scholarly journals Mapping of Quantitative Trait Loci Conferring Resistance to Barley Yellow Mosaic Virus in a Chinese Barley Landrace Mokusekko 3.

2001 ◽  
Vol 51 (3) ◽  
pp. 171-177 ◽  
Author(s):  
Chikara Miyazaki ◽  
Eiichi Osanai ◽  
Kazuo Saeki ◽  
Kazutoshi Ito ◽  
Takeo Konishi ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Mosaic Virus ◽  
Quantitative Trait ◽  
Yellow Mosaic Virus ◽  
Barley Landrace ◽  
Barley Yellow Mosaic Virus ◽  
Trait Loci

scholarly journals Quantitative Trait Loci Mapping of Resistance to Sugarcane Mosaic Virus in Maize

1999 ◽  
Vol 89 (8) ◽  
pp. 660-667 ◽  
Author(s):  
Xianchun Xia ◽  
Albrecht E. Melchinger ◽  
Lissy Kuntze ◽  
Thomas Lübberstedt
Keyword(s):  
Quantitative Trait Loci ◽  
Mosaic Virus ◽  
Quantitative Trait ◽  
Virus Disease ◽  
Interval Mapping ◽  
Field Trials ◽  
Sugarcane Mosaic Virus ◽  
Phenotypic Variance ◽  
Environment Interaction ◽  
Trait Loci

Sugarcane mosaic virus (SCMV) is an important virus disease of maize (Zea mays) in Europe. In this study, we mapped and characterized quantitative trait loci (QTL) affecting resistance to SCMV in a maize population consisting of 219 F3 or immortalized F2 families from the cross of two European maize inbreds, D32 (resistant) × D145 (susceptible). Resistance was evaluated in replicated field trials across two environments under artificial inoculation. The method of composite interval mapping was employed for QTL detection with a linkage map based on 87 restriction fragment length polymorphism and 7 mapped microsatellite markers. Genotypic and genotype × environment interaction variances for SCMV resistance were highly significant in the population. Heritabilities ranged from 0.77 to 0.94 for disease scores recorded on seven consecutive dates. Five QTL for SCMV resistance were identified on chromosomes 1, 3, 5, 6, and 10 in the joint analyses. Two major QTL on chromosomes 3 and 6 were detected consistently in both environments. Significant epistatic effects were found among some of these QTL. A simultaneous fit with all QTL in the joint analyses explained between 70 and 77% of the phenotypic variance observed at various stages of plant development. Resistance to SCMV was correlated with plant height and days to anthesis.

scholarly journals Identification of quantitative trait loci for resistance to powdery mildew in a Spanish barley landrace

2009 ◽  
Vol 25 (4) ◽  
pp. 581-592 ◽  
Author(s):  
Cristina Silvar ◽  
Hichem Dhif ◽  
Ernesto Igartua ◽  
Doris Kopahnke ◽  
Maria P. Gracia ◽  
...  
Keyword(s):  
Quantitative Trait Loci ◽  
Powdery Mildew ◽  
Quantitative Trait ◽  
Barley Landrace ◽  
Trait Loci

Identification and Validation of Quantitative Trait Loci of Mungbean Yellow Mosaic Virus Disease Resistance in Blackgram [Vigna mungo (L). Hepper]

2021 ◽  
Author(s):  
K. Vadivel ◽  
N. Manivannan ◽  
A. Mahalingam ◽  
V.K. Satya ◽  
C. Vanniarajan ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Quantitative Trait Loci ◽  
Mosaic Virus ◽  
Phenotypic Variation ◽  
Quantitative Trait ◽  
Tamil Nadu ◽  
Virus Disease ◽  
Yellow Mosaic Virus ◽  
Disease Score ◽  
Mungbean Yellow Mosaic Virus

Background: Blackgram [Vigna mungo (L.) Hepper] is an important food legume crop of India. Mungbean yellow mosaic virus (MYMV) disease is the major problem in blackgram. The disease can reduce seed yield upto 100% or even kill a plant infected at an early vegetative stage. The most effective way to prevent the occurrence of this disease is to develop genetically resistant cultivars of blackgram. However, a major difficulty in breeding MYMV disease resistant in blackgram is field screening for the virus disease. Hence identification of QTL followed by Marker-assisted selection (MAS) is highly useful for genetic improvement of crops. With this background, a study was made for identification as well as validation of quantitative trait loci (QTL) for MYMV disease resistance in blackgram.Methods: A total of 112 F2:3 lines were evaluated for MYMV disease resistance along with parents viz., MDU 1 (MYMV disease susceptible) and Mash 1008 (MYMV disease resistant) at the National Pulses Research Centre, Tamil Nadu Agricultural University, Vamban, Tamil Nadu during July-September 2018 under Augmented Design in the field. Each line was sown in one row of 3 m in length with a spacing of 30 cm as between row and 10 cm as within row. Susceptible genotypes CO 5 and MDU 1 were sown as disease spreader rows after every eight rows and also around the plots. The MYMV disease score was recorded on 60 DAS, by using phenotype rating scale from 1 (resistant) to 9 (highly susceptible), as suggested by Singh et al. (1995). The mean of each progeny was calculated and used as phenotypic data. A total of 525 SSR primers were used to test polymorphism between parents MDU 1 and Mash 1008. Genotyping was carried out for 112 F2:3 RILs of the cross MDU 1 x Mash 1008 with 35 polymorphic SSR markers. Linkage and QTL analyses were performed using QTL IciMapping (version 4.1.0.0) (Wang et al. 2016) and QGene 4.4.0 (Joehanes and Nelson 2008) respectively. Two mapping populations MDU 1 x Mash 114 and CO 5 x VBN 6 in F2:3 and F2 generations respectively were used in this study to validate the identified QTL regions.Result: QTL study indicated the presence of two major QTLs for MYMV disease score in LG 2 and LG 10 at 60 DAS with 20.90 and 24.90% of phenotypic variation respectively. Validation of these QTLs in two other mapping population indicated that QTL on LG 10 was validated with high phenotypic variation of 45.40-46.00%. Hence it may conclude that qmymv10_60 may be utilized for MAS/MABC with assured improvement on MYMV disease resistance in blackgram.

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