Article
Agriculture, Dairy & Animal Science
Hadi Esfandyari, Just Jensen
Summary: The study aimed to develop a procedure for simultaneous analysis of basic records and derive linear traits related to feed efficiency without approximation. A bivariate longitudinal random regression model was used to analyze individual longitudinal records of weight and feed intake from a large group of beef bulls, estimating genetic and permanent environmental covariance functions.
JOURNAL OF ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Ingrid David, Van-Hung Huynh Tran, Helene Gilbert
Summary: This study used a structured antedependence approach for genetic analysis and concluded that the multi-SAD model is more suitable for the analysis of longitudinal RFI, providing RFI that are genetically independent of production traits.
GENETICS SELECTION EVOLUTION
(2021)
Article
Agriculture, Dairy & Animal Science
Lucile Montagne, Helene Gilbert, Nelly Muller, Nathalie Le Floc'h
Summary: The physiological responses to weaning differed between pig lines selected for different levels of feed efficiency. Pigs from the more efficient line were more sensitive to the weaning stress initially, but ultimately adapted and showed similar performance as pigs from the less efficient line.
JOURNAL OF ANIMAL PHYSIOLOGY AND ANIMAL NUTRITION
(2022)
Article
Agriculture, Dairy & Animal Science
M. H. Lidauer, E. Negussie, E. A. Mantysaari, P. Mantysaari, S. Kajava, T. Kokkonen, A. Chegini, T. Mehtio
Summary: In this study, a new metric called regression on expected feed intake (ReFI) was introduced to evaluate the efficiency of feed utilization in dairy cows. Compared to other metrics such as residual feed intake (RFI) and genetic residual feed intake (gRFI), ReFI showed higher genetic variation and heritability in measuring feed efficiency. Selection based on ReFI breeding values resulted in higher milk production and a greater increase in efficiency compared to selection based on RFI or gRFI values.
Article
Genetics & Heredity
Ye Wang, Chenguang Diao, Huimin Kang, Wenjie Hao, Raphael Mrode, Junhai Chen, Jianfeng Liu, Lei Zhou
Summary: Residual feed intake (RFI) is an important indicator for evaluating feed efficiency in pigs. This study compared the prediction performances of a random regression model (RRM) and a traditional animal model for RFI genetic prediction, and found that the RRM with both pedigree and genetic information achieved greater accuracy than the animal model.
FRONTIERS IN GENETICS
(2022)
Article
Agriculture, Dairy & Animal Science
P. Khanal, K. L. Parker Gaddis, M. J. Vandehaar, K. A. Weigel, H. M. White, F. Penagaricano, J. E. Koltes, J. E. P. Santos, R. L. Baldwin, J. F. Burchard, J. W. Durr, R. J. Tempelman
Summary: Residual feed intake (RFI) and feed saved (FS) are important feed efficiency traits that have been increasingly considered in genetic improvement programs. Recent developments in multiple-trait random regression (MTRR) modeling have allowed for more accurate inferences on RFI and FS, particularly considering the effect of change in metabolic body weight (MBW). Although computational challenges are present, the MTRR model offers an efficient strategy for incorporating a wide variety of data recording scenarios in genetic evaluations for feed efficiency.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Hongding Gao, Guosheng Su, Just Jensen, Per Madsen, Ole F. Christensen, Birgitte Ask, Bjarke G. Poulsen, Tage Ostersen, Bjarne Nielsen
Summary: The study found that group- and individual-level feed intake traits are genetically correlated but different. It is important to consider the differences between these traits in pig breeding programs. Adding information from individual records can improve prediction accuracy for animals with group records.
GENETICS SELECTION EVOLUTION
(2021)
Article
Agriculture, Dairy & Animal Science
Kerry Houlahan, Flavio S. Schenkel, Dagnachew Hailemariam, Jan Lassen, Morten Kargo, John B. Cole, Erin E. Connor, Silvia Wegmann, Oliveira Junior, Filippo Miglior, Allison Fleming, Tatiane C. S. Chud, Christine F. Baes
Summary: This study demonstrates that direct selection on residual feed intake can improve feed efficiency in dairy cattle, leading to higher economic response and more favorable selection responses for production and feed efficiency. As selection pressure on residual feed intake increases over time, the selection responses for production, health, and fertility traits may become less favorable.
Article
Agriculture, Multidisciplinary
M. M. Fathi, A. Galal, I. Al-Homidan, O. K. Abou-Emera, G. N. Rayan
Summary: Recent breeding programs aim to reduce production costs by genetically improving birds with negative residual feed intake, which require less feed to reach similar body weight and production performance. Birds with positive residual feed intake should be avoided in effective selection programs for breeders.
ANNALS OF AGRICULTURAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
P. Martin, V Ducrocq, A. Fischer, N. C. Friggens
Summary: The study demonstrates that utilizing a dynamic model can accurately estimate residual feed intake, even when analyzing merged datasets, yielding reliable results. High correlations were observed between different datasets. Compared to linear methods, the dynamic model allows regression coefficients to evolve in line with physiological changes throughout lactation.
Article
Agriculture, Dairy & Animal Science
P. Martin, V Ducrocq, D. G. M. Gordo, N. C. Friggens
Summary: A new approach was presented in dairy farming to study the correlations between milk production, live weight, dry matter intake, and body condition score during lactation using a multitrait random regression model. The model, tested on historical data, showed positive correlations between animal effects for milk, weight, and DMI, with a high accuracy in estimating Legendre polynomial coefficient scale correlations and performance in the presence of missing data.
Article
Genetics & Heredity
Changchun Lin, Weimin Wang, Deyin Zhang, Kai Huang, Yukun Zhang, Xiaolong Li, Yuan Zhao, Liming Zhao, Jianghui Wang, Bubo Zhou, Jiangbo Cheng, Dan Xu, Wenxin Li, Xiaoxue Zhang, Wenxin Zheng
Summary: This study identified differentially expressed miRNAs in sheep with high and low residual feed intake, and found that these miRNAs are primarily associated with metabolic processes and biosynthetic process regulation. The results provide a theoretical basis for understanding the molecular regulation of miRNAs in sheep liver related to feed efficiency.
FRONTIERS IN GENETICS
(2023)
Article
Biotechnology & Applied Microbiology
Kai Wang, Shujie Wang, Xiang Ji, Dong Chen, Qi Shen, Yang Yu, Weihang Xiao, Pingxian Wu, Jun Yuan, Yiren Gu, Guoqing Tang
Summary: This study conducted a genome-wide association study for feed conversion ratio (FCR) and residual feed intake (RFI) in Yorkshire pigs using whole-genome sequencing data. They identified novel SNPs associated with FCR and RFI and identified candidate genes related to these traits.
Article
Agriculture, Dairy & Animal Science
Malia J. Martin, J. R. R. Dorea, M. R. Borchers, R. L. Wallace, S. J. Bertics, S. K. DeNise, K. A. Weigel, H. M. White
Summary: The study aimed to develop and evaluate prediction models for DMI and RFI using different data streams, with models incorporating sensor-derived behavioral data (dataset MBS) showing the best performance.
JOURNAL OF DAIRY SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
William Herrera-Caceres, Yuliaxis Ramayo-Caldas, Juan Pablo Sanchez
Summary: In this study, the phenotypic information of 1,499 Duroc pigs was used to estimate the genetic parameters for production and feed efficiency traits during the fattening period. The estimated heritability patterns were fairly flat, and the trait with the lowest heritability was residual feed intake (RFI). The correlations between performance at different moments of the fattening period and those at 120 days were not always high, indicating some degree of genetic determinism variation along the studied period.