Performance of Frontline Demonstrations on Productivity and  Profitability of Black Gram (Vigna mungo) in Rainfed Condition  of Uttar-Bastar Kanker

Sahu, Birbal; Thakur, C.L.; Markam, Suresh Kumar; Nag, Upendra Kumar

doi:10.20546/ijcmas.2020.904.224

Cited by 2 publications

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“…More than 7 million ha of black gram are cultivated, with India having the largest area (about 5.6 million ha) and being the largest consumer, with Myanmar having the second largest area (about 1 million ha) and being the biggest exporter (Khine et al, 2021). The seed yield of black gram in major production countries is low (only about 990 kg/ha) due to several production constrains, such as drought, insect infestation, disease infection and photo-and thermo-sensitivity (Sahu et al, 2020;Singh et al, 2022). Therefore, genetic improvement of these traits is necessary to improve the seed yield of black gram.…”

Section: Introductionmentioning

confidence: 99%

Identification of quantitative trait loci controlling flowering time in black gram (Vigna mungo [L.] Hepper)

2023

ANRES

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Importance of the work:Flowering time is a key adaptive trait for expanding cultivation to high-latitude regions. However, little is known about the genetics of this trait. Objectives: Quantitative trait loci (QTL) controlling days to first flowering in black gram were identified in only the second report published. Materials & Methods: Two F 2 populations were each developed from a cross between cultivated (Chai Nat 80 (CN80)) and wild black gram (PI213017 and TVNu 1076) accessions and grown in different environments. Two high-density linkage maps were constructed from these populations using single nucleotide polymorphism markers. Results: Broad-sense heritability for days to first flowering in the F 2 populations was in the range 34.86-61.95%. QTL analysis revealed 11 QTLs controlling days to first flowering in two populations. Four QTLs (qDFFBGA2.1, qDFFBGA5.1, qDFFBGA8.1 and qDFFBGA9.1) were found in the population of CN80 × PI213017 that explained 8.93%, 7.87%, 11.13% and 10.88% of phenotypic variation, respectively. Seven QTLs (qDFFBGB2.1, qDFFBGB2.2, qDFFBGB4.1, qDFFBGB6.1, qDFFBGB8.1, qDFFBGB8.2 and qDFFBGB9.1) were found in the population of CN80 × TVNu 1076 which explained 38.02%, 4.22%, 3.36%, 7.12%, 3.85%, 4.41% and 19.42% of phenotypic variation, respectively. Nonetheless, no QTLs were common between populations, suggesting flowering time in black gram is highly influenced by environmental factors. Main finding: New QTLs controlling flowering time in natural short daylength and long daylength regimes were identified. None of the candidates were similar with those previously reported in Vigna species related to black gram, suggesting that one or more of the flowering pathways in black gram are different from other Vigna species.

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Section: Introductionmentioning

confidence: 99%

Identification of quantitative trait loci controlling flowering time in black gram (Vigna mungo [L.] Hepper)

2023

ANRES

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“…Despite the economic and nutritional value of black Gram, the sluggish growth in production is due to lack of commercialized market setup, multiple biotic stresses (mosaic, seedling blight, leaf blight, leaf crinkle virus, leaf folder, Bihar hairy caterpillar, whitefly) and abiotic stresses (drought, salinity, waterlogging). Photo- and thermo-sensitivity of crop with indeterminate habit of flowering and fruiting leads to competition of assimilates between vegetative and reproductive sinks throughout the growth period causing low harvest index and poor grain yield ( Somta et al, 2019 ; Sahu et al, 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Genome-wide Association Study for Yield and Yield-Related Traits in Diverse Blackgram Panel (Vigna mungo L. Hepper) Reveals Novel Putative Alleles for Future Breeding Programs

et al. 2022

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Blackgram (Vigna mungo L. Hepper) is an important tropical and sub-tropical short-duration legume that is rich in dietary protein and micronutrients. Producing high-yielding blackgram varieties is hampered by insufficient genetic variability, absence of suitable ideotypes, low harvest index and susceptibility to biotic-abiotic stresses. Seed yield, a complex trait resulting from the expression and interaction of multiple genes, necessitates the evaluation of diverse germplasm for the identification of novel yield contributing traits. Henceforth, a panel of 100 blackgram genotypes was evaluated at two locations (Ludhiana and Gurdaspur) across two seasons (Spring 2019 and Spring 2020) for 14 different yield related traits. A wide range of variability, high broad-sense heritability and a high correlation of grain yield were observed for 12 out of 14 traits studied among all environments. Investigation of population structure in the panel using a set of 4,623 filtered SNPs led to identification of four sub-populations based on ad-hoc delta K and Cross entropy value. Using Farm CPU model and Mixed Linear Model algorithms, a total of 49 significant SNP associations representing 42 QTLs were identified. Allelic effects were found to be statistically significant at 37 out of 42 QTLs and 50 known candidate genes were identified in 24 of QTLs.

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Performance of Frontline Demonstrations on Productivity and Profitability of Black Gram (Vigna mungo) in Rainfed Condition of Uttar-Bastar Kanker

Cited by 2 publications

References 0 publications

Identification of quantitative trait loci controlling flowering time in black gram (Vigna mungo [L.] Hepper)

Identification of quantitative trait loci controlling flowering time in black gram (Vigna mungo [L.] Hepper)

Genome-wide Association Study for Yield and Yield-Related Traits in Diverse Blackgram Panel (Vigna mungo L. Hepper) Reveals Novel Putative Alleles for Future Breeding Programs

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