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A genotype is considered to be most adaptive / stable, when it registers high mean yield but show a minimum interaction with the environment. Knowledge of genotype × environment interaction and yield stability are important parameters in breeding new cultivars with improved adaptation to environmental constraints prevailing in the target environments. Therefore, an effort was made to know the genotype - environment interaction and to identify stable single cross hybrids across the environments. Eight newly synthesized single cross maize hybrids and 7 checks were evaluated in a Randomized Block Design with three replications during Rabi-2016 across three locations spread over different agro-climatic zones of Karnataka state, India. Different stability parameters as suggested by Eberhart and Russell [1] were estimated. Joint analysis of variance revealed significant differences among environments, hybrids and environments × hybrids interactions advocating the adequacy of stability analysis. Hybrids, viz., MAI 349×MAI 283, KDMI 16×BGUDI 118 were stable for days to anthesis and silking, respectively. Whereas, hybrids viz., KDMI 16×BGUDI 118, BGUDI 120×VL 109252 and MAI 283× KDMI 16 registered mean values lower than the overall mean with bi value nearer to unity and non significant S2di for anthesis silking interval. Hybrid, MAI 349×MAI 283 for plant height and cob length, KDMI 16×MAI 283 for cob length, number of kernel rows-1 and 100 grain weight, BGUDI 88×MAI 349 for cob diameter, MAI 394×BGUDI 88  for shelling % and KDMI 16×BGUDI 118 for grain yield plant-1 registered stable performance across the environments. Based on the positive and negative environmental indices, production environment at location 1 (K Block UAS, GKVK, Bengaluru), was most favorable for expression of majority of characters studied. Hybrid KDMI 16×MAI 283 was found stable across the environments for most of the characters studied.

The present investigation was conducted to evaluate the various parameters of genetic variability and nature of associations among traits affecting grain yield in 50 inbred lines of maize (Zea mays L.) at Command Area Development Authority Experimental Block, Agricultural Research Station, Bheemarayanagudi (Karnataka) during Rabi 2018. The analysis of variance revealed that highly significant differences exist among the inbred lines for all the characters except for anthesis silking interval. High heritability coupled with high genetic advance (% of mean) was observed in number of grains per row, number of grains per cob, plant height, grain yield per plant, 1000 kernel weight and grain yield (kg/ha), indicating the influence of additive gene action in controlling the traits. The important yield attributing traits viz., shelling percentage, number of grains per row and plant height showed positive association at both phenotypic and genotypic levels. At phenotypic level, the character number of grains per cob recorded highest positive direct effect on grain yield followed by shelling percentage, days to 50% anthesis and plant height. At genotypic level, the characters viz., days to 50% anthesis, number of grains per cob, shelling percentage exhibited high direct positive effect on grain yield.

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Nine yellow seeded mung (Vigna radiata L.) genotypes were evaluated along with three checks for their yield performance during three years (2007, 2010 and 2011). Pooled analysis of variance and stability analysis were performed. The genotypic (G) × environment (E) interaction and both variance due to genotypes and environment were significant. The portioning of G × E interaction into linear and non-linear components indicated that both predictable and unpredictable components shared the interaction. On the basis of stability parameters, the top yielding genotypes such as BGS-9 (605.444 Kg/Ha), Sel-4 (519.778 Kg/Ha) and China mung (567.000 Kg/Ha) exhibited high mean yield. Based on stability parameters the genotypes YM-5 (459.889 Kg/Ha), YM-8 (451.333 Kg/Ha) exhibited low mean performance along with regression value nearer to unity (bi=1) and non significant deviation from regression (S 2 di=0) indicating the high stability and wider adaptability across the three environments. The genotypes BGS-9 (605.444 Kg/Ha) and Sel-4 (519.778 Kg/Ha) exhibited high mean value and bi values (bi>1) and non significant deviation (S 2 di < 0) value indicating adapted for high performance environments (These genotypes are sensitive to environments and give maximum yield when inputs are not limited).

The web page recommenders predict and recommend the web pages to the users based on the behavior of their search history. The web page recommender system analyzes the semantics of the navigation by the user and predicts the related web pages for the user. Various recommender systems have been developed in the literature for the web page recommendation. In the first work, a web page recommendation system was developed using weighted sequential pattern mining and Wu and Li Index Fuzzy clustering (WLI-FC) algorithm. In this work, the Chronological based Dragonfly Algorithm (Chronological-DA) is proposed for recommending the webpage to the users. The proposed Chronological-DA algorithm includes the concept of the chronological for recommending the webpage based on the history of pages visited by the users. Also, the proposed recommendation system uses the concept of Laplacian correction for defining the recommendation probability. Simulation of the proposed webpage recommendation system with the chronological-DA uses the standard CTI and the MSNBC database for the experimentation, and the experimental results prove that the proposed scheme has better values of 1, 0.964, and 0.973 for precision, recall, and F-measure respectively.

An field experiment were conducted at ZAHRS, UAHS, Shivamogga, during summer 2018 to know the effect of biochar and Farm Yard Manure (FYM) on soil properties. The experiment was planned in Randomized Complete Block Design (RCBD) with 16 treatments consisting of four levels of biochar at 2, 4, 6 and 8 t ha-1 and two levels of FYM at 5 and 10 t ha-1 which were applied alone and in combinations. The recommended dose of fertilizer was applied commonly to all the treatments with three replications. The result revealed that combined application of 8 t ha-1 biochar + 10 t ha-1 FYM with Recommended Dose of Fertilizer (RDF) (100:50:50 kg ha-1) to soil significantly decreased the soil Bulk density (1.30%) and Permanent wilting point (2.13%) and increased the soil porosity (50.94%), Maximum water holding capacity (37.30%), Field capacity (19.71%) and water stable aggregates (67.40%) as compared to initial soil properties of experimental site. Significantly increased the soil pH (initial acidic (5.88) to neutral at harvest (7.05)), Electrical Conductivity (EC) (0.37 dS m-1), Cation Exchange Capacity (CEC) (17.86 [cmol (p+ kg-1)]), available Nitrogen (340.24 kg ha-1), Phosphorus (79.54 kg ha-1), Potassium (252.46 kg ha-1) and Sulfur (13.55 mg kg-1). Soil Diethylene triamine penta acetic acid (DTPA) extractable micronutrients, soil enzymes and microbial biomass compared to absolute control and RDF alone treatments.