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  1. Home
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Browsing by Author "Mahendra Narain Singh"

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    PublicationArticle
    Comparative Study of Crossability Behavior in Intra-specific and Inter-specific Crosses of Vigna radiata and Vigna mungo
    (Agricultural Research Communication Centre, 2023) Varsha Singh; Anil Kumar Singh; Mahendra Narain Singh; Brajesh Sinha
    Background: The basic plant material consisted of 9 mungbean and 5 urdbean genotypes. 42 different crosses were made comprising 13 Vigna radiata ´ V. radiata, 4 V. radiata ´ V. mungo and 25 V. radiata ´ V. mungo crosses. Varying degree of success has been achieved in obtaining intraspecific and interspecific crosses having desired variability for yield and yield contributing traits along with MYMV resistance. Methods: The present investigation was done at Agricultural Research Farm, Banaras Hindu University, Varanasi, during Kharif, 2019 and Summer, 2020. 42 intra-specific and inter-specific cross combinations were initially examined for their crossability. Out of these, six promising crosses with higher crossability percent were further analyzed for hybrid pollen fertility, hybrid lethality and, evaluation of F1 and parents for different yield traits. Result: Crossability per cent found highest in intraspecific cross HUM 2 ´ IPM 02-3 (41.86%) in mungbean while, in urdbean cross NDU 1 ´ R3/12 (41.38%). In interspecific crosses, the maximum crossability per cent was found in SKAU M 365 ´ R3/28 (34.92%). Two mungbean genotypes (HUM 2 and HUM 26) and two urdbean genotypes (R3/12 and R3/28) can be further utilized for genetic improvement through inter-specific hybridization as there cross combinations are better performing on the basis of yield attributes along with MYMV resistance. © 2023, Agricultural Research Communication Centre. All rights reserved.
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    Genetic analysis of gene-specific resistance to mungbean yellow mosaic virus in mungbean (Vigna radiata)
    (Blackwell Publishing Ltd, 2019) Akhouri Nishant Bhanu; Mahendra Narain Singh; Kartikeya Srivastava
    Six intervarietal crosses involving two resistant and three susceptible genotypes of mungbean were attempted with the objectives to determine the mode of inheritance of gene-specific Mungbean Yellow Mosaic Virus (MYMV) resistance. An infector row technique along with artificial inoculation was used for evaluating parents, F 1 , F 2 and F 3 plants for MYMV resistance. Disease scoring for MYMV indicated that F 1 s were highly susceptible as were the susceptible parents while resistant parent exhibited resistant reaction. The F 2 progeny segregated in the ratio of 9 S:3 MS:3 MR:1 R suggesting that the resistance was governed by digenic recessive genes (r m 1 and r m 2). When one gene (r m 1) was present in the homozygous recessive condition in different plants, it conferred moderately susceptible (MS) reaction, whereas when other gene (r m 2) was in homozygous condition, moderately resistant (MR) reaction was obvious. When both genes (r m 1 and r m 2) were present together in the homozygous recessive condition, resistant reaction (R) was observed. The F 2 segregation explained on the basis of phenotypic expression was further confirmed by F 3 segregation. © 2019 Blackwell Verlag GmbH
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    Identification of high yielding and yellow mosaic virus resistance blackgram (Vigna mungo L. Wilczek) genotypes using multivariate analysis
    (Springer, 2024) Varsha Singh; Mahendra Narain Singh; Anil Kumar Singh; Kartik Madankar; B. Sinha
    21 blackgram genotypes, including the infector ‘Co 5’, were raised in a Completely Randomized Block design with two replications for two consecutive years (2018 and 2019) to screen blackgram yellow mosaic virus (MYMV) disease resistance under field conditions. Two genotypes viz., NDU 1 and Co 5 were highly susceptible to MYMV having PDI > 40% while other genotypes were resistant with PDI up to 10%. In general, genotypes with higher PDI (> 40%) had a lower number of pods per plant (NPP) and vice versa. The average number of susceptible genotypes pods per plant showed 23.75% reduction in number of pods per plant compared with resistant genotypes. These genotypes have undergone multivariate analysis including genetic variability, correlation, divergence and principal component analysis for eleven biometric traits. Principal component analysis revealed significant variation among traits with the first three principal components explaining approximately 74% of the total variation. Seed yield per plant; days to 50% flowering and percent disease index are important traits determining most of the variation. Mash 338, R3/12, R3/28 and PU 31 are the promising blackgram genotypes identified in the present study. These genotypes will be used to develop high yielding MYMV resistant blackgram varieties having other desirable yield traits. © The Author(s) under exclusive licence to Society for Plant Research 2023.
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    Inheritance studies on fusarium wilt resistance in long duration pigeonpea [Cajanus cajan (L.) Millsp.]
    (Agricultural Research Communication Centre, 2018) Anil Kumar Singh; Dhirendra Kumar Singh; Rajeev Kumar; Mahendra Narain Singh; Ved Prakash Rai
    Fusarium wilt (FW) is a major fungal disease of pigeonpea causing huge economic losses annually and breeding of FW resistant cultivars is essential as other control measures such as fungicides are expensive and harmful to environment. To understand the inheritance of FW resistance, nine populations each of F 1 , F 2 and BCSF 1 (F 1 × susceptible parent) derived from crossing between three adopted but susceptible long duration pigeonpea cultivars (MA-6, MAL-13 and MAL-18) with three FW resistant lines (BSMR-846, BWR-23 and BDN-2029). All F 1 plants were resistant to FW indicating the dominance of resistance. The χ 2 test for goodness-of-fit showed F 2 segregation ratio of 13:3 (one dominant and one recessive), 15:1 (two dominant genes) and 3:1 (one dominant gene) in BSMR-846, BWR-23 and BDN-2029, respectively. The information generated on the genetics of FW resistance will be helpful in development of high yielding and stable wilt resistant, long duration pigeonpea varieties. © 2018, Agricultural Research Communication Centre. All rights reserved.
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