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Author: Allison Fleming Publisher: ISBN: Category : Languages : en Pages :
Book Description
Milk fat influences the economic, nutritional, flavour, and physico-chemical properties of milk and milk products. Genetic selection for fat components is therefore of interest. This would require an efficient means of phenotyping these traits routinely, on a large scale. The purpose of this study was to assess the ability to predict milk fat components using mid-infrared (MIR) spectroscopy and to examine the phenotypic and genetic variation of these traits. Individual cow milk samples from multiple breeds and herds were collected during routine milk recording multiple times throughout the lactation and the MIR spectra obtained. Milk samples were further analyzed for average milk fat globule (MFG) size and fatty acid profile using gold standard methodologies. Partial least squares regression models were employed to develop equations to predict the milk fat component traits from the MIR spectra of milk samples. Genetic parameters were estimated in Holsteins for both the measured and predicted MFG size and predicted fatty acids, along with their genetic correlations with milk production traits using multi-trait animal models. Milk fatty acid contents could be predicted with variable accuracy depending on the calibration set used and the concentration of the fatty acid in milk. In first-parity Holsteins, the predicted groups of fatty acids were found to have genetic correlations of similar magnitude with already recorded milk production traits. Differences in the genetic correlations with fat yield, fat and protein percentages, and fat to protein ratio were found for different fatty acid groups, including different trends in average daily genetic correlations at the beginning of lactation. Average MFG size was significantly affected by herd, breed, days in milk, season, and milking period. The prediction of MFG size from MIR spectra was poor, and predicted values had greater phenotypic correlations with fat percentage than their measured counterparts. A moderate heritability was found for average MFG size, but predicted values had very strong genetic correlations with fat percentage, limiting their utility. Mid-infrared technology provides an opportunity to obtain novel trait phenotypes, including fatty acids, for all milk recorded cows that could be used to help advance the Canadian dairy industry.
Author: Allison Fleming Publisher: ISBN: Category : Languages : en Pages :
Book Description
Milk fat influences the economic, nutritional, flavour, and physico-chemical properties of milk and milk products. Genetic selection for fat components is therefore of interest. This would require an efficient means of phenotyping these traits routinely, on a large scale. The purpose of this study was to assess the ability to predict milk fat components using mid-infrared (MIR) spectroscopy and to examine the phenotypic and genetic variation of these traits. Individual cow milk samples from multiple breeds and herds were collected during routine milk recording multiple times throughout the lactation and the MIR spectra obtained. Milk samples were further analyzed for average milk fat globule (MFG) size and fatty acid profile using gold standard methodologies. Partial least squares regression models were employed to develop equations to predict the milk fat component traits from the MIR spectra of milk samples. Genetic parameters were estimated in Holsteins for both the measured and predicted MFG size and predicted fatty acids, along with their genetic correlations with milk production traits using multi-trait animal models. Milk fatty acid contents could be predicted with variable accuracy depending on the calibration set used and the concentration of the fatty acid in milk. In first-parity Holsteins, the predicted groups of fatty acids were found to have genetic correlations of similar magnitude with already recorded milk production traits. Differences in the genetic correlations with fat yield, fat and protein percentages, and fat to protein ratio were found for different fatty acid groups, including different trends in average daily genetic correlations at the beginning of lactation. Average MFG size was significantly affected by herd, breed, days in milk, season, and milking period. The prediction of MFG size from MIR spectra was poor, and predicted values had greater phenotypic correlations with fat percentage than their measured counterparts. A moderate heritability was found for average MFG size, but predicted values had very strong genetic correlations with fat percentage, limiting their utility. Mid-infrared technology provides an opportunity to obtain novel trait phenotypes, including fatty acids, for all milk recorded cows that could be used to help advance the Canadian dairy industry.
Author: Saranya Narayana Publisher: ISBN: Category : Languages : en Pages :
Book Description
This thesis investigated the phenotypic and genetic variation of five groups of mid-infrared (MIR) predicted fatty acids; short-chain (4 to 10 carbons), medium-chain (12 to 16 carbons), long-chain (17 to 22 carbons), saturated, and unsaturated fatty acids. The predicted fatty acid values (g/dL of milk) were log transformed in order to improve normality. The data set included 49,127 test-day records from 10,029 first lactation Holstein cows in 810 herds. The total number of animals in the pedigree was 76,074. The random regression animal test-day model included: days in milk, herd-test date, and season-age of calving (polynomial regression) as fixed effects, and herd-year of calving, animal and permanent environment effects as random polynomial regressions, and random residual effect. Third and fourth degree of Legendre polynomial were estimated for fixed regression of season-age of calving effect and for the three random regressions, respectively. The average daily heritability estimates were 0.24, 0.32, 0.23, 0.33, and 0.21 for short-chain, medium-chain, long-chain, saturated, and unsaturated fatty acids, respectively. Estimated average daily genetic correlations were positive among all fatty acid groups and ranged from moderate to high (0.63-0.96). This study demonstrates the existence of genetic variation in milk fatty acid profile predicted by MIR spectra. Therefore, milk fatty acid composition can be improved through genetic selection. Keywords: milk fatty acid, mid-infrared, random regression model, heritability.
