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Vasina EA, Butovets ES, Lukyanchuk LM. Results of a study of soybean source material for breeding purposes under the conditions of Primorsky Territory. PROCEEDINGS ON APPLIED BOTANY, GENETICS AND BREEDING 2022. [DOI: 10.30901/2227-8834-2022-4-19-29] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Background. A study of the soybean gene pool adapted to the conditions of Primorsky Territory in search of useful agronomic traits is essential for further use in breeding programs.Materials and methods. Soybean accessions from the germplasm collection were tested in 2019–2021 at the Federal Scientific Center of Agricultural Biotechnology of the Far East named after A.K. Chaika. The study included 213 accessions of various origin. Cv. ‘Primorskaya 4’ served as the reference. An objective assessment of the potential of the said research material was made.Results. Three years of experiments resulted in selecting promising soybean genotypes with a set of important agronomic traits for breeding programs. Compared to the reference ‘Primorskaya 4’, an increase of more than 35% in productivity was observed in the cultivars ‘Mestnaya’ (Russia), ‘Jilin’ (China), ‘Montreal’ (France), and ‘XP 977-1.9’ (USA). Cvs. ‘No. 075-2’ (USA), ‘K0152’ (Ukraine), ‘Muzanze Stamm M 4789/74’, ‘SOJA 1065’ and ‘Adsoi’ (Germany) were characterized by earliness (100 days). Cvs. ‘Mestnaya’ and ‘HS Atlas’ may be interesting for breeders due to their highest oil content: 25.9% and 26.0%, respectively. The highest protein content was found in cvs. ‘Zhuravushka’ (39.2%), ‘XN 4’ (41.9%), ‘Torlitsa’ (41.9%) and ‘XP 977-1.9’ (39.5%). Cvs. ‘Pi 6D 4182’, ‘XN 4’, ‘Skelya’ and ‘HS Atlas’ manifested resistance to Septoria brown spot. The results of the assessment for adaptability potential showed that the following cultivars of different origin had the highest resistance to environmental stresses: ‘Primorskaya 4’ (–2.5), ‘Torlitsa’ (–2.0) and ‘Kassidi’ (–3.0).
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Affiliation(s)
- E. A. Vasina
- Federal Scientific Center of Agricultural Biotechnology of the Far East named after A.K. Chaika
| | - E. S. Butovets
- Federal Scientific Center of Agricultural Biotechnology of the Far East named after A.K. Chaika
| | - L. M. Lukyanchuk
- Federal Scientific Center of Agricultural Biotechnology of the Far East named after A.K. Chaika
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The Choice of Soybean Cultivar Alters the Underyielding of Protein and Oil under Drought Conditions in Central Poland. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12157830] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The popularization of soybean cultivation in Central Poland is progressing due to the European Soy Declaration signed by 13 member states in Brussels on 17 July 2017. Hence, this research was initiated under the European Innovation Partnership on phenotyping soybean cultivars in two regions, i.e., Kuyavian-Pomeranian and Greater Poland for integrated systems. The aim of this study was to determine soybean potential in the agrotechnical and agroclimatic conditions, with the selection of the most suitable cultivars for tillage and no-tillage cultivation in the region of Central Poland. Strict field research was carried out in six locations from 2018–2020 on 20 cultivars selected in terms of their earliness of maturation to the climatic conditions. On the basis of meteorological data, it was found that half of the plantations suffered from drought stress, as evidenced by the hydrothermal coefficients (K) for the growing season of soybean K < 1.2. The significant multivariate relationship (R = 0.67; p < 0.001) between the hydrothermal coefficient K and the vegetation period days (VPD) as the predictors of the soybean yield was determined by the regression equation Y(yield) = 21.8 + 12.0 X(K) + 0.20 X(VPD). A significant multivariate relationship (R = 0.43; p < 0.01) was also found between the seed yield, hydrothermal coefficient K and the protein content, quantified with the regression equation Y(protein) = 32.6 + 0.25 X(Yield) + 0.28 X(K). In the no-tillage system of cultivation, the seed yield of soybean constantly increased with increasing K (+32.3% between dry/relatively dry and optimal periods, +22.4% between optimal and humid periods), while in the tillage system, the yield increased by 22.1% only when K rose from optimal to humid. In the seasons with optimum and humid conditions, no-tilled soybean produced more oil, in comparison to the season of dry conditions, and the opposite trend was found with the greater oil content in the tillage system. Meanwhile, a higher protein content was observed in the tillage system under humid conditions. All soybean cultivars were grouped according to the cluster analysis (k-means) with ANOVA in terms of vegetation period in days, seed yield, oil, and protein content for tillage and no-tillage cultivation. The study confirmed that soybean might be considered in the future as a profitable crop in Central Poland and create perspective for a low-input source of protein and oil.
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Hider NHAH, Zhmurko V. Influence of different photoperiodic conditions on the protein and oil content in soybean seeds (Glycine Max (L.) Merr.). SCIENCERISE: BIOLOGICAL SCIENCE 2020. [DOI: 10.15587/2519-8025.2020.201416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
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