Article
Agriculture, Dairy & Animal Science
M. Bohlouli, K. Halli, T. Yin, N. Gengler, S. Koenig
Summary: This study aimed to investigate the effects of climate on milk fatty acid composition, identify candidate genes associated with heat stress, and estimate breeding values and genetic parameters based on changes in the temperature-humidity index.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Daniel Polasik, Jacek Golinczak, Witold Proskura, Arkadiusz Terman, Andrzej Dybus
Summary: The study aimed to detect polymorphisms in the THRSP gene and analyze their impact on fatty acid composition in milk of Jersey and Holstein-Friesian cattle. A significant association between the analyzed SNP and fatty acid content in milk was found, suggesting its potential as a marker for milk quality improvement. Variants of the THRSP gene may play a role in the de novo synthesis of fatty acids in lactating mammary glands, with differing activity levels.
Article
Genetics & Heredity
Daniela Elena Ilie, Alexandru Eugeniu Mizeranschi, Ciprian Valentin Mihali, Radu Ionel Neam, George Vlad Goilean, Ovidiu Ionut Georgescu, Daniela Zaharie, Mihai Carabas, Ioan Hutu
Summary: This study conducted the first GWAS for somatic cell score (SCS) in Romanian dairy cattle breeds, identifying one significant SNP associated with SCS and 40 suggestive SNPs. The results contribute to expanding the knowledge on genetic variability explained by SNPs for SCS in dairy cattle.
Article
Agriculture, Dairy & Animal Science
Erin Massender, Hinayah R. Oliveira, Luiz F. Brito, Laurence Maignel, Mohsen Jafarikia, Christine F. Baes, Brian Sullivan, Flavio S. Schenkel
Summary: This study performed a single-step GWAS for milk production and conformation traits in Canadian Alpine and Saanen breeds, and identified positional and functional candidate genes related to these traits. The results showed the economic importance of several candidate genes previously reported in other dairy goat populations, and also discovered some novel candidate genes. This study provided greater insight into the genetic architecture of milk production and conformation traits in Canadian Alpine and Saanen populations, and can help improve dairy goat breeding programs.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
Sabrina de Freitas Vieira, Sandra Gesteira Coelho, Hilton do Carmo Diniz Neto, Hemily Cristina Menezes de Sa, Barbara Pironi Pereira, Bianca Souza Ferreira Albuquerque, Fernanda Samarini Machado, Luiz Gustavo Ribeiro Pereira, Thierry Ribeiro Tomich, Isis Rodrigues Toledo Renhe, Mariana Magalhaes Campos
Summary: The study found that feeding waste milk and pasteurized waste milk did not have significant negative effects on the intake, ruminal parameters, blood parameters, health, or performance of dairy calves.
Article
Food Science & Technology
Francesca Bennato, Andrea Ianni, Marco Florio, Lisa Grotta, Francesco Pomilio, Maria Antonietta Saletti, Giuseppe Martino
Summary: The present study evaluated the effects of grape pomace on milk yield, chemical-nutritional characteristics, antioxidant activity, fatty acids, and protein profile of dairy ewe's milk. The results showed that adding 10% grape pomace did not affect milk yield and composition, but significantly changed the fatty acid composition.
Article
Food Science & Technology
Sabrina Ormston, Nanbing Qin, Gergely Faludi, Joe Pitt, Alan W. Gordon, Katerina Theodoridou, Tianhai Yan, Sharon A. Huws, Sokratis Stergiadis
Summary: Interest in organic cows' milk has increased due to its perceived superior nutritional quality and improved sustainability and animal welfare. This study assessed the impact of organic vs. conventional management on milk yield, composition, and fatty acid profile. The results showed that conventional farms had higher milk yields and contents of protein, fat, and other components, but organic farms produced more milk and fat per kg of offered feed. Organic milk had higher concentrations of certain beneficial fatty acids, while conventional milk had higher concentrations of monounsaturated fatty acids. Considering the small differences in fatty acid profiles, increasing pasture intake can benefit farm sustainability without negatively impacting consumer nutrition and health.
Article
Agronomy
Mikyung Sung, Kyujung Van, Sungwoo Lee, Randall Nelson, Jonathan LaMantia, Earl Taliercio, Leah K. McHale, M. A. Rouf Mian
Summary: This study analyzed the fatty acid composition of 621 soybean accessions grown in five different environments using gas chromatography. Through genome-wide association analysis, 43 genomic regions significantly associated with fatty acids were identified, including novel regions and previously reported loci. The results provide new insights into the genetics of soybean fatty acids and confirm the importance of certain genetic loci in determining fatty acid composition.
MOLECULAR BREEDING
(2021)
Article
Agriculture, Dairy & Animal Science
Anna Maria Sutera, Rosalia Di Gerlando, Salvatore Mastrangelo, Maria Teresa Sardina, Enrico D'Alessandro, Baldassare Portolano, Marco Tolone
Summary: This study conducted a GWAS for milk production traits in Valle del Belice sheep and identified 23 significant SNPs associated with milk yield, fat and protein percentage and yield. These SNPs provide useful information for understanding the genetic mechanisms underlying milk production and quality traits in dairy sheep.
