Association of SSR markers and morpho-physiological traits associated with salinity tolerance in sugar beet (Beta 
                     vulgaris L.)

Abbasi, Zahra; Majidi, Mohammad Mahdi; Arzani, Ahmad; Rajabi, Abazar; Mashayekhi, Parisa; Bocianowski, Jan

doi:10.1007/s10681-015-1408-1

Cited by 17 publications

(8 citation statements)

References 49 publications

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“…Epistasis effects involved in the models proved that genetic of these traits is complex and polygenic (Lander and Schork 1994 ; Lefebvre and Palloix 1996 ; Hermisson et al 2003 ; Crow 2010 ). Epistasis has been demonstrated for numerous features in a number of cultivars of following species: barley (Kularia and Sharma 2005 ; Bocianowski et al 2016 ), corn (Melchinger et al 1987 ; Li et al 2016 ), sugar beet (Abbasi et al 2015 ), rice (Matsubara et al 2015 ), oilseed rape (Bocianowski et al 2017 ), common wheat (Bnejdi and El Gazzah 2008 ; Jaiswal et al 2016 ), and sorghum (Finkner et al 1981 ).…”

Section: Discussionmentioning

confidence: 99%

Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

et al. 2019

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The objective of this study was to assess genotype by environment interaction for 1000-kernel weight in spring barley lines grown in South Poland by the additive main effects and multiplicative interaction model. The study comprised of 32 spring barley ( Hordeum vulgare L.) genotypes (two parental genotypes—breeding line 1 N86 and doubled haploid (DH) line RK63/1, and 30 DH lines derived from F 1 hybrids), evaluated at six locations in a randomized complete block design, with three replicates. 1000-kernel weight ranged from 24.35 g (for R63N/42 in 2011) to 61.46 g (for R63N/18 in 2008), with an average of 44.80 g. AMMI analyses revealed significant genotype and environmental effects as well as GE interaction with respect to 1000-kernel weight. In the analysis of variance, 16.86% of the total 1000-kernel weight variation was explained by environment, 32.18% by differences between genotypes, and 24.50% by GE interaction. The lines R63N/61, R63N/22, and R63N/1 are recommended for further inclusion in the breeding program because their stability and the highest averages of 1000-kernel weight. The total additive effect of all genes controlling the trait and the total epistasis effect of 1000-kernel weight were estimated. Additive gene action effects based on DH lines were always larger that this parameter estimated on the basis of parental lines. Estimates of additive gene action effects based on the all DH lines were significantly larger than zero in each year of study. Epistasis effects based on all DH lines were statistically significant in 2011 and 2013.

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Section: Discussionmentioning

confidence: 99%

Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

et al. 2019

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“…Breeders have made crosses between selected but restricted number of double low rapeseed genotypes within the breeding gene pool. Today, molecular restriction fragment length polymorphism, RAPD, AFLP, single sequence repeat, and single-nucleotide polymorphism markers have been extensively used for the estimation of genetic distance or genetic similarity and provide more information than is available from pedigree information (Irzykowska and Bocianowski, 2008;Krzymińska et al, 2008;Wolko et al, 2010;Bus et al, 2011;Bocianowski and Seidler-Łożykowska, 2012;Irzykowska et al, 2012Irzykowska et al, , 2013Seidler-Łożykowska et al, 2014;Varghese et al, 2014;Abbasi et al, 2015). The objective of this study was to characterize the levels and patterns of genetic similarity among the 101 B. napus genotypes of different origin using selected AFLP primer combinations.…”

Section: Discussionmentioning

confidence: 99%

Assessment of Genetic Relationships in Breeding Lines and Cultivars of Brassica napus and Their Implications for Breeding Winter Oilseed Rape

