Relevant bibliographies by topics / Realized Genetic Gain

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Academic literature on the topic 'Realized Genetic Gain'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Realized Genetic Gain"

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Gonçalves, Paulo de Souza, Adriano Tosoni da Eira Aguiar, Reginaldo Brito da Costa, Elaine Cristine Piffer Gonçalves, Erivaldo José Scaloppi Júnior, and Roberto Botelho Ferraz Branco. "Genetic variation and realized genetic gain from rubber tree improvement." Scientia Agricola 66, no. 1 (2009): 44–51. http://dx.doi.org/10.1590/s0103-90162009000100006.

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Breeding cycle in rubber extends to 20-30 years between pollination and yield assessment, distributed over three selection stages. Five hectares of small scale trial of rubber tree [Hevea brasiliensis (Willd. ex Adr. de Juss.) Muell.-Arg.], was established in the Northwestern region of São Paulo State, Brazil. The population comprises 98 clones mostly derived from intensively selected plus tree in the natural forest of rubber tree in the Amazon. Three open pollinated progeny tests were established in three experimental stations. Seedlings from 98 progenies including a commercial check (CC) wer
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Matziris, D. "Genetic Variation and Realized Genetic Gain From Black Pine Tree Improvement." Silvae Genetica 54, no. 1-6 (2005): 96–104. http://dx.doi.org/10.1515/sg-2005-0015.

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Summary In 1978 a 10 ha clonal seed orchard of black pine (Pinus nigra Arnold) was established in the area of Koumani in the western part of Peleponnesos, Greece. The orchard comprises 52 clones derived from intensively selected plus trees in the natural forest of black pine of Peloponnesos. In 1991 three open pollinated progeny tests were established in Peloponnesos, proximal to the villages of Raches, Vlachokerasia and Vamvakou. Seedlings from 52 families including a commercial check (CC) were planted in each one of the three locations. Assessments were made when the trees were 4, 7 and 9 ye
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Rudolph, Thomas D., Hyun C. Kang, and Raymond P. Guries. "Realized genetic gain for 2nd-year height in jack pine." Canadian Journal of Forest Research 19, no. 6 (1989): 707–14. http://dx.doi.org/10.1139/x89-110.

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A complete cycle of within-family selection for 2nd-year height in jack pine (Pinusbanksiana Lamb.) was accomplished. The expected absolute gain from a theoretical population is 9.3%. The expected gain calculated using actual selected parental group means was 6.5% for upper selection and −6.5% for lower selection; realized gains were 5.1% for upper selection and −3.7% for lower selection. Reasons for reductions in the realized gain compared with expected gain include (i) a finite base population size; (ii) biological constraints such as inconsistent seed production; (iii) non-normal distributi
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Gapare, W. J. "Predicted and realized genetic gain inEucalyptus grandisbreeding seedling orchard in Zimbabwe." Southern African Forestry Journal 189, no. 1 (2000): 11–15. http://dx.doi.org/10.1080/10295925.2000.9631275.

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Nirsatmanto, Arif, Teguh Setyaji, and Wahyuningtyas Reny Setyo. "REALIZED GENETIC GAIN AND SEED SOURCE X SITE INTERACTION ON STAND VOLUME PRODUCTIVITY OF ACACIA MANGIUM." JOURNAL OF FORESTRY RESEARCH 1, no. 1 (2014): 21–32. https://doi.org/10.20886/ijfr.2014.1.1.21-32.

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Following the results of the comprehensive tree improvement programs for Acacia mangium, it is necessary to estimate the real amount of genetic improvement and to develop an improved seed deployment strategy.  This study was aimed to verify realized genetic gain on stand volume productivity attained by the first-generation Seedling Seed Orchards (SSO) of A. mangium and to identify the magnitude of seed sources x site interaction as a basis for improved seed deployment. Seeds from five SSOs were tested together with seeds from seed stand in genetic gain trials which were established in Sou
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Rakonjac, Vera, Dragan Nikolic, and Milica Fotiric-Aksic. "Genetic gain from selection of vineyard peach native population." Genetika 43, no. 3 (2011): 457–63. http://dx.doi.org/10.2298/gensr1103457r.

