نتایج جستجو برای: genetic improvement

تعداد نتایج: 910976  

2009
Petter Øgland

Purpose – On the metaphoric level, much as been written about complex adaptive systems (CAS) for implementing total quality management (TQM) and organizational learning (OL) in turbulent or unpredictable environments. The aim of this paper is to add practical insights on how a specific CAS-technique called genetic algorithms (GA) can be used for designing quality management systems for keeping ...

2014
Olivia McAuliffe Susan Mills Debebe Alemayehu Gerald Fitzgerald Aidan Coffey

o A food-grade cloning system for application in food safety and food quality arena. o A system where genes for key metabolic and industrial traits can be under-/over-expressed. o Characterisation of the phage resistance determinants for food-grade improvement of starter cultures. o Identification of the PyrR gene as a target for the development of bacteriophage resistance strategies in starter...

Journal: :iranian journal of applied animal science 2015
a. boustan a. nejati-javaremi e. rezvannejad a. mojtahedin

embryo transfer (et) in holstein dairy cattle became an important commercial enterprise after the introduction of non-surgical recovery technique. embryo transfer could increase the reproductive rate of genetically superior cows. the objectives of the present study were to evaluate the use of et in iranian holstein dairy cattle to increase selection intensity on the dam side, economically; esti...

Journal: :Current opinion in plant biology 2010
J C Glaszmann B Kilian H D Upadhyaya R K Varshney

Vast germplasm collections are accessible but their use for crop improvement is limited-efficiently accessing genetic diversity is still a challenge. Molecular markers have clarified the structure of genetic diversity in a broad range of crops. Recent developments have made whole-genome surveys and gene-targeted surveys possible, shedding light on population dynamics and on the impact of select...

2000
RICHARD J. POVINELLI

A comparison of three methods for saving previously calculated fitness values across generations of a genetic algorithm is made. These methods lead to significant computational performance improvements. For real world problems, the computational effort spent on evaluating the fitness function far exceeds that of the genetic operators. As the population evolves, diversity usually diminishes. Thi...

Journal: :Briefings in functional genomics 2014
María Muñoz-Amatriaín Alfonso Cuesta-Marcos Patrick M Hayes Gary J Muehlbauer

Genetic variation is crucial for successful barley improvement. Genomic technologies are improving dramatically and are providing access to the genetic diversity within this important crop species. Diverse collections of barley germplasm are being assembled and mined via genome-wide association studies and the identified variation can be linked to the barley sequence assembly. Introgression of ...

2016
Kanchit Thammasiri Douglas D. Archbold

Abstract: Thailand is the origin of about 1300 species and 180–190 genera of orchids, comprising the major tropical orchids in the world. These wild Thai orchids grow naturally in various habitats and have unique flowers, stems, leaves, and roots. Many genera, including Vanda, Rhynchostylis, Ascocentrum, Aerides, Phalaenopsis, Doritis, Dendrobium, Bulbophyllum, Cirrhopetalum, Spathoglottis, and...

2008
Alfonsas Misevičius Dalius Rubliauskas

In this paper, a new modification of the genetic algorithms (GAs) based on an enhanced improvement of individuals is discussed. The basic philosophy of the proposed approach is to accelerate the convergence speed of the genetic search by maintaining compact populations of the outstanding quality individuals – “super-individuals”. The super-individuals are obtained by means of powerful iterated ...

2017
Justyna Petke Saemundur O. Haraldsson Mark Harman William B. Langdon David R. White John R. Woodward

Genetic improvement uses automated search to find improved versions of existing software. We present a comprehensive survey of this nascent field of research with a focus on the core papers in the area published between 1995 and 2015. We identified core publications including empirical studies, 96% of which use evolutionary algorithms (genetic programming in particular). Although we can trace t...

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