scholarly journals Assessing genetic diversity, allelic richness and genetic relationship among races in ICRISAT foxtail millet core collection

2012 ◽  
Vol 10 (3) ◽  
pp. 214-223 ◽  
Author(s):  
M. Vetriventhan ◽  
H. D. Upadhyaya ◽  
C. R. Anandakumar ◽  
S. Senthilvel ◽  
H. K. Parzies ◽  
...  

Foxtail millet (Setaria italica (L.) P. Beauv.) is an ideal crop for changing climate and food habits of peoples due to its short duration, high photosynthetic efficiency, nutritional richness and fair resistance to pest and diseases. However, foxtail millet yields are low mainly due to the lack of effort for its improvement and the lack of proper utilization of existing genetic variability. To enhance the use of diverse germplasm in breeding programmes, a core collection in foxtail millet consisting of 155 accessions was established. Core collection accessions were fingerprinted using 84 markers (81 simple sequence repeats (SSRs) and three Expressed Sequence Tag (EST)-SSRs). Our results showed the presence of greater molecular diversity in the foxtail millet core collection. The 84 markers detected a total of 1356 alleles with an average of 16.14 alleles (4–35) per locus. Of these, 368 were rare alleles, 906 common alleles and 82 the most frequent alleles. Sixty-one unique alleles that were specific to a particular accession and useful for germplasm identification were also detected. In this study, the genetic diversity of foxtail millet was fairly correlated well with racial classification, and the race Indica showed a greater genetic distance from the races Maxima and Moharia. The pairwise estimate of dissimilarity was >0.50 except in 123 out of 11,935 pairs which indicated a greater genetic variability. Two hundred and fifty pairs of genetically most diverse accessions were identified. This large molecular variation observed in the core collection could be utilized effectively by breeders or researchers for the selection of diverse parents for breeding cultivars and the development of mapping populations.

2017 ◽  
Vol 23 (1) ◽  
Author(s):  
R.A. PATIL ◽  
S.G. BHARAD ◽  
S.N. SAWANT

Assessment of genetic diversity in the available germplasm is the prerequisite for development of improved genotypes through planned breeding programmes. In the view of this Forty-eight genotypes of seedling origin guava along with 1 check (L-49/Sardar) collected and conserved at germplasm block, Main Garden, Department of Horticulture, Dr. P. D. A. University, Akola were evaluated for genetic variability and diversity based on the qualitative characteristics. The genotypes were evaluated for sixteen morphological traitsviz. tree, leaf, floral and fruit traits. Results Show considerable extent of variability amongst the 49 genotypes in each traits. A sizeable amount of intrapopulation diversity recorded can be used to identify diverse parents which can be utilized in hybridization programmes.


2010 ◽  
Vol 90 (1) ◽  
pp. 49-60 ◽  
Author(s):  
Z I Talukder ◽  
E Anderson ◽  
P N Miklas ◽  
M W Blair ◽  
J Osorno ◽  
...  

Common bean (Phaseolus vulgaris L.) is an important source of dietary protein and minerals worldwide. Genes conditioning variability for mineral contents are not clearly understood. Our ultimate goal is to identify genes conditioning genetic variation for Zn and Fe content. To establish mapping populations for this objective, we tested mineral content of 29 common bean genotypes. Chemical analyses revealed significant genetic variability for seed Zn and Fe contents among the genotypes. Genetic diversity was evaluated with 49 primer pairs, of which 23 were simple sequence repeats (SSR), 16 were developed from tentative consensus (TC) sequences, and 10 were generated from common bean NBS-LRR gene sequences. The discriminatory ability of molecular markers for identifying allelic variation among genotypes was estimated by polymorphism information content (PIC) and the genetic diversity was measured from genetic similarities between genotypes. Primers developed from NBS-LRR gene sequences were highly polymorphic in both PIC values and number of alleles (0.82 and 5.3), followed by SSRs (0.56 and 3.0), and markers developed from TC (0.39 and 2.0). genetic similarity values between genotypes ranged from 14.0 (JaloEEP558 and DOR364) to 91.4 (MIB152 and MIB465). Cluster analysis clearly discriminated the genotypes into Mesoamerican and Andean gene pools. Common bean genotypes were selected to include in crossing to enhance seed Zn and Fe content based on genetic diversity and seed mineral contents of the genotypes. Key words: Common bean, genetic diversity, mineral nutrients, breeding


2016 ◽  
Vol 15 (2) ◽  
pp. 127-137
Author(s):  
Kuyyamudi Nanaiah Ganapathy ◽  
Sujay Rakshit ◽  
Sunil Shriram Gomashe ◽  
Suri Audilakshmi ◽  
Krishna Hariprasanna ◽  
...  

