Mathematical Modelling in Plant Breeding. I. Theoretical Basis of Genotypes Identification on Their Phenotypes During Selection in Segregating Generations

Михайленко, И. М.; Dragavtsev, V. A.

doi:10.15389/agrobiology.2013.1.26eng

Cited by 4 publications

(6 citation statements)

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“…In their studies Dragavtsev and Dyakov (1982) and Mikhailenko and Dragavtsev (2013) substantiate a new theory, revealing an opportunity for identification of plant genotypes in the early stages of selection by phenotypes. Data have been obtained in support of this new scientific viewpoint, which gives greater opportunities for a significant improvement of selection efficiency (Dragavtsev, 1995).…”

Section: Wr/vr Analysismentioning

confidence: 93%

Evaluation of genotypic and genetic variances of quantitative traits in pea (Pisum sativum L.)

Kosev¹,

Georgieva²

2016

Emir. J. Food Agric

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A new approach has been applied for identification of the changes in gene spectra, in accordance with the graphic model of Hayman, which allows making a comparison of varieties, presented in the graphics, as well as, a new method for interpretation of the change in location of certain varieties, with respect to given signs, at different environmental limits. In the genetic control of the characteristics of plant weight and seed weight per plant, a major role plays gene over-domination. The results obtained indicate a possibility of assessment of field peas genotypes by genetic-physiological systems in different environmental limits. No universal donor has been established between hybrids for attraction and adaptability. From selection point of view, of interest are the hybrids №11 (E.F.B.33 × Mir) with respect to green biomass (forage)and №12 (E.F.B.33 × Pleven 10), and with respect to seed №9 (Pleven 10 × E.F.B.33). Assessment of the source material, according to genetic-physiological systems, allows, with a higher degree of probability, to select an appropriate genotype, which exceeds the parental forms, in terms of productivity and ecological stability, and also to accelerate the process of creating new pea varieties.

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Section: Wr/vr Analysismentioning

confidence: 93%

Evaluation of genotypic and genetic variances of quantitative traits in pea (Pisum sativum L.)

Kosev¹,

Georgieva²

2016

Emir. J. Food Agric

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“…The starting point for these tasks is to set the desired combination of breeding characters (BC), which must be obtained in the second (segregated) progeny of the results of cross-breeding. Information and algorithmic foundation of these problems is the concept of "eco-genetic portrait", formulated in [2]. It represents a combination of positive feedback, or shifts BC derived from the contributions of 7 genetic-physiological systems in a module of final products.…”

Section: Main Body Eco-genetic Portraitsmentioning

confidence: 99%

“…33 -35]. This method formed the basis of mathematical models of "genotypeenvironment interaction" and algorithms of identification of genotype by phenotype, which were presented in [1,2].…”

Section: Introductionmentioning

confidence: 99%

Algorithms for Control of Genetic-Breeding Improvement of Economically Valuable Traits of Self-Pollinated Plants

Михайленко¹

2013

AFF

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“…To solve this problem, it is proposed to use the model of a quantitative productivity indicator, replacing the traditional model of Ronald Aylmer Fisher [32] for plants. The model proposed by us is formalized in the corresponding algorithms and programs [38].…”

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confidence: 99%

“…Developing our model [38,40,41], we proceed from the fact that the plants have the following seven GPS, controlling which breeders achieve an ecogenetic increase in yield. The first is the system of photosynthetic product attraction from stems and leaves to the ear (cereals), capitulum (sunflower), cob (corn), fruit and berries.…”

mentioning

confidence: 99%

On How We Can Non-Canonically Increase Hereditary Drought Resistance in Plants (By an Example of Cereals)

Dragavtsev¹,

Михайленко²,

Proskuryakov³

2017

S-h. biol.

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A b s t r a c tImprovement of hereditary drought resistance in crops is recently being among the main objectives for food security of humanity because of global warming and the growing costs for bakery and forage grain. Analysis of complex properties of drought resistance in cereals (phenotyping) shows the limitations of a canonical genocentric approach and the approaches based on molecular genetics to solve the problem of significant hereditary improvement of drought resistance. The priority epigenetic approach that we propose is based on the theory of eco-genetic organization of quantitative traits (TEGOQT). In TEGOQT seven genetic-physiological systems (GPS) involved in harvest increasing, but not particular traits of productivity, are to be operated with. These GPS are attractions; micro-distribution of attractive plastic substances between grains and chaff in ear; adaptability to drought, cold, frost, heat, salt, etc; horizontal immunity; «payment» by dry biomass for a limitative factor of soil nutrition -N, P, K, etc; tolerance to plant density in phytocenosis; hereditary variability in duration of the phases of ontogenesis). In this paper we discuss drought adaptability as a part of GPS complex. It is shown that phenotyping evaluation is necessary to analyze drought tolerance, the complex property to which no less than 22 component characters contribute. This allows to construct a set of eco-genetic portraits (EGP) of parent plants at different types of drought simulated in an artificial climate control chamber. The EGP are histograms which reflect the values of all components of drought resistance for each parent thus allowing to select pairs complementary in the elements of the EGP. Based on a predictive EGP, it is possible to define, through mathematical models that reflect the contribution of each component to the resulting drought tolerance, the optimum combination of components for ensuring maximum positive additive effect, and thus to manage selection of the parents for hybridization in view to create new drought resistant varieties.

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Mathematical Modelling in Plant Breeding. I. Theoretical Basis of Genotypes Identification on Their Phenotypes During Selection in Segregating Generations

Cited by 4 publications

References 1 publication

Evaluation of genotypic and genetic variances of quantitative traits in pea (Pisum sativum L.)

Evaluation of genotypic and genetic variances of quantitative traits in pea (Pisum sativum L.)

Algorithms for Control of Genetic-Breeding Improvement of Economically Valuable Traits of Self-Pollinated Plants

On How We Can Non-Canonically Increase Hereditary Drought Resistance in Plants (By an Example of Cereals)

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