Article
Agriculture, Dairy & Animal Science
Napoleon Vargas Jurado, David R. Notter, Joshua B. Taylor, Daniel J. Brown, Michelle R. Mousel, Ronald M. Lewis
Summary: Both direct and maternal heterosis have a positive impact on birth and post-natal weights in crossbred lambs. These heterotic effects can be used as adjustment factors in multi-breed genetic evaluations. This study highlights the importance of incorporating crossbred records and accounting for heterotic and breed effects in the genetic evaluation of U.S. sheep.
JOURNAL OF ANIMAL SCIENCE
(2022)
Review
Agriculture, Dairy & Animal Science
Jamil E. G. Faccin, Mike D. Tokach, Robert D. Goodband, Joel M. DeRouchey, Jason C. Woodworth, Jordan T. Gebhardt
Summary: Proper gilt development is essential for improving offspring performance and survivability through increasing gilt longevity and colostrum/milk production. It involves selecting gilts with a birth weight above 1 kg, prioritizing colostrum/milk intake, and weaning at the appropriate age. Attention should be given to nutrition, feeding management, and proper body condition during the grower phase and gestation. Correct boar exposure, reaching the target weight at breeding, and maintaining body reserves without over-conditioning at farrowing are also important. The proper development of gilts directly impacts the livability of their offspring by increasing colostrum/milk production, while the increased longevity indirectly improves livability by enhancing the growth and survival rate of offspring from older sows.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Rafik Belabbas, Rym Ezzeroug, Ali Berbar, Maria de la Luz Garcia, Ghania Zitouni, Djamel Taalaziza, Zoulikha Boudjella, Nassima Boudahdir, Samir Diss, Maria-Jose Argente
Summary: The survival of newborn kits in the first hours after farrowing is related to their birth weight. This study aimed to estimate the heritabilities of kit survival at birth and weaning, as well as birth weight, and the genetic correlations between these traits. The results showed that birth weight has a substantial potential for improving kit survival at birth through selection.
Article
Agriculture, Dairy & Animal Science
Juan M. Vazquez-Mosquera, Eduardo de Mercado, Aitor Fernandez-Novo, Juan C. Gardon, Jose L. Pesantez-Pacheco, Maria Luz Perez-Solana, Angel Revilla-Ruiz, Daniel Martinez, Arantxa Villagra, Francisco Sebastian, Sonia S. Perez-Garnelo, Susana Astiz
Summary: Cattle growth is crucial for beef production. This study shows that purebred and crossbred Wagyu steers raised in Spain with high welfare standards and a local diet high in olein content exhibited appropriate growth and fattening rates. Wagyu and Wangus steers had similar growth rates, but purebred Wagyu may be more profitable.
Article
Agriculture, Dairy & Animal Science
J. F. Vazquez-Armijo, A. Salvador-Caceres, N. Lopez-Villalobos, J. B. Herrera-Ojeda, A. Garcia-Medina, G. M. Parra-Bracamonte
Summary: This study assessed the impact of non-genetic factors, breed, and heterosis on birth weight and weaning weight in crossbred dairy kids, and estimated genetic parameters of these traits. Results showed that non-genetic factors play a significant role, with moderate heritabilities for direct genetic effects and substantial maternal genetic effects. Consideration of both non-genetic and genetic factors is crucial for designing management strategies to enhance future performance of dairy goats.
JOURNAL OF ANIMAL AND FEED SCIENCES
(2021)
Article
Agriculture, Dairy & Animal Science
David N. Kelly, Roy D. Sleator, Craig P. Murphy, Stephen B. Conroy, Donagh P. Berry
Summary: The study found weak phenotypic correlations but strong genetic correlations between feeding behavior and ultrasound and carcass traits in growing crossbred Bos taurus cattle, suggesting that selection for improved carcass merit may lead to changes in feeding behavior.
JOURNAL OF ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Anil Sigdel, Rafael S. Bisinotto, Francisco Penagaricano
Summary: This study provides evidence that fetal loss is heritable and can be reduced through genetic selection. Fetal loss is largely independent from current breeding efforts to improve cow fertility.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Javad Ahmadpanah, Alireza Seidavi, Abbas Safari, Sajad Badbarin, Imtiaz Khan, Maria Antonietta Colonna, Vincenzo Tufarelli, Maria Selvaggi
Summary: This study aimed to estimate the heritability values and determine the genetic and phenotypic correlation between stillbirth rate and birth weight in a river buffalo population. The results showed that birth weight could be an important factor in reducing stillbirth rate.