ITALIAN JOURNAL OF ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Jalil Ghassemi Nejad, Bae-Hun Lee, Ji-Yung Kim, Kyung-Il Sung, Hong-Gu Lee
Summary: The study showed that grazing dairy cows in mountainous areas for 12 hours can have beneficial effects on milk fatty acid profile and decrease stress levels, without significant changes in milk yield compared to confined settings.
Article
Agriculture, Dairy & Animal Science
C. L. Manuelian, V. Vigolo, S. Burbi, F. Righi, M. Simoni, M. De Marchi
Summary: This study compared organic and conventional milk from farms in Northern Italy, finding that overall milk composition did not significantly differ between the two farming systems. Differences were observed in protein content and somatic cell score, with organic milk having lower protein content and higher somatic cell score compared to conventional milk. Factors such as breed and diet ingredients were found to influence milk composition.
JOURNAL OF DAIRY SCIENCE
(2022)
Article
Agriculture, Dairy & Animal Science
Thalita Polyana Monteiro Araujo, Dorgival Morais de Lima Jr, Erica Carla Lopes da Silva, Maria Luciana Menezes Wanderley Neves, Kelly Cristina dos Santos, Marcelo de Andrade Ferreira, Joao Paulo Ismerio Monnerat, Susana Paula Almeida Alves, Rui Jose Branquinho de Bessa, Francisco Fernando Ramos de Carvalho
Summary: This study evaluated the effect of cactus species in the diets of dairy goats on feed efficiency, milk yield, and milk and cheese composition. The results showed that including cactus cladodes in the diets increased the intake and digestibility of non-fibrous carbohydrates and reduced the intake and digestibility of neutral detergent fiber. Furthermore, it increased milk yield and improved the composition and sensory attributes of the cheese.
ANIMAL FEED SCIENCE AND TECHNOLOGY
(2023)
Review
Agriculture, Dairy & Animal Science
Holger Martens
Summary: The increase in milk production has led to inadequate dry matter intake by cows, causing a negative energy balance. High-producing cows experience metabolic changes such as fat mobilization and triglyceride deposition in the liver, leading to subclinical and clinical diseases. The prioritization of milk yield in high-producing cows can result in health risks due to the uncoupling of the GH-IGF-1 axis and continued metabolic stress.
Article
Agriculture, Dairy & Animal Science
Z. Klir Salavardic, J. Novoselec, M. Didara, Z. Steiner, S. Cavar, A. Modic Sabic, Z. Antunovic
Summary: The study showed that feeding hempseed cake did not affect milk yield in goats, but HC12 group had higher milk urea concentration than the control group. Under the conditions evaluated in this study, inclusion of HC6 in the diet was optimal for the chemical composition of milk and haemato-chemical parameters.
Article
Veterinary Sciences
Einar Vargas-Bello-Perez, Jaloliddin Khushvakov, Yongxin Ye, Nanna Camilla Pedersen, Hanne Helene Hansen, Lilia Ahrne, Bekzod Khakimov
Summary: This study investigated the impact of two different sources of unsaturated fatty acids on the milk foodome in dairy goats. The results showed that supplementing with sunflower oil increased the levels of 2-hydroxyisovaleric acid, oxaloacetic acid, and taurine in goat milk, while supplementing with rapeseed oil increased the levels of glucose-1-phosphate. This highlights the importance of foodomics in studying changes in milk chemistry due to feeding regimes.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Biotechnology & Applied Microbiology
Young-Lim Lee, Mirte Bosse, Erik Mullaart, Martien A. M. Groenen, Roel F. Veerkamp, Aniek C. Bouwman
Article
Genetics & Heredity
Aniek Bouwman, Anatolli Savchuk, Abouzar Abbaspourghomi, Bram Visser
FRONTIERS IN GENETICS
(2020)
Article
Biotechnology & Applied Microbiology
Aniek C. Bouwman, Martijn F. L. Derks, Marleen L. W. J. Broekhuijse, Barbara Harlizius, Roel F. Veerkamp
Article
Genetics & Heredity
Biaty Raymond, Loic Yengo, Roy Costilla, Chris Schrooten, Aniek C. Bouwman, Ben J. Hayes, Roel F. Veerkamp, Peter M. Visscher
Article
Genetics & Heredity
Young-Lim Lee, Haruko Takeda, Gabriel Costa Monteiro Moreira, Latifa Karim, Erik Mullaart, Wouter Coppieters, Ruth Appeltant, Roel F. Veerkamp, Martien A. M. Groenen, Michel Georges, Mirte Bosse, Tom Druet, Aniek C. Bouwman, Carole Charlier
Summary: This study identified a multi-allelic copy number variant (CNV) in the Dutch dairy cattle population, which is in perfect linkage disequilibrium with a lead SNP for Clinical Mastitis (CM) resistance. The CNV is associated with increased expression of the group-specific component gene (GC) and low CM resistance, suggesting a potential causal variant for CM resistance QTL. Additionally, the multiplicated allele showed pleiotropic effects for increased milk yield and reduced fertility, indicating a shared underlying biology related to the vitamin D pathway.
