scholarly journals GENETIC DIVERSITY ANALYSIS OF COMMON BEAN (PHASEOLUS VULGARIS L.) COLLECTED FROM NORTH WEST HIMALAYA FOR AGRO-MORPHOLOGICAL TRAITS

2021 ◽  
Vol 21 (no 1) ◽  
Author(s):  
Chainika Gupta ◽  
Romesh Kumar Salgotra ◽  
Manmohan Sharma ◽  
Moni Gupta ◽  
Rohit Sharma ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Coefficient Of Variation ◽  
Crop Improvement ◽  
North West ◽  
Plant Seeds ◽  
West Himalaya ◽  
Wide Range ◽  
Breeding Programmes ◽  
High Heritability ◽  
Bud Initiation

Understanding of genetic diversity among the genotypes is the mainstay of plant breeding. The present study was carried out to determine genetic divergence among 59 common beans genotypes collected from North West Himalaya for nine agromorphological traits. The analysis of variance depicted significant variability among genotypes for all the traits under study indicating wide range of variability present in bean genotypes. The phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) was high for seed yield per plant followed by days to bud initiation. High heritability was also observed for all traits except pod length. Cluster analysis grouped bean genotypes into five distinct clusters. The genotypes under group II, III, V have more number of pods per plant, seeds per pod and single plant yield which can be utilized as potential donors for enhancing the yield of other genotypes in breeding programmes. Hence, the selection based on these yield contributing traits may helpful in future crop improvement programmes

scholarly journals Genetic Variability, Character Association and Path Analysis in Boro Rice (Oryza sativa L.) Germplasm from Bangladesh

2019 ◽  
Vol 22 (1) ◽  
pp. 35-43
Author(s):  
MZ Islam ◽  
T Chakrabarty ◽  
N Akter ◽  
ESMH Rashid ◽  
M Khalequzzaman ◽  
...  
Keyword(s):  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Oryza Sativa L ◽  
Block Design ◽  
Crop Improvement ◽  
Leaf Length ◽  
Component Traits ◽  
High Heritability ◽  
Positive Significant Correlation ◽  
Boro Rice

The success of varietal development programmme largely depends on the nature and magnitude of genetic variability, heritability and characters association of the crop. The objective of the present study was to estimate the extent of genetic variability and relation between yield and related characters of rice. Forty Boro rice germplasm were evaluated in a randomised complete block design with three replications. Analysis of variance indicated significant differences among the genotypes for 14 quantitative characters. The presence of slightly higher phenotypic coefficient of variation than genotypic coefficient of variation indicated the negligible influence of environment on the expression of yield and its component traits. Leaf length, days to flowering, days to maturity and 1000 grain weight showed highly positive significant correlation present with yield hill-1. High heritability had been observed for yield contributing traits during the study, suggested that these traits would respond to selection owing to their high genetic variability and transmissibility. Therefore, a thorough understanding of the inheritance of traits, their heritability and relationship with other important characteristics is important for the choice of breeding and selection methods for crop improvement. Bangladesh Rice j. 2018, 22(1): 35-43

Genetic diversity ofSorghumhalepense(L.) Pers. in Iran as revealed by IRAP markers

2015 ◽  
Vol 14 (2) ◽  
pp. 132-141 ◽  
Author(s):  
Azimeh Karimi ◽  
Hojjatollah Saeidi
Keyword(s):  
Genetic Diversity ◽  
Caspian Sea ◽  
Crop Improvement ◽  
Northern Region ◽  
Western Coast ◽  
Zagros Mountains ◽  
The South ◽  
The West ◽  
North West ◽  
Irap Markers

