A method to predict the response to directional selection using a Kalman filter

Lisandro Milocco; Isaac Salazar-Ciudad

doi:10.1073/pnas.2117916119

A method to predict the response to directional selection using a Kalman filter

Research output: Contribution to journal › Article › Scientific › peer-review

Original language	English
Article number	2117916119
Journal	Proceedings of the National Academy of Sciences of the United States of America
Volume	119
Issue number	28
Number of pages	11
ISSN	0027-8424
DOIs	https://doi.org/10.1073/pnas.2117916119
Publication status	Published - 12 Jul 2022
MoE publication type	A1 Journal article-refereed

Bibliographical note

Publisher Copyright:
Copyright © 2022 the Author(s).

Fields of Science

1181 Ecology, evolutionary biology
1184 Genetics, developmental biology, physiology
breeder's equation
evolutionary prediction
G matrix
Kalman filter
quantitative genetics
EVOLUTION
BREEDERS EQUATION
MODELS
QUANTITATIVE GENETICS
COVARIANCE MATRICES

Access to Document

10.1073/pnas.2117916119

Cite this

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title = "A method to predict the response to directional selection using a Kalman filter",

keywords = "1181 Ecology, evolutionary biology, 1184 Genetics, developmental biology, physiology, breeder's equation, evolutionary prediction, G matrix, Kalman filter, quantitative genetics, EVOLUTION, BREEDERS EQUATION, MODELS, QUANTITATIVE GENETICS, COVARIANCE MATRICES",

author = "Lisandro Milocco and Isaac Salazar-Ciudad",

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AU - Salazar-Ciudad, Isaac

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KW - 1181 Ecology, evolutionary biology

KW - 1184 Genetics, developmental biology, physiology

KW - breeder's equation

KW - evolutionary prediction

KW - G matrix

KW - Kalman filter

KW - quantitative genetics

KW - EVOLUTION

KW - BREEDERS EQUATION

KW - MODELS

KW - QUANTITATIVE GENETICS

KW - COVARIANCE MATRICES

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DO - 10.1073/pnas.2117916119

M3 - Article

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AN - SCOPUS:85133836667

VL - 119

JO - Proceedings of the National Academy of Sciences of the United States of America

JF - Proceedings of the National Academy of Sciences of the United States of America

SN - 0027-8424

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M1 - 2117916119

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