98%
921
2 minutes
20
In this study, we combined genomic and gut microbiome data to evaluate 13 economically important growth and feed efficiency traits in 407 Dahen broilers, including body weight (BW) at four, six, nine, and ten weeks of age (BW4, BW6, BW9, and BW10), as well as the average daily gain (ADG6, ADG9, and ADG10), feed conversion ratio (FCR6, FCR9, and FCR10), and residual feed intake (RFI6, RFI9, and RFI10) for the three growing ages. The highest ADG and lowest FCR were observed at nine and six weeks of age, respectively. We obtained 47,872 high-quality genomic single-nucleotide polymorphisms (SNPs) by sequencing the genomes and 702 amplicon sequence variants (ASVs) of the gut microbiome by sequencing the 16S rRNA gene, both of which were used for analyses of linear mixed models. The heritability estimates (± standard error, SE) ranged from 0.103 ± 0.072 to 0.156 ± 0.079 for BW, 0.154 ± 0.074 to 0.276 ± 0.079 for the ADG, 0.311 ± 0.076 to 0.454 ± 0.076 for the FCR, and 0.413 ± 0.077 to 0.609 ± 0.076 for the RFI traits. We consistently observed moderate and low negative genetic correlations between the BW traits and the FCR and RFI traits (r = -0.562 to -0.038), whereas strong positive correlations were observed between the FCR and RFI traits (r = 0.564 to 0.979). For the FCR and RFI traits, strong positive correlations were found between the measures at the three ages. In contrast to the genomic contribution, we did not detect a gut microbial contribution to all of these traits, as the estimated microbiabilities did not confidently deviate from zero. We systematically evaluated the contributions of host genetics and gut microbes to several growth and feed efficiency traits in Dahen broilers, and the results show that only the host genetics had significant effects on the phenotypic variations in a flock. The parameters obtained in this study, based on the combined use of genomic and gut microbiota data, may facilitate the implementation of efficient breeding schemes in Dahen broilers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11672845 | PMC |
http://dx.doi.org/10.3390/ani14243615 | DOI Listing |
Poult Sci
August 2025
State Key Laboratory of Animal Biotech Breeding, Frontier Science Center of Molecular Design Breeding, China Agricultural University, Beijing 100193, China; National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing 100193, C
Given the critical impact of feed costs on poultry profitability, it is essential to improve feed efficiency through genetic selection. Although residual feed intake (RFI) serves as the gold-standard metric for feed efficiency assessment, its molecular regulation remains poorly understood. This study estimated the residual feed intake of laying hens from 70 to 100 weeks of age (E-RFI) and estimated the genetic parameters of key production traits (egg quality and feed efficiency) and lipid traits (triglycerides: TG; free fatty acids: FFA; cholesterol: TC).
View Article and Find Full Text PDFPoult Sci
August 2025
College of Animal Science and Technology, Anhui Agricultural University, Hefei 230036, China; Anhui Provincial Key Laboratory of Local Animal Genetic Resources Conservation and Bio-breeding, Hefei 230036, China. Electronic address:
Feed efficiency (FE) is an important factor restricting development of the poultry industries. Residual feed intake (RFI) serves as an indicator for measuring FE in breeding initiatives. This study aimed to explore the influence of divergence in RFI on growth performance, carcass traits, meat quality, muscle fiber morphology, and blood chemistry in indigenous chickens.
View Article and Find Full Text PDFPoult Sci
August 2025
School of Animal Technology and Innovation, Institute of Agricultural Technology, Suranaree University of Technology, Nakhon Ratchasima 30000, Thailand. Electronic address:
The aim of this study was to investigate the expression of mitochondrial oxidative phosphorylation (OXPHOS) genes, oxidative stress, and antioxidant responses in the duodenum, involved in differential residual feed intake (RFI), an indicator of feed efficiency. The study was conducted on two groups of 15 male slow-growing Korat chickens (KRC), the low RFI (LRFI) group and the high RFI (HRFI) group, with mean values of -197.8 ± 12.
View Article and Find Full Text PDFAnimal
July 2025
Department of Animal Science, School of Agricultural and Veterinarian Sciences (FCAV), São Paulo State University (UNESP), Jaboticabal, SP 14884-900, Brazil.
Global climate change poses significant challenges to livestock production, particularly in tropical regions where cattle frequently experience heat stress (HS). HS negatively impacts feed efficiency by reducing feed intake, altering metabolic processes, and increasing energy requirements, leading to decreased animal performance. Understanding how cattle respond to environmental stressors is essential for improving efficiency by breeding programs.
View Article and Find Full Text PDFJ Dairy Sci
July 2025
Animal Nutrition, Production Systems, Natural Resources Institute Finland (LUKE), 31600 Jokioinen, Finland.
Residual feed intake (RFI), calculated as a difference between observed and predicted intake, is a commonly used estimate of feed efficiency (FE). Determination of FE in practical dairy herds is challenging, as it requires accurate estimation of feed intake of individual cows. Alternatively, FE could be estimated as a difference between observed and predicted metabolic losses derived from gas exchanges.
View Article and Find Full Text PDF