Genetic Inconsistency Assessment and Selection Criteria of Bambara groundnut (Vigna subterranea L.Verdc.) Landraces for High Yield Revealed by Qualitative and Quantitative traits

2020 ◽  
Author(s):  
Md Mahmudul Hasan Khan ◽  
Mohd Y. Rafii ◽  
Shairul Izan Ramlee ◽  
Mashitah Jusoh ◽  
Md Al-Mamun
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Agronomic Traits ◽  
Crop Improvement ◽  
Principal Component ◽  
Bambara Groundnut ◽  
High Yield ◽  
Genetic Advance ◽  
Vigna Subterranea

Abstract As a crop for the new millennium Bambara groundnut (Vigna subterranea L. Verdc.) considered as leading legumes in the tropical regions due to its versatile advantages. The main intent of this study was to find out the high yielding potential genotypes and considering these genotypes to develop pure lines for commercial cultivation in Malaysia. Considering the 14 qualitative and 27 quantitative traits of fifteen landraces the variation and genetic parameters namely, variability, heritability, genetic advance, characters association, and cluster matrix were determined. ANOVA revealed significant variation for all the agronomic traits (except plant height). Among the accessions, highly significant differences (P ≤ 0.01) were found for almost all the traits excluding fifty percent flowering date, seed length, seed width. The 16 traits out of the 27 quantitative traits had a coefficient of variation (CV) ≥ 20%. A positive and intermediate to perfect highly significant association (r = 0.23 to 1.00; P < 0.00) was found between yield and its related traits. The trait dry seed weight per plant (g) had the highest GCV = 59.91% and PCV = 59.57% whereas the trait fresh pod weight (99.55%), dry seed weight (98.86%), and yield (98.10%) were highly heritable. The genetic advance recorded the highest for dry seed weight (122.01%) and lowest (3.97%) for plant height. To validate the genetic disparity, an unweighted pair-group produce with arithmetic mean (UPGMA), principal component analysis (PCA), and Hˊ-index was performed considering 27 quantitative traits. The constructed dendrogram showed five distinct groups of accessions. Genotypes G2, G3, and G9 from Group IV consider as promising lines which gave 70.05% higher mean yield compared to grand mean yield (1180 kg ha-1) with desirable traits. Group II had a maximum number of accessions while group III and group V had one of each. However, findings declared that the availability of genetic variance will be beneficial for this crop improvement and plant breeders to prefer desirable traits in V. subterranea L. Verdc. for further breeding purposes.

scholarly journals Genetic analysis and selection of Bambara groundnut (Vigna subterranea [L.] Verdc.) landraces for high yield revealed by qualitative and quantitative traits

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md Mahmudul Hasan Khan ◽  
Mohd Y. Rafii ◽  
Shairul Izan Ramlee ◽  
Mashitah Jusoh ◽  
Md Al Mamun
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Agronomic Traits ◽  
Crop Improvement ◽  
Principal Component ◽  
Bambara Groundnut ◽  
High Yield ◽  
Genetic Advance ◽  
Vigna Subterranea

AbstractAs a crop for the new millennium Bambara groundnut (Vigna subterranea [L.] Verdc.) considered as leading legumes in the tropical regions due to its versatile advantages. The main intent of this study was to find out the high yielding potential genotypes and considering these genotypes to develop pure lines for commercial cultivation in Malaysia. Considering the 14 qualitative and 27 quantitative traits of fifteen landraces the variation and genetic parameters namely, variability, heritability, genetic advance, characters association, and cluster matrix were determined. ANOVA revealed significant variation for all the agronomic traits (except plant height). Among the accessions, highly significant differences (P ≤ 0.01) were found for almost all the traits excluding fifty percent flowering date, seed length, seed width. The 16 traits out of the 27 quantitative traits had a coefficient of variation (CV) ≥ 20%. A positive and intermediate to perfect highly significant association (r = 0.23 to 1.00; P < 0.00) was found between yield and its related traits. The trait dry seed weight per plant (g) had the highest GCV = 59.91% and PCV = 59.57% whereas the trait fresh pod weight (99.55%), dry seed weight (98.86%), and yield (98.10%) were highly heritable. The genetic advance recorded the highest for dry seed weight (122.01%) and lowest (3.97%) for plant height. To validate the genetic disparity, an unweighted pair-group produce with arithmetic mean (UPGMA), principal component analysis (PCA), heatmap, and H’-index was performed considering 27 quantitative traits. The constructed dendrogram showed five distinct groups of accessions. Genotypes G2, G3, and G9 from Group IV consider as promising lines which gave 70.05% higher mean yield compared to grand mean yield (1180 kg ha−1) with desirable traits. Group II had a maximum number of accessions while group III and group V had one of each. However, findings declared that the availability of genetic variance will be beneficial for this crop improvement through cross breeding as well as the plant breeders to prefer desirable traits in V. subterranea L. Verdc. for further breeding purposes.

