Project
Accelerating genomic prediction in Breed4Food
The primary goal of this PPP is to accelerate the innovation and impact of the core engine for genomic prediction. Accelerating the innovation and impact of genomic prediction enables the partners to create more genetic progress for a broader range of traits, by adding novel traits to the breeding goal, by using more diverse genetics,and by adding more flexibility to their breeding program. Flexibility is needed to better adapt to societal or market demands.
Sustainable production of high-quality, healthy animal proteins for a growing world population is the key challenge for livestock industry towards 2050. At the same time important steps towards a more circular and climate neutral food production are required. Breed4Food partners are animal breeding companies that continue
to have a cumulative contribution towards four of the MMIP missions (A, B, C, D) of 1 to 2% per year through genetic improvement of animals.
The aim of this PPP is to increase this contribution and to strengthen the
position of the companies worldwide by accelerating the innovation and impact of the core engine for genomic prediction. Accelerating the innovation and impact of genomic prediction enables the partners to create more genetic progress for a broader range of traits, by adding novel traits to the breeding goal, by using more diverse genetics, and by being more flexible in their breeding program. Flexibility is needed to better adapt to societal or market demands.
Innovations
Innovations proposed in this PPP are directly related to the key technologies mentioned under priority 44, and include i) continuous improvement of models and software and validation methods for the core engine of genomic prediction, ii) incorporation of new bioinformatics DNA information (DNA informed breeding), iii) an interface to include high dimensional and longitudinal phenotypic data in genomic prediction, and iv) enabling dynamic and real-time optimization of breeding programmes by integration with genomic prediction. The fifth activity is adapting and implementing the existing frameworks for the dialogue with society
about responsible innovation.
Valorisation of the innovations through the partners will contribute a) towards the
MMIP missions A, B, C and D, b) to a more economic, sustainable and societally accepted livestock production chain and c) to strengthening the positions of the Netherlands-based animal breeding companies, and Wageningen University & Research (WUR) in the field of animal breeding and genomics.
Publicaties
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Digitalisation and animal welfare
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Increasing genetic gain without compromising diversity by selection based on mating qualities
In: Book of Abstracts of the 74th Annual Meeting of the European Federation of Animal Science - Wageningen: Wageningen Academic Publishers - ISBN: 9789086863846 - p. 173-173. -
A systematic review of genotype-by-climate interaction studies in cattle, poultry and chicken
Frontiers in Animal Science (2023), Volume: 4 - ISSN 2673-6225 -
Slim fokken om minder methaan uit te stoten
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Exploiting genetic variances of future descendants to enhance genetic progress
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Maximizing future gain : Exploiting variance of descendants for optimized selection decisions
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Large scale sequence-based screen for recessive variants allows for identification and monitoring of rare deleterious variants in pigs
Plos Genetics (2024), Volume: 20, Issue: 1 - ISSN 1553-7390 -
Improving selection decisions with mating information by accounting for Mendelian sampling variances looking two generations ahead
Genetics Selection Evolution (2024), Volume: 56 - ISSN 0999-193X -
genomeprofile: Unveiling the genomic profile for livestock breeding through comprehensive SNP array-based genotyping
Animal Genetics (2024), Volume: 55, Issue: 5 - ISSN 0268-9146 - p. 793-797. -
Prediction of additive genetic variances of descendants for complex families based on Mendelian sampling variances
G3: Genes, Genomes, Genetics (2024), Volume: 14, Issue: 11 - ISSN 2160-1836