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Vineyard peach native population in our country represents important and rich source of genetic variability. Establishment of the genetic gain and differences concerning genetic variability are very important in selection of the genotypes with different usability. In according to the start up population and after selection of 25% intensity important properties such as fruit quality indexes were examined. Those were fruit weight, output, appearance, taste, aroma, soluble solid and total sugar content and titratable acidity. Besides variability components, coefficient of variation and heritabili
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Ye, Terrance Z., K. J. S. Jayawickrama, and J. B. St Clair. "Realized Gains from Block-Plot Coastal Douglas-Fir Trials in the Northern Oregon Cascades." Silvae Genetica 59, no. 1-6 (2010): 29–39. http://dx.doi.org/10.1515/sg-2010-0004.

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AbstractRealized gains for coastal Douglas-fir (Pseudotsuga menziesii var. menziesii) were evaluated using data collected from 15-year-old trees from five field trials planted in large block plots in the northern Oregon Cascades. Three populations with different genetic levels (elite - high predicted gain; intermediate - moderate predicted gain; and unimproved - wild seedlot) were compared at two planting spacings (1.8 × 1.8 m and 3.6 × 3.6 m). The realized gains at age 15 averaged over both the elite and intermediate progeny were 17.2% for stand volume per hectare, 3.5% for mean height, and 4
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Nirsatmanto, Arif, Teguh Setyaji, and Reny Setyo Wahyuningtyas. "REALIZED GENETIC GAIN AND SEED SOURCE X SITE INTERACTION ON STAND VOLUME PRODUCTIVITY OF ACACIA MANGIUM." Indonesian Journal of Forestry Research 1, no. 1 (2014): 21–32. https://doi.org/10.59465/ijfr.2014.1.1.21-32.

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Following the results of the comprehensive tree improvement programs for Acacia mangium, it is necessary to estimate the real amount of genetic improvement and to develop an improved seed deployment strategy. This study was aimed to verify realized genetic gain on stand volume productivity attained by the first-generation Seedling Seed Orchards (SSO) of A. mangium and to identify the magnitude of seed sources x site interaction as a basis for improved seed deployment. Seeds from five SSOs were tested together with seeds from seed stand in genetic gain trials which were established in South Kal
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Nirsatmanto, Arif, Teguh Setyaji, and Surip Surip. "TREND OF REALIZED GENETIC GAIN OBSERVED IN SECOND-GENERATION SEEDLING SEED ORCHARDS OF ACACIA MANGIUM IN SOUTH KALIMANTAN, INDONESIA." JOURNAL OF FORESTRY RESEARCH 10, no. 1 (2013): 57–64. https://doi.org/10.20886/ijfr.2013.10.1.57-64.

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Comprehensive  tree improvement  program for Acacia mangium has been started since 1992 by establishing  a  series  of  first generation  Seedling  Seed  Orchards  (SSO)  in  Indonesia.  Selection procedures in the first-generation of SSO have completely finished, and subsequently it was continued for second-generation improvement. This paper examines a trend of realized genetic gain as a response of selection practiced in the first-generation SSO. The observation was carried out in three sub-lines of the second-generation SSO (n
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Khobondo, Joel. "Genetic evaluation of breeding program for body weight of indigenous chicken in Kenya." GABJ 5, no. 1 (2021): 112–19. http://dx.doi.org/10.46325/gabj.v5i1.175.