Sorghum halepensegrows in a vast range of ecological regions of Iran. In this study, inter-retrotransposon amplified polymorphism (IRAP) markers were used to assess the genetic diversity of 38 accessions ofS. halepenseand two accessions ofSorghum bicolor(used as out groups) collected from different regions of Iran. In total, 180 DNA fragments were amplified from eight combinations of IRAP primers, from which 178 (98.9%) were polymorphic. The IRAP-based trees and two-dimensional plot of principal coordinate analysis demonstrated six different groups corresponding to their geographical origin in Iranian germplasm ofS. halepense: (1) in the south-west region; (2) in the west along the Zagros Mountains; (3) in the north-west of the country; (4) in the centre of the country; (5) and (6) in the northern region along the eastern and western coast of Caspian Sea. The most variable populations were found in the centre and the west of Iran. The results showed high gene flow among different regions, although the south-western accessions were well differentiated from those growing in other regions. The accessions collected from western coast of Caspian Sea were differentiated from neighbouring regions in both morphological characters and IRAP data. The measured genetic distances were independent of geographical distances. This survey demonstrates high genetic dynamism in Iranian germplasm ofS. halepenseand indicates that the present germplasm is of great value in terms of sampling for new alleles for crop improvement.

scholarly journals Genetic variability studies for yield and its contributing traits in okra [Abelmoschus esculentus (L.) Moench]

2016 ◽  
Vol 8 (3) ◽  
pp. 1634-1637
Author(s):  
Pravin Kumar Sharma ◽  
D. P. Mishra ◽  
Amit Pandey
Keyword(s):  
Genetic Variability ◽  
Plant Height ◽  
Coefficient Of Variation ◽  
Fruit Weight ◽  
Abelmoschus Esculentus ◽  
Genetic Advance ◽  
Wide Range ◽  
High Heritability ◽  
Range Of Variation ◽  
Genotypic Coefficient Of Variation

The experiment comprising 30 okra (Abelmoschus esculentus) genotypes were grown and analysed for yield and its attributing traits at the Department of Vegetable science, Kumarganj, Faizabad during Zaid (2011) period. All the characters studied showed a wide range of variation. The variability for yield among the accessionsevaluated was also remarkable. The magnitude phenotypic coefficient of variation was higher than genotypic coefficient of variation for all traits. Both phenotypic coefficient of variation (PCV) and genotypic coefficient of variation (GCV) were high for plant height (11.10 and 10.60, respectively). Fruit weight exhibited low value of GCV (2.31) and PCV (4.74) and likely to show less response under selection. High heritability (91.3) with high genetic advance (26.74) was recorded for plant height, whereas, ridges per fruit had high heritability (97.0) with moderate genetic advance (18.45). This study aimed to evaluate okra genotypes for variability with a view to providing information on the development of high yielding genotypes to meet the growing food demand of the populace.

scholarly journals Agromorphological Evaluation of 44 lines of Mung Bean (Vigna radiata (L.) Wilczek) Introduced in Burkina Faso

2021 ◽  
Vol 17 (40) ◽  
pp. 20
Author(s):  
Wend-Pagnagde Félicien Marie Serge Zida ◽  
Teyoure Benoit Joseph Batieno ◽  
Tinga Jeremy Ouedraogo ◽  
Mahamadou Sawadogo
Keyword(s):  
Genetic Diversity ◽  
Burkina Faso ◽  
Coefficient Of Variation ◽  
Vigna Radiata ◽  
Mung Bean ◽  
Coat Color ◽  
Qualitative Traits ◽  
High Heritability ◽  
Important Basis ◽  
Cowpea Variety

Mung bean (Vigna radiata L. Wilczek) is an important annual legume which is well suited to dry areas, like Burkina Faso where it is still an orphan legume. The present study was conducted to evaluate 44 mung bean genotypes introduced in Burkina Faso and to determine genetic diversity in this collection using both quantitative and qualitative traits. A field experiment was conducted in an augmented bloc design with three blocks and an extraearly maturing cowpea variety as check. Data were recorded on six (06) quantitative traits and seven (07) qualitative traits. For qualitative traits, diversity was revealed in four parameters including hypocotyl’s color, seed coat color, pods and stem pubescence. Significant genetic variability was revealed among genotypes for all the quantitative characters. Phenotypic coefficient of variation (PCV) was higher than Genotypic coefficient of variation (GCV) for all characters studied indicating the influence of environmental effect on the characters. The GCV and PCV estimates were high for number of pods per plant followed by plant height and hundred seeds weigh. The high heritability coupled with high genetic advanced as percent of mean observed for these traits suggest an important genetic gain in genetic improvement for these characters. The genetic diversity observed was grouped into five clusters. Mungbean lines were grouped into four clusters and the cowpea variety used as check crop in this trial was clustered apart. This genetic diversity, both qualitatively and quantitatively, will help enrich local biodiversity in terms of legumes in general and mung bean in particular and constitutes an important basis for a future mungbean breeding program.

