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Open AccessJournal ArticleDOI

A 100-Year Review: Identification and genetic selection of economically important traits in dairy cattle.

TLDR
Current research focuses on fitness, health, welfare, milk quality, and environmental sustainability, underlying the concentrated emphasis on a more comprehensive breeding goal.
About
This article is published in Journal of Dairy Science.The article was published on 2017-12-01 and is currently open access. It has received 232 citations till now. The article focuses on the topics: Selection (genetic algorithm).

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Citations
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Journal ArticleDOI

Opportunities to Improve Resilience in Animal Breeding Programs

TL;DR: The objectives of this paper were to define resilience indicator traits based on big data, to define economic values for resilience, and to show the potential to improve resilience of livestock through inclusion of resilience in breeding goals.
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Review: Genetic selection of high-yielding dairy cattle toward sustainable farming systems in a rapidly changing world.

TL;DR: The dairy industry needs to continue refining the current selection indexes and breeding goals to put greater emphasis on traits related to animal welfare, health, longevity, environmental efficiency (e.g., methane emission and feed efficiency), and overall resilience as mentioned in this paper.
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GALLO: An R package for genomic annotation and integration of multiple data sources in livestock for positional candidate loci

TL;DR: GALLO as discussed by the authors is a package developed for the accurate annotation of genes and quantitative trait loci (QTLs) located in regions identified in common genomic analyses performed in livestock, such as genome-wide association studies and transcriptomics using RNA sequencing.
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Large-Scale Phenotyping of Livestock Welfare in Commercial Production Systems: A New Frontier in Animal Breeding

TL;DR: A potential route for development of novel welfare indicator traits (using ideal phenotypes) for both genetic and genomic selection schemes for improved welfare in livestock is described.
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Symposium review: Building a better cow-The Australian experience and future perspectives.

TL;DR: The future focus is on traits associated with animal health, either directly or in combination with predictor traits, such as mid-infrared spectral data and, into the future, automated data capture.
References
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Journal ArticleDOI

The Genetic Basis for Constructing Selection Indexes

TL;DR: "The key is man9s power of accumulative selection: nature gives successive variations; man adds them up in certain directions useful to him."
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Reproductive loss in high-producing dairy cattle: where will it end?

TL;DR: Critical areas for new research include control of the estrous cycle, metabolic effects of lactation on reproduction, mechanisms linking disease to reproduction, and early embryonic mortality.
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Invited review: Body condition score and its association with dairy cow productivity, health, and welfare

TL;DR: There is relative consistency in the associations among calving and nadir BCS, and BCS change on milk production, postpartum anestrous, the likelihood of a successful pregnancy and days open, therisk of uterine infection, and the risk of metabolic disorders.
Journal ArticleDOI

An optimum transformation for somatic cell concentration in milk.

TL;DR: In this article, the authors find the transformation for somatic cell concentration which meets these characteristics of hypothesis testing, which requires that the errors be distributed normally and that subclass variances be homogeneous.
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