Article
Agriculture, Dairy & Animal Science
Ina Hulsegge, Kor Oldenbroek, Aniek Bouwman, Roel Veerkamp, Jack Windig
Summary: Over the past century, genetic diversity in cattle breeds has been impacted by the replacement of traditional local breeds with a few milk-producing breeds. In the Netherlands, the genetic diversity of the local Dutch Friesian breed has decreased due to being replaced by Holstein Friesians, but this did not result in increased inbreeding levels.
Article
Biotechnology & Applied Microbiology
Young-Lim Lee, Mirte Bosse, Haruko Takeda, Gabriel Costa Monteiro Moreira, Latifa Karim, Tom Druet, Claire Oget-Ebrad, Wouter Coppieters, Roel F. Veerkamp, Martien A. M. Groenen, Michel Georges, Aniek C. Bouwman, Carole Charlier
Summary: This study aimed to generate and explore a high-quality bovine structural variant (SV) catalogue and discovered two high impact duplications affecting gene expression. These duplications are associated with postpartum feed intake and hoof health traits. However, most copy number variants (CNVs) were not captured by the 50K genotyping array.
Article
Biotechnology & Applied Microbiology
Marije J. Steensma, Y. L. Lee, A. C. Bouwman, C. Pita Barros, M. F. L. Derks, M. C. A. M. Bink, B. Harlizius, A. E. Huisman, R. P. M. A. Crooijmans, M. A. M. Groenen, H. A. Mulder, C. M. Rochus
Summary: This study identified four de novo structural variants (dnSVs) in pig germline, all located in intronic regions of protein-coding genes. The study provides an estimation of the dnSV rate in the pig germline and highlights the complexity of dnSVs.
Article
Agriculture, Dairy & Animal Science
Aniek C. Bouwman, Ina Hulsegge, Rachel J. Hawken, John M. Henshall, Roel F. Veerkamp, Dirkjan Schokker, Claudia Kamphuis
Summary: This study aimed to develop a deep learning Convolutional Neural Network (CNN) classification model based on chromosome level plots of SNP array intensity data that can classify images into diploid, monosomic, and trisomic cases. The supervised CNN model performed better than an unsupervised k-means clustering and can be used for routine screening in large diploid populations to avoid anomalies in breeding candidates.
JOURNAL OF ANIMAL BREEDING AND GENETICS
(2023)
Review
Agriculture, Dairy & Animal Science
G. Sahana, Z. Cai, M. P. Sanchez, A. C. Bouwman, D. Boichard
Summary: Genotype data from dairy cattle selection programs greatly facilitate GWAS to identify variants related to economic traits. Results can enhance the accuracy of genomic prediction, analyze more complex models, elucidate the genetic architecture of a trait, and decipher the underlying biology of traits.
JOURNAL OF DAIRY SCIENCE
(2023)
Article
Agriculture, Dairy & Animal Science
J. E. Doornweerd, G. Kootstra, R. F. Veerkamp, B. de Klerk, I. Fodor, M. van der Sluis, A. C. Bouwman, E. D. Ellen
Summary: Phenotyping individual animals can be challenging and time-consuming, especially for traits related to health and performance. However, individual broiler behavior can serve as a reliable proxy for these traits when recorded automatically using sensors. In this study, a comparison was made between a passive RFID system and video tracking for determining the location and movement of broilers.
Article
Agriculture, Dairy & Animal Science
J. E. Doornweerd, R. F. Veerkamp, B. de Klerk, M. van der Sluis, A. C. Bouwman, E. D. Ellen, G. Kootstra
Summary: Tracking group-housed individual broilers using video can provide valuable information on their health, welfare, and performance. This study conducted a comprehensive analysis on broiler tracking on video and potential tracking errors, highlighting the potential and challenges of phenotyping broiler locomotion. The results emphasized the importance of addressing tracking errors, potential algorithm improvements, and the need for an external animal identification system for efficient locomotion phenotyping.
Article
Agriculture, Dairy & Animal Science
Jan Erik Doornweerd, Gert Kootstra, Roel F. Veerkamp, Esther D. Ellen, Jerine A. J. van der Eijk, Thijs van de Straat, Aniek C. Bouwman
Summary: Animal pose-estimation networks can automatically estimate key body points in images or videos, but their performance may be poorer when trained on multi-species data. Across species predictions showed higher errors and lower usefulness for pose and gait assessments.
FRONTIERS IN ANIMAL SCIENCE
(2021)
Article
Agriculture, Dairy & Animal Science
Biaty Raymond, Yvonne C. J. Wientjes, Aniek C. Bouwman, Chris Schrooten, Roel F. Veerkamp
GENETICS SELECTION EVOLUTION
(2020)
Article
Agriculture, Dairy & Animal Science
Sanne van den Berg, Jeremie Vandenplas, Fred A. van Eeuwijk, Aniek C. Bouwman, Marcos S. Lopes, Roel F. Veerkamp
GENETICS SELECTION EVOLUTION
(2019)