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 The demand for poultry meat, particularly from indigenous chicken, is ever increasing. This need efficient production potential from the chicken. This paper simulated different scenarios of breeding program for indigenous chicken and compared the selection response with realized genetic gain after one generation of selection. A one stage discrete generation deterministic simulation approach using SelAction program was used. Two genetic parameters were employed. The phenotypic variances and heritability used were 25,000g and 0.25, 3040 and 0.51, respectively. For each case, 300 hens and
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Book chapters on the topic "Realized Genetic Gain"

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Groiß-Fürtner, Daniela, Claudia Mair-Bauernfeind, and Franziska Hesser. "Proposing a Multi-level Assessment Framework for Social LCA and Its Contribution to the Sustainable Development Goals." In Sustainable Production, Life Cycle Engineering and Management. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-29294-1_7.

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AbstractIn the context of sustainable product development, Life Cycle Assessment (LCA) methods are used to gain knowledge about environmental hotspots and derive options for improvement. In light of international efforts to promote sustainable development, Social LCA (SLCA) is an emerging method to assess potential socio-economic impacts of products and services. Even when available data is limited in the early stages of materials, process, and product development, the implementation of SLCA benefits target-oriented research and development to support sustainable development. This article intr
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Saxena, Indu, Suwarna Suman, Amar Preet Kaur, et al. "The Multiple Causes of Obesity." In Obesity and Health [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98835.

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Obesity is known to cause physical and metabolic diseases. It is often assumed by people (including the healthcare workers) that the person with obesity lacks self-control in matters of diet and physical exercise, and is therefore responsible for his or her weight. Persons with obesity have to face sarcasm, barbs, and discrimination due to their condition. They often have difficulty in getting jobs or have to accept lower than standard pay for their work. Although weight gain requires calorie intake in excess of calorie expenditure, it is sometimes not easy for the person to restrict calories
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Biesecker, Barbara B., Kathryn F. Peters, and Robert Resta. "Conflict of Interest and the Code of Ethics." In Advanced Genetic Counseling. Oxford University Press, 2019. http://dx.doi.org/10.1093/med/9780190626426.003.0007.

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Conflict of interest (COI) can be defined as a set of circumstances that creates a risk that professional judgment or actions regarding a primary interest (e.g., a patient’s best interests) will be unduly influenced by a secondary interest (e.g., financial or professional gain for the counselor). Although conscious and intended unethical behavior resulting from a COI, most COIs occur at a subconscious level and are a normal aspect of human psychology and behavior. It can be very difficult for any professional to recognize a COI, and even more difficult for highly ethical people to realize that
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K. Mohammed, Ibrahim. "Design of Optimized PID Controller Based on ABC Algorithm for Buck Converters with Uncertainties." In Advance Innovation and Expansion of PID Controllers [Working Title]. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.94907.

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Proportional Integral Derivative (PID) is the most popular controller that is commonly used in wide industrial applications due to its simplicity to realize and performance characteristics. This technique can be successfully applied to control the behavior of single-input single-output (SISO) systems. Extending the using of PID controller for complex dynamical systems has attracted the attention of control engineers. In the last decade, hybrid control strategies are developed by researchers using conventional PID controllers with other controller techniques such as Linear Quadratic Regulator (
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Conference papers on the topic "Realized Genetic Gain"

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Hiramoto, Kazuhiko. "LPV-Based-Method Aiming at a Win-Win Situation for Analytical Control Theories and Intelligent Optimization Methodologies." In ASME 2009 Dynamic Systems and Control Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/dscc2009-2547.

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A new collaborative control strategy between time varying design parameters in LPV plants and the feedback controllers is proposed in the present paper. As the feedback control law the gain scheduling control scheme is adopted to guarantee the closed-loop L2 gain performance against the variation of the time varying parameter in the control object. The gain-scheduling controller can be obtained in an analytical manner by solving LMIs. For the closed-loop system with the LPV plant and the gain scheduling controller Genetic algorithm (GA), known as a so-called intelligent optimization method, is
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Никитин, Е. Н., Н. Л. Шаронова, Д. А. Теренжев, et al. "APPLICATION OF TERPENE SALTS OF SIBERIAN PINE PINE GAIN AS GROWTH REGULATORS OF AGRICULTURAL PLANTS." In Биотехнология в растениеводстве, животноводстве и сельскохозяйственной микробиологии. Crossref, 2021. http://dx.doi.org/10.48397/arriab.2021.21.xxi.089.

