Role of Antioxidative Defense in Yellow Mosaic Disease Resistance in Black Gram [Vigna mungo (L.) Hepper]

Author(s):  
Yuviana J. Singh ◽  
Satvir Kaur Grewal ◽  
Ranjit Kaur Gill
2017 ◽  
Vol 23 (4) ◽  
pp. 767-777 ◽  
Author(s):  
Rahul Singh Jasrotia ◽  
Mir Asif Iquebal ◽  
Pramod Kumar Yadav ◽  
Neeraj Kumar ◽  
Sarika Jaiswal ◽  
...  

2004 ◽  
Vol 54 (4) ◽  
pp. 319-325 ◽  
Author(s):  
Yoshihiro Okada ◽  
Ryouichi Kanatani ◽  
Syouichi Arai ◽  
Kazutoshi Ito

Author(s):  
Kalyankumar Kamesh Krishnamoorthy ◽  
Varagur Ganesan Malathi ◽  
Perumal Renukadevi ◽  
Subbarayalu Mohan Kumar ◽  
Muthurajan Raveendran ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Gurpreet Kaur ◽  
Mamta Pathak ◽  
Deepak Singla ◽  
Abhishek Sharma ◽  
Parveen Chhuneja ◽  
...  

Yellow mosaic disease (YMD) in bitter gourd (Momordica charantia) is a devastating disease that seriously affects its yield. Although there is currently no effective method to control the disease, breeding of resistant varieties is the most effective and economic option. Moreover, quantitative trait locus (QTL) associated with resistance to YMD has not yet been reported. With the objective of mapping YMD resistance in bitter gourd, the susceptible parent “Punjab-14” and the resistant parent “PAUBG-6” were crossed to obtain F4 mapping population comprising 101 individuals. In the present study, the genotyping by sequencing (GBS) approach was used to develop the genetic linkage map. The map contained 3,144 single nucleotide polymorphism (SNP) markers, consisted of 15 linkage groups, and it spanned 2415.2 cM with an average marker distance of 0.7 cM. By adopting the artificial and field inoculation techniques, F4:5 individuals were phenotyped for disease resistance in Nethouse (2019), Rainy (2019), and Spring season (2020). The QTL analysis using the genetic map and phenotyping data identified three QTLs qYMD.pau_3.1, qYMD.pau_4.1, and qYMD.pau_5.1 on chromosome 3, 4, and 5 respectively. Among these, qYMD.pau_3.1, qYMD.pau_4.1 QTLs were identified during the rainy season, explaining the 13.5 and 21.6% phenotypic variance respectively, whereas, during the spring season, qYMD.pau_4.1 and qYMD.pau_5.1 QTLs were observed with 17.5 and 22.1% phenotypic variance respectively. Only one QTL qYMD.pau_5.1 was identified for disease resistance under nethouse conditions with 15.6% phenotypic variance. To our knowledge, this is the first report on the identification of QTLs associated with YMD resistance in bitter gourd using SNP markers. The information generated in this study is very useful in the future for fine-mapping and marker-assisted selection for disease resistance.


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