scholarly journals MORPHO-AGRONOMIC CHARACTERIZATION AND GENETIC DIVERSITY IN PEPPERS (Capsicum spp.)

2021 ◽  
Vol 34 (3) ◽  
pp. 505-513
Author(s):  
MAYARA RODRIGUES E SILVA ◽  
RAIMUNDO NONATO OLIVEIRA SILVA
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Randomized Block Design ◽  
Wide Range ◽  
Significant Difference ◽  
Conservation Of Genetic Resources ◽  
Bell Peppers ◽  
Capsicum Spp ◽  
Breeding Programmes ◽  
Fruit Wall

ABSTRACT Peppers and bell peppers (Capsicum spp.) are vegetables that have wide genetic variability, as well as a wide range of applications. Studies on genetic diversity help to understand the existing variability and the conservation of genetic resources, allowing breeders to select superior genotypes that meet the needs of breeding programmes. This study aimed to evaluate the genetic diversity among 15 Capsicum genotypes based on morpho-agronomic descriptors and through the Ward-MLM (Modified Location Model) procedure, as well as to indicate the most promising genotypes for breeding programmes. The research was conducted in an experimental area using a randomized block design, with three replications, using nine qualitative descriptors and ten quantitative descriptors. Analysis of variance was performed, and means were subsequently grouped by Scott-Knott’s method. There was a significant difference between genotypes for all traits evaluated, making it possible to select promising genotypes. According to the Scott-Knott grouping test, the number of seeds per fruit had the largest number of groups, with eight distinct groups, while plant height had only two groups. The genotypes GEN18 and GEN21 had the highest average values for fruit wall thickness and thus are indicated for the preparation of sauces. The genotypes GEN14 and GEN16 were the most promising for use for ornamental purposes. The Ward-MLM method made it possible to differentiate C. annuum L., C. baccatum L., C. chinense Jacq., and C. frutescens L. into different groups, and is thus a useful tool to detect genetic divergence.

scholarly journals Unlocking Genetic Diversity in Selected Chickpea Genotypes Using Morphological and Molecular Markers

2017 ◽  
Vol 5 (1) ◽  
pp. 50-57
Author(s):  
Rupsanatan Mandal ◽  
Suprakash Pal ◽  
Nonigopal Shit
Keyword(s):  
Genetic Diversity ◽  
Molecular Markers ◽  
Coefficient Of Variation ◽  
Block Design ◽  
Crop Improvement ◽  
Research Work ◽  
Genetic Maps ◽  
Quantitative Character ◽  
Moderate Degree ◽  
Improvement Program

