<div style="text-align: justify;">This work aimed at exploring the genetic variability, population structure and relationships of Lathyrus sativus L. germplasm using isozyme analysis. The data of isozyme analysis revealed 12 putative polymorphic loci of a total 33 alleles, indicating that studied accessions express good allelic richness and had an apparent rate of allogamy. The mean average of the expected heterozygosity (0.483) was more than the mean average of the observed heterozygosity (0.449) suggesting an apparent rate of allogamy taking place in Lathyrus sativus L. The average of total heterozygosity (HT) and intra-accessional genetic diversity (HS) were 0.559 and 0.428 respectively indicating that majority of genetic diversity was intra-accessional. The low levels and non-significant of genetic diversity among accessions (DST = 0.190, X2 = 62.59, p = 0.029) were probably indicative of occurrence of several gene flows. The coefficient of gene differentiation (GST) showed significant variation, suggesting the heterogonous distribution of L. sativus accessions among different geographic regions. The mean average of FST was 0.327, suggesting the occurrence of random mating system for the studied accessions and reflecting adaptation to strong environmental dissimilarities. Cluster analysis based on isozyme data suggested that the environment had no influence on the genetic diversity and confirmed that Lathyrus sativus L. had a polyphyletic origin.&nbsp;</div>

Isozyme analysis of genetic variability and population structure of Lathyrus sativus L. germplasm

<div>Background: Livestock&nbsp;genetic diversity studies focus on their within and diversity, breed history, adaptive variations, ancestral information, site of domestication and parentage testing and assess the genetic uniformity, admixture or subdivision, inbreeding, or introgression in the population which is helpful in breed formation and their sustainable utilization. 
&nbsp;</div>

<div style="text-align:justify">Methods: The present research work was conducted during the year 2016-17 at National Bureau of Animal Genetics Resources, Karnal-132001. STR data of 25 markers on 1237 random samples of 27 goat populations was used for analysis. The genetic diversity analysis of new population &nbsp;viz: Narayanpatna, Raighar, Kalahandi, Malkangiri of Odisha state and Rohilkhandi (UK) and their association studies with other Indian goat breeds was performed. 
 
Result: It was found that used markers are highly polymorphic- and the studied breeds/population showed great diversity and distributed mostly on the basis of physio-geographical condition and type of production but among new populations diversity was least which might be due to exchange of animal for breeding purposes. The studied new goat populations were well differentiated from other goat breeds which might be due to physio-geographical condition and breeding practices, so these may be considered as separate breeds/populations. In conclusion, the results showed high level of conserved genetic diversity in the Indian goat breeds. The smaller and isolated new population showed less diversity and a higher inbreeding level as compared to registered breeds.</div>

<div>Genetic Diversity Analysis among 27 Indian Goat Populations using Microsatellite Markers</div>

Background: Blackgram is an important pulse crop grown in India. The creation of new variability through hybridization or mutation breeding will produce novel segregants for important yield attributing traits. The selection from the population will be effective if the traits have good genetic variability estimates. 
 
Methods: The present investigation was conducted on analysing genetic variability parameters in F2 populations of the blackgram crosses CO 5 &times; VBN 9 and CO 6 &times; VBN 11 which were evaluated during rabi, 2022. 
 
Results: Based on the coefficient of variations, it was found that sufficient amount of genetic variability and high to moderate heritability with high genetic advance were present in the populations for the traits viz., plant height, number of branches per plant, number of clusters per plant, number of pods per cluster, number of pods per plant and seed yield per plant indicates the presence of additive gene action which can be improved by simple selection in the earlier generations. The positive skewness was observed for the traits viz., number of branches per plant, number of pods per cluster, number of pods per plant, hundred seed weight and seed yield per plant in F2 population of CO 5 &times; VBN 9 and number of clusters per plant, number of pods per cluster, number of pods per plant and seed yield per plant in the F2 population of CO 6 &times; VBN 11. The above traits could be improved by intensive selection for rapid improvement. The leptokurtic nature of the distribution for the trait hundred seed weight in CO 5 &times; VBN 9 population and the traits viz., number of clusters per plant, number of pods per plant, pod length, number of seeds per pod and seed yield per plant in CO 6 &times; VBN 11 population indicates these traits are controlled by few minor genes. Hence, the good segregants could be selected from these two populations for yield improvement.

