). Using data from 941 genotyped ducks, we estimated predictive reliabilities of biochemical traits under pedigree-based BLUP, genomic BLUP (GBLUP), and Bayesian models. GBLUP outperformed pedigree BLUP, with an average reliability improvement of 0.024, though Bayesian models offered incremental gains for specific traits (e.g., +0.165 for CHE under BayesN). Hierarchical clustering and principal component analysis revealed distinct metabolic networks: Cluster 1 (e.g., triglycerides, uric acid) correlated with leg muscle and viscera traits, while Cluster 2 (e.g., cholesterol, albumin) associated with breast muscle and fat deposition. Integrating plasma indicators into multi-trait GBLUP models improved reliability for key economic traits, notably feed conversion ratio (FCR, +0.068 with glucose) and residual feed intake (RFI, +0.019 with direct bilirubin). These findings highlight the potential of plasma biomarkers as auxiliary traits for genomic selection, particularly in optimizing feed efficiency and carcass composition, while underscoring the need for trait-specific model strategies. |
| format | Article |
| id | doaj-art-9ffacb76852e40a78b10ea767871cd69 |
| institution | Kabale University |
| issn | 0032-5791 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Poultry Science |
| spelling | doaj-art-9ffacb76852e40a78b10ea767871cd692025-08-20T03:51:30ZengElsevierPoultry Science0032-57912025-08-01104810532010.1016/j.psj.2025.105320Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck populationJian Hu0Mengdie Wang1Linxi Zhu2Chengming Han3Qinglei Yang4Zhenlin Liu5Jing Song6Zhengkui Zhou7Shuisheng Hou8Wentao Cai9Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; College of Animal Science and Technology, Shanxi Agricultural University, 030031, PR ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; College of Animal Science and Technology, Northwest A&F University, 712100, PR ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; College of Animal Science and Technology, Northwest A&F University, 712100, PR ChinaShandong Zhongxin Food Group Co., Ltd, 250100, PR ChinaShandong Zhongxin Food Group Co., Ltd, 250100, PR ChinaCollege of Animal Science and Technology, Shanxi Agricultural University, 030031, PR ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR ChinaInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; Corresponding authors.Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; Corresponding authors.Plasma biochemical indicators are commonly considered as direct indicators of metabolism and health in both animals and humans. However, genomic predictions for biochemical traits and their downstream utility in predicting economic traits remain unclear. This study explores the genetic parameters of 18 plasma biochemical indicators in a population of 1,059 ducks and evaluates their potential to enhance genomic predictions for 53 economic traits. High heritability was observed for cholinesterase (CHE, 0.57), while traits like lactate dehydrogenase (LDH) and creatine kinase (CK) showed negligible heritability (< 0.1). LDH exhibited strong positive correlations with hydroxybutyrate dehydrogenase (HBDH, 0.95), aspartate aminotransferase (AST, 0.88), and CK (0.83), while high-density lipoprotein cholesterol (HDLC) demonstrated moderate negative correlations with CK (-0.81), LDH (-0.7), and HBDH (-0.58). Using data from 941 genotyped ducks, we estimated predictive reliabilities of biochemical traits under pedigree-based BLUP, genomic BLUP (GBLUP), and Bayesian models. GBLUP outperformed pedigree BLUP, with an average reliability improvement of 0.024, though Bayesian models offered incremental gains for specific traits (e.g., +0.165 for CHE under BayesN). Hierarchical clustering and principal component analysis revealed distinct metabolic networks: Cluster 1 (e.g., triglycerides, uric acid) correlated with leg muscle and viscera traits, while Cluster 2 (e.g., cholesterol, albumin) associated with breast muscle and fat deposition. Integrating plasma indicators into multi-trait GBLUP models improved reliability for key economic traits, notably feed conversion ratio (FCR, +0.068 with glucose) and residual feed intake (RFI, +0.019 with direct bilirubin). These findings highlight the potential of plasma biomarkers as auxiliary traits for genomic selection, particularly in optimizing feed efficiency and carcass composition, while underscoring the need for trait-specific model strategies.http://www.sciencedirect.com/science/article/pii/S0032579125005632Plasma biochemical indicatorsGenomic predictionMulti-traits genomic predictionEconomic traitsDuck |
| spellingShingle | Jian Hu Mengdie Wang Linxi Zhu Chengming Han Qinglei Yang Zhenlin Liu Jing Song Zhengkui Zhou Shuisheng Hou Wentao Cai Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population Poultry Science Plasma biochemical indicators Genomic prediction Multi-traits genomic prediction Economic traits Duck |
| title | Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| title_full | Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| title_fullStr | Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| title_full_unstemmed | Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| title_short | Utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| title_sort | utilizing plasma biochemical indicators to improve prediction of economic traits in crossbred duck population |
| topic | Plasma biochemical indicators Genomic prediction Multi-traits genomic prediction Economic traits Duck |
| url | http://www.sciencedirect.com/science/article/pii/S0032579125005632 |
| work_keys_str_mv | AT jianhu utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT mengdiewang utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT linxizhu utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT chengminghan utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT qingleiyang utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT zhenlinliu utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT jingsong utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT zhengkuizhou utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT shuishenghou utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation AT wentaocai utilizingplasmabiochemicalindicatorstoimprovepredictionofeconomictraitsincrossbredduckpopulation |