Proficiency and organization of the genetic variability in cultivated and wild relatives are pivotal for a particular crop improvement program. In the present scenario there has been noteworthy improvement in the development of novel genetic tools such as DNA or molecular markers and genetic maps profiling techniques. In this study, seven chickpea (Cicer arietinum L.) genotypes including some cultivars were considered (Collection Id of the seven genotypes are TZCP-1, TZCP-2, TZCP-3, TZCP-4, TZCP-5, TZCP-6 and TZCP-7). The experiment was conducted out in Random Complete Block Design (RCBD) having three replications. All the quantitative characters were collected for assessing the diversity and to find key characters in chickpea cultivars. The statistical analysis was done for all the quantitative character (viz. plant height, number of branches per plant, number of pod per plant, number of seeds per pod, test weight, seed length, seed width, days to 50% flowering, days to 50% maturity and grain yield). Analysis of variance divulged significant differences among the genotypes for all the 10 characters. An extensive range of diversity was displayed by most of the characters under study. The magnitude of phenotypic coefficient of variation (1.23% - 33.71%) in the present study was slightly wider than genotypic coefficient of variation (1.13% - 33.02%) suggesting that environmental factors have high contribution to the observed variation among chickpea accessions. The first four PC axes from the principal component analysis accounted for 91.63% of the multivariate variation among entries indicating a moderate degree of correlation among characters for these entries. The genotypic data generated through RAPD profiling of seven chickpea genotypes were used to study genetic diversity or interrelationship. The pair wise Jaccard’s similarity coefficient ranged from 0.47 (TZCP-3 and TZCP-5) to 0.87 (TZCP-2 and TZCP-4). Finally, this research work helped with the analysis of genetic diversity in chickpea by using different approaches such as morphological and molecular marker system.

Morphological diversity in brinjal (Solanum melongena L.) germplasm accessions

2008 ◽  
Vol 6 (3) ◽  
pp. 232-236 ◽  
Author(s):  
Gunjeet Kumar ◽  
B. L. Meena ◽  
Ranjan Kar ◽  
Shailesh K. Tiwari ◽  
K. K. Gangopadhyay ◽  
...  
Keyword(s):  
Genetic Resources ◽  
Plant Genetic Resources ◽  
Crop Improvement ◽  
Solanum Melongena ◽  
Morphological Diversity ◽  
National Bureau ◽  
Starting Point ◽  
Wide Range ◽  
Breeding Programmes ◽  
Improvement Programme

Brinjal (Solanum melongena L.) is an important solanaceous vegetable in many countries of Asia and Africa. It is a good source of minerals and vitamins in the tropical diets. Assessment of genetic resources is the starting point of any crop improvement programme. In India, the National Bureau of Plant Genetic Resources is the nodal institute for management of germplasm resources of crop plants and holds more than 2500 accessions of brinjal in its genebank. In the present study, morphological diversity in a set of 622 accessions, comprising 543 accessions from indigenous sources and 79 accessions of exotic origin, was assessed. Wide range of variations for 31 descriptors, 13 quantitative and 18 qualitative, were recorded. The wide regional variations for plant, flower and fruit descriptors revealed enough scope for improvement of yield characters by selection. The genetic differences among the landraces are potentially relevant to breeding programmes in that the variability created through hybridization of the contrasting forms could be exploited.

Genetic diversity and variability for protein and micro nutrients in advance breeding lines and chickpea varieties grown in Andhra Pradesh

2018 ◽  
Author(s):  
V. Jayalakshmi ◽  
A. Trivikrama Reddy ◽  
K. V. Nagamadhuri
Keyword(s):  
Genetic Diversity ◽  
Andhra Pradesh ◽  
Nutritional Value ◽  
Nutrient Content ◽  
Genetic Advance ◽  
Breeding Lines ◽  
Breeding Programmes ◽  
High Heritability ◽  
Diversity Studies ◽  
Chickpea Cultivars

An investigation was taken up to study the nutritional value, extent of genetic variability and genetic diversity in advance breeding lines and chickpea varieties grown in Andhra Pradesh, India. Protein and micronutrient content (iron, zinc, copper and manganese) varied significantly among 54 genotypes. Protein content ranged from 9.5% to 24.9% while micro nutrients varied from 2.6 mg/100 g to 14.6 mg/100 g for iron, 3.5 mg/100 g to 7.7 mg/100 g for zinc, 0.5 mg/100 g to 3.2 mg/100 g for copper and 1.6 mg/100 g to 3.4 mg/100 g for manganese. Moderate to high genotypic variability for protein and micro nutrient content with high heritability and genetic advance indicated the scope for enhancement of traits through selection. Genetic diversity studies revealed five different clusters and that high protein lines are grouped in cluster I and lines with higher concentration of micro nutrients are grouped in clusters IV and V. Systematic hybridization between promising lines for protein and micronutrients chosen from these clusters is suggested to study their combining ability and subsequent use in breeding programmes intended to breed for superior chickpea cultivars.

