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Neeraj Budhlakoti

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Neeraj Budhlakoti
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Neeraj Budhlakoti

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2018 - 201922020 - 20224
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    Genomic selection: A tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops
    (Frontiers, 2022) Neeraj Budhlakoti; Kushwaha, A.K.; Rai, A.; Chaturvedi, K.K.; Kumar, A.; Pradhan, A.K.; Kumar, U.; Rajeev Kumar; Juliana, P.; Mishra, D.C.; Kumar, S.
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    Validation of Novel spot blotch disease resistance alleles identified in unexplored wheat (Triticum aestivum L.) germplasm lines through KASP markers
    (BioMed Central, 2022) Kumar, S.; Pradhan, A.K.; Kumar, U.; Dhillon, G.S.; Kaur, S.; Neeraj Budhlakoti; Mishra, D.C.; Singh, A.K.; Singh, R.; Kumari, J.; Kumaran, V.V.; Mishra, V.K.; Bhati, P.; Das, S.; Chand, R.; Singh, K.; Kumar, S.
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    Genetic characterization for lesion mimic and other traits in relation to spot blotch resistance in spring wheat
    (Public Library of Science, 2020) Singh, S.; Mishra, V.K.; Kharwar, R.N.; Neeraj Budhlakoti; Ram Narayan Ahirwar; Dwijesh Chandra Mishra; Kumar, S.; Chand, R.; Kumar, U.; Kumar, S.; Joshi, A.K.
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    Genome-wide association study reveals genomic regions associated with ten agronomical traits in wheat under late-sown conditions
    (Frontiers, 2020) Kumar, S.; Kumari, J.; Bhusal, N.; Pradhan, A.K.; Neeraj Budhlakoti; Dwijesh Chandra Mishra; Chauhan, D.; Kumar, S.; Singh, A.K.; Reynolds, M.P.; Singh, G.P.; Singh, K.; Sareen, S.
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    Variations in straw fodder quality and grain–Straw relationships in a mapping population of 287 diverse spring wheat lines
    (Elsevier, 2019) Joshi, A.K.; Kumar, U.; Mishra, V.K.; Chand, R.; Chatrath, R.; Naik, R.; Suma S. Biradar; Singh, R.P.; Neeraj Budhlakoti; Devulapalli, R.; Blummel, M.
    A wheat association mapping population consisting of 287 diverse spring wheat lines were evaluated for three years in one location (Varanasi) and out of these for one year across three locations (Karnal, Dharwad and Varanasi) in India. Straw fodder quality traits analyzed were nitrogen (N) content, neutral (NDF) and acid (ADF) detergent fiber, acid detergent lignin (ADL), ash (ASH), in vitro organic matter digestibility (IVOMD) and metabolizable energy (ME) content. Grain yield (GY) and straw yield (SY) were also recorded. Highly significant (P < 0.0001) differences among lines were observed for all traits except for ADF and ADL in the three years trials conducted at Varanasi. However, year and location had strong (P < 0.0001) effects on all traits. Compared to line-dependent variations in GY and SY variation in straw fodder quality traits were small. Proportionally greatest variations between lines were observed for straw N where lowest and highest N varied by about 30%. Difference for NDF and ADF between lines were at most 4% units and below 3% units for IVOMD. Grain yield and straw yield were positively correlated (P < 0.0001) with GY accounting for 26% of the variation in SY. Straw N, IVOMD and ME were weakly but significantly (P < 0.05) negatively associated with GY and SY. Straw NDF and ADF were significantly (P < 0.05) positively correlated with GY but the association was again weak. Straw NDF, ADF and ADL were also weakly but significantly positively correlated with SY. Genome-wide association studies (GWAS) were applied to detect significant marker- straw fodder quality trait associations. Five genomic regions contributed for six traits (ADF, ADL, ASH, IVOMD, ME and NDF). ADF and ADL mapped in the common QTL region on chromosome 2B. Similarly, for the IVOMD and ME QTLs on chromosome 5B were associated with SNP marker, wsnp_Ku_c35090_44349517. While some associations were detected for ADF, ALD, ASH, IVOMD, ME and NDF on chromosomes 1A, 2B, 3A, 5A and 5B, the phenotypic variation explained was low to medium by individual QTL. A likely contributing factor was the comparatively small difference in straw fodder quality traits among the lines. It is interesting to note that line dependent variations in GY and SY were about two-fold. In other words, strong genotypic variations of GY and SY do exist. The lack of any similar variations in straw fodder quality traits is intriguing and requires further research.
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    Genome-wide association mapping of spot blotch resistance in wheat association mapping initiative (WAMI) panel of spring wheat (Triticum aestivum L.)
    (Public Library of Science, 2018) Ram Narayan Ahirwar; Mishra, V.K.; Chand, R.; Neeraj Budhlakoti; Dwijesh Chandra Mishra; Kumar, S.; Singh, S.; Joshi, A.K.
    Spot blotch (SB) caused by Bipolaris sorokiniana, is one of the most important diseases of wheat in the eastern part of south Asia causing considerable yield loss to the wheat crop. There is an urgent need to identify genetic loci closely associated with resistance to this pathogen for developing resistant cultivars. Hence, genomic regions responsible for SB resistance were searched using a wheat association mapping initiative (WAMI) panel involving 287 spring wheat genotypes of different origin. Genome-wide association mapping (GWAM) was performed using single nucleotide polymorphism (SNP) markers from a custom 90 K wheat SNP array. A mixed linear model (MLM) was used for assessing the association of SNP markers with spot blotch resistance in three consecutive years. Three traits were measured: incubation period, lesion number and area under the disease progress curve (AUDPC). Significant SNP markers were found linked to five, six and four quantitative trait loci (QTLs) for incubation period, lesion number and AUDPC respectively. They were detected on 11 different chromosomes: 1A, 1B, 1D, 4A, 5A, 5B, 6A, 6B, 6D, 7A, 7B with marker R2 range of 0.083 to 0.11. The greatest number of significant SNP-markers was found for lesion number and AUDPC on chromosome 6B and 5B, respectively, representing a better coverage of B-genome by SNPs. On the other hand, the most significant and largest SNP markers for incubation period were detected on 6A and 4A chromosomes indicating that this trait is associated with the A-genome of wheat. Although, QTLs for spot blotch resistance have been reported in wheat on these same chromosomes, the association of incubation period and lesion number with SB resistance has not been reported in previous studies. The panel exhibits considerable variation for SB resistance and also provides a good scope of marker-assisted selection using the identified SNP markers linked to resistant QTLs.
    Publication