Dinanath grass (Pennisetum pedicellatum Trin.) is an extensively grown forage grass known for its significant drought resilience. In order to comprehensively grasp the adaptive mechanism of Dinanath grass in response to water deficient conditions, transcriptomic and metabolomics were applied in the leaves of Dinanath grass exposed to two distinct drought intensities (48-hour and 96-hour). Transcriptomic analysis of Dinanath grass leaves revealed that a total of 218 and 704 genes were differentially expressed under 48- and 96-hour drought conditions, respectively. The genes that were expressed differently (DEGs) and the metabolites that accumulated in response to 48-hour drought stress mainly showed enrichment in the biosynthesis of secondary metabolites, particularly phenolics and flavonoids. Conversely, under 96-hour drought conditions, the enriched pathways predominantly involved lipid metabolism, specifically sterol lipids. In particular, phenylpropanoid pathway and brassinosteroid signaling played a crucial role in drought response to 48- and 96-hour water deficit conditions, respectively. This variation in drought response indicates that the adaptation mechanism in Dinanath grass is highly dependent on the intensity of drought stress. In addition, different genes associated with phenylpropanoid and fatty acid biosynthesis, as well as signal transduction pathways namely phenylalanine ammonia-lyase, putrescine hydroxycinnamoyl transferase, abscisic acid 8’-hydroxylase 2, syntaxin-61, lipoxygenase 5, calcium-dependent protein kinase and phospholipase D alpha one, positively regulated with drought tolerance. Combined transcriptomic and metabolomic analyses highlights the outstanding involvement of regulatory pathways related to secondary cell wall thickening and lignin biosynthesis in imparting drought tolerance to Dinanath grass leaves. These findings collectively contribute to an enhanced understanding of candidate genes and key metabolites relevant to drought response in Dinanath grass. Furthermore, they establish a groundwork for the creation of a transcriptome database aimed at developing abiotic stress-tolerant grasses and major crop varieties through both transgenic and genome editing approaches.

Pearl millet (Cenchrus americanus L.) field-grown plants of cv. 7042S shown unusual water-soaked lesions on leaf tips spreading towards the leaf base from Manasagangothri region (12.31°N 76.61°E), Karnataka, a southern Indian state during March 2020. Later those infected plants showed extensive necrosis and typical leaf blight symptoms with 70% disease incidence and 59% severity. Surface sterilized (3 x 3 mm) infected leaf tissues were crushed in 1mL sterile distilled water and streaked onto nutrient agar media. Bright-yellowish, circular, mucoid single bacterial colonies (PPi-M1) with regular margin were recovered after 24 hours of incubation at 28oC, and the same bacterial colonies were used for further biochemical and molecular characterization. The isolate, PPi-M1 found as gram-negative rods, gelatin, starch hydrolysis negative, and catalase, indole production positive. The partial sequence of 16S rRNA gene (primers: 27F/1492R) of the isolate PPi-M1 was amplified, sequenced, and curated sequence submitted to NCBI GenBank (accession number: MN808555). In nucleotide BLAST search for homologous sequences, 99.5% nucleotide matching similarity (1410bp) was observed with other Pantoea stewartii subspecies indologenes strains (MF163274; NR_104928) at NCBI database indicating that our isolate PPi-M1 belongs to this species. In Phylogenetic analysis using the Maximum Likelihood method and Tamura Nei model (1993), PPi-M1 formed a distinct cluster with other Pantoea stewartii strains with bootstrap value >95 and it was distant from P. allii, P. ananatis, P. agglomerans, and P. dispera. Besides, the subspecies-specific PCR assay and subsequent sequencing of galE and recA genes (primers: 3614galE/3614galEc; 3614recA/3614recAc; 372 and 223 bp) also confirmed the identity of the isolate as Pantoea stewartii subspecies indologenes. Further, the pathogenicity test was performed in-planta on 21 days old seedlings of pearl millet cv. CO-10. The bacterial suspension of isolate PPi-M1 (1x108 CFU/ml) was used for inoculation by leaf clipping method (Ke et al. 2017). All the inoculated plants (n=4 leaves per plant; 15 plants) maintained under greenhouse conditions (Temp: 27-29oC; RH: 80-85%) except mock (sterile water inoculation) shown similar water-soaked lesions from the cut end of the leaf, with a definite spreading margin and a typical leaf blight symptom in 8 dpi, as observed in the field. Re-isolated bacterial colonies from infected leaves shared similar morphological characters and molecular identity with inoculated culture, thus proving Koch's postulates. This pearl millet leaf blight causing bacterial strain PPi-M1 was deposited in the National Agriculturally Important Microbial Culture Collection, Mau, India (accession no.: NAIMCC-B-02508). Previously, P. stewartii was reported to cause leaf blight and rot diseases on rice and maize (Kini et al. 2016; Roper et al. 2011), also the international seed federation has instigated the phytosanitary measures highlighting its true seed transmission ability (Pataky et al. 2003). This study will supplement future pearl millet breeding programs, and to our knowledge, this is the first report of P. s. subsp. indologenes inciting pearl millet leaf blight disease in India.

The development of stable and high-yielding fodder pearl millet genotypes with improved quality traits is crucial for enhancing livestock productivity under diverse environments. In this study, twenty-six elite genotypes, including brown midrib (bmr) lines and two check cultivars, were evaluated across four locations, which fall broadly under two agro-climatic zones of India, during the summer season of 2024 to assess their stability for yield and fodder quality traits. Significant genotypic differences and genotype × environment interactions (GEIs) were observed for all traits, indicating substantial genetic variability and environmental influence on trait expression. Additive Main Effects and Multiplicative Interaction (AMMI) and Weighted Average of Absolute Scores (WAAS) analyses identified IGPM 100 as a high-yielding and stable genotype across environments, whereas Baif Bajra 1 and IGBV 97 exhibited specific adaptation. Among quality traits, ICMbmr 2401, ICMbmr 2402, and ICMbmr 2404 recorded consistently low lignin content, confirming their potential for improving forage digestibility. Further, ICFPM 05 recorded high tillering and longer leaves, while ICMFV 2308 exhibited late flowering across locations, indicating their potential for use in developing leafy, late-flowering genotypes. The multi-trait stability index (MTSI) efficiently identified IGPM 100, ICFPM 02, ICMbmr 2404, and IGBV 9 as superior and stable genotypes across multiple traits. High selection differentials for green fodder yield and negative differentials for lignin and fibre fractions highlight the possibility of a simultaneous improvement in yield and quality traits. Overall, the integration of AMMI, WAAS, and MTSI models facilitated the identification of broadly adapted and trait-specific genotypes, which, after evaluating their combining ability, can be used for developing fodder pearl millet composites and hybrids.