Genetic variability for yield and its component traits in grain and vegetable type soybean

Sonkamble, Priti; Nandanwar, RS; Sakhare, S. B.; Jadhav, P. J.; Varghese, Philips

doi:10.22271/chemi.2020.v8.i6ag.11114

Cited by 3 publications

(5 citation statements)

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“…The current observations resonate with previous studies. Specifically, the findings related to the weight of a hundred seeds have been echoed by researchers like [24,25] and [26]. Similarly, [27] found parallels in grain yield (kg/ha).…”

Section: Heritability and Geneticmentioning

confidence: 87%

Comprehensive Genetic Analysis of Yield and Yield-Related Traits in Soybean Germplasms for Enhanced Crop Improvement

Lodhi,

Kumar,

Chouhan

et al. 2023

IJPSS

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In the context of escalating global food demands, this study provides a comprehensive genetic analysis of soybean (Glycine max (L.) Merrill), focusing on 13 distinct traits that contribute to yield and quality. We investigated four phenological traits marking critical growth phases and nine quantitative traits, utilizing an analysis of variance to highlight the significant genetic influences on these variables. The study reveals that phenotypic and genotypic variances, when measured through the coefficient of variability, present a deeper understanding of soybean variability than variance analysis alone. This is underscored by our findings where phenotypic coefficient of variance (PCV) values consistently exceeded genotypic coefficient of variance (GCV) across all traits, indicating the substantial effect of genotype-environment interactions. The highest GCV was observed in seed yield and biological yield, indicating these traits' potential for genetic improvement. Heritability studies showed days to physiological maturity as the trait with the highest inheritability, suggesting its stability across environmental conditions. Moreover, the significant genetic advance as a percentage of the mean for grain yield and biological yield underscores the potential for considerable gains through selective breeding. By identifying traits governed by additive genes, such as the weight of a hundred seeds and grain yield, our study indicates promising avenues for future soybean breeding programs to enhance these characteristics.

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Section: Heritability and Geneticmentioning

confidence: 87%

Comprehensive Genetic Analysis of Yield and Yield-Related Traits in Soybean Germplasms for Enhanced Crop Improvement

Lodhi,

Kumar,

Chouhan

et al. 2023

IJPSS

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“…Nayana and Fakrudin [14], reported high GCV for number of clusters/plant, 100-seed weight, number of branches/plant, plant height, number of pods/cluster and seed size. Sonkamble et al [19] observed high values of GCV and PCV for 100 seed weight, seed yield and harvest index.…”

Section: Coefficient Of Variationmentioning

confidence: 99%

“…Johanson et al (1955) had pointed out that the heritability estimates along with genetic advance were more useful than heritability estimates alone in predicting the response to selection. The early reports on high genetic advance as a per cent of mean was recorded for days to 50% flowering Rahaman et al [15], Sonkamble et al [19], Koraddi and Basavaraja [24], for plant height (cm) Ningwal et al ( 2023), Rahaman et al [15], Saicharan et al [17], Nayana and Fakrudin [14], Sonkamble et al [19], Koraddi and Basavaraja [24], Prajapati et al [27], for days to maturity Sonkamble et al [19], for number of primary branches per plants Ningwal et al (2023), Rahaman et al [15], Jandong et al [13], Nayana and Fakrudin [14], Sonkamble et al [19], Guleria et al [23], for number of clusters per plants Nayana and Fakrudin [14], for number of pods per clusters Nayana and Fakrudin [14], for number of pods per plants Ningwal et al (2023), Sahoo et al…”

Section: Genetic Advancementioning

confidence: 99%

“…[16], Jandong et al [13], Nayana and Fakrudin [14], Sonkamble et al [19], Guleria et al [23], Koraddi and Basavaraja [24], for plant height (cm) Ningwal et al ( 2023 [19], Guleria et al [23], Koraddi and Basavaraja [24], for pod length (cm) Rahaman et al [15], Nayana and Fakrudin [14], Guleria et al [23] for number of seed per pods Nayana and Fakrudin [14], Sonkamble et al [19], Koraddi and Basavaraja [24], for 100 seed weight (g) Ningwal et al ( 2023…”

