Article
Agriculture, Dairy & Animal Science
Weining Li, Zhaojun Wang, Shenghao Luo, Jianliang Wu, Lei Zhou, Jianfeng Liu
Summary: This study investigates the genetic architecture of feed efficiency (FE) and related traits in pig breeds. It identifies genetic relationships between FE and growth traits, and identifies SNPs and candidate genes associated with FE and FE-related traits. The study also identifies pathways involved in digestive and metabolic processes that are significantly associated with FE and FE-related traits. The results provide valuable information for the genomic selection of FE and FE-related traits in pigs.
Article
Agronomy
Kier G. Santiago, Sung-Hoon Kim, Bryan Irvine Lopez, Dong-Hui Lee, Young-Gyu Cho, Yu-Na Song, Kang-Seok Seo
Summary: The study aimed to estimate the genetic parameters of different feeding pattern traits in Duroc pigs and their genetic relationships with production traits and feed efficiency traits. The results showed that feeding pattern traits had potential in improving feed efficiency and production traits, but there were inconsistencies in genetic and phenotypic correlations with certain traits such as AOTD. Further research is needed to evaluate the impact of these feeding pattern traits at the phenotypic level.
Article
Veterinary Sciences
Desen Li, Min Huang, Zhanwei Zhuang, Rongrong Ding, Ting Gu, Linjun Hong, Enqin Zheng, Zicong Li, Gengyuan Cai, Zhenfang Wu, Jie Yang
Summary: Genetic differences were observed between American Duroc (AD) and Canadian Duroc (CD) pig lines, with AD pigs showing enrichment in gland development-related genes and CD pigs showing enrichment in immune-related genes. Selective region analysis revealed differences in lipid metabolism and skeletal muscle development genes between the two lines, potentially driving the differences in growth traits. This study provides a theoretical basis for selecting Duroc lines as sires based on different needs.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Biotechnology & Applied Microbiology
Dipendra Shahi, Jia Guo, Sumit Pradhan, Jahangir Khan, Muhsin Avci, Naeem Khan, Jordan McBreen, Guihua Bai, Matthew Reynolds, John Foulkes, Md Ali Babar
Summary: This study assessed the potential use of a multi-trait genomic prediction model in predicting complex traits in wheat. The results showed that the predictive ability of complex traits can be improved by incorporating correlated secondary traits. This finding is significant for accelerating breeding cycles and improving genetic gain in wheat and other crops.
Article
Agriculture, Dairy & Animal Science
Hossein Mehrban, Masoumeh Naserkheil, Deuk Hwan Lee, Noelia Ibanez-Escriche
Summary: The genetic parameters and correlations for feed efficiency, growth, and carcass traits in Hanwoo cattle were estimated. Heritability estimates were moderate for feed efficiency and growth traits, but tended to be higher for carcass traits. Feed efficiency traits were positively correlated with all carcass traits, while growth traits showed varying genetic correlations among each other.
Article
Agriculture, Dairy & Animal Science
Ebru Kaya Basar, Dogan Narinc
Summary: This study aimed to estimate heritabilities and genetic correlations among weekly body weight traits, Gompertz growth curve parameters, and feed efficiency characteristics in Japanese quails. The results showed high heritabilities for weekly body weight traits and moderate heritabilities for feed intake and feed conversion efficiency traits. The genetic correlations between feed intake and body weight traits were positive and moderate, while the genetic correlations between feed conversion efficiency and body weight traits were positive and strong. The study concluded that the negative genetic relationship between feed conversion efficiency and body weight may limit selection studies, and using the mature weight parameter as a selection criterion can enhance genetic gain.
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.
Article
Agriculture, Dairy & Animal Science
Juliana Mergh Leao, Sandra Gesteira Coelho, Camila Flavia de Assis Lage, Rafael Alves de Azevedo, Juliana Aparecida Mello Lima, Juliana Campos Carneiro, Alexandre Lima Ferreira, Fernanda Samarini Machado, Luiz Gustavo Ribeiro Pereira, Thierry Ribeiro Tomich, Hilton do Carmo Diniz Neto, Mariana Magalhaes Campos
Summary: Improvements in dairy cattle feed efficiency can reduce feeding costs and environmental impacts. However, correlations between blood, rumen, or morphometric markers and feed efficiency are low, indicating they may not be useful for early identification of more efficient animals.
