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Banda University of Agriculture and Technology, Banda

Banda University of Agriculture and Technology, Banda has been established as a full-fledged State University, having unique honour of being the “First Agricultural University of Bundelkhand Region”. The University was notified vide Government Order No. 301/79-V-1-10-1 (Ka) 27-2009 Lucknow and established on 2nd March 2010 under Uttar Pradesh Agriculture University Act (Sanshodhan) 1958 Gazette-Adhiniyam 2010. Initially it was named as “Manyawar Shri Kanshiram Ji University of Agriculture and Technology, Banda”, which was changed as “Banda University of Agriculture and Technology, Banda” vide Uttar Pradesh Agriculture University Act (Sanshodhan) Adhiniyam, 2014, No. 1528(2)/LXXIX-V-1-14-1(Ka)-13-2014 dated 4th December 2014. The University has been established for the development of the agriculture and allied sectors in the Uttar Pradesh on the whole and Bundelkhand region in particular. It is committed to serve the Bundelkhand region with trinity concept, i.e. complete integration of teaching, research and extension for the development of agriculture and allied sectors in order to ensure food security and enhance socio-economic status of inhabitants. State Government of Uttar Pradesh has assigned the University with the responsibilities of (a) human resource generation and development, (b) generation and perfection of technologies, and (c) their dissemination to the farmers, orchardists and dairy farmers in the Chitrakoot Dham and Jhansi divisions. The Chirtrkoot Dham Division consists of four districts, namely Banda, Chitrakoot (Karvi), Mahoba and Hamirpur whereas Jhansi Division consists of Jhansi, Lalitpur and Jalaun (Orai) districts.

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20224
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Subject: Soil Science and Agriculture Chemistry × End date: 2022 × Start date: 2022 × Thesis Type: M.Sc ×
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    ThesisItemOpen Access
    Evaluation of Site-Specific Nutrient Management Tools on Puddled Transplanted Rice Evaluation of Site-Specific Nutrient Management Tools on Puddled Transplanted Rice
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2022-08-05) Singh Suman, Anurag; MISHRA), AMIT
    A field experiment was carried out to study the nitrogen management in the semiarid region of Bundelkhand by using site-specific nutrient management tools like IRRI LCC, PAU LCC, and web tool RCM on paddy crop during Kharif 2021. The experiment was conducted on heavy texture soil at Student‟s Research Farm, College of Agriculture, Banda University of Agriculture & Technology, Banda. The experimental design was a split-plot with two main factors viz line transplanting and random transplanting, and six sub-factor site-specific nutrient management viz. Omission plot nitrogen (T1), Farmers Fertilizer Practice (T2), State Fertilizer Recommendation (T3), IRRI LCC (T4), PAU LCC (T5), and RCM (T6) with replicated thrice. The soils of experimental soil site having soil pH (8.23), electrical conductivity (1.036 dSm-1 ), organic carbon (0.34%), and available potassium (244.0 kg ha-1 ). The saving of nitrogen was observed with SSNM tools than SFR. However, the amount of nitrogen was applied through IRRI LCC 3kg higher, and PAU LCC was 10 kg higher than FFP. The minimum amount of nitrogen was applied through RCM. The overall experimental results revealed that the site-specific nutrient management tool IRRI LCC (T4) and PAU LCC (T5) had a better number of effective tillers, grains per panicle, and filled grains, thereby significantly increased the grain yield of paddy in comparison to farmers‟ fertilizer practice (T2) and State fertilizer recommendation. The RCM was also found to be superior to than FFP and SFR. The maximum B:C ratio was found with both LCC treatments viz PAU LCC and IRRI LCC (1.84),While minimum B:C ratio was recorded with FFP. The efficiency indices, agronomic efficiency was recorded with 25.87, 23.91,and 25.33 Kg grain enhancement per kg nitrogen with IRRI LCC, PAU LCC and RCM, respectively as compared to FFP (15.80 Kg grain Kg-1 ) and SFR (17.51 Kg grain Kg-1 ). The recovery efficiency of nitrogen and partial factor productivity were also recorded better with both LCC and RCM than FFP and SFR, which indicates better utilization of nitrogen in SSNM treatments. The treatments did not influence the soil properties. Hence, the study suggests the line transplanting and use of SSNM tools (IRRI LCC, PAU LCC & RCM) for the better management of nitrogen and yield maximization of transplanted rice for the Bundelkhand region. However, the results could be further verified in different rice growing location of the region.