Author: Da-Wen Sun Publisher: Academic Press ISBN: 008092087X Category : Technology & Engineering Languages : en Pages : 445
Book Description
Written by an international panel of professional and academic peers, the book provides the engineer and technologist working in research, development and operations in the food industry with critical and readily accessible information on the art and science of infrared spectroscopy technology. The book should also serve as an essential reference source to undergraduate and postgraduate students and researchers in universities and research institutions. Infrared (IR) Spectroscopy deals with the infrared part of the electromagnetic spectrum. It measure the absorption of different IR frequencies by a sample positioned in the path of an IR beam. Currently, infrared spectroscopy is one of the most common spectroscopic techniques used in the food industry. With the rapid development in infrared spectroscopic instrumentation software and hardware, the application of this technique has expanded into many areas of food research. It has become a powerful, fast, and non-destructive tool for food quality analysis and control. Infrared Spectroscopy for Food Quality Analysis and Control reflects this rapid technology development. The book is divided into two parts. Part I addresses principles and instruments, including theory, data treatment techniques, and infrared spectroscopy instruments. Part II covers the application of IRS in quality analysis and control for various foods including meat and meat products, fish and related products, and others. Explores this rapidly developing, powerful and fast non-destructive tool for food quality analysis and control Presented in two Parts -- Principles and Instruments, including theory, data treatment techniques, and instruments, and Application in Quality Analysis and Control for various foods making it valuable for understanding and application Fills a need for a comprehensive resource on this area that includes coverage of NIR and MVA
Author: Patrick F. Fox Publisher: Springer Science & Business Media ISBN: 0387288139 Category : Technology & Engineering Languages : en Pages : 816
Book Description
The Advanced Dairy Chemistry series was first published in four volumes in the 1980s (under the title Developments in Dairy Chemistry) and revised in three volumes in the 1990s. The series is the leading reference on dairy chemistry, providing in-depth coverage of milk proteins, lipids, lactose, water and minor constituents. Advanced Dairy Chemistry Volume 2: Lipids, Third Edition, is unique in the literature on milk lipids, a broad field that encompasses a diverse range of topics, including synthesis of fatty acids and acylglycerols, compounds associated with the milk fat fraction, analytical aspects, behavior of lipids during processing and their effect on product characteristics, product defects arising from lipolysis and oxidation of lipids, as well as nutritional significance of milk lipids. Most topics included in the second edition are retained in the current edition, which has been updated and considerably expanded. New chapters cover the following subjects: Biosynthesis and nutritional significance of conjugated linoleic acid, which has assumed major significance during the past decade; Formation and biological significance of oxysterols; The milk fat globule membrane as a source of nutritionally and technologically significant products; Physical, chemical and enzymatic modification of milk fat; Significance of fat in dairy products: creams, cheese, ice cream, milk powders and infant formulae; Analytical methods: chromatographic, spectroscopic, ultrasound and physical methods. This authoritative work summarizes current knowledge on milk lipids and suggests areas for further work. It will be very valuable to dairy scientists, chemists and others working in dairy research or in the dairy industry.
Author: Barbara H. Stuart Publisher: John Wiley & Sons ISBN: 0470011130 Category : Science Languages : en Pages : 242
Book Description
Provides an introduction to those needing to use infrared spectroscopy for the first time, explaining the fundamental aspects of this technique, how to obtain a spectrum and how to analyse infrared data covering a wide range of applications. Includes instrumental and sampling techniques Covers biological and industrial applications Includes suitable questions and problems in each chapter to assist in the analysis and interpretation of representative infrared spectra Part of the ANTS (Analytical Techniques in the Sciences) Series.