Knowledge on genetic diversity is necessary to determine the relationships among the genotypes, which allow the selection of individual accessions for crop breeding programmes. The present study aimed at assessing the extent and pattern of genetic diversity within a set of 251 sorghum genotypes using SSR markers. A total of 393 alleles were detected from the 251 genotypes, with the number of alleles ranging from 2 (Xcup11) to 24 (Sb5-206) and an average of 10.07 alleles per primer pair. Pairwise Wright's FST statistic and Nei's genetic distance estimates revealed that the race and geographical origin were responsible for the pattern of diversity and structure in the genetic materials. In addition, the analysis also revealed high genetic differentiation between the rainy and post-rainy sorghum groups. Narrow diversity was observed among the different working groups in the rainy (restorers and varieties) and post-rainy (varieties and advanced breeding lines) sorghum groups. Neighbour-joining and STRUCTURE analysis also classified 44 elite lines broadly into two distinct groups (rainy and post-rainy). However, limited diversity within the rainy and post-rainy sorghum groups warranted an urgent need for the utilization of diverse germplasm accessions for broadening the genetic base of the Indian breeding programme. The diverse germplasm accessions identified from the mini-core accessions for utilization in breeding programmes are discussed.


Author(s):  
Shadmanov RK ◽  

The success of any breeding program depends upon the availability of genetic variability of traits of interest and availability of efficient markers for selection of traits. Within the last 20 years, molecular biology has revolutionized conventional breeding techniques in all areas. Biochemical and molecular techniques have shortened the duration of breeding programmes. In this article are discussed the opportunities of use of biochemical markers (enzymes and proteins) for acceleration of breeding of new and improving of existing cotton varieties on tolerance to different unfavourable environmental factors and with complex of desired traits and varietal purity. We analyzed nineteen (19) local cotton varieties and lines (Gossypium hirsutum L.) for this purpose. The indices of oxidoreductases class enzymes and two phosphoprotein markers were developed as objective biochemical markers of earliness, homogeneity, tolerance to Verticillium wilt, drought and salinity.


2017 ◽  
Vol 20 (2) ◽  
pp. 13-19
Author(s):  
MA Siddique ◽  
M Khalequzzaman ◽  
MZ Islam ◽  
ESMH Rashid ◽  
MHK Baktiar ◽  
...  

Assessment of genetic diversity is essential for germplasm characterization, utilization and conservation. Genetic diversity of 31 Aus rice genotypes of Bangladesh was assessed using 11 ILP (intron length polymorphism) markers. A total of 28 alleles were detected and the number of alleles per locus varied from 2 (RI01779, RI05751, RI05304, RI03205, RI00299, RI05407) to 4 (RI05559). The PIC values ranged from 0.06 (RI05407) to 0.57 (RI05559) with an average of 0.33. PIC value revealed that RI05559 was the best ILP markers for the studied 31 Aus rice genotypes. The dendrogram from unweighted pair-group method with arithmetic average clustering classified the genotypes into five groups at a coefficient of 0.57. Two dimensional graphical views of Principal Coordinate Analysis (PCoA) revealed that the genotypes Kuchmuch, Kalo dhan, Aus dhan, Sadey aus, Chaina and Dighi bawalia were found far away from the centroid of the cluster and can be seslected as parents for further breeding programmes. Parangi and V3, Adubali and H1-2, Begunbichi and Hashikalmi had closest distance (0.000) in the distance matrix might have same genetic background. This information will be useful for the selection of genetically diversed parents and assist in trait development using genotypes in rice breeding programmes in future. The results provided some useful implications for establishment of sovereignty of Bangladeshi rice gene pool. It was also suggested that ILP markers could be very useful for the genetic study and breeding in rice.Bangladesh Rice j. 2016, 20(2): 13-19


Bragantia ◽  
2011 ◽  
Vol 70 (4) ◽  
pp. 745-752 ◽  
Author(s):  
Marcos Vinicius Bohrer Monteiro Siqueira ◽  
Aline Borges ◽  
Teresa Losada Valle ◽  
Elizabeth Ann Veasey

This study was carried out in order to assess the genetic diversity of 20 cassava (Manihot esculenta Crantz) genotypes with high phenotypic performance using microsatellite markers. Two groups were considered for this study: eleven varieties for industrial uses and nine for household consumption. By using nine microsatellite primers, high polymorphism was identified in all the loci analyzed, with values reaching 100%. On average, 3.4 alleles per locus were found, with 0.371 the value estimated for the observed heterozygosity and 0.555 for gene diversity for the entire set of varieties. The genetic variability found in both varieties, cultivated on a large-scale in the South Center region of Brazil, is wide enough to allow the choice of divergent parental genotypes to be used in crosses to obtain new recombinant genotypes. Furthermore, the analyses indicated a high genetic variability within the two groups (I: varieties for industrial uses; II: varieties for household consumption). However, varieties for household consumption attain higher genetic variability, probably due to high priority placed on selection of different sensorial traits. In the cluster analysis, a tendency for separation of varieties for industrial use and household consumption was verified. Our results represent an important source of information to the cassava breeding program in Brazil.