scholarly journals Genetic evaluation and characterization of jute (Corchorus spp. L) genotypes using DUS

2014 ◽  
Vol 10 (2) ◽  
pp. 147-153 ◽  
Author(s):  
A Das ◽  
D Kumar
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Genetic Advance ◽  
High Heritability ◽  
Qualitative Characters ◽  
Fibre Fineness ◽  
Almost All ◽  
Varietal Characterization

In this study 32 jute (Corchorus spp.) varieties comprised of 18 olitorius and 14 capsularis were evaluated and characterized for five quantitative and 12 qualitative characters as per revised official DUS Test Guidelines of Jute. The experimental materials were grown in a RBD with three replications at Baarrackpore, India during 2009-10. Significant differences among genotypes noted almost for almost all the quantitative traits. PCV and GCV were highest for 1000 seed weight (33.78 and 33.29%) followed by fibre fineness (27.11 and 26.70%). Low variability was recorded in case of plant height. All the five characters exhibited more or less high heritability coupled with high genetic advance as per cent over mean. Out of 12 qualitative characters studied, in C. capsularis 8 traits were monomorphic, 4 traits were dimorphic. However, in C. olitorius no trait was monomorphic, 6 traits were dimorphic and 6 traits were polymorphic among varieties indicating their potential for varietal characterization. DOI: http://dx.doi.org/10.3329/sja.v10i2.18335 SAARC J. Agri., 10(2): 147-153 (2012)

scholarly journals Genetic variability in morpho-agronomic traits of various accessions of Vigna subterranea (L.) Verdc.

2020 ◽  
Vol 116 (1) ◽  
pp. 69
Author(s):  
Maruf Olaide YEKEEN ◽  
Hafsoh Olajumoke SHAIB-RAHIM ◽  
Joy OLABODE
Keyword(s):  
Agronomic Traits ◽  
Crop Improvement ◽  
Morphological Characteristics ◽  
Principal Component ◽  
Qualitative Evaluation ◽  
Breeding Strategy ◽  
Vigna Subterranea ◽  
Agronomic Characteristics ◽  
Principal Axes ◽  
Number Of Leaves

<p><em>Vigna subterranea </em>is an indigenous African legume widely cultivated across the continent. It is a highly diverse crop exhibiting diversity in morpho-agronomic characteristics. This genetic diversity is also crucial for crop improvement as it determines which breeding strategy/ methodology to utilize in its improvement. The study evaluated the diversity in morpho-agronomic characteristics of different accessions of Bambara groundnut. ‘TVSu596’ exhibited the highest germination percentage (100 %) and shortest days to 50 % flowering (40 days) while ‘TVSu11’ had the highest number of leaves (146). Qualitative evaluation revealed the diversity existing in their morphological characteristics. Elemental analysis showed the accessions are rich in mineral elements and exhibit diversity. Principal component analysis revealed 83.37 % of total variations in morphological and yield traits by the first three principal axes. Traits such as number of leaves, petiole length, and days to 50 % flowering furnish most of the variations. Cluster analysis revealed the accessions clustered into 4 groups. These accessions are therefore recommended for utilization in development of improved cultivars or early-maturing varieties<em>.</em></p><p><em><br /></em></p>

scholarly journals Genetic divergence of Nigerian and Indian pearl millet accessions based on agronomical and morphological traits

