Kamble K.,Dr. P.D.K.V. |
Kahate P.A.,Dr. P.D.K.V. |
Chavan S.D.,Dr. P.D.K.V. |
Thakare V.M.,Dr. P.D.K.V.
Veterinary World | Year: 2010
Burfi is a popular khoa based confection and it's contain considerable amount of milk solids. The manufacture of value added products by using seasonal fruit like pineapple. The present investigation shows that, the overall acceptability of the pineapple pulp Burfi prepared with 15 per cent pineapple pulp in treatment T4 (93.53) was highest and superior. Treatment T4 was more acceptable than all treatments in flavor, body texture and colour and appearance. The chemical composition of Burfi was affected due to addition of pineapple pulp to the fat, protein, total solids, moisture and ash.
Nath A.,Dr. P.D.K.V. |
Karunakar A.P.,Dr. P.D.K.V. |
Kumar A.,Dr. P.D.K.V. |
Yadav A.,G.B.P.U.A.T. |
And 2 more authors.
Ecology, Environment and Conservation | Year: 2017
Crop simulation models are valuable research tools in agricultural decision making. In order to increase its general applicability, models need to be evaluated in diverse conditions. To achieve this, the CROPGRO-Soybean model (DSSAT v 4.5) was evaluated for the diverse environment of Akola region of Vidarbha, India for the soybean cultivar JS-335, JS-9305 and TAMS 98-21. The genetic coefficients for the soybean varieties JS-335, JS-9305 and TAMS 98-21 were determined with the GLUE coefficient estimator embedded in the DSSAT v 4.5 model using data collected during the experiment. Genetic coefficients were used to simulate the response of various cultivars to weather and management conditions. The observed experimental data were compared with the model simulation results. The evaluation of the model on an overall basis revealed that the model simulation performance in respect of phenological phases was found to be highly reliable. The model predicted the seed yield reliably in JS-335 and TAMS-9821. Straw yield was overestimated to a greater degree in JS-335 and JS-9305 and reliably in TAMS 98-21. This application can be further validated more and also be useful for sensitivity analysis under climate change scenario. Copyright © EM International.
Hajong M.,Central Agricultural University |
Mane S.S.,Dr. PDKV
Research on Crops | Year: 2016
Green Stem Syndrome (GSS) is a soybean disorder in which stems remain green after pods and seeds are fully mature and ready-to-harvest. The causes of soybean GSS are not actually known. During the field survey 2013-14, GSS in soybean was found in most warm and dry season in Akola. Green stem syndrome causes several problems, including tough combining or delayed harvest due to reduced seed quality. This can also result in yield loss due to moisture and shattering. Plants affected by GSS may be distributed randomly or clustered in patches in the field. Green stem disorder directly and indirectly affects the harvesting and quality of seeds. © 2016, Gaurav Society of Agricultural Research Information Centre. All rights reserved.
Deshmukh S.B.,Dr. P.D.K.V.
Ecology, Environment and Conservation | Year: 2015
Fifty seven lines of okra including ten different genotypes along with forty five hybrids and two standard checks were evaluated in Randomized Block Design with two replication in Kharif 2011. Correlation and Path analysis were carried out to study character association and contribution for days to 50 per cent flowering, Plant height at harvest, number of branches per plant, number of nodes per plant, days to first picking, number of fruits per plant, average length of fruit, average weight of fruit, yield per plant (g), yield per plot (kg), yield per hectare (qt) and reaction to yellow vein mosaic for identification of appropriate selection indices. Genotypic and phenotypic correlation revealed that at both level fruit yield was positively associated with number of fruits, number of nodes per plant, fruit length and fruit weight. Correlation and Path analysis revealed that characters days to first picking, plant height at harvest, number of nodes per plant and number of fruits per plant not only had positive significant association with yield per plant but also had high positive direct effects on marketable yield per plant and are regarded as the main determinants of yield per plant. If selection is based on these characters then improvement in yield will be efficient. Copyright © EM International.
Deshmukh S.B.,Dr. P.D.K.V. |
Shinde S.M.,Dr. BSKKV
Ecology, Environment and Conservation | Year: 2015
Fifty seven lines of okra including ten different genotypes along with forty five hybrids and two standard checks were evaluated in Randomized Block Design with two replication in Kharif 2012. Genetic variability were carried out to study characters days to 50 per cent flowering, Plant height at harvest, number of branches per plant, number of nodes per plant, days to first picking, number of fruits per plant, average length of fruit, average weight of fruit, yield per plant (g), yield per plot(kg), yield per hectare (qt) and reaction to yellow vein mosaic for identification of appropriate selection indices. The study revealed that highest genotypic and phenotypic coefficient of variance observed for number of branches per plant, fruit length, yield per plant and reaction to yellow vein mosaic virus. Highest estimates of heritability was recorded for yield per plant followed by fruit weight and reaction to yellow vein mosaic virus. Highest genetic advance was observed for number of branches per plant followed by number of ridge per fruit, yield per plant, fruit length and reaction to yellow vein mosaic. Copyright © EM International.