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    ThesisItemOpen Access
    “Assessment of Spatial Variability of Soil parameters at KVK & Regional Agriculture Research Station, Belatal Mahoba.”
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh, India, 2022-07-30) Mishra, Suraj; Kumar, Deo
    The present investigation was carried out in 2021-22 with an aim to assessment of spatial variability of soil parameters at KVK and RARS Belatal Mahoba (21.82 ha), soil fertility maps using Geo statistical tools and evaluate the spatial variability of different soil parameters. The georeferenced location point soil samples were collected, processing and analysed adopting standard protocols. The data pertaining to indicated that soils of KVK and RARS Mahoba to bulk density, particle density, porosity, soil pH, electrical conductivity, organic carbon are ranged from 1.32-1.64 g cm-3 , 2.52-2.85 g cm-3 , 39.78- 49.24 %, 6.90-7.61, 0.041-0.212 dsm-1 , 0.17-0.63% with mean value of 1.55 g cm-3 , 2.72 g cm-3 , 42.95%, 7.29, 0.107 dsm-1 , 0.41%, respectively. The data pertaining to available N, P, K, S, Mn, Cu, Zn, Fe and B ranged from 162-347 kg ha-1 , 12-27 kg ha-1 , 164-370 kg ha-1 , 10-21 mg kg-1 , 12-17 mg kg-1 , 0.31-0.89 mg kg-1 , 0.23-0.78 mg kg-1 , 14-19 mg kg-1 and 0.31-0.84 mg kg-1 with mean value of 231 kg ha-1 , 19 kg ha-1 , 229 kg ha-1 , 15 mg kg-1 , 15 mg kg-1 , 0.59 mg kg-1 , 0.45 mg kg-1 , 17 mg kg-1 and 0.59 mg kg-1 , respectively. Out of total 270 samples about 59% samples are neutral and 41% samples are slightly alkaline in category. All the samples fall under non saline in nature. In aspect to organic carbon majority samples 77% were low in category, available nitrogen 80% samples were low in category, available phosphorous 93.7% samples lies under medium in category, available potassium 81% samples lies under medium in category, available sulphur 87% samples lies under medium in category, available manganese all the samples falls under high in category, available copper 99.6% near to all the samples falls under medium in category, available zinc 99.3% near to all the samples falls under low in category, available iron all the samples falls under high in category and available boron majority samples 70% lies under medium in category. Soil pH exhibited significant and positive correlation with EC (r= 0.322* ), available nitrogen (r= 0.232* ), copper (r= 0.345**) and zinc (r= 0.224* ) and negative correlated with available sulphur (r= -0.361**). Electrical conductivity exhibited significant and negative correlated with available potassium (r= -0.278**) and sulphur (r= -0.378**). Organic carbon exhibited significant and positive correlation with available nitrogen (r= 0.670**), phosphorous (r= 0.356**), potassium (r= 0.487**) and zinc (r= 0.211* ). Available nitrogen exhibited significant and positive correlation with available phosphorous (r= 0.303**), potassium (r= 0.344**) and zinc (r= 0.400**). Available phosphorous was not significantly correlated with other soil properties. Available potassium exhibited significant and positive correlation with available iron (r= 0.339**) and negative correlated with available copper (r= -0.292**). Available sulphur exhibited significant and negative correlation with available copper (r= -0.265* ). Available manganese exhibited significant and positive correlation with available zinc (r= 0.339**). Available copper was not significantly correlated with other soil properties. Available zinc exhibited significant and positive correlation with available boron (r= 0.272**). Available iron was not significantly correlated with other soil properties. The Nutrient index value (NIV) for organic carbon (1.23), available nitrogen (1.23), available zinc (1) was found in the low category, whereas nutrient index values of available phosphorus (2.06), available potassium (2.19), available sulphur (2.01), available copper (2), available boron (1.7) were found in the medium category and available manganese (3), available iron (3) were found in the high category. GIS based thematic map of soil reaction maximum 11.27 ha (51.6%) area was found of neutral soils, EC all the soils of the study area were non- saline. Predicted area of different classes in GIS based thematic map of soil organic carbon and available N showed that maximum 17.78 ha (81.5%) and 20.18 ha (92.15%) area was recorded in the low category. For available phosphorous, potassium, sulphur and boron maximum 21.6 (99%), 20.47 (93.8%), 21.73 (99.6%) and 18.65 (85.5%) area was recorded in the medium category. For available manganese and iron was recorded found all the soils of the study area were high in category. For available copper all the soils of the study area were medium in category. For available zinc all the soils of the study area were low in category
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    ThesisItemOpen Access
    Assessment of Nutrient Response in Wheat (Triticum aestivum L.) Through Nutrient Omission Technique in Bundelkhand
    (Banda University of Agriculture & Technology, Banda-210001, Uttar Pradesh India, 2022-08-29) Zulfiqar, Azra; Tiwari, J. K.
    A Field experiment “Assessment of nutrient response in wheat (Triticum aestivum L.) through nutrient omission technique in Bundelkhand” was conducted on nutrient omission technique in wheat crop to assess the effect of nutrient addition and deletion at Banda University of Agriculture and Technology, Banda. The experiment was laid out in RBD, comprising nine treatments T1- (RDF), T2- (RDF+ Nano N+ Nano Zn), T3 -Nano N Omitted + (N,P, K, S) + Nano Zn, T4 -Nano Zn Omitted + (N,P, K, S) + Nano N, T5- N Omitted ( P, K, S, Zn), T6 -P Omitted (N, K, S, Zn), T7 -K Omitted (N, P, S, Zn), T8 -S Omitted (N, P, K, Zn), T9 -Zn Omitted (N, P, K, S), with three replications. Effect of nutrient addition and deletion were evaluated on growth, yield attributes and yield of wheat crop cv K-1317. T2 (RDF+ Foliar spray of Nano N and Nano Zn) treatment recorded over all best plant height, tiller per square meter, dry matter, spikes per square meter, number of grain per ear, test weight, grain yield , straw yield and biological yield including harvest index. N, P, K, S and Zn content and uptake also recorded highest in T2 RDF+ Foliar spray of Nano N and Nano Zn) treatment. Protein content, partial factor productivity and nutrient use efficiency were high in T2- (RDF+ Nano N+ Nano Zn) treatment followed by T4- Nano Zn Omitted + (N,P, K, S) + Nano N treatment , T3 - (Nano N Omitted + (N,P, K, S) + Nano Zn) treatment and T1 (RDF) treatment. Gross return, net return and B: C ratio were found maximum in T2 treatment followed by T4- Nano Zn Omitted + (N,P, K, S) + Nano N treatment, T3- Nano N Omitted + (N,P, K, S) + Nano Zn) treatment and T1 (RDF) treatment, respectively. Overall nitrogen omission T5 N Omitted (P, K, S, Zn) treatment was found most limiting factor in this investigation, followed by P, K, S and Zn were found limiting in decreasing order. This experiment of nutrient addition and omission technique reveals that basal application of RDF with foliar application of Nano N and Nano Zn was more effective and remunerative in wheat crop cv K-1317 while omission of nutrients results negative effect
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    ThesisItemOpen Access
    SPATIAL VARIABILITY OF MICRONUTRIENTS AND SULPHUR IN A MINOR LIFT CANAL COMMAND AREAOF BUNDELKHAND (U.P.)