2017 ◽  
Vol 62 (2) ◽  
pp. 115-131
Author(s):  
David Animasaun ◽  
Joseph Morakinyo ◽  
Rama Krishnamurthy ◽  
Oba Mustapha
Keyword(s):  
Plant Height ◽  
Pearl Millet ◽  
Morphological Traits ◽  
Genetic Relatedness ◽  
Agronomic Traits ◽  
Crop Improvement ◽  
Principal Component ◽  
Leaf Length ◽  
Leaf Width ◽  
Number Of Leaves

The study assessed the genetic diversity of pearl millet accessions grown in Nigeria and India based on morpho-agronomic traits in order to identify genotypes with superior characters which could be utilized in breeding programmes. Twenty-four pearl millet accessions were grown and evaluated for agronomic and morphological traits during the dry and wet seasons of 2015-2016. Data collected on the accessions using standard descriptors were analysed statistically. IP22281 had the highest mean plant height (108.90 cm) while NGB00531 recorded the lowest (61.02 cm). Significant intra-specific variation existed in number of leaves per plant, leaf length, leaf width, number of nodes and internode length, however, stem girth was similar for the accessions. Tillering was generally poor with the highest value (1.60 tillers per plant) found in NGB00531. A significant positive correlation occurred between plant height, number of leaves, leaf length and leaf width. Panicles emerged between 44 and 56 days and NGB00548 had the shortest maturity time. Also, panicle length and peduncle diameter varied significantly for the accessions. The highest grain yield and 1000-grain weight were recorded in NGB00616 and the lowest yield and weight were recorded in IP22269. The principal component analysis grouped the accessions into four clusters, comprising mixtures of Nigerian and Indian members. Similarly, the dendrogram grouped the accessions into two main groups which were sub-divided into smaller clusters with accessions from Nigeria and India in the same cluster. The study concludes that variations in morpho-agronomic and yield characters among the accessions studied could be harnessed for crop improvement. The clustering pattern of these accessions indicated their genetic relatedness, possibly from the same progenitor, but separation by geographical or ecological isolation mechanisms.

scholarly journals DNA fingerprinting, fixation-index (Fst), and admixture mapping of selected Bambara groundnut (Vigna subterranea [L.] Verdc.) accessions using ISSR markers system

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Md Mahmudul Hasan Khan ◽  
Mohd Y. Rafii ◽  
Shairul Izan Ramlee ◽  
Mashitah Jusoh ◽  
Md Al Mamun ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Environmental Sustainability ◽  
Crop Improvement ◽  
Principal Component ◽  
Issr Markers ◽  
Bambara Groundnut ◽  
Fixation Index ◽  
Vigna Subterranea ◽  
Information Index ◽  
Issr Primers

AbstractAs a new crop in Malaysia, forty-four Bambara groundnut (Vigna subterranea L. verdc.) genotypes were sampled from eleven distinct populations of different origins to explore the genetic structure, genetic inconsistency, and fixation index. The Bambara groundnut, an African underutilized legume, has the capacity to boost food and nutrition security while simultaneously addressing environmental sustainability, food availability, and economic inequalities. A set of 32 ISSRs were screened out of 96 primers based on very sharp, clear, and reproducible bands which detected a total of 510 loci with an average of 97.64% polymorphism. The average calculated value of PIC = 0.243, RP = 5.30, H = 0.285, and MI = 0.675 representing the efficiency of primer set for genetic differentiation among the genotypes. The ISSR primers revealed the number of alleles (Na = 1.97), the effective number of alleles (Ne = 1.38), Nei's genetic diversity (h = 0.248), and a moderate level of gene flow (Nm = 2.26) across the genotypes studied. The estimated Shannon’s information index (I = 0.395) indicates a high level of genetic variation exists among the accessions. Based on Nei’s genetic dissimilarity a UPMGA phylogenetic tree was constructed and grouped the entire genotypes into 3 major clusters and 6 subclusters. PCA analysis revealed that first principal component extracted maximum variation (PC1 = 13.92%) than second principal component (PC2 = 12.59%). Bayesian model-based STRUCTURE analysis assembled the genotypes into 3 (best ΔK = 3) genetic groups. The fixation-index (Fst) analysis narrated a very great genetic diversity (Fst = 0.19 to 0.40) exists within the accessions of these 3 clusters. This investigation specifies the effectiveness of the ISSR primers system for the molecular portrayal of V. subterranea genotypes that could be used for genetic diversity valuation, detection, and tagging of potential genotypes with quick, precise, and authentic measures for this crop improvement through effective breeding schemes.

