Genetic variability, heritability and correlation path analysis in mungbean (Vigna radiata L.wilczek)

Azam, MG; Hossain, MA; Alam, Mahtab; Rahman, KS; Hossain, Mohammad I.

doi:10.3329/bjar.v43i3.38389

Cited by 12 publications

(12 citation statements)

References 5 publications

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“…The number of seeds per pod had positive and significant correlation with pod length (0.579, 0.696), biological yield per plant (0.381, 0.534) and seed yield per plant (0.327, 0.455) at both phenotypic and genotypic level as per values, respectively and the number of clusters per plant was found significant and positively correlated with the number of pods per plant (0.684, 0.762), biological yield per plant (0.593, 0.623) and seed yield per plant (0.634, 0.651) at both phenotypic and genotypic level as per values, respectively. Similar finding were earlier reported by Azam et al [12], Kumar et al [7] and Muthuswamy et al [9].…”

Section: Correlation Analysissupporting

confidence: 92%

Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits

Nikhil

Lal²,

Lavanya³

et al. 2022

IJPSS

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The current study was designed to estimate correlation coefficients and investigate the direct and indirect effects of various yield contributing traits on seed yield in twenty greengram genotypes. The experiment was carried out during Kharif 2021 in a randomized block design with three replications. Correlation studies among the characters revealed that seed yield per plant has highly positive and significant association with characters like plant height, days to 50% flowering, days to maturity, number of primary branches, number of clusters per plant, number of pods per plant, no. of seeds per pod, pod length, biological yield per plant, harvest index both at phenotypic and genotypic levels, depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that the number of seeds per pod, biological yield per plant, harvest index and seed index had the positive direct effect on seed yield per plant followed by plant height and number of primary branches exhibited the negative direct effect on seed yield per plant in greengram. Their correlation with seed yield was likewise noteworthy and favourable, demonstrating a real and flawless correlation between these features. Therefore, identifying high-yielding genotypes from a population with substantial segregation would be aided by direct selection for these traits.

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Section: Correlation Analysissupporting

confidence: 92%

Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits

Nikhil

Lal²,

Lavanya³

et al. 2022

IJPSS

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“…Therefore, effective selection could be practiced along with modern genomic tools even in the early generations of crops. A large amount of phenotypic variation and correlations among traits observed in the panel of cultivated and wild Vigna accessions in the current study are in agreement with the earlier reports ( Pratap et al, 2017 ; Azam et al, 2018 ; Nair et al, 2019 ; Kumari et al, 2021 ). The variability at the genotypic and phenotypic levels in the present study could be attributed to a large number of accessions belonging to 19 Vigna species which represented different eco-geographical regions of India.…”

Section: Discussionsupporting

confidence: 93%

Association mapping for important agronomic traits in wild and cultivated Vigna species using cross-species and cross-genera simple sequence repeat markers

et al. 2022

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The genus Vigna is an agronomically important taxon, with many of its species inhabiting a wide range of environments and offering numerous useful genes for the improvement of the cultivated types. The present study aimed to detect the genomic regions associated with yield-attributing traits by genome-wide association mapping. A diverse panel of 98 wild and cultivated Vigna accessions (acc.) belonging to 13 different species was evaluated for yield and related traits during the kharif season of 2017 and 2018. The panel was also genotyped using 92 cross-genera and cross-species simple sequence repeat markers to study the population genetic structure and useful market-trait associations. The PCA and trait correlation established relationships amongst the traits during both seasons while 100-seed weight (HSW) had a positive correlation with pod length (PL), and days to first flowering (DFF) with days to maturity (DM). The population genetic structure analysis grouped different acc. into three genetically distinct sub-populations with SP-1 comprising 34 acc., SP-2 (24 acc.), and SP-3 (33 acc.) and one admixture group (7 acc.). Mixed linear model analysis revealed an association of 13 markers, namely, VR018, VR039, VR022, CEDG033, GMES0337, MBSSR008, CEDG220, VM27, CP1225, CP08695, CEDG100, CEDG008, and CEDG096A with nine traits. Seven of the aforementioned markers, namely, VR018 for plant height (PH) and terminal leaflet length (TLL), VR022 for HSW and pod length (PL), CEDG033 for DFF and DM, MBSSR008 for DFF and DM, CP1225 for CC at 30 days (CC30), DFF and DM, CEDG100 for PH and terminal leaflet length (TLL), and CEDG096A for CC30 and chlorophyll content at 45 days were associated with multiple traits. The marker CEDG100, associated with HSW, PH, and TLL, is co-localized in gene-encoding histone–lysine N-methyltransferase ATX5. Similarly, VR22, associated with PL and HSW, is co-located in gene-encoding SHOOT GRAVITROPISM 5 in mungbean. These associations may be highly useful for marker-assisted genetic improvement of mungbean and other related Vigna species.

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“…The biological yield per plant (24.12) and pods per plant (23.69) were assessed with the highest genetic advance. Plant height (17.7) and harvest index (11.7) were moderate, however, 100 seed weight (2.4) had a dramatic decrease similar to the studies of Azam et al, [12].…”

Section: Resultssupporting

confidence: 82%

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

Thakur

Sharma

Pachori

et al. 2022

IJPSS

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The greengram, also known as mungbean or Vigna radiata L. Wilczek, is a significant pulse crop in India. Throughout India, it is mostly cultivated in subsistence agricultural systems. Even though it may be cultivated in three seasons across India, the average production is unbelievably low. The local germplasm has a significant genetic variation since the crop has developed in a wide variety of environmental settings. To comprehend the genetic variability and identification of distinct germplasm lines, a study was conducted on 300 green gram accessions utilising 14 quantitative traits. For pods per plant, pod clusters per plant, branches per plant, biological yield per plant, 100 seed weight, nodes per plant, harvest index, and seeds per pod, relatively high PCV and GCV were found. Additionally, an evaluation of the genetic advance (GA) and broad-sense heritability (h2) was done to select the most significant quantitative variables. Due to their high broad sense heritability (h2) and genetic advance, biological yield per plant, pods per plant, plant height, and harvest index were shown to be highly suited for mungbean breeding programmes. The breeder must typically utilise an appropriate breeding strategy to use these traits in subsequent breeding programmes.

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Genetic variability, heritability and correlation path analysis in mungbean (Vigna radiata L.wilczek)

Cited by 12 publications

References 5 publications

Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits

Study of Correlation and Path Analysis in Greengram [Vigna radiata (L.) Wilczek] for Yield and Yield Attributing Traits

Association mapping for important agronomic traits in wild and cultivated Vigna species using cross-species and cross-genera simple sequence repeat markers

Understanding Genetic Variability Parameters of Greengram (Vigna radiata L. Wilczek) Germplasm for Agro-Morphological Traits

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