REPRODUCTION IN DOMESTIC ANIMALS
(2023)
Article
Agriculture, Dairy & Animal Science
Amelie Mugnier, Virginie Gaillard, Sylvie Chastant
Summary: Low birth weight is identified as a major determinant for neonatal survival in a large feline purebred population. The study established cut-off values for birth weight to identify at-risk kittens, with 19.7% classified as low birth weight and 1.9% as very low birth weight.
Article
Medicine, General & Internal
Simeon Meskele Leyto, Kusse Urmale Mare
Summary: Placental parameters, particularly weight and thickness, as well as gestational age, have a significant influence on low birth weight. Therefore, proper examination of the placenta should be performed routinely following delivery for better newborn care.
INTERNATIONAL JOURNAL OF GENERAL MEDICINE
(2022)
Article
Multidisciplinary Sciences
Suvo Chatterjee, Marion Ouidir, Fasil Tekola-Ayele
Summary: Evidence of significant shared genetic influences between birth weight and childhood obesity traits were found, with pleiotropic loci enriched for regulatory features in skeletal muscle, adipose and brain tissues and in cell lines derived from blood lymphocytes. This suggests substantial shared genetic effects in the regulation of both fetal growth and childhood obesity.
SCIENTIFIC REPORTS
(2021)
Article
Multidisciplinary Sciences
Nicole M. Warrington, Liang-Dar Hwang, Michel Nivard, David M. Evans
Summary: Estimation of direct and indirect genetic effects on phenotypes is crucial for genetic analyses, and Genomic SEM outperforms other methods in accurately estimating conditional genetic effects. By applying Genomic SEM to fertility data, researchers successfully partition genetic effects and identify a novel locus for fertility, as well as genetic correlations with other traits.
NATURE COMMUNICATIONS
(2021)
Article
Obstetrics & Gynecology
Xiaojuan Wang, Shuoping Zhang, Yifan Gu, Shujuan Ma, Yangqin Peng, Fei Gong, Hongzhuan Tan, Ge Lin
Summary: The objective of this study was to investigate whether the associations between blastocyst morphological parameters (degree of blastocyst expansion, appearance of trophectoderm, and inner cell mass) and live birth and singleton birth weight are influenced by blastocyst freezing and biopsy. The results showed that blastocyst freezing, biopsy, and/or genetic testing may affect the associations between blastocyst morphological parameters and live birth and birth weight.
FERTILITY AND STERILITY
(2023)
Article
Public, Environmental & Occupational Health
Meng Yang, Hong Mei, Juan Du, Linling Yu, Liqin Hu, Han Xiao
Summary: This study investigated the specific association of birth weight with lung function and the risk of asthma in children. The results showed a non-linear association between birth weight and lung function metrics, with a turning point at 3.6 kg. There was also a possible non-linear relationship between birth weight and the risk of asthma.
FRONTIERS IN PUBLIC HEALTH
(2022)
Article
Agriculture, Dairy & Animal Science
Natalia Galoro Leite, Ching-Yi Chen, William O. Herring, Justin Holl, Shogo Tsuruta, Daniela Lourenco
Summary: This study aimed to investigate the impact of using imputed CB genotypes on the predictability and bias of purebred sires' genomic breeding values for CB performance. Results showed that incorporating CB genotypes imputed from a low-density panel did not improve predictability or reduce bias, suggesting limited benefit for using these genotypes to offset CB phenotyping.
JOURNAL OF ANIMAL SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Enyew Negussie, Oscar Gonzalez-Recio, Mara Battagin, Ali-Reza Bayat, Tommy Boland, Yvette de Haas, Aser Garcia-Rodriguez, Philip C. Garnsworthy, Nicolas Gengler, Michael Kreuzer, Bjoern Kuhla, Jan Lassen, Nico Peiren, Marcin Pszczola, Angela Schwarm, Helene Soyeurt, Amelie Vanlierde, Tianhai Yan, Filippo Biscarini
Summary: This study compares the performance of machine learning algorithm random forest (RF) and multiple linear regression (MLR) models in predicting methane emissions from dairy cows. The results show that RF models outperform MLR models in accuracy when dry matter intake (DMI) is included in the model. Imputing missing data points improves prediction accuracy.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Nina Ogrinc, Serge Schneider, Adele Bourmaud, Nicolas Gengler, Michel Salzet, Isabelle Fournier
Summary: Cannabis and hemp-based products are increasingly popular and require rapid detection of phytocannabinoids. SpiderMass technology allows for in vivo detection, differentiation of cultivars, and analysis of distribution gradients within plants, making it a valuable analytical alternative for hemp analysis.
