Tag Archives: soybean

2460–2473 A. Zymaroieva, O. Zhukov, T. Fedonyuk and A. Pinkin
Application of geographically weighted principal components analysis based on soybean yield spatial variation for agro-ecological zoning of the territory
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Application of geographically weighted principal components analysis based on soybean yield spatial variation for agro-ecological zoning of the territory

A. Zymaroieva¹*, O. Zhukov², T. Fedonyuk³ and A. Pinkin⁴

¹Zhytomyr National Agroecological University, Faculty of Forestry, Department of Forest Resources Utilization, Stary Blvd. 7, UA10008 Zhytomyr, Ukraine
²Oles Honchar Dnipro National University, Faculty of Biology and Ecology, Department of Zoology and Ecology, pr. Gagarina, 72, UA49010 Dnipro, Ukraine
³Zhytomyr National Agroecological University, Faculty of Forestry, Department of Forest Ecology and Life Safety, Stary Blvd. 7, UA10008 Zhytomyr, Ukraine
⁴Zhytomyr National Agroecological University, Faculty of Engineering and Power Engineering, Department of Electrification, Automation of Production and Engineering Ecology, Stary Blvd. 7, UA10008 Zhytomyr, Ukraine
*Correspondence: nastya.zymaroeva@gmail.com

Abstract:

In this study, the geographically weighted principal components analysis as an alternative method for agro-ecological characterization of the region was provided. The spatial and temporal distribution pattern of soybean yield was analyzed by using spatial statistics technology, which provided a good reference for agricultural development planning. The soybean yield was selected for the present study because it is a comprehensive indicator reflecting the production potential of the regional agroecosystems. The organized data set, which included the average per year yields of soybean in 10 regions (206 administrative districts) of Ukraine, was used for analysis. The regular temporal trend, specific for each district, was previously extracted from the time series data. The principal components analysis of the detrended data allowed to identify four principal components, which altogether can explain 58% of the soybean yield variation. The geographically weighted principal components analysis allowed to reveal that four spatially determined processes were influencing the yield of soybeans and had the oscillatory dynamics of different periodicity. It was hypothesized that the oscillating phenomena were of ecological nature. Geographically weighted principal component analysis revealed spatial units with similar oscillatory component of soybean yield variation. Our study confirmed the hypothesis that within the studied territory there are zones with the specific patterns of the temporal dynamics of soybean yield, which are uniform within each area but qualitatively different between zones. The territorial clusters within which the temporal dynamics of soybean yield is identical can be considered as agro-ecological zones for soybean cultivation.

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2217–2225 M. Zargar, E. Romanova, A. Trifonova, E. Shmelkova and P. Kezimana
AFLP-analysis of genetic diversity in soybean [Glycine max (l.) Merr.] cultivars Russian and foreign selection
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AFLP-analysis of genetic diversity in soybean [Glycine max (l.) Merr.] cultivars Russian and foreign selection

M. Zargar¹*, E. Romanova¹, A. Trifonova², E. Shmelkova¹ and P. Kezimana¹

¹Department of AgroBiotechnology, Institute of Agriculture, RUDN University, RU117198 Moscow, Russia
²Laboratory of Plant Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, RU119333 Moscow, Russia
*Correspondence: zargar_m@pfur.ru

Abstract:

Genetic diversity of 11 cultivars of soybean (Glycine max) from a VIR (N.I. Vavilov Institute of Plant Genetic Resources) collection was analyzed by the AFLP (amplified fragment length polymorphism) technique. From 18 tested primer combinations, both of them were selected for further analysis. From these two primer combinations (E32/M60 and E32/M59), 90 DNA fragments were obtained, 39 (43%) of them were polymorphic. Unique DNA fragments were found in accessions SibNIISHoz 6, Soer-4, Determinant. The Jaccard’s similarity indices varied from 0.79 (between Sonata and Ugra) to 0.94 (between Ugra and Garmoniya) with an average of 0.775. Cluster analysis placed the cultivars into the several groups but separation in groups was not related to their origin or biological characteristics, even though cultivars Nordik and Soer-4 (cultivars recommended for Central Black Earth region of Russia) clustered together on the dendrogram. The obtained high values of Jaccard genetic similarity index and low level of polymorphism and differentiation illustrated a relatively low genetic diversity in our studied cultivars, which correlated with different other studies on soybean genetic diversity with AFLP-analysis.

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1419–1426 A.C. Olcay, G. Bilir, Ö. Taş, M. Deniz and D. Ekinci
Partial Purification of β–glucosidase enzyme from soybean (Glycine max) and determination of inhibitory effects two quercetin derivatives on enzyme activity
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Partial Purification of β–glucosidase enzyme from soybean (Glycine max) and determination of inhibitory effects two quercetin derivatives on enzyme activity

A.C. Olcay, G. Bilir, Ö. Taş, M. Deniz and D. Ekinci*

Ondokuz Mayıs University, Faculty of Agriculture, Department of Agricultural Biotechnology, TR 55139 Samsun, Turkey; e-mail: deniz.ekinci@omu.edu.tr

Abstract:

 Glucosidases are enzymes that catalyze the hydrolysis of the glycosidic linkage of glycosides, leading to the formation of a sugar hemiacetal or hemiketal and the corresponding free aglycon. Activity of glucosidases is crucial for several biochemical processes. Thus, discovery of new glucosidase inhibitors is crucially important owing to potential therapeutic applications of this enzyme in the treatment of diabetes, human immunodeficiency virus infection, metastatic cancer, lysosomal storage disease etc. In the current study, inhibitory potential of ‘quercetin’ and its isomeric form ’morin hydrate’ on the activity of β-glucosidase enzyme, present in the extract of soybean (Glycine max L.) seeds, were investigated. The compounds exhibited moderate inhibitory action in low milimolar concentrations. I50 values were calculated as 0.188 and 0.138 mM for quercetin and morin hydrate, respectively. The results have confirmed that these compounds can be used as leads for designations of novel glucosidase inhibitors which would be used in medicinal biotechnology and food science and technology.

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