Rob Bergsma
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View article: 377 Developing visible near-infrared spectroscopy calibration equations to predict the chemical composition of feces and nutrient digestibility based on pig fecal spectra
377 Developing visible near-infrared spectroscopy calibration equations to predict the chemical composition of feces and nutrient digestibility based on pig fecal spectra Open
Optimizing feed efficiency is an effective way to curb overall pig production costs given the increasing feed prices. Visible near-infrared spectroscopy (NIRS) can be potentially implemented in the swine industry to determine nutrient dige…
View article: 342 Sow weight development: A pragmatic approach to crossbred and selection populations
342 Sow weight development: A pragmatic approach to crossbred and selection populations Open
Feed used for maintenance in sows is around 1% of their live weight, and a 10 kg greater sow body weight (BW) from first lifetime insemination onwards requires 36.5 kg extra feed for maintenance annually, which increases the feed cost for …
View article: Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms
Impact of multi‐output and stacking methods on feed efficiency prediction from genotype using machine learning algorithms Open
Feeding represents the largest economic cost in meat production; therefore, selection to improve traits related to feed efficiency is a goal in most livestock breeding programs. Residual feed intake (RFI), that is, the difference between t…
View article: Impact of genomic preselection on subsequent <scp>ssGBLUP</scp> evaluation of preselected animals for scarcely recorded feed intake in pigs
Impact of genomic preselection on subsequent <span>ssGBLUP</span> evaluation of preselected animals for scarcely recorded feed intake in pigs Open
We have previously shown that single‐step genomic best linear unbiased prediction (ssGBLUP) estimates breeding values of genomically preselected animals without preselection bias for widely recorded traits, that is traits recorded for the …
View article: PSXV-7 Nutrient Digestibility Evaluation in Finisher Pigs from Diverse Feed Efficiency Groups
PSXV-7 Nutrient Digestibility Evaluation in Finisher Pigs from Diverse Feed Efficiency Groups Open
Feed efficiency (FE) is a critical trait in swine production to improve the overall production efficiency and profitability and is an important goal for pig breeding companies. FE is a complex trait involving utilization and storage of die…
View article: Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs
Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP using real data from pigs Open
Background Empirically assessing the impact of preselection on genetic evaluation of preselected animals requires comparing scenarios that take different approaches into account, including scenarios without preselection. However, preselect…
View article: Variation in faecal digestibility values related to feed efficiency traits of grower-finisher pigs
Variation in faecal digestibility values related to feed efficiency traits of grower-finisher pigs Open
Providing pigs a diet that matches their nutrient requirements involves optimizing the diet based on the nutrient digestibility values of the considered feed ingredients. Feeding the same quantity of a diet to pigs with similar BW but with…
View article: Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs
Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs Open
Background Empirically assessing the impact of preselection on subsequent genetic evaluations of preselected animals requires comparison of scenarios with and without preselection. However, preselection almost always takes place in animal …
View article: Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs
Impact of genomic preselection on subsequent genetic evaluations with ssGBLUP - using real data from pigs Open
Background Empirically assessing the impact of preselection on subsequent genetic evaluations of preselected animals requires comparison of scenarios taking into account different approaches, including scenarios without preselection. Howev…
View article: Convergence behavior of single-step GBLUP and SNPBLUP for different termination criteria
Convergence behavior of single-step GBLUP and SNPBLUP for different termination criteria Open
Background The preconditioned conjugate gradient (PCG) method is the current method of choice for iterative solving of genetic evaluations. The relative difference between two successive iterates and the relative residual of the system of …
View article: The effects of birth weight and estimated breeding value for protein deposition on nitrogen efficiency in growing pigs
The effects of birth weight and estimated breeding value for protein deposition on nitrogen efficiency in growing pigs Open
The effects of birth weight (BiW; low BiW [LBW] vs. high BiW [HBW]) and estimated breeding value (EBV) for protein deposition (low EBV [LBV] vs. high EBV [HBV]) on N retention, N efficiency, and concentrations of metabolites in plasma and …
View article: Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning
Feature Selection Stability and Accuracy of Prediction Models for Genomic Prediction of Residual Feed Intake in Pigs Using Machine Learning Open
Feature selection (FS, i.e., selection of a subset of predictor variables) is essential in high-dimensional datasets to prevent overfitting of prediction/classification models and reduce computation time and resources. In genomics, FS allo…
View article: Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms
Machine Learning Prediction of Crossbred Pig Feed Efficiency and Growth Rate From Single Nucleotide Polymorphisms Open
This research assessed the ability of a Support Vector Machine (SVM) regression model to predict pig crossbred (CB) performance from various sources of phenotypic and genotypic information for improving crossbreeding performance at reduced…
