Integration of Conservation Strategies of Plant Genetic ... - Genres
Integration of Conservation Strategies of Plant Genetic ... - Genres
Integration of Conservation Strategies of Plant Genetic ... - Genres
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New Approaches to Evaluation <strong>of</strong> <strong>Genetic</strong>al Structure <strong>of</strong> <strong>Plant</strong> Populations for in situ and ex situ<br />
<strong>Conservation</strong> <strong>of</strong> <strong>Plant</strong> <strong>Genetic</strong> Resources<br />
V. A. DRAGAVTSEV 1<br />
It is shown that besides the mechanism <strong>of</strong> differential activity <strong>of</strong> genes, which is induced, on the one<br />
hand, by the law <strong>of</strong> ontogenesis, while on the other hand, by environmental stresses, there exists the<br />
mechanisms <strong>of</strong> redetermination <strong>of</strong> genetical formulae <strong>of</strong> quantitative characters in different environments<br />
[1, 2]. On the basis <strong>of</strong> this mechanisms we created a new ecogenetical model <strong>of</strong> organization <strong>of</strong><br />
quantitative characters [3, 4]. Using this ecogenetical model, it is possible to explain and predict the<br />
behaviour <strong>of</strong> many important genetical parameters <strong>of</strong> populations in different environments against the<br />
background <strong>of</strong> different limiting factors. From the standpoint <strong>of</strong> the ecogenetical model, the theory <strong>of</strong><br />
polygenetic inheritance, developed by K. Mather [5], is a weak model without scientific prediction <strong>of</strong><br />
changes in genetical parameters. Our model shows that now there are no good methods for genetic<br />
analysis <strong>of</strong> quantitative characters. It is impossible to have a stable "passport" <strong>of</strong> genetical structure <strong>of</strong><br />
any quantitative character for any environment.<br />
We have withdrawn from studying the genetics <strong>of</strong> quantitative characters. Now we study the genetical<br />
organization <strong>of</strong> the following six genetical-physiological systems:<br />
1. Genes <strong>of</strong> attraction (attr)<br />
2. Genes <strong>of</strong> micro-distribution <strong>of</strong> attractive plastic substances (mic)<br />
3. Genes <strong>of</strong> adaptivity (cold, drought, frost, salt resistance) (ad)<br />
4. Genes <strong>of</strong> "feed paying" (i.e. efficiency <strong>of</strong> using nitrogen, phosphorus, etc.) (ef)<br />
5. Genes <strong>of</strong> tolerance to density in phytocenosis (tol)<br />
6. Genes <strong>of</strong> variability <strong>of</strong> parts <strong>of</strong> ontogenesis (ont)<br />
Together with A. Djakov we carefully studied the reasons <strong>of</strong> the success <strong>of</strong> best breeders, such as<br />
V.Pustovoit, P. Lukjanenko and others [6]. Each <strong>of</strong> them used one from six genetical systems for radical<br />
improvement <strong>of</strong> species.<br />
We found the phenomenon <strong>of</strong> orthogonality in the effects <strong>of</strong> genes and effects <strong>of</strong> environmental factors<br />
in determining the coordinated <strong>of</strong> characters. With the help <strong>of</strong> this phenomenon, it is possible to<br />
delimitate very quickly the contribution <strong>of</strong> genes and environmental contribution to the level <strong>of</strong> a<br />
quantitative character. For example, see Fig. 1.<br />
On the background <strong>of</strong> this approach we developed the new methods <strong>of</strong> creating core collections <strong>of</strong> selfpollinated<br />
crops. For example, in the Institute's collection we have about 40,000 samples <strong>of</strong> bread wheat.<br />
The core collection <strong>of</strong> genes <strong>of</strong> attraction (Fig. 1) should have about 400 samples, while the best<br />
genotypes - about 50 samples, which would make the working collection for plant breeders. A working<br />
collection for six genetical systems should be about 300 to 40 samples.<br />
These methods are very interesting for analysis <strong>of</strong> natural populations. The focuses with maximum<br />
1<br />
Author's address:<br />
N.I. Vavilov Research Institute <strong>of</strong> <strong>Plant</strong> Industry (VIR)<br />
42-44, B. Morskaya Street<br />
St. Petersburg 190000<br />
Russia