Genetic Analysis of F2 Populations for Quantitative Traits in Blackgram [Vigna mungo (L.) Hepper]

Background: Groundnut (Arachis hypogaea L.) is an important commercial crop augmenting protein and oil industry. Breeding for improved peanut crop with higher oleic acid content through induced mutagenesis could the best cooking oil in terms of health benefits. Further, the knowledge of the variability parameters and frequency distribution of desired traits could benefit plant breeders while developing selection criteria to maximising the genetic gain. 
 
Methods: The present study aimed to determine the mean lethal dose (LD 50) of gamma irradiation on groundnut TMV (Gn) 13) to create the genetic variability and to screen the putative mutants with allele specific primers based on phenotypic and agronomic traits.&nbsp; 
 
Result: Five traits viz., plant height, number of pods per plant, pod length, pod width and pod yield per plant had expressed significantly higher heritability coupled with high Genetic advance per cent of Mean substantiating the role of additive gene action. Also, the frequency distribution pointed out the positively skewed traits in both the populations. Further, molecular validation through AS-PCR assay revealed the presence of ahFAD2A mutant allele in 4 out of 155 putative mutants. As a result, these mutants have 43-45% oleic acid than the control TMV (Gn) 13, which has 35-39%.

Genetic Variability Analysis of Gamma Irradiated M2 Populations for Higher Oleic Acid Content in TMV (Gn) 13 (Arachis hypogaea L.)

<div>Background: Dolichos bean occupies a unique position among the legume vegetables of Indian origin for its high nutritive value and wider climatic adaptability. Despite its wide genetic diversity, no much effort has been undertaken towards genetic improvement of this vegetable crop. Knowledge on genetic variability is an essential pre-requisite as hybrid between two diverse parental lines generates broad spectrum of variability in segregating population. The current study aims to assess the genetic diversity in dolichos genotypes to make an effective selection for yield improvement. 
 
Methods: Twenty genotypes collected from different regions were evaluated during year 2016-17 and 2017-18. Data on twelve quantitative traits was analysed using principal component analysis and single linkage cluster analysis for estimation of genetic diversity. 
 
Result: Principal component analysis revealed that first five principal components possessed Eigen value &gt; 1, cumulatively contributed &gt; 82.53% of total variability. The characters positively contributing towards PC-I to PC-V may be considered for dolichos improvement programme as they are major traits involved in genetic variation of pod yield. All genotypes were grouped into three clusters showing non parallelism between geographic and genetic diversity. Cluster-I was best for earliness and number of cluster/plant. Cluster-II for vine length, per cent fruit set, pod length, pod width, pod weight and number of seed /pod, cluster III for number of pods/cluster and pod yield /plant. Selection of parent genotypes from divergent cluster and component having more than one positive trait of interest for hybridization is likely to give better progenies for development of high yielding varieties in Dolichos bean.</div>

<div>Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis</div>

<div>Background: Although induced mutagenesis can rapidly generate genetic diversity, every genotype responds differently to different mutagen treatments in induceing genetic diversity. This study assesses and compares the genetic diversity of two mutant faba bean populations. 
 
Methods: Two genotypes representing landrace (Hassawi 2) and inbred variety (ILB4347) were exposed to gamma radiation and diethyl sulfate (DES). Two hundred eighty-two samples derived from individual 140 M2 mutant plants of Hassawi 2 and ILB 4347 and two parental lines were characterized using 11 Amplified Fragment Length Polymorphism (AFLP) primer combinations. 
 
Result: 89,820 bands within 2,083 polymorphic alleles were generated from the samples. Genetic diversity comparison of the mutant populations revealed that each genotype had varying responses to different treatments. The two genotypes had a relatively similar response to gamma radiation, while different responses were recorded in DES-derived mutant plants. Based on the Nei&rsquo;s genetic distance, the populations were separated based on the genotypic origin. The population structure analyses showed that the Hassawi 2 and ILB4347 mutant populations were clustered into three and two groups, respectively. The difference in the number of clusters between the two mutant populations explains their breeding history. The present diversity considered as a valuable material used for breeding and conservation purposes.</div>

Genetic Diversity and Population Structure of Two Faba Bean Mutant Populations Based on AFLP Markers

<div style="text-align:justify">Background: Seventy breeding lines of mung bean were evaluated for 20 different characters and mean values were worked for genetic diversity by Mahalanobis D2 statistic. 
 
