UPOV morphological versus molecular markers for maize inbred lines variability determination

Babić, Vojka; Nikolić, Ana; Andjelkovic, Violeta; Kovačević, Dragan; Filipović, Milomir; Vasić, Vladimir; Mladenovic-Drinic, Snezana

doi:10.4067/s0718-58392016000400004

Cited by 17 publications

(9 citation statements)

References 10 publications

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“…Whereas, lowest genetic dissimilarity was observed for inbred DMSC8 with WNDMRSCY18R730 (5.71) followed by SC FFEMALE (6.60). These results highlighted the efficiency of morphological markers in deciphering genetic diversity and population structure as reported earlier (Choudhary et al 2017;Babic et al 2014Babic et al , 2016Mazid et al 2013;Seshu et al 2015).…”

Section: Cluster Analysis Based On Agro-morphological Traitssupporting

confidence: 86%

“…Although information obtained from morphological data gives significant results and classifies the inbreds into distinct groups, it is a well-known fact that a major portion of phenotypic variability is probably a consequence of environment that affects expression of a trait to Babic et al (2012Babic et al ( , 2014 pointed out morphological markers, based on UPOV (International Union for the Protection of New Varieties Plant) descriptor, could produce sufficient level of discrimination in divergent groups as well as the fact that obtained information could be useful in maize breeding. Babic et al (2016) also reported the use of adequate statistical methods as well as scale of measurement could significantly increase quality and utility of morphological markers. In addition, use of molecular markers not only presents validatory proof of diversity assessed through morphological markers, but is also informative and robust tools for selection of elite inbreds without any biasness of environment.…”

Section: Genetic Diversity Assessment Based On Microsatellite Markersmentioning

confidence: 99%

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Genetic diversity of sweet corn inbreds using agro-morphological traits and microsatellite markers

et al. 2018

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Assessment of genetic diversity is a pre-requisite to broaden the genetic background of cultivated base of sweet corn, an endosperm mutant of field corn that alters starch biosynthesis pathway in endosperm. In the current investigation, genetic divergence among 39 inbred lines was assessed on the basis of 14 agro-morphological traits, two quality parameters and 63 microsatellite markers, selected on the basis of their association with QTLs affecting kernel quality. The cluster analysis based on unweighted pair-group method using arithmetic averages for agro-morphological and quality traits grouped the 39 inbreds into three clusters with 5, 14 and 20 genotypes, respectively. The unweighted neighbor-joining method for microsatellite markers also categorized the inbred lines into three major clusters grouping 10, 9 and 20 genotypes in cluster I, II and III, respectively. The two cluster distribution patterns showed approximately 36 percent similarity. The assay of 30 microsatellite repeats identified 82 alleles with allele size ranging from 80 to 400 bp. The major allele frequency and PIC value of the markers ranged from 0.42 to 0.79 and 0.27 to 0.63, respectively, which suggested the presence of high amount of polymorphism among the inbreds. The average heterozygosity was recorded to be 0.19 which signifies proper maintenance of inbred population. Principle co-ordinate analysis also depicted diverse nature of inbred lines and agreed well with the previously determined clustering pattern. This study has identified several inbreds, having good yield and high sugar content which will not only enhance the genetic background of sweet corn germplasm but will also lead to development of high-yielding hybrids with improved quality.

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Section: Cluster Analysis Based On Agro-morphological Traitssupporting

confidence: 86%

Section: Genetic Diversity Assessment Based On Microsatellite Markersmentioning

confidence: 99%

Genetic diversity of sweet corn inbreds using agro-morphological traits and microsatellite markers

et al. 2018

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“…Thus, it is a sample at the DNA sequence level, whereas morphological data, which have an association that is accounted for the genotype, the environment influence and, usually, any form of interaction. Several authors have indicated the likelihood of using molecular markers in genetic diversity studies in maize, and they have noted weak but significant relationships between the morphological and molecular similarity data (Beyene et al, 2005; Babic et al, 2016). However, Ristic et al (2013) reported low and non-significant correlations between morphological traits, Random amplified polymorphic DNA (RAPD) and simple sequence repeats (SSR) dissimilarity matrices.…”

Section: Discussionmentioning

confidence: 99%

Assessing maize diversity and defining a representative subset by means of selected morphological ear traits

Rincón-Sánchez

Ruiz-Torres²

2018

Plant Genet. Resour.

