Induced Genetic Variability and Scope of Selection for Yield Attributes in Greengram (Vigna radiata L. Wilczek)

Background: Green gram [Vigna radiata (L.) Wilczek] is an ancient and well known pulse crop of Asian countries. Specific traits should be considered for high yield in green gram as selection criteria in future breeding program.Methods: The investigation material comprised of 128 F6 RIL (Recombinant Inbred LINE) population sown at college farm, Professor Jayashankar Telangana State Agricultural University during Rabi-2019-20. The yield and yield attributes were recorded to conduct genetic variability, heritability broad sense (h2), genetic advance (GA) and genetic advance as % of mean (GAM).Result: Analysis of variance revealed significant differences among the RILs, indicating the presence of genetic variability for almost all the traits studied. High PCV and GCV estimates was noticed for number of pods per plant, seed yield per plant, number of cluster per plant and number of pods per cluster. High heritability along with high genetic advance as per cent of mean was observed for number of pods per plant, seed yield per plant, number of cluster per plant, number of pods per cluster, number of branches per plant, number of seeds per pod and plant height indicating the role of additive genes in governing the inheritance of these traits and could be improved through selection. The traits viz. seed yield per plant, number of pods per plant, number of clusters per plant and number of pods per cluster had recorded high PCV, GCV, high heritability along with high genetic advance as per cent of mean indicated these traits were less influenced by environment and possess high genetic variability. Hence these RILs would be suitable for green gram breeding programmes to develop improved varieties. The present findings of the RIL population will be useful for development of high seed yielding variety in green gram.

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Genetic variability in segregating generations of greengram (Vigna radiata L.Wilczek) for quantitative traits.

Electronic Journal of Plant Breeding ◽

10.5958/0975-928x.2019.00036.x ◽

2019 ◽

Vol 10 (1) ◽

pp. 293

Author(s):

I. Mariyammal ◽

M. Pandiyan ◽

C. Vanniarajan ◽

J. S. Kennedy ◽

N. Senthil

Keyword(s):

Genetic Variability ◽

Vigna Radiata ◽

Quantitative Traits

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Yield and yield attributes of Mungbean (Vigna radiata L.) cultivars as affected by phosphorous levels under different tillage systems

Cogent Food & Agriculture ◽

10.1080/23311932.2016.1151982 ◽

2016 ◽

Vol 2 (1) ◽

Cited By ~ 3

Author(s):

Imran ◽

Asad Ali Khan ◽

Inamullah Inam ◽

Fayaz Ahmad

Keyword(s):

Vigna Radiata ◽

Tillage Systems ◽

Yield Attributes

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The relationship between greasy fleece weight and clean fleece weight in the South Australian Merino

Australian Journal of Experimental Agriculture ◽

10.1071/ea9610034 ◽

1961 ◽

Vol 1 (1) ◽

pp. 34

Author(s):

GH Ford

Keyword(s):

Genetic Variability ◽

Covariance Analysis ◽

The South ◽

Weight Relationship ◽

Different Seasons ◽

Sire Group ◽

Selection For ◽

Fleece Weight ◽

The Relationship ◽

Australian Merino

The correlation between clean fleece weight and greasy fleece weight in South Australian strain Merino hoggets of both sexes in three widely different seasons was found to be Rams, 0.841, 0.890, 0.701 and Ewes, 0.846, 0.850 and 0.839. A covariance analysis of clean and greasy fleece weights showed no significant differences between slopes of individual sires, but significant differences between sire group means, indicating genetic variability for these two traits. It is concluded that the correlations are high enough to make selection for clean fleece weight by partial culling on the basis of greasy fleece weight, followed by scouring of midside samples of the fleece from the top sheep for greasy fleece weight, as advocated by Beattie (1956), practicable. The use of the clean fleece weight, greasy fleece weight relationship will rarely be sufficient on its own to formulate a selection plan. The conditions for the use of other aids to estimate clean fleece weight, such as the Neale squeeze machine, are discussed.

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Genetic Variability, Correlation and Path Analysis in Mungbean (Vigna radiata L)

Journal of Environmental Science and Natural Resources ◽

10.3329/jesnr.v7i1.22161 ◽

2015 ◽

Vol 7 (1) ◽

Author(s):

KM Muzibul Alom ◽

MH Rashid ◽

M Biswas

Keyword(s):

Genetic Variability ◽

Path Analysis ◽

Vigna Radiata ◽

Correlation And Path Analysis

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Quantitative and molecular genetic variation in sympatric populations of Medicago laciniata and M. truncatula (Fabaceae): relationships with eco-geographical factors

Genetics Research ◽

10.1017/s0016672307008725 ◽

2007 ◽

Vol 89 (2) ◽

pp. 107-122 ◽

Cited By ~ 24

Author(s):

MOUNAWER BADRI ◽

HOUCINE ILAHI ◽

THIERRY HUGUET ◽

MOHAMED ELARBI AOUANI

Keyword(s):

Genetic Variation ◽

Genetic Variability ◽

Local Adaptation ◽

Quantitative Traits ◽

Gene Diversity ◽

Sympatric Populations ◽

Widespread Species ◽

Geographical Factors ◽

Significant Difference ◽

Selection For

SummaryMedicago laciniata is restricted to south of the Mediterranean basin and it extends in Tunisia from the inferior semi-arid to Saharan stages, whereas M. truncatula is a widespread species in such areas. The genetic variability in four Tunisian sympatric populations of M. laciniata and M. truncatula was analysed using 19 quantitative traits and 20 microsatellites. We investigated the amplification transferability of 52 microsatellites developed in M. truncatula to M. laciniata. Results indicate that about 78·85% of used markers are valuable genetic markers for M. laciniata. M. laciniata displayed significantly lower quantitative differentiation among populations (QST=0·12) than did M. truncatula (QST=0·45). However, high molecular differentiations, with no significant difference, were observed in M. laciniata (FST=0·48) and M. truncatula (FST=0·47). Several quantitative traits exhibited significantly smaller QST than FST for M. laciniata, consistent with constraining selection. For M. truncatula, the majority of traits displayed no statistical difference in the level of QST and FST. Furthermore, these traits are significantly associated with eco-geographical factors, consistent with selection for local adaptation rather than genetic drift. In both species, there was no significant correlation between genetic variation at quantitative traits and molecular markers. The site-of-origin explains about 5·85% and 11·27% of total quantitative genetic variability among populations of M. laciniata and M. truncatula, respectively. Established correlations between quantitative traits and eco-geographical factors were generally more moderate for M. laciniata than for M. truncatula, suggesting that the two species exhibit different genetic bases of local adaptation to varying environmental conditions. Nevertheless, no consistent patterns of associations were found between gene diversity (He) and environmental factors in either species.

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