Genetic diversity and population structure of wild soybean (Glycine soja Sieb. and Zucc.) accessions in Korea

2014 ◽  
Vol 12 (S1) ◽  
pp. S45-S48 ◽  
Author(s):  
Kil Hyun Kim ◽  
Seukki Lee ◽  
Min-Jung Seo ◽  
Gi-An Lee ◽  
Kyung-Ho Ma ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Population Structure ◽  
Glycine Soja ◽  
Crop Improvement ◽  
Wild Soybean ◽  
Background Information ◽  
Ssr Loci ◽  
Breeding Programmes ◽  
Western Side ◽  
Cultivated Soybean

Genetic variation in wild soybean (Glycine soja Sieb. and Zucc.) is a valuable resource for crop improvement efforts. Soybean is believed to have originated from China, Korea, and Japan, but little is known about the diversity or evolution of Korean wild soybean. Therefore, in this study, we evaluated the genetic diversity and population structure of 733 G. soja accessions collected in Korea using 21 simple sequence repeat (SSR) markers. The SSR loci produced 539 alleles (25.7 per locus) with a mean genetic diversity of 0.882 in these accessions. Rare alleles, those with a frequency of less than 5%, represented 75% of the total number. This collection was divided into two populations based on the principal coordinate analysis. Accessions from population 1 were distributed throughout the country, whereas most of the accessions from population 2 were distributed on the western side of the Taebaek and Sobaek mountains. The Korean G. soja collection evaluated in this study should provide useful background information for allele mining approach and breeding programmes to introgress alleles into the cultivated soybean (G. max (L). Merr.) from wild soybean.

scholarly journals ​Estimation of Genetic Variability and Genetic Divergence in Dolichos Bean [Lablab purpureus (L.) Sweet.] Genotypes

2021 ◽  
Author(s):  
Udit Kumar ◽  
Pramila . ◽  
K. Prasad ◽  
R.K. Tiwari ◽  
Saipayan Ghosh ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Genetic Variability ◽  
Coefficient Of Variation ◽  
Genetic Divergence ◽  
Mean Value ◽  
Yellow Mosaic Virus ◽  
Lablab Purpureus ◽  
Wide Range ◽  
Cluster Distance ◽  
Maturity Period

Background: Dolichos bean is an important leguminous vegetable having a wide range of variation in different quantitative characters. Assessing genetic diversity among dolichos bean accessions can ensure development of suitable high-yielding and adapted varieties with suitable maturity period. Methods: Fifteen genotypes were evaluated for different characters in Dolichos bean at two locations of Dr. Rajendra Prasad Central Agricultural University viz. Vegetable Research Farm, Pusa and Krishi Vigyan Kendra, Birauli, Samastipur, Bihar during the year 2018-19 and pooled data was analyzed. The genotypes were evaluated for genetic variability and genetic divergence for 14 characters. For the assessment of genetic diversity among the fifteen genotypes of dolichos bean, Mahalanobis (D2) statistic (Mahalanobis, 1936) was used, following the procedure given by Rao, 1952. Grouping of genotypes into clusters was done using Tocher’s method as described by Rao, 1952. Result: Phenotypic Coefficient of Variation (PCV) was slightly higher than Genotypic Coefficient of Variation (GCV) for all the characters indicated that the characters were less influenced by environment. The characters having high heritability and high genetic advance include harvesting duration, number of pods per plant, pod length, pod diameter, individual pod weight, weight of seeds per pod, 100 fresh green seed weight, pod yield and percent incidence of yellow mosaic virus. Therefore, selection for above characters is highly effective. Genetic diversity analysis evaluated that all genotypes could be placed into 6 clusters. Genotypes grouped in Cluster III and I have highest mean value for all characters as well as highest inter-cluster distance.

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