The co-inoculation of Pseudomonas chlororaphis H1 and Bacillus altitudinis Y1 promoted soybean [Glycine max (L.) Merrill] growth and increased the relative abundance of beneficial microorganisms in rhizosphere and root. [PDF]
Front Microbiol, 2022 Currently, plant growth-promoting rhizobacteria (PGPR) microbial inoculants are heavily used in agricultural production among which Pseudomonas sp. and Bacillus sp.
Zhang W, Mao G, Zhuang J, Yang H.
europepmc +2 more sources
Zinc-Solubilizing Streptomyces spp. as Bioinoculants for Promoting the Growth of Soybean (Glycine max (L.) Merrill). [PDF]
J Microbiol Biotechnol, 2022 Zinc-solubilizing bacteria can convert the insoluble form of zinc into soluble forms available to plants. This study was conducted to isolate and screen zinc-solubilizing actinobacteria from rhizosphere soils and to assess their effect on vegetable ...
Suriyachadkun C +4 more
europepmc +2 more sources
The Photosynthetic Efficiency and Carbohydrates Responses of Six Edamame (Glycine max. L. Merrill) Cultivars under Drought Stress. [PDF]
Plants (Basel), 2022 Vegetable-type soybean, also known as edamame, was recently introduced to South Africa. However, there is lack of information on its responses to drought.
Hlahla JM +6 more
europepmc +2 more sources
The Interplay between Light Quality and Biostimulant Application Affects the Antioxidant Capacity and Photosynthetic Traits of Soybean (Glycine max L. Merrill). [PDF]
Plants (Basel), 2021 This paper evaluates the combined effect of biostimulant and light quality on bioactive compound production and seedling growth of soybean (Glycine max L. Merrill) plants. Germinated seeds pre-treated with different concentrations (0.01%, 0.05%, 0.5%) of
Vitale E +5 more
europepmc +2 more sources
Isoflavones, anthocyanins, phenolic content, and antioxidant activities of black soybeans (Glycine max (L.) Merrill) as affected by seed weight. [PDF]
Sci Rep, 2020 Seed weight is regulated by several genes which in turn could affect the metabolite contents, yield, and quality of soybean seeds. Due to these, seed weight is receiving much attention in soybean breeding.
Choi YM +8 more
europepmc +2 more sources
Metabolite Contents and Antioxidant Activities of Soybean (Glycine max (L.) Merrill) Seeds of Different Seed Coat Colors. [PDF]
Antioxidants (Basel), 2021 Seed coat color is one of the main agronomical traits that determine the chemical quality of soybean seeds and has been used as a parameter during cultivar development. In this study, seeds of yellow (n = 10), greenish-yellow (n = 5), and light-yellow (n
Choi YM +8 more
europepmc +2 more sources
Genome wide association mapping and candidate gene analysis for hundred seed weight in soybean [Glycine max (L.) Merrill]. [PDF]
BMC Genomics, 2019 The hundred seed weight (HSW) is one of the yield components of soybean [Glycine max (L.) Merrill] and is especially critical for various soybean food types.
Zhao X +7 more
europepmc +2 more sources
The market varieties replenishment: soybean (Glycine max. (L.) Merrill.)
Plant Varieties Studying and Protection, 2013 The article concerns directions of valuable protein crops using, soybeans, growth rates of its production throughout the world in recent years, the opportunity and the necessity of making this crop strategic in our country, problems and prospects of the ...
О. І. Безручко +2 more
doaj +5 more sources
GmBRC1 is a Candidate Gene for Branching in Soybean (Glycine max (L.) Merrill). [PDF]
Int J Mol Sci, 2019 Branch number is one of the main factors affecting the yield of soybean (Glycine max (L.)). In this study, we conducted a genome-wide association study combined with linkage analysis for the identification of a candidate gene controlling soybean ...
Shim S +7 more
europepmc +2 more sources
Genetic divergence in soybean [Glycine max (L.) Merrill.] [PDF]
Electronic Journal of Plant Breeding, 2014 Divergence analysis among sixty one soybean (Glycine max (L.) Merrill.) genotypes collected from different geographic sources was carried out using Mahalanobis’s D2 statistic. The genotypes were grouped into eleven different clusters.
V.H. Kachhadia, V. V. Baraskar, J. H. Vachhani, M. B. Patel and H. R. Barad
doaj +1 more source