Article
Agriculture, Dairy & Animal Science
Hadi Atashi, Yansen Chen, Helene Wilmot, Sylvie Vanderick, Xavier Hubin, Nicolas Gengler
Summary: This study estimated genetic parameters and identified genomic regions associated with milk urea concentration (MU) in Dual-Purpose Belgian Blue (DPBB) cows. The results showed different groups of candidate genes underlying the phenotypic expression of MU between parities and among different lactation stages within a parity.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2022)
Article
Agriculture, Dairy & Animal Science
Y. Chen, H. Atashi, C. Grelet, S. Vanderick, H. Hu, N. Gengler
Summary: This study explores the relationship between 3 milk mid-infrared predicted features, integrates them into an N efficiency index, and analyzes the genetic correlations between the NEI and 37 traits of interest. The study also assesses the potential effect of including the NEI into breeding programs. The results show that the NEI has positive genetic correlations with production yield traits and negative genetic correlations with functional traits and indices.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
S. Franceschini, C. Grelet, J. Leblois, N. Gengler, H. GplusE Consortium, H. Soyeurt, M. Crowe, N. MeLoughlin, A. Fahey, F. Carter, E. Matthews, A. Santoro, C. Byrne, P. Rudd, R. O'Flaherty, S. Hallinan, C. Wathes, M. Salavati, Z. Cheng, A. Fouladi, G. Pollott, D. Werling, B. Sanz Bernardo, C. Ferris, A. Wylie, M. Bell, M. Vaneetvelde, K. Hermans, M. Hostens, G. Opsomer, S. Moerman, J. De Koster, H. Bogaert, J. Vandepitte, L. Vanervelde, B. Vanranst, K. Ingvartsen, M. Tang Sorensen, J. Hoglund, S. Dahl, S. Ostergaard, J. Rothmaan, M. Krogh, E. Meyer, L. Foldager, C. Gaillard, J. Ettema, T. Rousing, T. Larsen, V. H. Silva De Oilveira, C. Marchitelli, F. McClure, D. Mathews, F. Kearney, A. Cromie, M. McClure, S. Zheng, X. Chen, H. Chen, J. Zhao, L. Yang, G. Hua, C. Tan, G. Wang, M. Bonneau, M. Sciarretta, A. Pearn, A. Evertson, L. Kosten, A. Fogh, T. Andersen, M. Lucy, C. Elsik, G. Conant, J. Taylor, D. Triant, N. Gengler, M. Georges, F. Colinet, M. Ramos Pampona, H. Hammami, C. Bastin, H. Takeda, A. Laine, A. Van Laere, R. Mota, S. Nadri Darbagshahi, F. Dehareng, C. Grelet, A. Vanlierde, E. Froidmont, F. Becker, M. Schulze, S. Palma Vera
Summary: In this study, a holistic approach using big data from milk recording was proposed to assess dairy cow health status. By analyzing the data with unsupervised learning algorithms and validating the results, the study showed the potential to monitor dairy cows on a large scale and detect health disorders.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Lisa Rienesl, Negar Khayatzdadeh, Astrid Koeck, Christa Egger-Danner, Nicolas Gengler, Clement Grelet, Laura Monica Dale, Andreas Werner, Franz-Josef Auer, Julie Leblois, Johann Soelkner
Summary: Mid-infrared spectroscopy has the potential to predict clinical mastitis in dairy cows and can be used as a supplementary tool for mastitis monitoring and the genetic evaluation of udder health.
Article
Agriculture, Dairy & Animal Science
Jose Teodoro Paiva, Rodrigo Reis Mota, Paulo Savio Lopes, Hedi Hammami, Sylvie Vanderick, Hinayah Rojas Oliveira, Renata Veroneze, Fabyano Fonseca e Silva, Nicolas Gengler
Summary: The study demonstrates that single-step GBLUP based on random regression models is feasible for genomic prediction of daily milk production and fatty acid traits in Holstein dairy cattle. The results show positive genetic correlations between milk yield and fat and protein yield, while negative correlations were observed between fat and protein contents, and between milk yield and milk fatty acids. Using optimal parameters improves the reliability and accuracy of genomic evaluations.
