Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Rapid turnover of sensor data to genetic evaluation for dairy cows in the cloud.

Journal of dairy science - 1 Nov 2022

Schokker D, Poppe M, Ten Napel J, Athanasiadis I N, Kamphuis C, Veerkamp R F

Abstract excerpt

More and more sensor and automation data are available that enable animal breeders to define novel traits. However, sensor and automation data are often frequently measured differently (e.g., milk yield and different milk components are continuously measured during each milking). These differences are challenging animal breeders to define traits and use the most appropriate analytical models for genetic...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cattle
Share to Lactation
Share to Milk

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Source

Identifiers

PMID: 36307236
DOI: 10.3168/jds.2022-22113

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Rapid turnover of sensor data to genetic evaluation for dairy cows in the cloud.PMID 36307236Read ↗

Invited review: The future of selection decisions and breeding programs: What are we breeding for, and who decides?Semantic proximity Read ↗

Fluctuations in milk yield are heritable and can be used as a resilience indicator to breed healthy cows.Semantic proximity Read ↗

Genomic evaluation of milk yield in a smallholder crossbred dairy production system in India.Semantic proximity Read ↗

Genomic-based genetic parameters for resilience across lactations in North American Holstein cattle based on variability in daily milk yield records.Semantic proximity Read ↗

Phenomics in Livestock Research: Bottlenecks and Promises of Digital Phenotyping and Other Quantification Techniques on a Global Scale.Semantic proximity Read ↗

Validation of single-step genomic BLUP random regression test-day models and SNP effects analysis on milk yield in French Saanen goats.Semantic proximity Read ↗

Genetic analysis of resilience indicators based on milk yield records in different lactations and at different lactation stages.Semantic proximity Read ↗

Current Status and Future Prospects of Next-Generation Data Management and Analytical Decision Support Tools for Enhancing Genetic Gains in Crops.Semantic proximity Read ↗

Exploration of variance, autocorrelation, and skewness of deviations from lactation curves as resilience indicators for breeding.Semantic proximity Read ↗

The Resilient Dairy Genome Project-A general overview of methods and objectives related to feed efficiency and methane emissions.Semantic proximity Read ↗

Emphasis on resilience in dairy cattle breeding: Possibilities and consequences.Semantic proximity Read ↗

Trait development and genetic parameters of resilience indicators based on variability in milk consumption recorded by automated milk feeders in North American Holstein calves.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.