Results 11 to 20 of about 972,577 (248)

Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean

open access: yesFrontiers in Genetics, 2021
Plant breeding is a decision-making discipline based on understanding project objectives. Genetic improvement projects can have two competing objectives: maximize the rate of genetic improvement and minimize the loss of useful genetic variance.
Vishnu Ramasubramanian   +2 more
doaj   +1 more source

Oracle selection provides insight into how far off practice is from Utopia in plant breeding

open access: yesFrontiers in Plant Science, 2023
Since the introduction of genomic selection in plant breeding, high genetic gains have been realized in different plant breeding programs. Various methods based on genomic estimated breeding values (GEBVs) for selecting parental lines that maximize the ...
David Vanavermaete   +3 more
doaj   +1 more source

Genetic drift in genetic algorithm selection schemes [PDF]

open access: yesIEEE Transactions on Evolutionary Computation, 1999
A method for calculating genetic drift in terms of changing population fitness variance is presented. The method allows for an easy comparison of different selection schemes and exact analytical results are derived for traditional generational selection, steady-state selection with varying generation gap, a simple model of Eshelman's CHC algorithm ...
Rogers, A., Prügel-Bennett, A.
openaire   +2 more sources

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

STUDY OF THE TOMATO GENE POOL OF VIR WORLD COLLECTION IN THE OPEN GROUND IN MOSCOW REGION

open access: yesОвощи России, 2015
The results of study of 62 tomato accessions from the world collection of VIR in the open ground are presented. The promising samples from different groups of ripeness were selected for several valuable agronomic characters.
V. I. Kozak, V. E. Udaeva
doaj   +1 more source

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

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

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

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

GENETIC SELECTION | Evaluation and Methods [PDF]

open access: yes, 2002
The ultimate goal of animal selection is to create a new generation of animals that are superior to the current population. Superior is interpreted broadly to include functionality of animals, cost reduction of production, consumer perception, quality of products, and reduced environmental impact.
Wiggans, George R., Gengler, Nicolas
openaire   +3 more sources

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