Variability in the productivity of peanut accessions (Arachis hypogaea L.) at ecological-geographical testing

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Abstract

BACKGROUND: Russia is one of the largest peanut-buying countries. At the same time, in the south of the country, a number of zones meet the requirements for the cultivation of peanuts.

AIM: Identification of a new source material for peanut breeding by the method of ecological and geographical testing of collection samples.

MATERIALS AND METHODS: The work used 30 of peanuts accessions from the VIR collection of various origins. To assess the stability of productivity, standard deviation (s), coefficient of variation (Cv) and regression (βi) for environmental conditions according to Eberhart and Russell were used.

RESULTS: As a result of the study, the possibility of growing individual varieties of peanuts in the south of the RF under modern conditions was confirmed. It was determined that some samples are more productive and suitable as starting material for the conditions of the Krasnodar Territory (k-283, k-1157), others — for the conditions of the Astrakhan region (k-317, k-868). The accessions of the VIR collection were found to be more productive at 2 points experience, also marked as plasticity k-751, k-283, k-626, k-1533, k-1987.

CONCLUSIONS: In contrasting conditions (two geographical points for 3 years of study), peanuts accessions were identified that strongly react to changes in environmental conditions. Stable and plastic in productivity accessions can serve as the initial breeding material. It has been established that peanuts can be cultivated in the south of the Russian Federation, namely in the Astrakhan Region and the Krasnodar Territory.

About the authors

Viktoriya D. Bemova

N.I. Vavilov All-Russian Institute of Plant Genetic Resources; Saint Petersburg State University

Author for correspondence.
Email: viktoria.bemova@yandex.ru
ORCID iD: 0000-0002-9574-0356
SPIN-code: 7086-1840

research laboratory assistant, Oil and Fibre Crops Department

Russian Federation, Saint Petersburg; Saint Petersburg

Tamara V. Yakusheva

N.I. Vavilov All-Russian Institute of Plant Genetic Resources; Kuban Experiment Station, N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Email: yakusheva.vir@yandex.ru
ORCID iD: 0000-0002-2661-2377
SPIN-code: 4016-5033

junior research associate

Russian Federation, Saint Petersburg; village Botanika, Krasnodar Region

Minira Sh. Asfandiyarova

N.I. Vavilov All-Russian Institute of Plant Genetic Resources; Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences

Email: rtuz@yandex.ru
ORCID iD: 0009-0008-3683-7431
SPIN-code: 3146-0873

Senior  Researcher of Agricultural Sciences

Russian Federation, Saint Petersburg; village Solenoe Zaimishche, Astrakhan Province

Vera A. Gavrilova

N.I. Vavilov All-Russian Institute of Plant Genetic Resources; Saint Petersburg State University

Email: v.gavrilova@vir.nw
ORCID iD: 0000-0002-8110-9168
SPIN-code: 6835-8852

Dr. Sci. (Biol.), chief researcher

Russian Federation, Saint Petersburg; Saint Petersburg

Natalia V. Kishlyan

N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Email: natalya-kishlyan@yandex.ru
ORCID iD: 0000-0003-4454-6948
SPIN-code: 5005-0724

Cand. Sci. (Biol.), senior research associate

Russian Federation, Saint Petersburg

Lyubov Yu. Novikova

N.I. Vavilov All-Russian Institute of Plant Genetic Resources

Email: l.novikova@vir.nw.ru
ORCID iD: 0000-0003-4051-3671
SPIN-code: 8700-6383

Dr. Sci. (Agricultural), leading research associate

Russian Federation, Saint Petersburg

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. The agrometeorological conditions of the experiment are the sum of positive temperatures above 10°C and the sum of precipitation for the period with temperatures above 10°C at the Kuban Experimental Station and at the Caspian Agrarian Federal Scientific Center of the Russian Academy of Sciences in 2019–2021

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3. Fig. 2. Agrobiological indicators of 30 samples of peanuts grown at the Caspian Agrarian Federal Scientific Center and at the Kuban Experimental Station in 2019–2021: a — productivity; b — ripening of beans. Shown are: minimum, maximum values, quantiles, median

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4. Fig. 3. Correlation of productivity of peanut samples at the Kuban Experimental Station (CBS) and at the Caspian Agrarian Federal Scientific Center (PAFSC). Solid line — regression line

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