Pimpale A.R.,Dr. PDKV |
Rajankar P.B.,Maharashtra Remote Sensing Application Center |
Wadatkar S.B.,Dr. PDKV |
Wanjari S.S.,Dr. PDKV |
Ramteke I.K.,Maharashtra Remote Sensing Application Center
Journal of Agrometeorology | Year: 2015
Estimation of crop coefficient (Kc) and crop evapotranspiration (ETc) using remote sensing data is essential for planning irrigation water use in arid and semiarid regions. The study was conducted to test the suitability of remotely sensed Vegetation Indices (VIs) for modeling spatial crop coefficient, choosing most appropriate vegetation index among them for modeling and applying this model to estimate water requirement of wheat. The study area consisted of wheat growing five districts situated in central Maharashtra. Images of IRS-P6, AWiFS sensor were used to generate multi temporal vegetation indices RVI, NDVI, TNDVI, SAVI and MSAVI2. The week-wise VIs were correlated with week-wise recommended wheat crop coefficients which resulted in linear relationships/models. Simple linear regression analysis showed NDVI as a superior index for predicting crop coefficients of wheat. NDVI-Kc model showed highest R² and D values of 0.895 and 0.980 respectively with lowest values of SE, RMSE and PD of 0.120, 0.113 and 4.64 respectively. The crop coefficients (Kc), obtained by this NDVI-Kc model and reference evapotranspiration (ETo), estimated by Penman- Monteith equation, were used to compute wheat crop evapotranspiration (ETc) which represents the water requirement of wheat and found varying from 378.34 mm to 439.10 mm in the study area. © 2015, Association of Agrometeorologists. All rights reserved.
Giri M.D.,Dr PDKV |
Giri M.D.,Mahatma Phule Agricultural University |
Dhonde M.B.,MPKV |
Dhonde M.B.,Mahatma Phule Agricultural University |
And 4 more authors.
Indian Journal of Agronomy | Year: 2014
A 2-years field experiment was carried out at Rahuri from 2011 to 2012 on an Inceptisol soil having 147 kg/ha available N, to study productivity, nutrient uptake and nitrogen-use efficiency of Bt. Cotton (Gossypium hirsutum L.) as affected by split and foliar application of nitrogen. In Bt. Cotton, 10 treatments comprising nitrogen-management practices (application of recommended dose of N in 3, 4, 5, 6 splits; foliar application of 20 g KNO3/litre water, 20 g urea/litre water, combination of split application of N and foliar spray of 20 g KNO3/litre water, 20 g urea/litre water and control) were tested on inceptisol. Results indicated that application of N in six splits (20% at sowing as basal and remaining in 5 equal splits at 30, 45, 60, 75 and 90 DAS) recorded significantly higher plant height, sympodial branches/plant, dry-matter/plant, bolls/plant, seed cotton yield/plant, seed cotton yield (66% more than control), higher gross, net monetary returns, benefit: cost ratio, higher uptake of nutrients (N, P and K) and higher agronomic nitrogen-use efficiency. N application in 3 equal splits (at sowing, 30 and 60 DAS + foliar application of 20 g KNO3/litre water at 60, 75 and 90 DAS) recorded significantly higher boll weight. The physiological nitrogen-use efficiency was found higher with the N application in 3 equal splits (at sowing, 30 and 60 DAS + foliar application of 20g urea/litre water at 60, 75 and 90 DAS). © 2014, Indian Society of Agronomy. All rights reserved.
Khapare L.S.,Dr. P.D.K.V. |
Dahale M.H.,Dr. P.D.K.V. |
Deshmukh L.S.,Dr. P.D.K.V. |
Bhusari R.B.,Dr. P.D.K.V.
Ecology, Environment and Conservation | Year: 2015
In order to estimate the effect of plant growth regulators on rooting in cuttings of Fig, the present investigation was conducted at "Main garden of Department of Horticulture" Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola during the year 2009-2010. For the investigation 14 treatment combinations comprising two type of cutting and six treatment of plant growth regulator with one control were used. The results of the investigation indicated that, among two types of cuttings, hardwood cutting recorded maximum root growth, percentage of rooted cuttings survival percentage of rooted cuttings and root dry matter In respect of plant growth regulators, cuttings treated with 2500 ppm IBA+2500 ppm NAA gave maximum root growth, percentage of rooted cuttings, survival percentage of rooted cuttings and root dry matter in both hardwood and semihardwood cuttings, thus fig can can be propagated by hardwood cuttings treated with 2500 ppm IBA +2500 ppm NAA. Copyright © EM International.
Deshmukh U.B.,Dr. PDKV |
Bharad S.G.,Dr. PDKV |
Chavan S.P.,Dr. PDKV |
Wagh N.S.,Dr. Panjabrao Deshmukh Agricultural University
Ecology, Environment and Conservation | Year: 2014
A field experiment was conducted in the year 2010-11 and 2011-12 to find out the effect of organic and inorganic manures on growth and yield in acid lime. The plant growth parameters in respect of plant height in both season was found maximum in the plants treated with 75% RDF (450:225:225 g NPK) + 50 kg FYM+ 500 g AM/plant + 100g PSB /plant + 200g ZnSO4/plant, (T8) While mean plant spread and plant volume was maximum with T10 75% RDF (450:225:225g NPK) + 50 kg FYM + 100g Azospirillum + 100g PSB /plant + 200g ZnSO 4/plant during both season. Yield attributing characters viz., maximum fruit set with minimum fruit drop and highest fruit yield (number of fruits per plant, kg/plant and tons/ha) were observed with the application of 75% RDF 450:225:225g NPK + 50kg FYM+100g Azospirillum + 100g PSB /Plant+200g ZnSO4/plant. (T10). Copyright © EM International.