scholarly journals Estimation Variability, Heritability and Genetic Advance of Mutant Black Rice (M6)

2019 ◽  
Vol 34 (2) ◽  
pp. 170 ◽  
Author(s):  
Ahmad Sofian ◽  
Nandariyah Nandariyah ◽  
Djati Waluyo Djoar ◽  
Sutarno Sutarno
Keyword(s):  
Plant Height ◽  
Seed Weight ◽  
Selection Criteria ◽  
Crop Improvement ◽  
Anthocyanin Content ◽  
Genetic Advance ◽  
Black Rice ◽  
Total Anthocyanin ◽  
Sixth Generation ◽  
Significant Difference

A better understanding of variability in plant populations is crucial for crop improvement which plant breeders can use through selection. This study aimed to determine selection criteria for the sixth generation of black rice through genetic variability, heritability value and genetic advance. This research was conducted from March to July 2018 at Pakahan Village, Jogonalan Sub-district, Klaten Regency, Central Java, using a Randomized Complete Block Design (RCBD). The variables observed were plant height, total number of tillers and productive tillers, panicle length, number of seeds per panicle, panicle intensity index, weight per panicle, 1,000 seed weight, seed weight per plant, flowering age, harvest age, plot yield, yield per hectare, rice color and total anthocyanin content. Variance analysis showed that there was a very significant difference (p &lt;0.01) among the genotypes tested for all observed characters indicating variability. In this study, the phenotypic coefficient of variance (PCV) values was relatively higher than the genotypic coefficient of variance (GCV) for all traits. However, GCV values were close to PCV values in some characters such as plant height, flowering age, harvest age, rice color and anthocyanin content which showed a high contribution of genotypic effects to the phenotypic expression of these characters. The high heritability and high average value of genetic advance were indicated in the parameters of plant height, flowering age, harvest age, rice color and anthocyanin content. The characters of plant height, flowering age, harvest age, rice color and anthocyanin content can be used as sixth-generation black rice selection criteria.

scholarly journals Genetic Variability, Heritability, and Clustering Pattern Exploration of Bambara Groundnut (Vigna subterranea L. Verdc) Accessions for the Perfection of Yield and Yield-Related Traits

2020 ◽  
Vol 2020 ◽  
pp. 1-31
Author(s):  
Md Mahmudul Hasan Khan ◽  
Mohd Y. Rafii ◽  
Shairul Izan Ramlee ◽  
Mashitah Jusoh ◽  
Al Mamun
Keyword(s):  
Genetic Variability ◽  
Research Work ◽  
Principal Component ◽  
Bambara Groundnut ◽  
Direct Selection ◽  
Genetic Advance ◽  
Vigna Subterranea ◽  
Pair Group ◽  
Upgma Cluster Analysis ◽  
Clustering Pattern

