Loading...
![Thumbnail Image](assets/images/Collection.png)
Thesis
Browse
52 results
Search Results
ThesisItem Open Access Evaluation of some new chemical and organic amendments in rice-wheat system under sodic water irrigation(Punjab Agricultural University, Ludhiana, 2022) Harjot Kaur; O.P. ChoudharyPersistent and continuous use of sodic water for irrigation in south-western regions of Punjab has led to the development of sodicity in soils which severely impacts the physical, chemical and biological properties. The deteriorated soil health proves futile to plant growth causing yield losses and lower farm income. The problems caused by the irrigation-induced sodicity can be rectified by the amelioration of the soils using amendments. Gypsum has been popular among farmers as a source to ameliorate sodic water irrigated soils but the issue with its availability and quality has propelled the scientific community to explore the potential of some others resources such as yellow gypsum, a by-product of steel industry which can help sustain growth in sodic soil environment. Organic amendments such as farm yard manure (FYM) has been studied extensively while others like rice straw compost, rice straw (RS) and biochar (BC) are presently getting attention in terms of their utility in restoring sodic soils. A pot experiment was conducted to collate the effect of application of inorganic (yellow; YG and grey gypsum; GG) and organic amendments (FYM, rice straw compost, RS and BC) on properties of soils (loamy sand; ls and sandy clay loam; scl) irrigated with sodic water and biomass yield of crops. Soils were irrigated with different levels of RSC of irrigation water i.e. RSC 0, 5, 7.5 and 10 meq L-1 . Organic amendments, FYM @ 15 t ha-1 , Rice straw compost @ 6 t ha-1 , RS 6 t ha-1 and BC @ 4 t ha-1 were applied once before sowing of wheat whereas gypsum (both types) @ 50%GR was applied on soil basis and later with each irrigation to neutralize sodicity of water. Individual effect of these amendments was studied through 56 treatment combinations in completely randomized design replicated three times. Results revealed decrease in biomass yield, photosynthetic activity, stomatal conductance and uptake of Ca, Mg and K on irrigation with sodic water in wheat and rice crop whereas uptake of Na and proline content increased. With regard to soil properties, irrigation with sodic water increased pH, sodium adsorption ratio (SAR) (higher in scl), exchangeable sodium percentage (ESP) (higher in ls), and bulk density (BD) but decreased microbial biomass carbon (MBC) and mean weight diameter (MWD). Upon application of gypsum (both types), decrease in pH, SAR and ESP was observed along with significant improvement in biomass yield and other soil properties such as MBC and MWD. Among the organic amendments, BC reduced uptake of Na whereas rice straw compost and FYM gave promising results in restoration of soil properties and biomass yield in both the crops. Further, field studies need to be conducted to evaluate the restorative effect of yellow gypsum vis-à-vis grey (mined) gypsum and it combined application along with the organic amendments in soils receiving sodic water irrigation.ThesisItem Embargo Estimation of irrigation water requirement of wheat in rice-wheat system in Ludhiana district of Punjab using geo-spatial technologies(Punjab Agricultural University, 2022) Vullaganti, Niharika; Vashisht, B.B.One of the major global concerns is increasing population. With increase in the population, a proportional increase in food and water requirements is seen. To meet the increasing food requirements, the crop productivity should be increased with the limited resources available. Recent studies stated that there is a notable amount of water being lost in the form of excessive irrigation and ground water depletion. To tackle these problems and conserve water, improving water use efficiency is one of the best ways. Irrigation scheduling can play a crucial role in reducing wastage of water in agriculture. To schedule irrigation, evapotranspiration need to be estimated. This study aims to estimate evapotranspiration of wheat crop in Ludhiana district using geo spatial technologies. Evapotranspiration (ET) of the crop was estimated using satellite and meteorological data. Reference evapotranspiration was estimated with ETo calculator using climatic parameters like mean temperature, rainfall, relative humidity and wind speed as inputs to calculate reference evapotranspiration. Monthly evapotranspiration data obtained from satellite data was represented in ET maps generated using ArcGIS. The monthly ET maps were combined to form a seasonal evapotranspiration map. ET increased with the vegetative growth from November to February and decreased as the crop reached its maturity during March and April. Various factors like climatic parameters, crop and soil characteristics effect the evapotranspiration. Crop coefficient was estimated to represent the crop characteristics at a particular area at a particular period of time. It was calculated as the ratio