Methods: The experiments included 70 mung bean breeding lines which were collected from Plant Breeding Unit, Agricultural Research Station, Badnapur. They were grown during Kharif 2016 at experimental research farm Badnapur of Vasantrao Naik Marathwada Krishi Vidyapeeth, Parbhani. The data were recorded for 20 different characters on 10 randomly selected plants. The statistical analysis were done by Mahalanobis D2 statistics. 
 
Result: The results of D2 analysis indicated the presence of considerable genetic divergence among these breeding lines. In the present study, inter-cluster distances were worked out considering 20 characters and these distances ranged from 240.96 (between cluster V and cluster VII) to 1080.72 (between cluster V and cluster VIII). The inter-specific derivatives were grouped into eight clusters. The maximum inter-cluster distance was between cluster V and cluster VIII. The maximum inter-cluster distance was between cluster V and cluster VIII (1080.72), followed by cluster II and cluster III (932.25), cluster IV and cluster VIII (910.11), cluster VII and cluster VIII (738.30), cluster I and cluster VIII (732.61), cluster VI and cluster V (660.49) and cluster II and cluster VI (494.93). This suggested that there is wide genetic diversity between these clusters. Based on these studies, crosses can be made between breeding lines of these clusters to obtain desirable results either in transgressive breeding or in heterosis breeding. Cluster VIII and cluster IV showed high mean values for most of the yield contributing traits like100-seed weight, shelling %, harvest index, pod length, primary branches per plant, days to 50% flowering, days to maturity, leaf width and days to shattering. So the lines from cluster IV and cluster VIII can be used for mung bean yield improvement programme.</div>

<div>Multivariate Analysis using D2 and Principal Component Analysis in Mung bean [Vigna radiata (L.) Wilczek] for Study of Genetic Diversity</div>

Background: Based on D2 analysis 53 chickpea genotypes were grouped into seven clusters. Among the VII clusters, cluster I consists of 30 genotypes forming the largest cluster followed by cluster II with 16 genotypes, cluster VII with three genotypes and cluster III, IV, V and VI with one genotype each. Inter cluster distance were found to higher than intra cluster distance which depicted wide genetic diversity among the chickpea genotypes under study. Contribution of various characters towards expression of total genetic divergence indicated that seed yield (27.77%) contributed maximum (24.74%) followed by biological yield and number of pods per plant (20.43%). The clustering pattern of genotype demonstrated that clustering does not follow any particular cluster pattern with respect to origin. The pattern of cluster analysis of the first principal component had the largest eigenroot 4.18 per cent of total variation followed by 3.53, 2.91, 2.02, 1.45, 1.26 and 1.15 from second to seven principal components. The eigenroot of first principal component accounted for 19.91 per cent of total variation followed by second to seven principal components which accounted for 16.82, 13.84, 9.62, 6.90, 5.99 and 5.48 per cent of total variations present in the genotypes. 
 
Methods: The study was carried out at Pulses Research Sub-Station (PRSS), Samba and Advanced Center for Rain-fed Agriculture (ACRA), Rakh Dhiansar during Rabi seasons 2017-18 and 2018-19. The experimental material comprising of 48 chickpea (Cicer arietinum L.) genotypes along with 5 checks were evaluated in augmented block design. 
 
Result: The genotypes of cluster II, V and VII had highest inter-cluster distances as well as higher cluster means for most of the yield component traits indicating that these genotypes were most diverse can be used as parents in hybridization programme of chickpea breeding. The variation present in the chickpea genotypes under study can be exploited through selection and hybridization among identified genotypes for breeding high yielding chickpea genotypes.

