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Relevant bibliographies by topics / Selective breeding GA

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Academic literature on the topic 'Selective breeding GA'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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Journal articles on the topic "Selective breeding GA"

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Farhad, Ghassemi-Tari, and Meshkinfam Sareh. "Improving Performance of GAs by Use of Selective Breading Evolutionary Process." Improving Performance of GAs by Use of Selective Breading Evolutionary Process 22, no. 3 (2017): 1–21. https://doi.org/10.9734/BJMCS/2017/33498.

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In this paper, the use of selective breading evolutionary process for improving the performance of GAs is evaluated. To accomplish this evaluation, the generalized tardiness flow shop scheduling (GTFS) problem is designated. A natural evolutionary GA and two selective breeding Gas are developed for evaluating their performances in solving the proposed problem. An extensive numerical experiment on total of 2250 randomly generated scenarios is conducted to compare the effects of selective breeding mechanism. The effects of the varieties factors on the solution of the algorithms are analyzed by t

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AROOSA and MA AHMED. "GENETIC VARIABILITY AND PHENOTYPIC TRAIT ASSOCIATIONS IN CHICKPEA(CICER ARIETINUM L.)GENOTYPES AT SEEDLING STAGE." Journal of Physical, Biomedical and Biological Sciences 2024, no. 1 (2024): 20. https://doi.org/10.64013/jpbab.v2024i1.20.

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This study evaluated Genetic variability, heritability & Genetic advance in early development of chickpea. Twenty-five chickpea genotype were utilized in a Completely Randomized Design (CRD) with three replications at The University of the Punjab, Lahore. Morphological data were collected for seven traits length of seedling(SL),Length of root(RL),Root-and-Shoot-ratio(RTSR),Biomass of seedling(SB),Length of leaf(LL),width of Leaf(LW) and Area of leaf(LA) at early stage and analyzed.The Combined analysis of variance (ANOVA) revealed significant difference is high highly (P≤0.01) in all genot

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ŠÍP, V., J. CHRPOVÁ, A. ŽOFAJOVÁ, et al. "Evidence of selective changes in winter wheat in middle-European environments reflected by allelic diversity at loci affecting plant height and photoperiodic response." Journal of Agricultural Science 149, no. 3 (2010): 313–26. http://dx.doi.org/10.1017/s002185961000078x.

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SUMMARYGenes for adaptation to climatic conditions can have an impact on the expression of genes for agricultural productivity. This study tested the hypothesis that winter wheat cultivars registered in middle Europe (especially the Czech and Slovak Republics) during the period 1976–2009 were differentially adapted to different regions, reflecting selection for different allelic combinations. This was tested by analysing for the presence of alleles at the Rht and Ppd loci using molecular markers and gibberellic acids (GA) response tests. Four allelic variants (174, 192, 165 and 198-bp) were de

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Wani, Mohammad Rafiq. "Genetic variability for seed yield and its related traits in M3 mutants of greengram (Vigna radiata (L.) Wilczek)." Journal of Tropical Agriculture 63, no. 1&2 (2025): 36–42. https://doi.org/10.63599/jta.2025.1528.

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Mutation breeding is an auxiliary approach to traditional breeding, enhancing genetic diversity and providing essentialraw materials for developing high-quality plants through selective breeding techniques. This research was aimed at evaluatingthe extent of induced genetic variability for various yield-related traits in M3 mutants of green gram variety PDM-11 aftertreatments with 0.2% and 0.03% of ethyl methanesulfonate (EMS) and hydrazine hydrate (HZ). Three replications of 100seeds each were sown for every treatment and control in randomized complete block design (RCBD). Significant increase

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Baum, Eric B., Dan Boneh, and Charles Garrett. "Where Genetic Algorithms Excel." Evolutionary Computation 9, no. 1 (2001): 93–124. http://dx.doi.org/10.1162/10636560151075130.

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We analyze the performance of a genetic algorithm (GA) we call Culling, and a variety of other algorithms, on a problem we refer to as the Additive Search Problem (ASP). We show that the problem of learning the Ising perceptron is reducible to a noisy version of ASP. Noisy ASP is the first problem we are aware of where a genetic-type algorithm bests all known competitors. We generalize ASP to k-ASP to study whether GAs will achieve “implicit parallelism” in a problem with many more schemata. GAs fail to achieve this implicit parallelism, but we describe an algorithm we call Explicitly Parallel

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Branch, W. D., and C. K. Kvien. "Peanut Breeding for Drought Resistance1." Peanut Science 19, no. 1 (1992): 44–46. http://dx.doi.org/10.3146/i0095-3679-19-1-12.

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Abstract Because drought continues to be a major limiting environmental factor in peanut (Arachis hypogaea L.) production, a breeding strategy for developing drought resistance was initiated in the early 1980's at the University of Georgia, Coastal Plain Experiment Station. Crosses were made between advanced breeding lines and drought resistant germplasm. Rainout shelters were used between 60 and 120 days after planting to provide mid-season drought stress so that pedigree selection could be made within early-segregating generations. Eight pure-line selections from the GA T-2465 × Tifton-8 cro

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Simiqueli, Guilherme Ferreira, Rafael Tassinari Resende, and Marcos Deon Vilela de Resende. "Maximizing multi-trait gain and diversity with Genetic Algorithms." TreeDimensional 10, no. 01 (2023): 1–14. http://dx.doi.org/10.55746/treed.2023.03.001.