Bambara groundnut (Vigna subterranea L. Verdc.) is considered an emerging crop for the future and known as a crop for the new millennium. The core intention of this research work was to estimate the variation of landraces of Bambara groundnut considering their 14 qualitative and 27 numerical traits, to discover the best genotype fitted in Malaysia. The findings of the ANOVA observed a highly significant variation ( p ≤ 0.01 ) for all the traits evaluated. There was a substantial variation (7.27 to 41.21%) coefficient value, and 14 out of the 27 numerical traits noted coefficient   of   variation   CV ≥ 20 % . Yield (kg/ha) disclosed positively strong to perfect high significant correlation ( r = 0.75 to 1.00; p ≤ 0.001 ) with traits like fresh pod weight, dry pod weight, and dry seed weight. The topmost PCV and GCV values were estimated for biomass dry (41.09%) and fresh (40.53%) weight with high heritability (Hb) and genetic advance (GA) Hb = 95.19 %, GA = 80.57 % and Hb = 98.52 %, GA = 82.86 %, respectively. The topmost heritability was recorded for fresh pod weight (99.89%) followed by yield (99.75%) with genetic advance 67.95% and 62.03%, respectively. The traits with Hb ≥ 60 % and G A ≥ 20 % suggested the least influenced by the environment as well as governed by the additive genes and direct selection for improvement of such traits can be beneficial. To estimate the genetic variability among accessions, the valuation of variance components, coefficients of variation, heritability, and genetic advance were calculated. To authenticate the genetic inequality, an unweighted pair group produced with arithmetic mean (UPGMA) and principal component analysis was executed based on their measurable traits that could be a steadfast method for judging the degree of diversity. Based on the UPGMA cluster analysis, constructed five distinct clusters and 44 accessions from clusters II and IV consider an elite type of genotypes that produce more than one ton yield per hectare land with desirable traits. This study exposed an extensive disparity among the landraces and the evidence on genetic relatives will be imperative in using the existing germplasm for Bambara groundnut varietal improvement. Moreover, this finding will be beneficial for breeders to choose the desirable numerical traits of V. subterranea in their future breeding program.

scholarly journals Multivariate Analysis Of Potato Genotypes For Genetic Diversity

2020 ◽  
Author(s):  
Arifa Khan ◽  
Shazia Erum ◽  
Naveeda Riaz ◽  
Muhammad Ibrar Shinwari ◽  
Maryum Ibrar Shinwari
Keyword(s):  
Genetic Diversity ◽  
Leaf Area ◽  
Plant Height ◽  
Quantitative Traits ◽  
Principal Component ◽  
Germination Percentage ◽  
Yield Potential ◽  
High Yield ◽  
Positive Correlation ◽  
Qualitative And Quantitative

Sustainable production of food crops relies on germplasm improvement and genetic diversity that helps to identify appropriate parents, which is very important step in breeding of genotypes having high yield potential for future use. This study was conducted to investigate the extent of genetic diversity using multivariate technique on the basis of qualitative and quantitative traits. An experiment was comprised of 74 exotic genotypes and started at National Agriculture Research Center Islamabad, Pakistan during autumn 2017-2018 and 2018-2019. Data was recorded on qualitative and quantitative traits by following standard procedures and Biplot analysis was used to calculate the significance among the studied quantitative traits to exhibit the strength of relationship between traits. Results showed significant diversity in qualitative traits and quantitative traits. Red, yellowish, brown, light yellow, light brown color tubers were produced. Alike, genotypes produced yellow, cream and white flesh color tubers. Genotypes had oval, round, oblong, elliptic and reform with medium, small and large size tubers. Alike, brown, light brown, dark red and yellow eyes color was noted. In case of quantitative traits, genotypes had high variance regarding plant height, leaf area and number of tubers per lane. Genotypes had very high genetic variance for weight of tuber per plant and weight of tuber per lane while low variance was recorded for germination, number of stem per plant and number of eyes per tuber. Significant positive correlation was observed between number of tubers per plant (TPP) with number of eyes on tubers (r = 0.241) and number of tubers per lane (TPL) (r = 0.349). But negative correlation was noted between number of tubers per plant (TPP) with plant height (r = -246), leaf area (-0.529) and germination (r = -0.283). Plant height was found significantly positive correlated with leaf area (r= 0.456), germination percentage (r = 0.255) and weight of tubers per plant (r = 0.307). Leaf area (LA) showed positive significant correlation with number of tubers per plant (r = 0.466) and weight of tubers per plant (r = 0.263)., yield and harvest index (r = 0.798, 0.755, 0.255). Weight of tubers per lane (WTL) showed positive correlation with weight of tubers per plant (r = 0.387). Regarding the interrelation between the traits and genotypes, the first two principal component axes (PC1, 24.83% and PC2, 23.46%) accounted for about 48.29% of the total variability reflecting the complexity of the variation between the plotted traits of genotypes.

scholarly journals Preliminary study on character associations, phenotypic and genotypic divergence for yield and related quantitative traits among cowpea landraces (Vigna unguiculata) from the Western Highland Region of Cameroon