    (Banda University of Agriculture & Technology, Banda- 210001,Uttar Pradesh, India, 2022-07-29) Syed, Saniya; Chaubey, A.K.
    The present investigation was carried out in 2020-22 with an aim to assess the soil micronutrients and sulphur fertility status, to prepare soil fertility maps using GIS and to evaluate the spatial variability of different soil micronutrient and Sulphur. The investigation was carried out in the village Kanwara which included almost command area of the minor lift canal in district Banda of Bundelkhand. Out of total (1090 ha) area as per the data of irrigation department, the main irrigated area up to extent of 545.64 ha from the middle and head end of the command area. A systematic set of georeferenced collected soil samples based on topography, soil type of minor lift canal command area of district Banda (U.P.), at the depth of 0-15 cm, was utilized by following the standard methods of soil analysis.The data pertaining to cationic micronutrients in the form of available iron (Fe), zinc (Zn), copper (Cu), manganese (Mn), and sulphur (S) has been grouped according to established classes of three and six critical limits. The mean values of analysed soil samples were 6.61 ± 1.59 (varied from 1.63 to 9.63) mg kg-1 , 5.15 ± 1.82 (varied from 1.96 to 11.43) mg kg-1 , 0.77 ± 0.68 (varied from 0.17 to 9.56) mg kg-1 , 0.44 ± 0.12 (varied from 0.16 to 0.81) mg kg-1 and 14.80 ± 5.42 (varied from 3.69 to 32.67) mg kg-1 for available iron (Fe), zinc (Zn), copper (Cu), manganese (Mn), and sulphur (S). The coefficient of variation was 24.05, 88.31, 35.33, 27.27 and 36.62 percent respectively, for available iron (Fe), zinc (Zn), copper (Cu), manganese (Mn) and sulphur (S), showing the soil variations in analysed samples in the order Zn>S>Cu>Mn>Fe in the Kanwara minor lift canal command area. The maximum numbers of soil samples of Fe, Zn and Mn were found in the medium range of their respective critical limit occupying 179 (84.8 %), 103 (48.8%) &149 (70.6%) whereas only 20 (9.48%), 75 (35.55%) & 34 (16.11%) in low and 12(5.69%), 33 (15.64) and 28(13.27 %) in high critical limit, showing more representation from medium to low fertility and augmenting its deficiency in study area. The most of the soil values of available copper content fitted into the high category (64.3%) followed by the medium (34.1%). A maximum 99(46.9%) soil samples of sulphur fell into the medium range category trailed by 79 (37.4%) into the high category. It was found that 62.2%, 35.7%, 33.1%, 9.5% and 8.1% samples out of 211 were found deficient (comprising acute deficient and deficient) in available S, Zn, Cu, Fe and Mn, respectively as per newly evolved six critical limits. All evaluated soil parameters (available iron, manganese, zinc, copper and sulphur) showed a positive and highly significant (1% level of significance) correlation with organic carbon and negative correlation with pH in a highly significant manner, except for copper, which exhibited only a significant correlation. Examination of GIS based interpolated map predicted maximum area in medium critical limit 545.64 ha (100 %), 412.75 (75.7%), 395.68 (72.6%), 419.25(76.83%) for Fe, Zn, Mn & S, respectively except for Cu, that occupied 545.64 ha (100 %) in high critical limit. It was found that 20.4 & 76.9 7% samples were deficient (comprising acute deficient and deficient) in the interpolated maps of available Zn and S respectively, as per newly evolved six critical limits. Majority of the area were predicted in latent deficient critical limit 62.5%, 70.69%, 72.6% and 100% for Fe, Zn, Mn and Cu except S occupying maximum area (76.9 %) in deficient critical limit.