View article: Variance estimates are similar using pedigree or genomic relationships with or without the use of metafounders or the algorithm for proven and young animals1
Variance estimates are similar using pedigree or genomic relationships with or without the use of metafounders or the algorithm for proven and young animals1 Open
With an increase in the number of animals genotyped there has been a shift from using pedigree relationship matrices (A) to genomic ones. As the use of genomic relationship matrices (G) has increased, new methods to build or approximate G …
View article: Prediction of nutrient digestibility in grower‐finisher pigs based on faecal microbiota composition
Prediction of nutrient digestibility in grower‐finisher pigs based on faecal microbiota composition Open
Microbiota play an important role in total tract nutrient digestion, especially when fibrous diets are fed to pigs. This study aimed to use metagenomics to predict faecal nutrient digestibility in grower‐finisher pigs. The study design con…
View article: Genetic correlations between growth performance and carcass traits of purebred and crossbred pigs raised in tropical and temperate climates1
Genetic correlations between growth performance and carcass traits of purebred and crossbred pigs raised in tropical and temperate climates1 Open
In pig breeding, selection commonly takes place in purebred (PB) pigs raised mainly in temperate climates (TEMP) under optimal environmental conditions in nucleus farms. However, pork production typically makes use of crossbred (CB) animal…
View article: Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems: New traits to select for feed efficiency
Adapting the feed, the animal and the feeding techniques to improve the efficiency and sustainability of monogastric livestock production systems: New traits to select for feed efficiency Open
Objectives. Selection in monogastric species is applied to pure lines in selection farms, while commercial animals are crossbreds raised in diverse conditions. Improving feed efficiency in these populations is a key to enhance the producti…
View article: Effect of feeding cereals–alternative ingredients diets or corn–soybean meal diets on performance and carcass characteristics of growing–finishing gilts and boars
Effect of feeding cereals–alternative ingredients diets or corn–soybean meal diets on performance and carcass characteristics of growing–finishing gilts and boars Open
Pig-breeding businesses have resulted in global breeding programs that select pigs to perform well on high-energy high-protein diets, which are traditionally based on corn and soybean meal. Nowadays, there is a shift toward diets based on …
View article: Corrigendum: Fecal microbial composition associated with variation in feed efficiency in pigs depends on diet and sex
Corrigendum: Fecal microbial composition associated with variation in feed efficiency in pigs depends on diet and sex Open
International audience
View article: Genotype by feed interaction for feed efficiency and growth performance traits in pigs1
Genotype by feed interaction for feed efficiency and growth performance traits in pigs1 Open
A major objective of pork producers is to reduce production cost. Feeding may account for over 75% of pork production costs. Thus, selecting pigs for feed efficiency (FE) traits is a priority in pig breeding programs. While in the Americas…
View article: Fecal microbial composition associated with variation in feed efficiency in pigs depends on diet and sex1
Fecal microbial composition associated with variation in feed efficiency in pigs depends on diet and sex1 Open
Dietary fiber content and composition affect microbial composition and activity in the gut, which in turn influence energetic contribution of fermentation products to the metabolic energy supply in pigs. This may affect feed efficiency (FE…
View article: 29 Can We Select for an Improved Microbiome?
29 Can We Select for an Improved Microbiome? Open
Feed efficiency (FE) is an important trait in the pig industry, as feed costs are responsible for the major part of production costs. Availability in the market and cost of feed ingredients dictate changes in feed composition. As a result,…
View article: Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs
Genetic correlations between feed efficiency traits, and growth performance and carcass traits in purebred and crossbred pigs Open
Selection for feed efficiency (FE) is a strategy to reduce the production costs per unit of animal product, which is one of the major objectives of current animal breeding programs. In pig breeding, selection for FE and other traits tradit…
View article: Effect of gut microbiota on production traits, interaction with genetics
Effect of gut microbiota on production traits, interaction with genetics Open
Gut microbiota is a key contributor to feed use in monogastric species, in particular via the digestion dietary fibres.\nMolecular techniques are now available to run large studies and decipher the potential of gut microbiota to improve li…
View article: The repeatability of individual nutrient digestibility in pigs
The repeatability of individual nutrient digestibility in pigs Open
Digestibility of nutrients in pig diets is an important component of overall feed efficiency. Targeted improvement of digestibility is currently mainly achieved by optimization of pig diets, based on information generated from digestibilit…
View article: Feed efficiency and the faecal microbiome at slaughter weight in pigs
Feed efficiency and the faecal microbiome at slaughter weight in pigs Open
Feed efficiency (FE) is an important trait in the pig industry, as feed costs are responsible for the major part of\nproduction costs. Availability in the market and cost of feed ingredients dictate changes in feed composition. As a result…