Section: Heritabilitymentioning

confidence: 99%

“…[16], Saicharan et al [17], Tandekar et al [25], Koraddi and Basavaraja [24], Dhopre et al [28] for pod length (cm) Nayana and Fakrudin [14], Guleria et al [23], for number of seed per pods Ningwal et al ( 2023), Nayana and Fakrudin [14], Koraddi and Basavaraja [24], for 100 seed weight (g) Ningwal et al (2023), Rahaman et al [15], Nayana and Fakrudin [14], Sonkamble et al [19], Koraddi and Basavaraja [24], for biological yield (gm) Ningwal et al (2023), Tandekar et al [25], Koraddi and Basavaraja [24]…”

Section: Genetic Advancementioning

confidence: 99%

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Understanding the Genetic Architecture of Yield and Associated Traits in Soybean (Glycine max L.): Implications for Crop Improvement

Joshi,

Singh

2023

IJECC

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The experiment consisting of 22 soybean cultivar/varieties were laid out in a Research farm (Genetics and Plant Breeding) AKS University Sherganj, Satna, Madhya Pradesh during Kharif, 2022. The 14 characters were studied viz. days to 50% germination, days to 50% flowering, plant height (cm), days to maturity, number of primary branches per plant, number of clusters per plant, number of pods per clusters, number of pods per plants, pod length (cm), number of seed per pods, 100 seed weight (g), biological yield (gm), harvest index (%) and seed yield per plant (g). The magnitude of GCV ranged from days to 50% flowering (5.989) to the number of clusters per plant (31.701) and the magnitude of PCV ranged from days to 50% flowering (6.782) to number of clusters per plants (31.956). In general, higher estimates (h2b) >80% were observed for all the characters except days to 50% germination, harvest index, seed yield per plant (g) and days to 50% flowering. The heritability value ranged from days to 50% germination (69.9%) to number of clusters per plant (98.4%). The expected genetic advance in percent of mean @ 5% ranged from days to 50% flowering (10.896%) to the number of clusters per plants (64.78%). High estimates of expected genetic advance were found for number of clusters per plants followed by number of pods per plant, pod length (cm), number of primary branches per plants, seed yield per plant (g), biological yield (gm) and number of seed per pods at 5% level. High heritability coupled with high genetic advance as a percent of mean at 5% observed for number of clusters per plant followed by a number of pods per plants, pod length (cm), number of seed /pods and biological yield (gm) indicating that these characters could be prominently governed by additive gene action.

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Genetic variability and relationship of agronomic characters of soybean lines in tidal swamp land

Kuswantoro,

Purwantoro,

Purnomo

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Genetic variability and the relationship between agronomic characters have an important role in the development of high-yielding soybean varieties. The aim of the research was to study the genetic diversity and the closeness of the relationship among the agronomic characters of soybean lines in tidal swamp land. The results showed that broad genetic variability was found in the number of branches and seed yield, while the other characters had narrow genetic variability. Individuals in the family are relatively evenly distributed. Based on the PCA biplot, the contribution of agronomic characters was in the similar direction as seed yield, except for maturity. However, there were no characters that are significantly correlated with seed yield. Significant phenotypic correlations were obtained among the number of filled pods, plant height, the number of branches, and the number of reproductive nodes. Almost all of the high agronomic characters belong to the Dh/Arg progenies. The highest seed yields were obtained by Dw/Arg-7 and Dw/Arg-12, namely 2.49 and 2.41 t/ha, respectively. The lines with high seed yield potential were also shown by the Gjs/Arg and Sh/Arg progenies. Dw/Arg-7 and Dw/Arg-12 can be assessed in plant breeding process to obtain high yielding soybean varieties adaptive to tidal swamp areas.

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Genetic variability for yield and its component traits in grain and vegetable type soybean

Cited by 3 publications

References 0 publications

Comprehensive Genetic Analysis of Yield and Yield-Related Traits in Soybean Germplasms for Enhanced Crop Improvement

Comprehensive Genetic Analysis of Yield and Yield-Related Traits in Soybean Germplasms for Enhanced Crop Improvement

Understanding the Genetic Architecture of Yield and Associated Traits in Soybean (Glycine max L.): Implications for Crop Improvement

Genetic variability and relationship of agronomic characters of soybean lines in tidal swamp land

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