Article
Fisheries
Junyu Liu, Ziheng Yin, Muzhi Zhou, Wenchao Yu, Weiwei You, Yexin Chen, Xuan Luo, Caihuan Ke
Summary: In this study, near infrared reflectance spectroscopy (NIRS) models were developed to estimate the collagen content and taurine content in Pacific abalone, and the prediction ability of four genomic selection models was assessed for the nutritional traits. The results showed potential for genomic selection in breeding programs for nutritional quality-related traits in Pacific abalone.
Article
Agriculture, Multidisciplinary
Zhang Zhe, Chen Zi-tao, Diao Shu-qi, Ye Shao-pan, Wang Jia-ying, Gao Ning, Yuan Xiao-long, Chen Zan-mou, Zhang Hao, Li Jia-qi
Summary: In a genome wide association study on Duroc pigs, 28 potential single nucleotide polymorphisms associated with growth and fatness traits were identified. Genes such as VPS4B and PHLPP1 were highlighted as plausible candidates contributing to the genetic architecture of porcine growth and fatness traits. These findings enhance our understanding of the genetic mechanisms underlying swine growth and fatness traits, with potential application in pig breeding programs.
JOURNAL OF INTEGRATIVE AGRICULTURE
(2021)
Article
Genetics & Heredity
Mehmet Kizilaslan, Yunus Arzik, Stephen N. White, Lindsay M. W. Piel, Mehmet Ulas Cinar
Summary: This study investigated the genetic architecture of growth and linear type traits in Akkaraman sheep, revealing several genes and genomic regions associated with these traits. The findings are of great importance for the development of efficient selection indices and marker-assisted selection programs, as well as for understanding the genetic architecture of growth and linear traits in sheep.
Article
Agriculture, Dairy & Animal Science
Rachel C. Pauling, Scott E. Speidel, Milton G. Thomas, Timothy N. Holt, R. Mark Enns
Summary: This study aimed to evaluate the genetic relationships between PAP, post-weaning growth traits, and ultrasound carcass traits in Angus cattle. The results showed weak genetic correlations between PAP and post-weaning gain and yearling weight, while a moderate genetic correlation was found between PAP and ultrasound ribeye area. The genetic correlations between PAP and ultrasound back fat, ultrasound intramuscular fat, and ultrasound rump fat were weak, suggesting no strong support for an antagonistic relationship between PAP and carcass ultrasound traits.
JOURNAL OF ANIMAL SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Guoyu Hu, Duy Ngoc Do, Pourya Davoudi, Ghader Manafiazar, Alyson A. Kelvin, Graham Plastow, Zhiquan Wang, Mehdi Sargolzaei, Younes Miar
Summary: This study estimated the genetic and phenotypic correlations between Aleutian disease (AD) tests and various traits in mink, including body weight, growth, and feed-related traits. The findings suggest that selecting AD tests does not have adverse effects on the growth, feed efficiency, and feed intake of mink. Additionally, the antigen-based enzyme-linked immunosorbent assay test could be considered a reliable and practical indicator trait for selecting AD-resilient mink on AD-positive farms.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Biology
Kier Gumangan Santiago, Bryan Irvine Lopez, Sung-Hoon Kim, Dong-Hui Lee, Young-Gyu Cho, Yu-Na Song, Kang-Seok Seo
Summary: The study estimated genetic parameters for different feed efficiency traits and found that RFI had low heritability in DD and YY, and moderate heritability in LL. Pen variance had a significant contribution to FE, and genetic correlation indicated that selecting against less complex RFI in DD and LL, as well as RFI2 in YY, could reduce feed intake without affecting daily weight gain, decrease backfat, and increase lean percentage.
Article
Genetics & Heredity
Miriam Piles, Rob Bergsma, Daniel Gianola, Helene Gilbert, Llibertat Tusell
Summary: Feature selection is crucial in high-dimensional datasets to prevent overfitting and reduce computation time. This research applied various FS algorithms and learners to predict feed efficiency in pigs, finding SVM and GB to be the best performers in accuracy and stability, especially with 500 or more SNPs.
