Phenotypic traits and diversity of different leaf shape accessions of the wild soybean (Glycine soja Sieb. et Zucc.) in China

2014 ◽  
Vol 94 (2) ◽  
pp. 397-404 ◽  
Author(s):  
Xuefei Yan ◽  
Hongkun Zhao ◽  
Xiaodong Liu ◽  
Qiyun Li ◽  
Yumin Wang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Glycine Soja ◽  
Leaf Shape ◽  
Wild Soybean ◽  
Phenotypic Traits ◽  
Evolutionary Status ◽  
Important Indicator ◽  
Linear Leaf ◽  
100 Seed Weight

Yan, X., Zhao, H., Liu, X., Li, Q., Wang, Y., Yuan, C. and Dong, Y. 2014. Phenotypic traits and diversity of different leaf shape accessions of the wild soybean (Glycine soja Sieb. et Zucc.) in China. Can. J. Plant Sci. 94: 397–404. The phenotypic traits and diversity of different leaf shape groups of 6169 wild soybean accessions were investigated. The results included the following conclusions. First, the lanceolate leaf group had the highest genetic diversity. Second, the mean 100-seed weight was highest in the round leaf group (10.1 g); mean maturity time was longest in the eliptical leaf group (142 d); the ovate–round and linear leaf groups had higher mean protein content (45.7–46.1%); and the round leaf group had the highest oil content (16.3%). Finally, frequencies of white flower, high 100-seed weight and other traits in the round leaf group were disproportionately high; in contrast, linear leaf accessions were primarily characterized by purple flower and low 100-seed weight. Based on these results, we inferred that the lanceolate and linear leaves accessions tended to be wild types, while the round leaf group represented more recently evolved accessions. In addition, the accessions with eliptical, ovate–round and other leaves belonged to the intermediate evolutionary types. Our results also suggest that the abundant variation in leaf shape is an important indicator of level of genetic diversity and evolutionary status, which could facilitate the utilization of germplasm evaluation and classification for the wild soybean.

scholarly journals Fitness of F1 hybrids between 10 maternal wild soybean populations and transgenic soybean

2021 ◽  
Author(s):  
Jin Yue Liu ◽  
Ze Wen Sheng ◽  
Yu Qi Hu ◽  
Qi Liu ◽  
Sheng Qiang ◽  
...  
Keyword(s):  
Seed Weight ◽  
Wild Soybean ◽  
F1 Hybrids ◽  
Weed Competition ◽  
Transgenic Soybean ◽  
Wild Progenitor ◽  
F1 Hybrid ◽  
Dry Biomass ◽  
100 Seed Weight ◽  
Pod Number

AbstractThe releasing of transgenic soybeans (Glycine max (L.) Merr.) into farming systems raises concerns that transgenes might escape from the soybeans via pollen into their endemic wild relatives, the wild soybean (Glycine soja Sieb. et Zucc.). The fitness of F1 hybrids obtained from 10 wild soybean populations collected from China and transgenic glyphosate-resistant soybean was measured without weed competition, as well as one JLBC-1 F1 hybrid under weed competition. All crossed seeds emerged at a lower rate from 13.33–63.33%. Compared with those of their wild progenitors, most F1 hybrids were shorter, smaller, and with decreased aboveground dry biomass, pod number, and 100-seed weight. All F1 hybrids had lower pollen viability and filled seeds per plant. Finally, the composite fitness of nine F1 hybrids was significantly lower. One exceptional F1 hybrid was IMBT F1, in which the composite fitness was 1.28, which was similar to that of its wild progenitor due to the similarities in pod number, increased aboveground dry biomass, and 100-seed weight. Under weed competition, plant height, aboveground dry biomass, pod number per plant, filled seed number per plant, and 100-seed weight of JLBC-1 F1 were lower than those of the wild progenitor JLBC-1. JLBC-1 F1 hybrids produced 60 filled seeds per plant. Therefore, F1 hybrids could emerge and produce offspring. Thus, effective measures should be taken to prevent gene flow from transgenic soybean to wild soybean to avoid the production F1 hybrids when releasing transgenic soybean in fields in the future.

Genetic diversity and population structure of Korean wild soybean ( Glycine soja Sieb. and Zucc.) inferred from microsatellite markers

2017 ◽  
Vol 71 ◽  
pp. 87-96 ◽  
Author(s):  
Muhammad Amjad Nawaz ◽  
Seung Hwan Yang ◽  
Hafiz Mamoon Rehman ◽  
Faheem Shehzad Baloch ◽  
Jeong Dong Lee ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Microsatellite Markers ◽  
Glycine Soja ◽  
Wild Soybean

scholarly journals Genetic Diversity Studies in MAGIC Population of Soybean (Glycine max (L.) Merrill) Based on Mahalanobis D2 Distance

2021 ◽  
pp. 18-25
Author(s):  
Bidush Ranjan Swar ◽  
V. Swarnalatha ◽  
M. Rajendar Reddy ◽  
S. Vanisree
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Genetic Recombination ◽  
Breeding Programs ◽  
Total Genetic Diversity ◽  
Glycine Max L ◽  
Diversity Studies ◽  
100 Seed Weight ◽  
Number Of Branches