Liersch

Bocianowski

Wos³

et al. 2016

Crop Science

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The level of genetic diversity or similarity between parents has been proposed as a predictor of F1 generation performance and heterosis for seed yield. The objective of this study was to determine the feasibility of using amplified fragment length polymorphism (AFLP) fluorescent‐labeled primers to evaluate the genetic relationships between 101 oilseed rape (Brassica napus L.) genotypes to maximize the selection of different parents in a breeding program. The collection of genotypes included 25 cytoplasmic male sterility ogura and 21 restorer lines (Rfo). The set of genotypes was completed with B. napus cultivars of Polish, European, and Asian origin and resynthesized lines. Ten primer‐enzyme combinations (EcoRI and MseI) were used. Genetic similarities among genotypes were estimated in accordance with the Nei and Li coefficient of similarity, and then the unweighted pair group method using arithmetic averages method was applied for the creation of a dendrogram. A total of 344 reproducible, polymorphic markers were obtained. Unweighted pair group method using arithmetic averages clustering based on the Nei and Li coefficient of similarity separated the 101 genotypes into four distinct clusters. Analysis of molecular variance showed that 90% of the detected variation was found within the group, while the variation among groups contributed to only 10%. Our results indicate that the AFLP technique seemed to be a suitable molecular method for assessing genetic relationships between oilseed rape inbred lines with high levels of accuracy. Genetic similarity evaluated on the basis of AFLP molecular markers is a significant addition to classical methods of selection of parental components of winter oilseed rape hybrid varieties (e.g., ‘Poznaniak’).

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“…Modern molecular biology techniques and new statistical methods have opened new horizons for the cotton breeders; thus, linkage mapping and association mapping are the two important methods employed for QTL analysis. Molecular marker-quantitative trait association is one of the powerful approaches for exploring the molecular basis of phenotypic variations in plant [12], and could be used to increase the efficiency of a breeding program, especially for salinity tolerance [13,14]. The present studies of genetic map construction are mainly reflected in three different DNA based molecular markers such as simple sequence repeats (SSR) [15], single-nucleotide polymorphism (SNP) markers [16,17] and Intron length polymorphisms (ILD) markers [18].…”

Section: Introductionmentioning

confidence: 99%

Association Analysis of Salt Tolerance in Asiatic cotton (Gossypium arboretum) with SNP Markers

Dilnur

Peng

Pan

et al. 2019

IJMS

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Salinity is not only a major environmental factor which limits plant growth and productivity, but it has also become a worldwide problem. However, little is known about the genetic basis underlying salt tolerance in cotton. This study was carried out to identify marker-trait association signals of seven salt-tolerance-related traits and one salt tolerance index using association analysis for 215 accessions of Asiatic cotton. According to a comprehensive index of salt tolerance (CIST), 215 accessions were mainly categorized into four groups, and 11 accessions with high salinity tolerance were selected for breeding. Genome-wide association studies (GWAS) revealed nine SNP rich regions significantly associated with relative fresh weight (RFW), relative stem length (RSL), relative water content (RWC) and CIST. The nine SNP rich regions analysis revealed 143 polymorphisms that distributed 40 candidate genes and significantly associated with salt tolerance. Notably, two SNP rich regions on chromosome 7 were found to be significantly associated with two salinity related traits, RFW and RSL, by the threshold of −log10P ≥ 6.0, and two candidate genes (Cotton_A_37775 and Cotton_A_35901) related to two key SNPs (Ca7_33607751 and Ca7_77004962) were possibly associated with salt tolerance in G. arboreum. These can provide fundamental information which will be useful for future molecular breeding of cotton, in order to release novel salt tolerant cultivars.

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Association of SSR markers and morpho-physiological traits associated with salinity tolerance in sugar beet (Beta vulgaris L.)

Cited by 17 publications

References 49 publications

Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

Genotype by environment interaction using AMMI model and estimation of additive and epistasis gene effects for 1000-kernel weight in spring barley (Hordeum vulgare L.)

Assessment of Genetic Relationships in Breeding Lines and Cultivars of Brassica napus and Their Implications for Breeding Winter Oilseed Rape

Association Analysis of Salt Tolerance in Asiatic cotton (Gossypium arboretum) with SNP Markers

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