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309450314 Category : Medical Languages : en Pages : 575
Book Description
Over the past 20 years, public concerns have grown in response to the apparent rising prevalence of food allergy and related atopic conditions, such as eczema. Although evidence on the true prevalence of food allergy is complicated by insufficient or inconsistent data and studies with variable methodologies, many health care experts who care for patients agree that a real increase in food allergy has occurred and that it is unlikely to be due simply to an increase in awareness and better tools for diagnosis. Many stakeholders are concerned about these increases, including the general public, policy makers, regulatory agencies, the food industry, scientists, clinicians, and especially families of children and young people suffering from food allergy. At the present time, however, despite a mounting body of data on the prevalence, health consequences, and associated costs of food allergy, this chronic disease has not garnered the level of societal attention that it warrants. Moreover, for patients and families at risk, recommendations and guidelines have not been clear about preventing exposure or the onset of reactions or for managing this disease. Finding a Path to Safety in Food Allergy examines critical issues related to food allergy, including the prevalence and severity of food allergy and its impact on affected individuals, families, and communities; and current understanding of food allergy as a disease, and in diagnostics, treatments, prevention, and public policy. This report seeks to: clarify the nature of the disease, its causes, and its current management; highlight gaps in knowledge; encourage the implementation of management tools at many levels and among many stakeholders; and delineate a roadmap to safety for those who have, or are at risk of developing, food allergy, as well as for others in society who are responsible for public health.
Author: Raffaele De Caterina Publisher: Academic Press ISBN: 0128045876 Category : Medical Languages : en Pages : 586
Book Description
Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is the most comprehensive foundational text on the complex topics of nutrigenetics and nutrigenomics. Edited by three leaders in the field with contributions from the most well-cited researchers conducting groundbreaking research in the field, the book covers how the genetic makeup influences the response to foods and nutrients and how nutrients affect gene expression. Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is broken into four parts providing a valuable overview of genetics, nutrigenetics, and nutrigenomics, and a conclusion that helps to translate research into practice. With an overview of the background, evidence, challenges, and opportunities in the field, readers will come away with a strong understanding of how this new science is the frontier of medical nutrition. Principles of Nutrigenetics and Nutrigenomics: Fundamentals for Individualized Nutrition is a valuable reference for students and researchers studying nutrition, genetics, medicine, and related fields. Uniquely foundational, comprehensive, and systematic approach with full evidence-based coverage of established and emerging topics in nutrigenetics and nutrigenomics Includes a valuable guide to ethics for genetic testing for nutritional advice Chapters include definitions, methods, summaries, figures, and tables to help students, researchers, and faculty grasp key concepts Companion website includes slide decks, images, questions, and other teaching and learning aids designed to facilitate communication and comprehension of the content presented in the book
Author: Paul A. Schulte Publisher: Academic Press ISBN: 0323138578 Category : Medical Languages : en Pages : 609
Book Description
This book will serve as a primer for both laboratory and field scientists who are shaping the emerging field of molecular epidemiology. Molecular epidemiology utilizes the same paradigm as traditional epidemiology but uses biological markers to identify exposure, disease or susceptibility. Schulte and Perera present the epidemiologic methods pertinent to biological markers. The book is also designed to enumerate the considerations necessary for valid field research and provide a resource on the salient and subtle features of biological indicators.
Author: Kevin J. Mitchell Publisher: Princeton University Press ISBN: 0691204152 Category : Psychology Languages : en Pages : 305
Book Description
"What makes you the way you are--and what makes each of us different from everyone else? In Innate, leading neuroscientist and popular science blogger Kevin Mitchell traces human diversity and individual differences to their deepest level: in the wiring of our brains. Deftly guiding us through important new research, including his own groundbreaking work, he explains how variations in the way our brains develop before birth strongly influence our psychology and behavior throughout our lives, shaping our personality, intelligence, sexuality, and even the way we perceive the world. We all share a genetic program for making a human brain, and the program for making a brain like yours is specifically encoded in your DNA. But, as Mitchell explains, the way that program plays out is affected by random processes of development that manifest uniquely in each person, even identical twins. The key insight of Innate is that the combination of these developmental and genetic variations creates innate differences in how our brains are wired--differences that impact all aspects of our psychology--and this insight promises to transform the way we see the interplay of nature and nurture. Innate also explores the genetic and neural underpinnings of disorders such as autism, schizophrenia, and epilepsy, and how our understanding of these conditions is being revolutionized. In addition, the book examines the social and ethical implications of these ideas and of new technologies that may soon offer the means to predict or manipulate human traits. Compelling and original, Innate will change the way you think about why and how we are who we are."--Provided by the publisher.
Author: Allison Fleming
Author: Allison Fleming
Author: Saranya Narayana
Author: Da-Wen Sun
Author: Patrick F. Fox
Author: Barbara H. Stuart
Author: National Academies of Sciences, Engineering, and Medicine
Author: B. Kagström
Author: Raffaele De Caterina
Author: Paul A. Schulte
Author: Kevin J. Mitchell