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The objectives of this study were to analyse the maize diversity in the southeast of Coahuila State in Mexico and to identify a representative subset that encompasses the majority of the diversity in the region of study. Seventy-seven native maize populations were first explored and given a race classification followed by a morphological description based on selected quantitative ear traits using 10 representative ears from the collected samples. The differences between maize populations from the adaptation area and the relationships between and within groups in the region of study indicate the usefulness of the ear traits to describe maize diversity. Two main groups were identified that summarized the maize diversity. The first group, the conical ear complex, includes populations adapted to highland altitudes (Conico Norteño Race). The second group, the cylindrical ear complex, represents populations adapted to lowland and intermediate altitudes (Raton and Tuxpeño Norteño). Using the phenogram, a subset of 18 out of the 77 maize populations (23.4%) was defined that accounts for the variation between and within the different race complexes. This subset also includes at least one representative population from each of the less represented types. The final subset, representing a sample of maize diversity, can be used to establish strategies for conservation and use, such as participatory conservation and management, or it can be used to develop breeding techniques for improving the land race populations within the region of study.

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“…Second is to build correlation between Molecular Plant Breeding 2019, Vol.10, No.11, 81-92 http://genbreedpublisher.com/index.php/mpb Figure 4 Strategies for core site selection of polyploid: combination marker method morphological characters difference and molecular marker character difference, this way is the focus of current research. It has been explored in the corn (Babic et al, 2016), barley (Jones et al, 2013), and other crops. The preliminary results show that there is a certain correlation between them, but there is a non-linear correlation.…”

Section: Relationship Between Morphological Identification and Dna Fimentioning

confidence: 99%

Principle and Strategy of DNA Fingerprint Identification of Plant Variety

Wang¹,

Tian²,

Yi³

et al. 2019

mpb

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Plant variety identification has profound meanings to ensure seed quality and food safety. DNA fingerprinting has its advantage in plant variety identification, and has transformed from indirect evidence into a mainstream method. A method for DNA fingerprinting called core loci combination was summarized in this study, which utilized a set of fixed core loci combination to identify different varieties. Since 2003, the project has been constantly improved and expanded. The first was to form combination of expanded loci by increasing the quantity of core loci to cope with increasing demand of variety identification of derived varieties. The second was to further decompose the core loci into group specific loci which played the function of fast and accurate clustering and species-specific loci which had stronger variety identification function. The third was to further propose the core loci combination of polyploidy crops based on the mature experience of diploid crop, which are diploidized single marker method and combination marker method. From the trend of future development, the rapid development of new technologies such as sequencing technology and gene editing technology will largely promote the improvement of DNA fingerprinting and improve the application effect in practice. This article has systematically elaborated the concept and characteristics of variety identification, summarized major types and identification methods of DNA fingerprinting, extracted technical methods for variety DNA fingerprinting and finally out-looked the future trend of DNA fingerprinting development. It is hoped that the study could provide guidances for the development of DNA fingerprinting standard of each crops, and the application of molecular technology in the structure and variety identification of DNA fingerprinting database.

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UPOV morphological versus molecular markers for maize inbred lines variability determination

Cited by 17 publications

References 10 publications

Genetic diversity of sweet corn inbreds using agro-morphological traits and microsatellite markers

Genetic diversity of sweet corn inbreds using agro-morphological traits and microsatellite markers

Assessing maize diversity and defining a representative subset by means of selected morphological ear traits

Principle and Strategy of DNA Fingerprint Identification of Plant Variety

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