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  • ThesisItemOpen Access
    Studies on epidemiology and management of yellow vein mosaic virus disease of okra (Abelmoschus esculentus L. Moench)
    (CCSHAU, 2019) Pankaj; Vinod Kumar
    The present study entitled, “Studies on epidemiology and management of yellow vein mosaic virus disease of okra (Abelmoschus esculentus L. Moench)” was conducted during the kharif 2018 at research farm, Department of Plant Pathology, Chaudhary Charan Singh Haryana Agricultural University, Hisar. Okra yellow vein mosaic virus disease is a devastating viral disease which has a wide occurrence and causes considerable yield losses quantitatively and qualitatively. The viral disease can appear at all stages of crop growth depending upon favorable conditions. Environmental factors play important role in sustaining whitefly population and disease development. It was observed that whitefly population builds up started in month of July and reached to maximum in first week of October. The whitefly population and percent disease index (PDI) was observed maximum in first week of October due to prevailing favourable weather conditions, i.e. maximum temperature 34±2 °C minimum temperature 23±2 °C, morning relative humidity more than 90 per, wind speed about 3 km/h, more sunshine hours and no rainfall. The average whitefly population was maximum on Pusa Sawani (6.54) followed by Pusa A4 (5.27) and Varsha Uphar (3.78). All three cultivars had positive significant correlation with bright sunshine hours while morning relative humidity and maximum temperature was recorded positively non-significant. However, evening relative humidity, wind speed and rainfall was negatively (non-significant) correlated, while minimum temperature was recorded negatively significant with whitefly population. The maximum and minimum temperature, evening relative humidity, wind speed, and total rainfall were negatively correlated with OYVMV disease where morning relative humidity and bright sunshine hours were found positively correlated. The highly significant positive correlation was found between whitefly population and disease severity. The terminal PDI was observed highest in Pusa Sawani (73.00 %) cultivar and lowest in Varsha Uphar (18.75 %). The maximum PDI and disease incidence was observed in 14 July sown crop with wider row to row spacing while minimum in 15 June sown crop with closely spaced. For the management of OYVMV disease chemical, botanicals and resistance inducers were used. Amongst all foliar spray of malathion 50 EC @ 2ml/litre of water + sarpagandha leaf extract @10% was found most effective in managing the disease with PDI (15.55 %). Amongst the resistance inducers seed priming with salicylic acid @ 150 mg/litre and spray the same also found effective against OYVMV with PDI (28.89 %).
  • ThesisItemOpen Access
    Characterisation of oat (Avena sativa L.) genotypes for morphological and biochemical traits
    (CCSHAU, 2019) Pankaj; Phogat, D.S.
    Fifty six oat genotypes were evaluated for 28 morphological and biochemical traits to determine the effects and interrelationships among fodder and yield attributing traits of oats. The present investigation was conducted in randomized block design in three replications at the Research Farm of forage Section, Department of Genetics and Plant Breeding, CCS HAU, Hisar during rabi 2017-18. The high significant variation among the genotypes for all the characters at genotypic level was shown by analyses of variance. The GCV and PCV revealed high level of difference for plant height, green fodder yield, dry matter yield, number of productive tillers/plant, seed crude protein and nitrogen content indicating the effect of environment on these traits. The high heritability was recorded for 100 seed weight followed by flag leaf length. days to 50% flowering, days to maturity, leaf: stem ratio, seed yield, 100-seed weight, total soluble sugars, reducing sugars and nutrient content i.e., phosphorus, potassium, iron, magnesium and zinc. Positive and significant correlations of green fodder yield were recorded with dry matter yield, plant height, number of productive tillers/plant and total soluble sugars. Path coefficient analyses revealed that characters plant height, number of productive tillers/plant, dry matter yield and total soluble sugars had positive and direct effects on green fodder yield. The genetic diversity analysis grouped 56 oat genotypes into eight major clusters. The eleven principal components had eigen values more than one and overall explained 73.66% of the total included variability.