Morphological Characterization, Variability and Diversity among Vegetable Soybean (Glycine max L.) Genotypes

Shilpashree, Nagaraju; Devi, S Nirmala; Manjunathagowda, Dalasanuru Chandregowda; Anjanappa, M.; Abdelmohsen, Shaimaa A. M.; Tamam, Nissren; Elansary, Hosam O.; El-Abedin, Tarek K. Zin; Abdelbacki, Ashraf M. M.; Janhavi, Veerabhadregowda

doi:10.3390/plants10040671

Cited by 30 publications

(19 citation statements)

References 18 publications

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“…The AMMI analysis has been widely used to select promising genotypes in terms of stability and superiority across multiple environments [59][60][61][62][63]. The high proportion of genotype effect to total phenotypic variance shown in this study for all measured seed compositions traits, except for stearic acid, was also reported in previous studies [64,65]. This indicates that the phenotypic variance of such traits was highly controlled by genotypic variation more than environmental variation and also provides an opportunity for selection gain [65].…”

Section: Discussionsupporting

confidence: 77%

Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

et al. 2021

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In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were utilized to determine the stability of the soybeans for seven seed composition traits viz; protein content, oil content, and five fatty acids (palmitic, stearic, oleic, linoleic, and linolenic acids). Based on the WAASB index, the following genotypes were identified as stable genotypes for some specific traits; ZDD12828 and ZDD12832 for protein content, WDD01583 and WDD03025 for oil content, ZDD23040 for palmitic acid, WDD00033 for stearic acid, ZDD23822 for oleic acid, ZDD11183 for linoleic acid, and ZDD08489 for linolenic acid. Furthermore, based on MTSI at a selection intensity of 10%, 14 soybean genotypes were selected for their average performance and stability. Overall, the MTSI was shown to be a powerful and simple tool for identifying superior genotypes in terms of both performance and stability, hence, identifying stable soybean genotypes for future breeding programs of quality traits.

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Section: Discussionsupporting

confidence: 77%

Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

et al. 2021

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“…More than 10 SNPs associated with seed size and weight were reported across different chromosomes for grain soybean [ 24 ]. Multiple SNPs associated with seed weight were also identified across two different chromosomes for vegetable soybean [ 25 , 26 ]. Seed size and weight are important characteristics for vegetable soybean production.…”

Section: Discussionmentioning

confidence: 99%

“…In this study, 16 and 10 genes were associated with sucrose and starch metabolic processes, respectively, some of which might play a role in sucrose and starch metabolism. A number of SNPs are reportedly associated with sucrose and protein contents [ 8 , 26 , 27 ]. Once confirmed, the differences could provide an insight into breeding selection of vegetable soybean as well as the loss of function of genes that may have a key role in grain soybean.…”

Section: Discussionmentioning

confidence: 99%

Genome-Wide Variation Analysis of Four Vegetable Soybean Cultivars Based on Re-Sequencing

Yang

et al. 2021

Plants

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Vegetable soybean is a type of value-added specialty soybean, served as a fresh vegetable or snack in China. Due to the difference from other types, it is important to understand the genetic structure and diversity of vegetable soybean for further utilization in breeding programs. The four vegetable cultivars, Taiwan-75, Zhexiandou No. 8, Zhexian No. 9 and Zhexian No. 10 are popular soybean varieties planted in Zhejiang province, and have large pods and intermediate maturity. The clustering showed a close relationship of these four cultivars in simple sequence repeat analysis. To reveal the genome variation of vegetable soybean, these four improved lines were analyzed by whole-genome re-sequencing. The average sequencing depth was 7X and the coverage ratio of each cultivar was at least more than 94%. Compared with the reference genome, a large number of single-nucleotide polymorphisms, insertion/deletions and structure variations were identified with different chromosome distributions. The average heterozygosity rate of the single-nucleotide polymorphisms was 11.99% of these four cultivars. According to the enrichment analysis, there were 23,371 genes identified with putative modifications, and a total of 282 genes were related to carbohydrate metabolic processes. These results provide useful information for genetic research and future breeding, which can facilitate the selection procedures in vegetable soybean breeding.

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“…The mean, range, and standard deviation for each character have been calculated and analysis of variance for each of the characters was performed, and mean values were separated by DMRT. The mean square (MS) at error and phenotypic variances were estimated as per [24]. The error MS was considered as error variance ( 2 e ), Genotypic variances ( 2 g ) were derived by subtracting error MS from the variety MS and dividing by the number of replications as shown below:…”

Section: Univariate Analysismentioning

confidence: 99%

“…The expected genetic advance for different characters under selection was estimated using the formula 6 suggested by Silpashree et al [24].…”

Section: Estimation Of Genetic Advancementioning

confidence: 99%

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

Tasnim

Poly

Jahan

et al. 2022

J. Multidiscip. Appl. Nat. Sci.

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An experiment was undertaken to elucidate the genetic relationship between different quantitative traits for commercial cultivation and to evaluate selection criteria in pea breeding programs in five inbred parents. Their 17 F4’s derivatives in pea (Pisum sativum L.) evaluated ten characters during the winter season (November to February) of 2017-18 at the research farm, BSMRAU, Gazipur, Bangladesh. Analysis of variance explored significant differences among the genotypes for all the characters. Phenotypic coefficients of variation (PCV) were close to genotypic coefficients of variation (GCV) for all the characters indicating less influence on the environment and potentiality of selection. A high heritability relationship with high genetic advance was observed for plant height, pod per plant, hundred seed weight, and seed yield per plot. Pod length showed a highly significant positive correlation with pod width and hundred seeds weight. Only days to first flowering showed a highly negative correlation with pod length and hundred seed weight. Path coefficient analysis revealed that plant height, pod per plant, and seeds per pod had a highly positive effect on yield per plant. Therefore, associating and selecting those traits, yield improvement must be possible in pea, and the days to maturity, plant height, pods per plant, pod length, and seed showed a considerable positive and highly significant correlation with plant height, pod per plant, seed per pod, and yield per plant at both genotypic and phenotypic levels indicating yield could be increased with the increase of days to maturity, plant height, pods per plant, pod length, and seed.

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Morphological Characterization, Variability and Diversity among Vegetable Soybean (Glycine max L.) Genotypes

Cited by 30 publications

References 18 publications

Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach

Genome-Wide Variation Analysis of Four Vegetable Soybean Cultivars Based on Re-Sequencing

Relationship of Quantitative Traits in Different Morphological Characters of Pea (Pisum Sativum L.)

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