Author(s):  
Velugoti Priyanka Reddy ◽  
Gaibriyal. M. Lal ◽  
Subhadra Pattanayak ◽  
Jakkam Mahipal Reddy

An experiment was conducted during Rabi, 2019-20 at Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Prayagraj (Allahabad) consisting of 36 chickpea genotypes obtained from ICAR-Indian Institute of Pulses Research, Kanpur, U.P in RBD with three replications. The data was recorded on 13 traits to study the genetic divergence. Analysis of variance revealed that there was considerable genetic variability in the available germplasm for all the characters studied. Divergence analysis revealed that highest inter cluster distance (1505.25) was found between clusters I and V indicates that there is ample scope for selection of better parents.


1998 ◽  
Vol 21 (1) ◽  
pp. 105-113 ◽  
Author(s):  
Carlos Colombo ◽  
Gérard Second ◽  
Tereza Losada Valle ◽  
André Charrier

RAPD markers were used to investigate the genetic diversity of 31 Brazilian cassava clones. The results were compared with the genetic diversity revealed by botanical descriptors. Both sets of variates revealed identical relationships among the cultivars. Multivariate analysis of genetic similarities placed genotypes destinated for consumption "in nature" in one group, and cultivars useful for flour production in another. Brazil’s abundance of landraces presents a broad dispersion and is consequently an important resource of genetic variability. The botanical descriptors were not able to differentiate thirteen pairs of cultivars compared two-by-two, while only one was not differentiated by RAPD markers. These results showed the power of RAPD markers over botanical descriptors in studying genetic diversity, identifying duplicates, as well as validating, or improving a core collection. The latter is particularly important in this vegetatively propagated crop.


2016 ◽  
Vol 14 (3) ◽  
pp. e0707 ◽  
Author(s):  
Orlando Noldin ◽  
Pedro Revilla ◽  
Bernardo Ordás

Avati Morotî is a race of floury maize widely used by the Guarani people in South America, whose variability and potential value for breeding has been neglected so far. The objective of this research was to explore the genetic variability within the main Paraguayan race Avati Morotî. We studied the genetic variability available in the 20 accessions of Paraguayan Avati Morotî included in the South American core collection made by CIMMYT. Thirty individuals per accession were genotyped with 30 SSR (simple sequence repeat); we determined genetic diversity and made a cluster analysis in order to define genetic relationships among accessions. Mean of polymorphic loci (0.96), alleles per locus (3.57), alleles per polymorphic locus (3.65), expected (0.48) and observed (0.43) heterozygosity, and coefficient of consanguinity (0.12) revealed that Avati Morotî contains a genetic diversity comparable to the most variable maize races of maize. The cluster analysis classified the 20 populations in eight groups, five of them with a single accession, and a large group representing a central pool of germplasm. These results indicate that there is a large variability available in this race, and encourage the collection of more samples of Avati Morotî, particularly in marginal areas that were scarcely sampled.


Author(s):  
T. Kiss ◽  
K. Balla ◽  
A. Cseh ◽  
Z. Berki ◽  
Á. Horváth ◽  
...  

AbstractKnowledge of the degree of genetic diversity can provide fundamental information to breeders for use in various breeding programmes, for instance for the selection of lines with better adaptability. The genetic diversity analysis of 188 winter wheat genotypes demonstrated that this group of cultivars could be divided into four clusters based primarily on geographical origin. The first group contained mostly American and Asian cultivars, while cluster 2 consisted of Central European cultivars, cluster 3 of Hungarian and South European cultivars and cluster 4 mainly of cultivars from Western Europe. Cultivars used in breeding programmes in Central and South East European breeding programmes were found in all four clusters. Wheat genotypes originating from this region of Europe proved to have greater genetic variability than lines from Western and Northern Europe. Among the four clusters, there were also differencies in the frequencies of winter–spring alleles in Vrn-A1, Vrn-B1, Vrn-D1 vernalisation response genes and in the frequencies of sensitive–insensitive alleles in Ppd-B1 and Ppd-D1 photoperiod response genes, which explained the differences in heading date of the four clusters as well.


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