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The present study aims to reveal the importance of some quantitative traits and genetic variability existing in the 40 sesame germplasm accessions. The analysis of variance revealed the significant differences among the genotypes for all the characters studied viz. days to maturity, capsule length, number of capsules per plant, number of seeds per capsule, leaf length, oil content, protein content, days to 50% flowering, number of branches per plant, number of leaves per plant, plant height, 1000-seed weight and seed yield per plant, which showed high heritability. The higher estimates of GCV were obtained for number of capsules per plant, number of branches per plant and seed yield per plant, while, it was moderate for capsule length, internode length, number of seeds per capsule and number of leaves per plant. Rest of the characters viz., days to 50% flowering, days to maturity, plant height, 1000-seed weight, leaf length, oil content and protein content showed low GCV. The characters like; capsule length, number of branches per plant, number of leaves per plant, number of capsules per plant, number of seeds per capsule and seed yield per plant exhibited high genetic advance coupled with high heritability, indicating better scope for improvement of these traits by an effective selection programme also indicated the predominance of additive gene effects, in controlling these traits.

The effect of different priming treatments were evaluated during 2015–16 and 2016–17 with two wheat (Triticum aestivum L.) varieties V1: GW 496 and V2: Lok 1. The seeds of both the varieties were primed with different priming treatments, viz. P1, GA3 (50 ppm); P2, IAA (100 ppm); P3, KNO3 (3%); P4, KCl (2%); P5, Tricoderma harzianum @10 g/kg and P6, Tricoderma viride @10 g/kg along with unprimed seeds as a control (P7). The variety Lok 1 (V2) showed positive response to different priming treatments and seeds of Lok 1 primed with KNO3 (3%) recorded significantly higher pooled average field emergence (96.42%), number of effective tillers (7.75), spike length (12.99 cm), seed yield per plant (13.55 g), seed yield per plot (2.45 kg) during both the years followed by GA3 (50 ppm) primed seeds which recorded at par values for almost all the seed yield attributes. The unprimed seeds of wheat variety GW 496 recoded significantly lower values for all the observed characters for both the experimental years.

Machining is one of the stochastic processes, in which, the work specimen is exposed to rigorous plastic deformation which, results in rapid increase in work hardening effect and affects the life of the cutting tool particularly for Inconel 718. The depth and degree at which machined surface harden depends on factors like material properties, tool composition and tool dimensions, tool condition, cutting environment and cutting parameters. This article aims to study the work hardening effect and flank wear while machining in different conditions with different cutting tools. Further, it is important to correlate the cutting velocity and tool wear with wok hardening effect. Experimentation was carried out on Inconel 718 in a CNC lathe machine under various machining conditions namely dry, minimum quantity lubrication and flood cooling using different tools namely PVD coated TiAlN, Ceramic (70% Al2O3 + 30% TiC) and cBN having same tool dimensions. [ABSTRACT FROM AUTHOR]

Genetic analysis of seventeen pigeonpea genotypes for fusarium wilt using twenty eight microsatellite markers produced 88 alleles. Difference in allele size was observed among resistant and susceptible genotypes. The average number of alleles per locus was found to be 3.14 the average PIC values was 0.49 using these microsatellite markers. The Jaccard's similarity coefficients based on microsatellite markers data analysis was 0.49. A dendrogram constructed based on the UPGMA clustering method revealed two major clusters. Cluster-I comprised of nine cultivars and the cluster-II included remaining eight cultivars. Genotypes that are susceptible to fusarium wilt of pigeonpea viz., GT-1, GT-100, GT-101, GT-102, BANAS, AVPP-1, AGT-2, T-15-15 and LRG-41 formed one cluster. The dendogram showed that genotypes that are resistant to fusarium wilt of pigeonpea viz., C-11, BDN-2, ICPL-87, ICPL-87119, ICPL-84060, ICP-8863, BSMR-853 and WRGE-119 were closely related and they formed another cluster. The study revealed that microsatellite markers can be efficiently used for discriminating resistant and susceptible pigeonpea genotypes for fusarium wilt. [ABSTRACT FROM AUTHOR]

Many species of the genusSalaciaL. are used in traditional Indian systems of medicines for their anti-diabetic potential. In this study, we carried out a comparative phytochemical evaluation of the roots of nine species ofSalaciaviz. S. agasthiamalana, S. beddomei, S. brunoniana, S. chinensis, S. fruticosa, S. gambleana, S. malabarica, S.oblongaandS. wayanadica,which are distributed in the Southern Western Ghats. Qualitative profiling showed the presence of different phytochemicals. Subsequently quantification of mangiferin, the prominent anti-diabetic molecule was carried out using HPLC in all these species. S. brunoniana(2.586 mg/g of dry root) showed maximum mangiferin content, followed byS. beddomei(2.195),S. chinensis(1.57), S. fruticosa(1.055), S. oblonga(0.305),S. agasthiamalana(0.086),S. malabarica(0.0296),S. gambleana(0.0218) andS. wayanadica(0.0005). The presence of mangiferin inS. agasthiamalana,S. beddomei,S. brunoniana,S. gambleana, S. malabaricaandS. wayanadica, are reported for the first time. The study identified thatS. brunonianaandS. beddomeicould be the most promising raw material for anti-diabetic drug formulations based on mangiferin content. [ABSTRACT FROM AUTHOR]