Results 31 to 40 of about 5,098,978 (305)

Marker assisted selection with optimised contributions of the candidates to selection [PDF]

open access: yes, 2002
The benefits of marker assisted selection (MAS) are evaluated under realistic assumptions in schemes where the genetic contributions of the candidates to selection are optimised for maximising the rate of genetic progress while restricting the ...
Ricardo Pong-Wong   +14 more
core   +1 more source

Genetic selection strategies–population genetics

open access: yesPoultry Science, 1997
This paper provides an overview of the association between population genetics and selection strategies in poultry. Relationships between artificial and natural selection and among causes contributing to limits to artificial selection are discussed.
P B, Siegel, E A, Dunnington
openaire   +2 more sources

Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat

open access: yesFrontiers in Genetics, 2020
Conventional wheat-breeding programs involve crossing parental lines and subsequent selfing of the offspring for several generations to obtain inbred lines. Such a breeding program takes more than 8 years to develop a variety.
Biructawit Bekele Tessema   +4 more
doaj   +1 more source

A lexicographic multi-objective genetic algorithm for multi-label correlation-based feature selection [PDF]

open access: yes, 2015
This paper proposes a new Lexicographic multi-objective Genetic Algorithm for Multi-Label Correlation-based Feature Selection (LexGA-ML-CFS), which is an extension of the previous single-objective Genetic Algorithm for Multi-label Correlation-based ...
Suwimol Jungjit   +3 more
core   +1 more source

Assessment of long-term trends in genetic mean and variance after the introduction of genomic selection in layers: a simulation study

open access: yesFrontiers in Genetics, 2023
Nucleus-based breeding programs are characterized by intense selection that results in high genetic gain, which inevitably means reduction of genetic variation in the breeding population. Therefore, genetic variation in such breeding systems is typically
Ivan Pocrnic   +5 more
doaj   +1 more source

Genetic analysis of environmental variation [PDF]

open access: yes, 2010
Environmental variation (V-E) in a quantitative trait - variation in phenotype that cannot be explained by genetic variation or identifiable genetic differences - can be regarded as being under some degree of genetic control. Such variation may be either
HAN A. MULDER   +5 more
core   +1 more source

Pendugaan heritabilitas rill (realized heritability) dan kemajuan genetik produksi telur itik mojosari

open access: yesJurnal Ilmu-Ilmu Peternakan, 2017
This study aims were to estimate the value of genetic parameters of realized heritability and to estimate the value of genetic progress in 10 Mojosari duck lines selected for 4 generations on the first 3 months cumulative egg production.
ignatius maria unggul abrianto   +2 more
doaj   +1 more source

Investigating the bias resulted from ignoring bulmer effect on the genetic and economic output in progeny test and genomic selection program [PDF]

open access: yesKafkas Universitesi Veteriner Fakültesi Dergisi, 2017
This study aims to investigate the degree of bias resulted from ignoring Bulmer effect during the estimation of genetic and economic progress in progeny test and genomic selection programs.
Reza SEYEDSHARIFI   +4 more
doaj   +1 more source

Genetics Select [PDF]

open access: yesCell, 2010
Faster, smaller, easier, and better—DNA sequencing technologies have improved by quantum leaps in the past decade. This Genetics Select highlights recent studies that demonstrate how these technological advances have greatly expanded the scope and power of human genetics, especially in the blossoming fields of personalized medicine and palaeogenetics.
openaire   +1 more source

Android Malware Detection Using Machine Learning with Feature Selection Based on the Genetic Algorithm

open access: yesMathematics, 2021
Since the discovery that machine learning can be used to effectively detect Android malware, many studies on machine learning-based malware detection techniques have been conducted.
Jaehyeong Lee   +3 more
doaj   +1 more source

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