FRONTIERS IN GENETICS
(2021)
Article
Microbiology
Yuqing He, Francesco Tiezzi, Jeremy Howard, Yijian Huang, Kent Gray, Christian Maltecca
Summary: This study explores the influence of gut microbiota on feeding behavior traits and identifies specific microbes associated with these traits in three commercial swine breeds at different growth stages. The results indicate that the gut microbial composition explains a small to moderate proportion of the variability in feeding behavior. Several archaea and bacteria are found to be significantly correlated with feeding behavior measures. These findings highlight the importance of the gut microbiome in interacting with host feeding behavior and provide insights into swine microbial studies.
Article
Genetics & Heredity
Yuqing He, Francesco Tiezzi, Jicai Jiang, Jeremy T. Howard, Yijian Huang, Kent Gray, Jung-Woo Choi, Christian Maltecca
Summary: This study investigates the use of feeding behavior and gut microbiome in predicting growth and body composition traits of finishing pigs, and finds that they provide non-redundant information for predicting porcine growth.
Article
Agriculture, Dairy & Animal Science
Yuqing He, Francesco Tiezzi, Jicai Jiang, Jeremy Howard, Yijian Huang, Kent Gray, Jung-Woo Choi, Christian Maltecca
Summary: This study evaluated the performance of eight different methods in estimating the diversity of gut microbiota composition and predicting the growth and body composition traits in pig breeds. The results showed that different methods had varying performance in predicting different traits and breeds, highlighting the importance of gut microbiome data in understanding complex traits in pigs with diverse genetic backgrounds.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Emmanuel A. Lozada-Soto, Francesco Tiezzi, Jicai Jiang, John B. Cole, Paul M. VanRaden, Christian Maltecca
Summary: Maintaining genetic diversity in dairy cattle is crucial for adaptation and fitness. This study characterized the genomic landscape of autozygosity and genetic diversity trends in 5 US dairy cattle breeds. The results showed variations in runs of homozygosity (ROH) among breeds and selection patterns for milk production, health, and reproduction. Inbreeding coefficients revealed differences in inbreeding accumulation among breeds. Furthermore, the effective population size has been decreasing historically.
JOURNAL OF DAIRY SCIENCE
(2022)
Review
Agriculture, Dairy & Animal Science
O. Gonzalez-Recio, M. Martinez-Alvaro, Francesco Tiezzi, A. Saborio-Montero, C. Maltecca, R. Roehe
Summary: The rumen microbiome plays a crucial role in methane emission in ruminants and has been the subject of extensive research in the past decade. High-throughput sequencing technologies have greatly expanded our knowledge of rumen microorganisms through metagenomic studies. Evidence shows that the composition of the rumen microbiota is influenced by the host's genotype, making modulation of the microbiota an important tool for breeding animals with lower emissions. This review discusses the challenges of metagenomic studies and proposes solutions, including incorporating metagenomic information into statistical models used in animal breeding. The latest advances in this field are also addressed.
Article
Nutrition & Dietetics
Brandon J. Eudy, Jack Odle, Xi Lin, Christian Maltecca, Kathleen R. Walter, Nathan P. McNulty, Vivek Fellner, Sheila K. Jacobi
Summary: This study evaluated the effects of arachidonate (ARA) and/or prebiotic oligosaccharide (PRE) supplementation in formula on the development of the microbial ecosystem and colonic health parameters. The results showed that PRE supplementation increased the abundance of specific bacterial genera and concentrations of short-chain fatty acids (SCFA), benefiting intestinal development. ARA supplementation increased the ARA content in the colonic mucosa and increased the unsaturation of fatty acids.
JOURNAL OF NUTRITION
(2023)
Article
Biochemistry & Molecular Biology
Feng Wang, Chaolai Man, Xiaoqiu Wang, Jack Odle, Christian Maltecca, Xi Lin
Summary: Maternal undernutrition during pregnancy can lead to severe fetal impairments, but the exact mechanisms are not fully understood. This study investigated the potential impacts of restricted nutrition on metabolic pathways in fetal pigs. The results revealed differential expression of mRNA and miRNA, as well as alterations in metabolic and signaling pathways. These findings provide valuable insights into the negative effects of maternal malnutrition on hepatic metabolism in full-term fetal pigs via miRNA-mRNA interactions.
