Molecular approaches for genetic improvement of seed quality and characterization of genetic diversity in soybean: a critical review

Tripathi, Niraj; Khare, D.

doi:10.1007/s10529-016-2154-8

Cited by 21 publications

(17 citation statements)

References 45 publications

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“…Seed longevity was found to be significantly and positively correlated with number of pods per plant and seed yield (Chavan, 2019). However, a significant negative association of seed longevity with 100-seed weight and number of branches per plant were also established (Naik et al 2016;Tripathi and Khare, 2016;Chirchir et al 2017). Among the two traits exhibiting positive association, the magnitude of association was stronger with number of pods per plant as compared to seed yield indicating thereby importance of number of pods per plant as important criteria for direct and positive selection for seed longevity.…”

Section: Resultsmentioning

confidence: 99%

Seed Longevity and Its Association with Agronomic Traits in Soybean [Glycine max (L.) Merrill]

Singh

Kanwar

Kapila

et al. 2021

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Background: Soybean is an important oilseed crop but it has poor seed longevity. Studies on seed longevity are very complex and hence, an indirect selection criterion should be identified. In this study, seed longevity and its association with agronomic traits of seven soybean varieties was evaluated in the year 2019-2020.Methods: Seed were kept for storage under ambient conditions for a period of 16 months (January 2019 to May 2020). Their germination was recorded at bimonthly intervals and seed longevity was inferred as the time period in months up to which the seed maintains its germination percentage above IMSCS.Result: Accordingly, Palam Early Soya 1 and Him Palam Hara Soya were classified as having short seed longevity (12 months). Hara Soya, Shivalik, Him Soya and Palam Soya were classified as having medium seed longevity (14 months). Whereas, PS 1556 was classified as having long seed longevity ( greater than 16 months). Further, it was found that seed longevity was positively associated with number of pods per plant and seed yield, and negatively associated with number of branches per plant and 100-seed weight. This study presents an indirect selection criterion based on some easily accessible parameters which have strong association with seed longevity.

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Section: Resultsmentioning

confidence: 99%

Seed Longevity and Its Association with Agronomic Traits in Soybean [Glycine max (L.) Merrill]

Singh

Kanwar

Kapila

et al. 2021

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“…In the case of drought tolerance, availability of markers tightly linked to tolerant genes will help in identifying plants carrying these genes. Microsatellite markers are adjudged as the most effective and reliable DNA markers for such studies due to their abundance in the genome, multi allelism, genome specificity and even distribution, multi-allelism easy detection, high-throughput, highly reproducible and codominantly inherited behaviour [12,13,14,15,16,17,18,19,20,21,22]. Therefore, the use of SSR markers is a precious approach for the diversity analysis among pearl millet genotypes.…”

Section: Introductionmentioning

confidence: 99%

Screening of Pearl Millet [Pennisetum glaucum (L.) R. Br.] Germplam Lines for Drought Tolerance Based on Morpho-physiological Traits and SSR Markers

Choudhary¹,

Tripathi²,

Tiwari³

et al. 2021

CJAST

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Aim: The present study was undertaken to analyze genetic diversity among pearl millet genotypes based on drought linked morpho-physiological and microsatellite markers. Study Design: In the present investigation, 96 pearl millet germplasm lines were screened against drought using different morphological and physiological traits along with SSR markers. Place and Duration of the Study: The present study was conducted at College of Agriculture, Gwalior, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, M.P., India during July 2019 to December, 2020. Methodology: The study was conducted to record different morphological and physiological traits related to drought tolerance and susceptibility. Thirty five microsatellite markers were also used in laboratory to analyze the variability among pearl millet genotypes under study. Results: Pearl millet genotypes were grouped according to their morpho-physiological characteristics. Among 35 SSR markers, twenty-two were successfully amplified across all germplasm lines and seven SSR markers were found to be polymorphic and fifteen markers were monomorphic. All seven polymorphic SSR markers were used consequently for amplification of all the 96 germplasm lines. The range of PIC value was 0.0939 to 0.2980 with the average of 0.2274. The highest PIC value was recorded for the markers Xibmsp26 and Xibmsp29 (0.2980), followed by Xibmsp03 (0.2392), Xibmsp29 (0.2392), Xibmsp06 (0.2289) and Xibmsp07 (0.1948) while the lowest for the marker Xibmsp01 (0.0939). The range of major allele frequency value was 0.7604 to 0.9479 with the average of 0.8363. The range of genetic diversity value was 0.0987 to 0.3644 with the average of 0.2665. Conclusions: According to the morpho-physiological data a total of 22 pearl millet genotypes were found to be grouped distantly from rest of the genotypes. These genotypes had shown their drought tolerance bahaviour however, rests of the genotypes were found to be susceptible against drought.

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“…Plant breeders have found difficulty in creation of genetic variation through hybridization process in soybean due to small size and fragile nature of flowers. This makes the emasculation process of flower very difficult [12]. The level of genetic variability present between and among developed elite materials and commercialized soybean varieties has not been done accurately.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Diversity among Soybean Genotypes via Yield Attributing Traits and SSR Molecular Markers

Tripathi¹,

Tiwari²,

Tripathi

et al. 2021

CJAST

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Introduction: As an important source of nutrients to humans and animals, soybean is considered to be a major crop. Objective: The present study has been executed to identify diverse soybean genotypes on account of different morpho-physiological and microsatellite molecular markers. Study Design: Data for Morpho-physiological traits were recorded from experiment conducted under field conditions in RBD design whereas molecular work was conducted in Laboratory. Place and Duration of the Study: The present study was conducted at College of Agriculture, Gwalior, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, M.P., India during Kharif 2018-19. Methodology: The study was conducted to document different morphological and physiological traits related to the yield and its attributing traits in soybean. Total 32 microsatellite markers were also used in laboratory to analyze the variability among soybean genotypes. Results: Morpho-physiological analysis among 53 genotypes revealed the presence of considerable level of variability. Phylogenetic tree based on morpho-physiological traits grouped the genotypes into major and minor cluster. Major cluster had fifty genotypes while minor cluster had only three genotypes. Among polymorphic 32 microsatellite markers, the highest genetic diversity (0.66) was recorded in Satt520 whilst lowest (0.037) was in Satt557 with an average of 0.35. The highest PIC value was 0.59 prearranged by Satt520 and lowest 0.036 by Satt557. An average major allele frequency was 0.69 while, an average PIC value was 0.32. Microsatellite markers-based data also grouped the genotypes into one major and one minor cluster. Conclusion: Molecular analysis based on microsatellite markers confirms the presence of genetic variability among genotypes under the investigation. Data obtained in the present investigation may contribute towards improvement of soybean genotypes to develop high yielding varieties by considering diverse genotypes with good agronomical traits in hybridization programme.

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Molecular approaches for genetic improvement of seed quality and characterization of genetic diversity in soybean: a critical review

Cited by 21 publications

References 45 publications

Seed Longevity and Its Association with Agronomic Traits in Soybean [Glycine max (L.) Merrill]

Seed Longevity and Its Association with Agronomic Traits in Soybean [Glycine max (L.) Merrill]

Screening of Pearl Millet [Pennisetum glaucum (L.) R. Br.] Germplam Lines for Drought Tolerance Based on Morpho-physiological Traits and SSR Markers

Evaluation of Diversity among Soybean Genotypes via Yield Attributing Traits and SSR Molecular Markers

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