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В связи с интенсификацией сельскохозяйственного производства крайне остро стоит проблема повышения урожайности и качества продукции растениеводства. Использование регуляторов роста способствует реализации генетического потенциала растений, повышению устойчивости к факторам окружающей среды, фитопатогенным микроорганизмам, росту урожайности и улучшению качества продукции. В условиях экологизации сельского хозяйства предъявляются особые требования к ассортименту применяемых препаратов, наблюдается повышенный интерес к природным веществам, экстрагируемым из растений, в качестве эффективной альтер
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Ostrenko, K. S. "Problems of animal husbandry intensification and ways to solve them." In CURRENT STATE, PROBLEMS AND PROSPECTS OF THE DEVELOPMENT OF AGRARIAN SCIENCE. Federal State Budget Scientific Institution “Research Institute of Agriculture of Crimea”, 2020. http://dx.doi.org/10.33952/2542-0720-2020-5-9-10-138.

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Integrated approach to the nutrition system allows you to reduce the negative effects of stress of various etiologies without а hypertrophied increase in productivity. The use of normotimic additives (lithium ascorbate) can increase the productivity of fattening pigs by 5–7 %, improve the quality of meat, and reduce the risks of obtaining low-quality meat products. The introduction of probiotics in the diet of pigs can increase the average daily growth by 5.4 %. The use of various antioxidants and antihypoxants leads to an increase in the average daily body weight gain of 13.3 %. Complex use o
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Hansen, Anders Hedegaard, Lasse Schmidt, Henrik C. Pedersen, and Torben O. Andersen. "A Generic Model Based Tracking Controller for Hydraulic Valve-Cylinder Drives." In 9th FPNI Ph.D. Symposium on Fluid Power. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/fpni2016-1522.

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The control of hydraulic valve-cylinder drives is still an active subject of research, and various linear and particularly nonlinear approaches has been proposed, especially in the last two-three decades. In many cases the proposed controllers appear to produce excellent tracking ability due to robust- and/or adaptive functionalities, but also often rely on full state feedback and/or cumbersome and elaborate parameter designs. Also, such sophisticated control approaches often lack tuning methods which, together with the lack of proven reliability, is likely to be the reason why such approaches
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Rao, Haocong, Siqi Wang, Xiping Hu, et al. "Self-Supervised Gait Encoding with Locality-Aware Attention for Person Re-Identification." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/125.

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Gait-based person re-identification (Re-ID) is valuable for safety-critical applications, and using only 3D skeleton data to extract discriminative gait features for person Re-ID is an emerging open topic. Existing methods either adopt hand-crafted features or learn gait features by traditional supervised learning paradigms. Unlike previous methods, we for the first time propose a generic gait encoding approach that can utilize unlabeled skeleton data to learn gait representations in a self-supervised manner. Specifically, we first propose to introduce self-supervision by learning to reconstru
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Song, Wanbing, Yating Zhang, Zhaojie Ge, and Ping Zhao. "Gait Prediction and Mechanism Design for 1-DOF Lower Limb Rehabilitation Devices Based on Machine Learning." In ASME 2021 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/detc2021-70009.

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Abstract A task motion trajectory usually needs to be determined for the training process and mechanism design for rehabilitation patients since they are not capable of providing a normal motion. In this paper, a machine-learning-based approach of gait trajectory prediction for lower limb rehab patients is proposed to provide the basis for the design of simple 1-degree-of-freedom (DOF) rehab mechanisms. First, a large amount of gait trajectories from various healthy volunteers are collected along with their body parameters, and a normalization method is presented to trim/expand these trajector
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