2018 ◽  
Vol 3 (1) ◽  
pp. 84-97
Author(s):  
Eric Bertrand Kouam ◽  
Toscani Ngompe-Deffo ◽  
Mariette Anoumaa ◽  
Remy Stéphane Pasquet
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Vigna Unguiculata ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Genetic Advance ◽  
Fresh Biomass ◽  
Pod Yield ◽  
Pod Length ◽  
100 Seed Weight

Abstract Cowpea (Vigna unguiculata) is an important tropical legume crop contributing significantly to food security in tropical regions. The present study was carried out to determine the extent of genetic variation, to estimate character associations, heritability and genetic advance of 25 quantitative traits in 30 genotypes of cultivated Vigna unguiculata from the western highland region of Cameroon. These quantitative traits were selected among cowpea descriptor lists. For all these traits, the analysis of variance showed significant difference among genotypes, highlighting the existence of important genetic divergence among the studied accessions. The highest phenotypic and genotypic coefficient of variation was observed in grain yield, pod yield and 100 seed weight. Genetic advance of these three characters was also the highest. Broad sense heritability was high in general, with 20 traits out of 25 having heritability values greater than 70%. This high heritability indicates little influence of the environment on these characters in cowpea. The highest heritability was recorded for 100 seed weight (98.15%) and the lowest for shoot weight (41.38%). At 0.05 probability level, grain yield correlated significantly with 21 out of the 24 other quantitative traits. Among others, grain yield correlated positively and significantly with 100 seed weight, number of pods per plant, number of branches per plant, number of nodes per plant, plant height, plant width, pod length, pod width, seed length, seed width and number of seeds per pod. These positive correlations between grain yield and many other traits indicate that a selection program based on any of these traits will result in increasing yield. Cluster analysis using UPGMA method revealed five distinct clusters. Genotypes named KEBCP025, KEB-CP006, KEB-CP098, KEB-CP070, and more importantly KEB-CP054 and KEB-CP004, were grouped in a single cluster and were characterized by a significantly higher grain yield, pod yield, number of pods per plant, number of seed per pod, plant height, pod length and pod width compared to other clusters. Accessions KEB-CP036 and KEB-CP031 produced significantly more important fresh biomass. These genotypes could be used as parents in genetic improvement programs aiming to increase yield and fresh biomass in cowpea.

scholarly journals Genetic advance and regression analysis in sunflower

Genetika ◽  
2019 ◽  
Vol 51 (3) ◽  
pp. 1075-1087
Author(s):  
Milan Jockovic ◽  
Sinisa Jocic ◽  
Slaven Prodanovic ◽  
Sandra Cvejic ◽  
Jelena Jockovic ◽  
...  
Keyword(s):  
Plant Height ◽  
Seed Yield ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Oil Content ◽  
Yield Potential ◽  
Phenotypic Variance ◽  
Genetic Advance ◽  
Plant Oil ◽  
Head Diameter

The knowledge about the magnitude and nature of variability that is present in a breeding population is an important prerequisite for designing efficient breeding programme in order to improve the yield potential of genotypes. The objective of this research was to evaluate heritability and genetic advance of important quantitative traits in new crosses of sunflower as well as to evaluate ratio of dominant and recessive genes in parental genotypes. The plant material selected for this research consisted of 6 sunflower genotypes, which according to literary data possess important characteristics for the production of sunflower. According to presented results there is significant variability of evaluated quantitative traits. Phenotypic variance was higher than genotypic demonstrating strong environment effect in expression of traits. The broad sense heritability was found very high for plant height (83.25%), high for 1000 seed weight (69.33%), moderate for seed yield/plant (46.53%) and head diameter (56.89%), while low for oil content (29.35%). Genetic advance expressed as a percentage of the mean ranged between 2.23% and 19.96%. Placement of array points displayed that the highest frequency of dominant genes for seed yield/plant, 1000 seed weight and head diameter was found in parental genotype Rodnik. Position of expected line of regression pointed over dominance in inheritance for seed yield/plant, oil content and head diameter, while for 1000 seed weight and plant height additive gene action played role in inheritance suggesting that selection in early generations for these traits will be effective. By testing the coefficients of regression interallelic interaction was not determined.

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