Soybean MAGIC lines are highly variable breeding material which utilizes both recent and historic genetic recombination events. Present investigation was carried out to assess the genetic diversity present among 95 soybean MAGIC lines along with six checks for 10 different quantitative traits. All the genotypes were grouped into 16 clusters by performing Tocher’s clustering method using Mahalanobis D2 distance. Cluster I was the largest comprising of 30 genotypes followed by cluster II (23 genotypes), cluster X (15 genotypes) and cluster IX (9 genotypes). The maximum genetic distance (D2) was observed between cluster XI and XV (168.37) followed by cluster III and XV (164.3), cluster X and XV (149.64) as well as between cluster XII and cluster XVI (145.99). The cluster mean for most of the traits were high in cluster I and cluster XVI. Oil content contributed maximum (23.86%) towards total genetic diversity followed by number of pods plant-1 (18.97%), seed yield plant-1 (18.63%), 100 seed weight (11.05%) and number of branches plant-1 (10.16%) traits. The soybean MAGIC lines belong to the cluster XI (6-120) and cluster XV (6-30, 6-31, 6-5) were found to be the most divergent hence can be utilised in the recombination breeding programs to exploit maximum heterosis.

Mapping QTLs for 100-seed weight in an interspecific soybean cross of Williams 82 (Glycine max) and PI 366121 (Glycine soja)

2017 ◽  
Vol 68 (2) ◽  
pp. 148 ◽  
Author(s):  
Krishnanand P. Kulkarni ◽  
Sovetgul Asekova ◽  
Dong-Ho Lee ◽  
Kristin Bilyeu ◽  
Jong Tae Song ◽  
...  
Keyword(s):  
Seed Weight ◽  
Glycine Soja ◽  
Recombinant Inbred Lines ◽  
Molecular Genetic ◽  
Interval Mapping ◽  
Major Influence ◽  
Environment Interaction ◽  
Molecular Genetic Basis ◽  
The Individual ◽  
100 Seed Weight

Seed weight can be an important component for soybean quality and yield. The objective of the present study was to identify quantitative trait loci (QTLs) for 100-seed weight by using 169 recombinant inbred lines (RILs) derived from the cross Williams 82 × PI 366121. The parental lines and RILs were grown for four consecutive years (2012–15) in the field. The seeds were harvested after maturity, dried and used to measure 100-seed weight. Analysis of variance indicated significant differences among the RILs for 100-seed weight. The environment had significant effect on seed-weight expression as indicated by the genotype × environment interaction. QTL analysis employing inclusive composite interval mapping of additive QTLs implemented in QTL IciMapping (Version 4.1) identified nine QTLs (LOD >3) on chromosomes 1, 2, 6, 8, 13, 14, 17 and 20. The individual QTLs explained phenotypic variation in the range 6.1–12.4%. The QTLs were detected in one or two environments, indicating major influence of the growing environment on seed-weight expression. Four QTLs identified in this study, qSW-02_1, qSW-06_1, qSW-13_1 and qSW-14_1, were found to be new QTLs. The findings of the study may be helpful to reveal the molecular genetic basis of the seed-weight trait in soybean.

Phenotypic and genotypic signature of saponin chemical composition in Chinese wild soybean (Glycine soja): revealing genetic diversity, geographical variation and dispersal history of the species

2018 ◽  
Vol 69 (11) ◽  
pp. 1126
Author(s):  
Yuya Takahashi ◽  
Xiang-Hua Li ◽  
Chigen Tsukamoto ◽  
Ke-Jing Wang
Keyword(s):  
Genetic Diversity ◽  
Chemical Composition ◽  
Genetic Structure ◽  
Southern China ◽  
Glycine Soja ◽  
Wild Soybean ◽  
Ice Age ◽  
High Genetic Diversity ◽  
The North ◽  
Or Genes

Saponin chemical composition was phenotyped and genotyped, and saponin composition-based geographical genetic diversity and differentiation were evaluated in Chinese wild soybean (Glycine soja Sieb. & Zucc.). Thirty-two phenotypes and 34 genotypes were confirmed from 3805 wild soybean accessions. Eleven phenotypes (AaαK, AaαIK, AaαIJK, AaBcEαJ, AaBcαK, AbEαIJ, AbαK, AbαIK, AbαIJK, AbβHAb and Aβ0) were newly detected. Four genes had frequencies: Sg-1a 78.8% and Sg-1b 21.0% at the Sg-1 locus; Sg-4 30.7% and Sg-6e 13.7% at their respective loci. The north-eastern and southern populations showed high genetic diversity; the Northeast region contained more novel variants (AuAe, A0, A0Bc, αH, αI αJ, αK, and AbβHAb), and the southern populations contained high frequencies of the Sg-4 gene. Gene differentiation (Fst) analysis suggested that Sg-4 and four group-α saponin alleles or genes (Sg-6e, Sg-6h, Sg-6i, Sg-6j) were important factors influencing the genetic structure and differentiation in Chinese wild soybeans. Geographical differentiation was characterised mainly by latitudinal differences, with two primary groups (north and south) based on saponin genes. Chinese wild soybean accessions differed from Japanese and South Korean ones in genetic structure based on saponin composition, the latter two being likely to have spread from southern China in the glacial stages during the last Ice Age.

Sign in / Sign up

Export Citation Format

Share Document