Genetic Diversity Analysis of Chickpea Genotypes (Cicer arietinum L.) for Seed Yield and Morpho-genetic Traits

<div>Background: Wheat is a cereal crop that is widely farmed across the world and ranks first in global crop production. Wheat cultivation is the world&rsquo;s most important food crop.The assessment of genetic divergence existing in the germplasm collections is very important to select genetically divergent parents for hybridization in a transgressive breeding programme for development of high yielding wheat varieties coupled with quality, multiple resistance and wider adaptability. 
 
Methods: The experiment on 21genotypes including two checks viz., HD 2967 and PBW 824 was conducted to work out the genetic variability, heritability, genetic advance and divergence analysis for yield and yield contributing traits in wheat (Triticum&nbsp; aestivum L.). The experiment was laid out in randomised block design (RBD) during Rabi, 2021-2022 at Lovely Professional University, Phagwara, Punjab. 
 
Result: The analysis of variance revealed mean sum of square due to genotypes were significant for all the characters indicating sufficient genetic variability among the genotypes. The magnitude of PCV and GCV were moderate for grain yield per plant and harvesting index, which suggests greater phenotypic and genotypic variance among the genotypes and responsiveness of the attributes for making further improvement by selection and indicating limited scope for improvement. High heritability coupled with high genetic advance observed for harvest-index thus these characters show additive gene action in their expression. In divergence analysis, maximum intra-cluster distance exhibited by cluster 2 followed by cluster 1among the different genotypes. The maximum inter-cluster distance between cluster 2 and 3 followed by cluster 2 and 7 and the minimum inter cluster distance was recorded between cluster 5 and 6 followed by cluster 1 and 3. It indicated that for crop improvement in wheat diversified genotypes may be selected from cluster 2 and cluster 3 to received maximum transgressive recombinants from segregating generations.&nbsp;</div>

Genetic Variability, Heritability, Genetic Advance and Divergence Analysis in Wheat (Triticum aestivum L.)

<div>Background: Asian soybean rust caused by Phakopsorapachyrhizi Syd. is a major threat for production and expansion of soybean in India. Understanding the nature of inheritance of rust resistance in DSb 21 will help in estimating the number of genes involved in governing the resistance mechanism and thus will be helpful in designing a suitable breeding method. &nbsp; 
 
Methods: Utilizing JS 335 and EC 241778, in a long term breeding programme, a highly rust resistant variety, DSb 21 has been released from University of Agricultural Sciences Dharwad, Karnataka. To study the genetics of rust resistance in DSb 21, F2 and F3 generation of&nbsp;two crosses involving susceptible x resistant (JS 335 x EC 241778) and resistant x susceptible (DSb 21 x JS 335) were used.&nbsp; 
 
Result: The F2 segregation analysis in both the crosses revealed the same segregation ratio of three resistant to one susceptible phenotype based on chi square test indicating rust resistance is controlled by a single dominant gene. In both the crosses the F2 results were confirmed by studying the F3 progenies for reaction to rust.</div>

Isozyme analysis of genetic variability and population structure of Lathyrus sativus L. germplasm

Genetic Diversity Analysis among 27 Indian Goat Populations using Microsatellite Markers

Genetic Analysis of F₂ Populations for Quantitative Traits in Blackgram [Vigna mungo (L.) Hepper]

Genetic Variability Analysis of Gamma Irradiated M₂ Populations for Higher Oleic Acid Content in TMV (Gn) 13 (Arachis hypogaea L.)

Genetic Diversity Assessment in Dolichos Bean (Lablab purpureus L.) Based on Principal Component Analysis and Single Linkage Cluster Analysis

Genetic Diversity and Population Structure of Two Faba Bean Mutant Populations Based on AFLP Markers

Multivariate Analysis using D² and Principal Component Analysis in Mung bean [Vigna radiata (L.) Wilczek] for Study of Genetic Diversity

Genetic Diversity Analysis of Chickpea Genotypes (Cicer arietinum L.) for Seed Yield and Morpho-genetic Traits

Genetic Variability, Heritability, Genetic Advance and Divergence Analysis in Wheat (Triticum aestivum L.)

Genetic Enhancement and Genetic Analysis of Resistance to Asian Soybean Rust in India