Browsing by Author "Meena, Kamlesh"

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    Development of Functional Milk-based Smoothie by Incorporating Horse gram Extract
    (Enviro Research Publishers, 2023) Panda, Priyanka; Meena, Sunil; Meena, Kamlesh; Rai, Dinesh Chandra; Bunkar, Durga Shankar; Gautam, Priyae Brath
    In the last few decades, the demand for fruits and vegetables and mixed beverages such as juices and smoothies increased rapidly, which made it one of the highest-growing segments of the food industry. The horse gram is an underutilized crop having desired nutrient and bioactive compounds essential for growth and normal body functioning. In view of the above facts, the present study aimed to develop a milk-based smoothie by incorporating horse gram extract in addition to commonly used ingredients such as sugar, dahi, stabilizer, fruits, and vegetables. In this study, three levels of horse gram extract (HGE-5, 10, and 15%) were blended with cow milk, and other ingredients (sugar, dahi, pectin, banana, carrot juice extract) were kept constant. The 0% level of HGE was taken as a control to compare the nutritional and functional characteristics of the optimized product. The 10% HGE incorporated product was found best based on sensory and physico-chemical properties. The optimized product was found with 3.03�0.08% fat, 3.38�0.07% protein, 16.17�0.10% carbohydrate, 0.81�0.05% ash, 843.33�3.08 cp viscosity, 3.48�0.05 g/10 g whey syneresis, 12.12�0.67 g/20 g sedimentation, and 31.11 � 4.17% 2,2-dipenylpicrylhydrazyl inhibition activity. The optimized smoothie had nine days shelf life after packing in polypropylene cups when stored under refrigerated conditions. � 2023 The Author(s).
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    Effect of sowing date and inter-row annual legume green-manuring on growth, yield and quality of desi cotton (Gossypium arboreum)
    (Indian Society of Agronomy, 2022) Singh, Balwant; Meena, R.N.; Meena, Ashvin Kumar; Meena, Kamlesh; Akash, A.; Meena, R.; Kumar, Sanjay
    A field experiment was conducted during the rainy (kharif) season of 2018 at the Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, to study the effect of sowing date and inter-row annual legume green-manuring on desi cotton (Gossypium arboreum L). The experiment comprised 5 sowing dates, viz. 20 April, 5 May, 20 May, 5 June, 20 June, in main plot and 4 inter-row legume green-manuring, viz. dhaincha [Sesbania bispinosa (Jacq.) Wight], sunnhemp (Crotalaria juncea L.), clusterbean [Cyamopsis tetragonoloba (L.) Taub.] and cowpea [Vigna unguiculata (L.) Walp.] in subplot. The results indicated that, growth parameters, yield attributes and quality parameters were found maximum in desi cotton when sown on 20 April and minimum when sown on 20 June. Amongst inter-row legume green-manuring, sunnhemp resulted in significantly maximum growth, yield and quality parameters. Thus, desi cotton sown on 20 April with inter-row legume green-manuring of sunnhemp was found better for improving the growth, yield and quality. � 2022, Indian Society of Agronomy. All rights reserved.
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    Sustainability in Rainfed Maize (Zea mays L.) Production Using Choice of Corn Variety and Nitrogen Scheduling
    (MDPI, 2022) Aakash; Thakur, Narendra Singh; Singh, Manoj Kumar; Bhayal, Lalita; Meena, Kamlesh; Choudhary, Sharad Kumar; Kumawat, Narendra; Singh, Ram Kumar; Singh, Udai Pratap; Singh, Shrish Kumar; Sanodiya, Pratik; Kumar, Ajay; Singh, Anurag Kumar
    Interestingly more than 50% of the world�s area is rainfed and approximately 80% of maize is cultivated under rainfed condition where selection of cultivar and management of nitrogen have major impact on production. The aim of this study was to evaluate the growth, phenology, yield and quality parameters of maize as influenced by variety and nitrogen scheduling under rainfed condition. For this, a field experiment having two factors was laid out in a factorial randomised block design and replicated three times. The first factor was variety, i.e., V1 (JM 216) and V2 (JM 218), and the second was six nitrogen scheduling, i.e., N1 to N6, in which nitrogen splitting was done based on 30-years of average rainfall data. Variety JM 218 and N5 [40 kg N as basal followed by (fb) 2 splits of 40 kg N and 38.8 kg N at 30 and 52 days after sowing (DAS) and 1% N foliar spray at 40 DAS] nitrogen scheduling were found promising under rainfed situation because it recorded maximum value of growth parameters, yield attributes, grain yield and quality parameters (protein, mineral and dickson quality index). Thus, it can be inferred that JM 218 and N5 nitrogen schedule would be a better choice than alternative options. � 2022 by the authors. Licensee MDPI, Basel, Switzerland.