Results 11 to 20 of about 972,577 (248)
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
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Oracle selection provides insight into how far off practice is from Utopia in plant breeding
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
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Genetic drift in genetic algorithm selection schemes [PDF]
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.
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Genetic selection strategies–population genetics
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
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STUDY OF THE TOMATO GENE POOL OF VIR WORLD COLLECTION IN THE OPEN GROUND IN MOSCOW REGION
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
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Strategies Using Genomic Selection to Increase Genetic Gain in Breeding Programs for Wheat
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
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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
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Investigating the bias resulted from ignoring bulmer effect on the genetic and economic output in progeny test and genomic selection program [PDF]
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
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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
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GENETIC SELECTION | Evaluation and Methods [PDF]
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
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