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Genetic gain followed by loss of diversity is not ideal in breeding programs for several species, and most studies face this problem for single traits. Thus, we propose a selection method based on Genetic Algorithms (GA) to optimize the gains for multi-traits that have a low reduction of status number (NS), which takes into account equal contributions from individuals as a result of practical issues in tree breeding. Real data were used to compare GA with a method based on a branch and bound algorithm (BB) for the single-trait problem. Simulated and real data were used to compare GA with a mul

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Piza, Mateus Ribeiro, Silvana Ramlow Otto Teixeira da Luz, Vinicius Teixeira Andrade, et al. "Multiple Traits Selection Strategies: A Proposal for Coffee Plant Breeding." Agronomy 13, no. 8 (2023): 2033. http://dx.doi.org/10.3390/agronomy13082033.

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Experiments with progenies of perennial species such as coffee are generally affected by the heterogeneity of residual variances between information repeatedly collected in space and time on the same individual. In this study, we propose an index that considers the individual heritability of multiple traits for progeny selection and evaluate the applicability of this index in comparison with other indices in a real dataset. Data from 30 coffee genotypes in the F4:5 generation were used to obtain the individual heritability values (hi2) of progenies that were subjected to factorial analysis to

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Bassett, Mark J., Xue Lin-Bao, and L. Curtis Hannah. "Flower Colors in Common Bean Produced by Interactions of the Sal and V Loci and a Gametophyte Factor Ga Linked to Sal." Journal of the American Society for Horticultural Science 115, no. 6 (1990): 1029–33. http://dx.doi.org/10.21273/jashs.115.6.1029.

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Inheritance of red flower color was investigated in crosses using Lamprecht's lines M0169 and M0056, which are derived from Phaseolus coccineus L., and Univ. of Florida P. vulgaris L. breeding line 5-593. Based on segregation in the F2populations from 5-593 × M0169 and 5-593 × M0056, we hypothesize that the genotypes for flower colors are sal/sal V/V for 5-593 and Sal/Sal v/v for M0169 and M0056. The backcross 5-593 × F, (5-593 × M0056) segregated for four flower colors in about equal frequencies, and F2, F3, and F4progeny tests of the backcross plants provided confirmation of all the genotype

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Meszaros, S. A., R. G. Banks, J. H. J. van der Werf, and M. Goddard. "The use of genetic algorithms for optimizing age structure in breeding populations when inbreeding depresses genetic gain through effects on reproduction." Animal Science 68, no. 3 (1999): 457–99. http://dx.doi.org/10.1017/s1357729800050517.

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AbstractA genetic algorithm (GA) was used to find optimal male and female age distributions in a natural mating system that maximizes cumulative response to mass selection over a 20-year time horizon for the case where inbreeding affects reproduction at 0·0 (F-0) and 0·1 (F-10) per 0·1 inbreeding coefficient. Twenty breeding female population sizes were considered ranging from 25 to 500 breeding females distributed across five age groups. Loss of response due to inbreeding effects on reproduction ranged from 19.4% and 15.5% in small breeding female populations to 2.5% and 5.2% in large breedin

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Book chapters on the topic "Selective breeding GA"

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Unold, Olgierd, Maciej Dobrowolski, Henryk Maciejewski, Pawel Skrobanek, and Ewa Walkowicz. "A GA-Based Wrapper Feature Selection for Animal Breeding Data Mining." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28931-6_19.

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Raff, Lionel, Ranga Komanduri, Martin Hagan, and Satish Bukkapatnam. "Genetic Algorithm (GA) and Internal Energy Transfer Calculations Using Neural Network (NN) Methods." In Neural Networks in Chemical Reaction Dynamics. Oxford University Press, 2012. http://dx.doi.org/10.1093/oso/9780199765652.003.0011.

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Genetic algorithms (GA), like NNs, can be used to fit highly nonlinear functional forms, such as empirical interatomic potentials from a large ensemble of data. Briefly, a genetic algorithm uses a stochastic global search method that mimics the process of natural biological evolution. GAs operate on a population of potential solutions applying the principle of survival of the fittest to generate progressively better approximations to a solution. A new set of approximations is generated in each iteration (also known as generation) of a GA through the process of selecting individuals from the so

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Conference papers on the topic "Selective breeding GA"

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Grigorov, Tatiana, Larisa Andronic, and Svetlana Smerea. "Heritability of some agromorphological traits in winter barley hybrid combinations in different conditions of the year." In Conferința științifică națională cu participare internațională "Integrare prin cercetare și inovare", dedicată Zilei Internaționale a Științei pentru Pace și Dezvoltare. Moldova State University, 2025. https://doi.org/10.59295/spd2024n.12.

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The aim of our research was to estimate the heritability (h2,%) and genetic advantage (GA, %) of agro-morphological traits of winter barley hybrids forms (Strălucitor x Igri and Ciuluc x Igri) under different years conditions. Evaluation of genotypic variance components reveals high value of h2 (>60%) associated with high (>20%) and moderate GA, % (10-20%) for important traits (plant height, spike lenght, apical internode length, number of spikelets and kernel per spike, productive tillers per plant, thousand kernel weight) in the 8 productive two-rowed and four-rowed selected hybrids fo

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