Search

Significant variability is available in the F2 population of brinjal. Top crosses of brinjal Biliudda badane × mullu badane produced from F1 generation were in augmented design at ZARS Shimogga in Kharif 2017. They have several characteristics of plant breeding significance with sufficient scope for added improvement to growing conditions. The F2 study showed significant variation for nine quantitative traits. Close estimates between GCV and PCV values indicated lesser influence of environmental factors on the expression of traits under study. In this investigation, the proportion of genetic contribution of high GCV, PCV coupled with high broad sense heritability and genetic advance to the overall phenotypic expression of the studied traits like number of fruits per plant, number primary branches, number of flowers per plant was high, indicating predominant control of additive genes, and these traits could be improved upon by selection without progeny testing. High magnitude of heritability for most of the characters suggested the progress of improvement in yield and its components. Differences in mean values of parents for various characters indicated involvement of diverse parents in the crosses studied. The F2 plants exceeded either of the parents for most of the characters, which seems to be due to transgressive segregation.

One hundred linseed (Linum usitatissimum L.) genotypes and four checks were evaluated during rabi, 2017-18 for fifteen traits to examine the nature and magnitude of variability, heritability (h2=broad sense) and genetic advance. Analysis of variance revealed that the differences among genotypes were significant for all the characters studied. Knowledge of selection effect on positive or negative changes of a character under improvement is of paramount importance for the success of any plant breeding programme and helps the selection of desirable breeding methods. Heritability and genetic advance are important selection parameters and selection success is a reflectance of selection response. High PCV and GCV values exhibited for number of branches per plant, number of capsules per plant, yield per plant, palmitic acid and linoleic acid indicating wide range of variability with substantial environmental influence on the expression of these traits and provide better opportunity for improvement of these traits through selection. Small differences between GCV and PCV were recorded for all the characters studied which indicated less influence of environment on these characters. High heritability coupled with high Genetic advance as per cent of Mean (GAM >20%) observed for plant height, technical plant height, number of branches per plant, number of capsules per plant, yield per plant, palmitic acid, stearic acid, oleic acid, linoleic acid and linolenic acid indicated that these characters are highly heritable.

A field experiment was conducted to study the influence of planting methods, geometry and age of seedlings on growth and productivity of pigeonpea at AHRS, Kathalgere, UAHS, Shivamogga, Karnataka, India, during 2017-18 and 2018-19. The experiment was laid out in randomized complete block design with twelve treatment combinations and replicated thrice. Transplanted pigeonpea at 150cm × 45cm geometry with 30 days age seedlings produced significantly higher values of plant growth parameters and pigeon pea grain yield (2515 kg ha-1), gross returns (Rs. 1,30,780), net returns (Rs.90,990) and B:C (3.29) as compared to other planting geometry and age of seedlings.

There is an urge for traditional herbal remedies as an alternative to modern medicine in treating several ailments. Alangium salviifolium is one such plant, used traditionally to treat several diseases. In several reports, there are findings related to the use of this plant extract that demonstrate its therapeutic value. However, very few attempts have been made to identify the extensive metabolite composition of this plant. Here, we performed metabolite profiling and identification from the bark of A. salviifolium by extracting the sample in organic and aqueous solvents. The organic and aqueous extracts were fraction-collected using the Agilent 1260 Analytical Scale Fraction Collection System. Each of the fractions was analyzed on Liquid Chromatogaphy/Quadrupole Time-of-Flight LC/Q-TOF and Gas Chromatography/Quadrupole Time-of-Flight GC/instruments. The Liquid Chromatography/Mass Spectrometry (LC/MS) analyses were performed using Hydrophilic Ineraction Liquid Chromatography (HILIC), as well as reversed-phase chromatography using three separate, orthogonal reverse phase columns. Samples were analyzed using an Agilent Jet Stream (AJS) source in both positive and negative ionization modes. The compounds found were flavonoids, fatty acids, sugars, and terpenes. Eighty-one secondary metabolites were identified as having therapeutic potential. The data produced was against the METLIN database using accurate mass and/or MS/MS library matching. Compounds from Alangium that could not be identified by database or library matching were subsequently searched against the ChemSpider) database of over 30 million structures using MSMS data and Agilent MSC software.In order to identify compounds generated by GC/MS, the data were searched against the AgilentFiehn GCMS Metabolomics Library as well as the Wiley/NIST libraries.