Evolutionary studies of the soybean: the frequency and distribution of alleles among collections of Glycine Max and G. Soja of various origin

Broich, Steven L.; Palmer, Reid G.

doi:10.1007/bf00033659

Cited by 45 publications

(34 citation statements)

References 21 publications

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“…These six populations growing within a 200 km geographic range possessed 76.6% of the reported alleles for the 35 loci studied (72/94) . The more rare alleles and high- (Broich & Palmer, 1981 ;Hymowitz & Kaizuma, 1981 ;Kiang & Gorman, 1983 ;Kiang et al ., 1987) prompt us to propose that South Korea is one of the world major soybean gene centers . One explanation is that wild soybean may have become adapted to the South Korean natural habitats for a longer period of time than to other habitats, resulting in the accumulation of more variation, which then has been transferred to the cultivated soybean through gene flow.…”

Section: Table 4 Partitioning Of the Gene Diversity (H T) Within (H mentioning

confidence: 99%

“…Genetic variation in soybean has been examined in a number of studies with isozymes and other biochemical and morphological genetic markers (Broich & Palmer, 1981 ;Bult, 1989 ;Chiang, 1985 ;Hu & Wang, 1985 ;Hymowitz & Kaizuma, 1979 . The results indicate that the amount of variation is comparable to or higher than that in other self-fertilized plant species (Bult, 1989;Chiang, 1985 ;Kiang et al, 1987) .…”

Section: Introductionmentioning

confidence: 99%

“…Wild soybean consistently shows a higher level of variation than domestic cultivars (Kiang & Gorman, 1983 ;Kiang et al ., 1987) . There seems to be a trend that South Korea and southern Japan have more rare alleles and higher variation for soybean than other geographic regions (Broich & Palmer, 1981 ;Hymowitz & Kaizuma, 1979Kiang & Gorman, 1983 ;Kiang et al, 1987) .…”

Section: Introductionmentioning

confidence: 99%

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Genetic variation in South Korean natural populations of wild soybean (Glycine soja)

Kiang

1993

Euphytica

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Wild relatives are valuable genetic resources for crop improvement . Evaluating genetic variation in these species is not only important for their use in breeding programs, but will also provide information about evolution of crops . Seeds representing six natural populations were used to study the level of variation in the South Korean wild soybean . Electrophoretic assays of the seeds on horizontal slab gels were conducted to determine the genotypes of each natural plant at 35 loci in 17 isozymes and one protein . The results indicated a surprisingly high variation. The number of alleles at each locus was as high as four . Seventy two of the 94 reported alleles for the 35 loci were present in these populations . The average number of alleles per locus, 99% polymorphism and the expected heterozygosity in the total population were 2 .1,77 .1% and 0 .215, respectively. This amount of variation was not only higher than that reported for 857 soybean cultivars and wild soybean populations from other geographic regions, but also higher than the average for 123 self-fertilized plant species and 473 plant species of all mating systems . The high variation in the South Korean wild soybean as well as cultivated soybean indicated in this and other population genetic studies prompts us to propose that South Korea is one of the major soybean gene centers .

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Section: Table 4 Partitioning Of the Gene Diversity (H T) Within (H mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Genetic variation in South Korean natural populations of wild soybean (Glycine soja)

Kiang

1993

Euphytica

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“…We feel that we have been successful in this regard. We uncovered and characterized three loci G. max and G^ soja are interfertile, but Broich and Palmer (1981) have suggested that the effects of stabilizing selection would tend to favor either the cultivated or the wild phenotype, and intermediates would disappear. Alleles which were selectively neutral (as these isozyme alleles may be) could thus be introgressed unambiguously into either population.…”

Section: Discussionmentioning

confidence: 99%

“…Based on a cluster analysis of these data, they concluded that ^ max and ^ soja should be considered separate species, but that G^ max and G^^ gracilis are conspecific. Broich and Palmer (1981) surveyed the frequency of alleles at 10 loci conditioning qiialitative traits in max and soja. They suggested that recessive mutations at three loci had accumulated in max during domestication.…”

Section: Broich and Palmer (1980) Measured 36 Morphological (Quantitamentioning

confidence: 99%

Genetic and germplasm studies with several isoenzyme loci in soybean (Glycine max [L.] Merr)

Griffin

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Automated trichome counting in soybean using advanced image‐processing techniques

et al. 2020

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Premise Trichomes are hair‐like appendages extending from the plant epidermis. They serve many important biotic roles, including interference with herbivore movement. Characterizing the number, density, and distribution of trichomes can provide valuable insights on plant response to insect infestation and define the extent of plant defense capability. Automated trichome counting would speed up this research but poses several challenges, primarily because of the variability in coloration and the high occlusion of the trichomes. Methods and Results We developed a simplified method for image processing for automated and semi‐automated trichome counting. We illustrate this process using 30 leaves from 10 genotypes of soybean ( Glycine max ) differing in trichome abundance. We explored various heuristic image‐processing methods including thresholding and graph‐based algorithms to facilitate trichome counting. Of the two automated and two semi‐automated methods for trichome counting tested and with the help of regression analysis, the semi‐automated manually annotated trichome intersection curve method performed best, with an accuracy of close to 90% compared with the manually counted data. Conclusions We address trichome counting challenges including occlusion by combining image processing with human intervention to propose a semi‐automated method for trichome quantification. This provides new opportunities for the rapid and automated identification and quantification of trichomes, which has applications in a wide variety of disciplines.

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Evolutionary studies of the soybean: the frequency and distribution of alleles among collections of Glycine Max and G. Soja of various origin

Cited by 45 publications

References 21 publications

Genetic variation in South Korean natural populations of wild soybean (Glycine soja)

Genetic variation in South Korean natural populations of wild soybean (Glycine soja)

Genetic and germplasm studies with several isoenzyme loci in soybean (Glycine max [L.] Merr)

Automated trichome counting in soybean using advanced image‐processing techniques

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