Browsing by Author "Jha, Rintu"

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Association mapping of genomic loci linked with Fusarium wilt resistance (Foc 2) in chickpea
(Cambridge University Press, 2021) Jha, Uday Chand; Jha, Rintu; Bohra, Abhishek; Manjunatha, Lakshmaiah; Saabale, Parasappa Rajappa; Parida, Swarup K.; Chaturvedi, Sushil Kumar; Thakro, Virevol; Singh, Narendra Pratap
Improving plant resistance against Fusarium wilt (FW) is key to sustaining chickpea production worldwide. Given this, the current study tested a set of 75 FW-responsive chickpea breeding lines including checks in a wilt-sick plot for two consecutive years (2016 and 2017). Genetic diversity analysis using 75 simple sequence repeats (SSRs) revealed a total of 267 alleles with an average of 3.56 alleles per marker. The entire set was divided into two major classes based on clustering method and factorial analysis. Similarly, STRUCTURE analysis placed the 75 genotypes into three distinct sub-groups (K = 3). Marker-trait association (MTA) analysis using the generalized linear model approach revealed nine and eight significant MTAs for FW resistance in the years 2016 and 2017, respectively. Three significant MTAs were obtained for FW resistance following the mixed linear model approach for both years. The SSR markers CESSR433, NCPGR21 and ICCM0284 could be potentially employed for targeted and accelerated improvement of FW resistance in chickpea. To the best of our knowledge, this is the first report on association mapping of the genomic loci controlling FW (Foc2) resistance in chickpea.
Discerning molecular diversity and association mapping for phenological, physiological and yield traits under high temperature stress in chickpea (Cicer arietinum L.)
(Springer Nature Publishing AG, 2021) Jha, Uday Chand; Jha, Rintu; Thakro, Virevol; Kumar, Anurag; Gupta, Sanjeev; Nayyar, Harsh; Basu, Parthasarathi; Parida, Swarup K.; Singh, Narendra Pratap
High temperature (HT) stress is assuming serious production constraint for chickpea production worldwide. A collection of 182 diverse chickpea genotypes was assessed for genetic variation in 15 traits including phenological, physiological and yield-related traits under both normal sown (NS) and late sown (LS) conditions for two years 2017–2018 and 2018–2019, which revealed significant variation for all the traits. Association mapping of chickpea genotypes was also conducted with 120 simple sequence repeat markers distributed across all the chickpea chromosomes to discern the molecular diversity and to capture the significant marker-trait association (MTA). MTA analysis based on mixed linear model (MLM) revealed a total of 24 and 14 significant associations for various traits evaluated under NS conditions in 2017 and 2018, respectively. Similarly, a total of 17 and 34 significant associations for various traits were also recorded under LS conditions in 2018 and 2019, respectively. Notably, ICCM0297, NCPGR150, TAA160 and NCPGR156 markers showed significant MTA under both NS and LS conditions and GA11 exhibited significant MTA for filled pod% under late sown condition for both years. Thus, these markers could be useful for genomics-assisted breeding for developing heat-tolerant chickpea genotype.
Population structure and association analysis of heat stress relevant traits in chickpea (Cicer arietinum L.)
(Springer, 2018) Jha, Uday Chand; Jha, Rintu; Bohra, Abhishek; Parida, Swarup K.; Kole, Paresh Chandra; Thakro, Virevol; Singh, Deepak; Singh, Narendra Pratap
Understanding genetic diversity and population structure is prerequisite to broaden the cultivated base of any crop. In the current investigation, we report discovery of a total of 319 alleles by assaying 81 SSRs on 71 chickpea genotypes. The cluster analysis based on Jaccard coefficient and unweighted neighbor joining algorithm categorized all genotypes into two major clusters. Cultivars grown within the same agro-climatic zones were clustered together, whereas the remaining genotypes particularly advanced breeding lines and accessions assigned to another cluster. Population structure analysis separated the entire collection into two subpopulations (K = 2) and the clustering pattern remained in close agreement with those of distance-based methods. Importantly, we also discovered marker trait association for membrane stability index (MSI) and leaf chlorophyll content measured as SPAD chlorophyll meter reading (SCMR), the two important physiological parameters indicative of heat stress (HS) tolerance in chickpea. Association analysis using both general linear and mixed linear models of the mean phenotypic data of traits recorded in 2016 and 2017 uncovered significant association of NCPGR206 and H2L102 with the MSI trait. Likewise, SSR markers GA9, TR31 and TA113 exhibited significant association with SCMR trait. The genomic regions putatively linked with two traits may be investigated in greater detail to further improve knowledge about the genetic architecture of HS tolerance in chickpea.
Salinity stress response and 'omics' approaches for improving salinity stress tolerance in major grain legumes
(Springer Nature, 2019) Jha, Uday Chand; Bohra, Abhishek; Jha, Rintu; Parida, Swarup K.
Key message Sustaining yield gains of grain legume crops under growing salt-stressed conditions demands a thorough understanding of plant salinity response and more efficient breeding techniques that effectively integrate modern omics knowledge. Abstract Grain legume crops are important to global food security being an affordable source of dietary protein and essential mineral nutrients to human population, especially in the developing countries. The global productivity of grain legume crops is severely challenged by the salinity stress particularly in the face of changing climates coupled with injudicious use of irrigation water and improper agricultural land management. Plants adapt to sustain under salinity-challenged conditions through evoking complex molecular mechanisms. Elucidating the underlying complex mechanisms remains pivotal to our knowledge about plant salinity response. Improving salinity tolerance of plants demand enriching cultivated gene pool of grain legume crops through capitalizing on ‘adaptive traits’ that contribute to salinity stress tolerance. Here, we review the current progress in understanding the genetic makeup of salinity tolerance and highlight the role of germplasm resources and omics advances in improving salt tolerance of grain legumes. In parallel, scope of next generation phenotyping platforms that efficiently bridge the phenotyping–genotyping gap and latest research advances including epigenetics is also discussed in context to salt stress tolerance. Breeding salt-tolerant cultivars of grain legumes will require an integrated “omics-assisted” approach enabling accelerated improvement of salt-tolerance traits in crop breeding programs.