JOURNAL OF DAIRY RESEARCH
(2022)
Article
Agriculture, Dairy & Animal Science
H. Atashi, C. Bastin, H. Wilmot, S. Vanderick, X. Hubin, N. Gengler
Summary: This study estimated genetic parameters and identified genomic regions associated with selected cheese-making properties in Dual-Purpose Belgian Blue (DPBB) cows. The results showed different sets of candidate genes for cheese-making traits between parities and lactation stages, which is important for future improvements in DPBB cows' traits.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
H. Wilmot, T. Druet, I. Hulsegge, N. Gengler, M. P. L. Calus
Summary: Enhancing collaboration between related breeds is crucial for improving competitiveness and sustainability of local breeds. Developing an across-breed reference population can better manage local breeds, but how different red-pied cattle breeds collaborate in the Benelux region is unclear. This study aims to estimate inbreeding levels, determine genomic relatedness, and detect genomically close animals for building a reference population for two endangered breeds.
Article
Agriculture, Dairy & Animal Science
Y. Chen, H. Atashi, C. Grelet, R. R. Mota, S. Vanderick, H. Hu, N. Gengler
Summary: This study aimed to identify genomic regions associated with NEI and its composition traits, and analyze their functional annotation. Three genomic regions were found to explain the largest proportion of genetic variation in NEI and its composition traits, and 16 candidate genes were identified. The study provides insights into the genetic mechanisms underlying N use efficiency-related traits.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Computer Science, Information Systems
Olivier Debauche, Jean Bertin Nkamla Penka, Moad Hani, Adriano Guttadauria, Rachida Ait Abdelouahid, Kaouther Gasmi, Ouafae Ben Hardouz, Frederic Lebeau, Jerome Bindelle, Helene Soyeurt, Nicolas Gengler, Pierre Manneback, Mohammed Benjelloun, Carlo Bertozzi
Summary: This paper describes the conceptualization, implementation, and testing of a new architecture that proposes a use case agnostic processing chain. The proposed architecture is mainly built around the Apache Submarine, an unified Machine Learning platform that facilitates the training and deployment of algorithms. Internet of Things data are collected and formatted at the edge level, while open data and blockchain data are directly processed at the cloud level via Blockchain Access Layer. Finally, the data are preprocessed to feed scalable machine learning algorithms.
Article
Agriculture, Dairy & Animal Science
Y. Chen, H. Atashi, R. R. Mota, C. Grelet, S. Vanderick, H. Hu, GplusE Consortium, N. Gengler
Summary: This study validated the genomic prediction for NEI and its composition traits and investigated the relationship between SNP effects estimated directly from NEI and indirectly from its composition traits.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2023)
Article
Agriculture, Dairy & Animal Science
H. Atashi, Y. Chen, H. Wilmot, S. Vanderick, X. Hubin, H. Soyeurt, N. Gengler
Summary: The aim of this study was to estimate genetic parameters and identify genomic regions associated with milk fatty acids in Dual-Purpose Belgian Blue cows. The study found that the heritability of milk fatty acid traits varied between different parities and lactation stages. Genome-wide association analyses identified several genomic regions associated with milk fatty acid traits.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
H. Atashi, Y. Chen, H. Wilmot, C. Bastin, S. Vanderick, X. Hubin, N. Gengler
Summary: This study aimed to identify genomic regions associated with milk production and cheese-making properties in Walloon Holstein cows through a genome-wide association study. Several genomic regions and candidate genes related to the studied traits were identified.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Helene Wilmot, Tobias Niehoff, Helene Soyeurt, Nicolas Gengler, Mario P. L. Calus
Summary: To develop a breed assignment model, three main steps are generally followed: the selection of breed informative single nucleotide polymorphism (SNP); the training of a model based on a reference population to classify animals to their breed of origin; and the validation of the developed model on external animals. However, there is no consensus on the methodology for SNP selection. This study proposes the use of a genomic relationship matrix (GRM) for breed assignment, which was compared with a model based on selected SNP.
JOURNAL OF ANIMAL SCIENCE
(2023)