JOURNAL OF NUTRITIONAL BIOCHEMISTRY
(2023)
Article
Ecology
Sahana Kuthyar, Jessica Diaz, Fabiola Avalos-Villatoro, Christian Maltecca, Francesco Tiezzi, Robert R. Dunn, Aspen T. Reese
Summary: Animal domestication affects the gut microbiome and immune state of pig populations. The main differences in the gut microbiome are found between wild and domestic genetic lineages.
JOURNAL OF EVOLUTIONARY BIOLOGY
(2023)
Article
Agriculture, Dairy & Animal Science
Jay S. Johnson, Hui Wen, Pedro H. F. Freitas, Jacob M. Maskal, Sharlene O. Hartman, MaryKate Byrd, Jason R. Graham, Guadalupe Ceja, Francesco Tiezzi, Christian Maltecca, Yijian Huang, Ashley DeDecker, Allan P. Schinckel, Luiz F. Brito
Summary: Climate change and global warming have a negative impact on swine production, so improving swine heat stress resilience is crucial. Genomic selection for heat stress resilience could be an effective strategy. This study identified environmental conditions for heat stress and determined phenotypes that predict heat stress tolerance in lactating sows. The findings can be applied to develop or refine genomic selection indexes for heat stress resilience in pigs.
JOURNAL OF ANIMAL SCIENCE
(2023)
Article
Biochemical Research Methods
Jian Cheng, Christian Maltecca, Paul M. VanRaden, Jeffrey R. O'Connell, Li Ma, Jicai Jiang
Summary: SLEMM is a new software tool for large-scale genomic prediction, which can improve prediction accuracy through SNP weighting. Extensive analyses on multiple datasets showed that SLEMM had the best predictive ability and computational performance compared to other genomic prediction methods. Simulation analyses also demonstrated that SLEMM had comparable accuracy to BayesR.
Meeting Abstract
Agriculture, Dairy & Animal Science
MaryKate Byrd, Luiz F. F. Brito, Hui Wen, Pedro H. F. Freitas, Sharlene Hartman, Jacob M. Maskal, Yijian Huang, Francesco Tiezzi, Christian Maltecca, Allan P. Schinckel, Jay S. Johnson
JOURNAL OF ANIMAL SCIENCE
(2023)
Meeting Abstract
Agriculture, Dairy & Animal Science
Christiana O. Obari, Bayode O. Makanjuola, Flavio S. Schenkel, Filippo Miglior, Christian Maltecca, Christine F. Baes
JOURNAL OF ANIMAL SCIENCE
(2023)
Meeting Abstract
Agriculture, Dairy & Animal Science
Junjian Wang, Christian Maltecca, Francesco Tiezzi, Yijian Huang, Jicai Jiang
JOURNAL OF ANIMAL SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Vanille Deru, Francesco Tiezzi, Celine Carillier-Jacquin, Benoit Blanchet, Laurent Cauquil, Olivier Zemb, Alban Bouquet, Christian Maltecca, Helene Gilbert
Summary: The study found that the gut microbiota significantly influenced the phenotypic variability of digestive efficiency traits, even more than host genetics. The use of microbiota information could enhance the selection of digestive efficiency traits, and to a lesser extent, growth and feed efficiency traits. Filtering OTU is an important step that influences microbiability.
GENETICS SELECTION EVOLUTION
(2022)
Article
Agriculture, Dairy & Animal Science
Emmanuel Andre Lozada-Soto, Daniela Lourenco, Christian Maltecca, Justin Fix, Clint Schwab, Caleb Shull, Francesco Tiezzi
Summary: The value of using genomic information for genetic improvement in pork production depends on the traits and the source of genomic information. Including genomic information of crossbred individuals is more beneficial than multi-trait prediction for most traits.
GENETICS SELECTION EVOLUTION
(2022)