of crop evapotranspiration and reference evapotranspiration. Crop coefficient were low during initial growth stages, increased during mid season and again decreased during later stages of crop growth. Irrigation water requirement of the crop was estimated by deducting the effective rainfall from evapotranspiration. Mapping of the crop coefficient, evapotranspiration and irrigation water requirement enabled to represent their spatial and temporal variation within the study area. This would help the farmers to easily identify the water requirement of the crop in their localities and irrigate the crop accordingly.ThesisItem Embargo Effect of iron and zinc application on growth of clonal eucalyptus in soils of three textures(Punjab Agricultural University, 2022) Simarjit Kaur; Baljit SinghA pot experiment was conducted to study how Fe and Zn affect clonal eucalyptus growth, biomass output and their uptake, as well as how eucalyptus responds to application of Fe and Zn in soils of different textures. The treatments included eight levels of Fe (0, 15, 30, 45, 60 and 75 mg kg-1 applied as chelated Fe, and 0.5% and 1% spray through ferrous sulphate) in one experiment and eight levels of Zn (0, 5, 10, 15, 20, 25, 30 and 35 mg kg-1 applied through ZnSO4.H2O) in the other experiment in a CRD replicated thrice in soils of three textures (loamy sand, sandy loam and sandy clay). The growth parameters, dry weight of shoots and roots, concentration of Fe and Zn and their uptake by leaves, stem+branches and roots of eucalyptus differ significantly among soils and followed the order: sandy clay>sandy loam>loamy sand. Dry weight of root and leaves and SPAD reading of leaves were highest at 45 mg Fe kg-1 whereas uptake of Fe by stem+branches and root was highest at 60 mg Fe kg-1. The highest plant height, collar diameter, dry weight of shoot, concentration in leaves and uptake of Fe by leaves and shoot was observed with 1% spray of Fe. With application of Zn, plant height, collar diameter, dry weight of root and shoot, SPAD readings of leaves, Zn uptake by leaves, stem+branches and shoot increased significantly and highest was observed at 15 mg Zn kg-1. Loamy sand soil exhibited highest shoot biomass and uptake response to applied Fe and Zn by eucalyptus.ThesisItem Restricted Characterization of groundwater quality for irrigation in different blocks of district Bathinda(Punjab Agricultural University, 2022) Kirandeep Kaur; Sekhon, K. S.This study was conducted to characterize the groundwater quality of Bathinda district of Punjab, India for irrigation purpose. A total of 367 water samples were collected from the running tubewells from the seven blocks viz. Bhagta Bhai Ka, Phul, Nathana, Rampura, Goniana, Maur and Bathinda out of nine blocks of district Bathinda in June-July 2021. The geo-tagged groundwater samples were analysed for pH, EC, major ions and As. Based on these parameters, various water quality indices like sodium adsorption ratio (SAR), residual sodium carbonate (RSC), %Na, magnesium adsorption ratio (MAR), Kelly’s ratio (KR), CAI1, CAI2, total hardness (TH), total dissolved solids (TDS), r1, r2, corrosivity ratio (CR) and permeability index (PI) were also calculated. According to PAU classification of EC and RSC, in overall Bathinda district (based on seven blocks) as per EC, 58.3%, 37.1% and 4.6% of groundwater samples belong to fit, marginal and unfit category, respectively and as per RSC, 74.1%, 17.2% and 8.7% of samples belong to fit, marginal and unfit category, respectively. On the basis both EC and RSC together as per PAU classification 42.2%, 45.3% and 12.5% of samples are grouped under fit, marginal and unfit category, respectively for irrigation purpose in Bathinda district. Based on USSL (1954) classification, 4.1%, 60.8% and 34.6% of samples fall under C2, C3 and C4 category of EC; and 55.9%, 15.8%, and 28.3% of samples belong to fit, marginal and unfit category of RSC, respectively. In Wilcox diagram, most of the analysed samples fall under permissible to doubtful category and doubtful to unsuitable category and in USSL diagram, maximum groundwater samples fall under C3S2 and C4S3 category. The analysis's findings revealed that the groundwater samples fall in rock dominance and evaporation zone as indicated by Gibbs diagram, Piper diagram shows that the maximum samples of the area fall in Na-Cl type of groundwater category, whereas, as per scatter diagrams, silicate weathering and direct ion exchange process was dominant in the area. The irrigation water quality maps based on USSL classification of EC, RSC, SAR and both EC and RSC together were prepared for seven blocks of district Bathinda with the help of GIS techniques. This study thus concludes that as the groundwater of studied area was varying in water quality, therefore periodic monitoring is required to assess the water quality for its long-term use in agricultural production.ThesisItem Embargo Residue mulch, tillage and irrigation effects on crop and water productivity of pigeonpea-wheat cropping system(Punjab Agricultural University, 2022) Satinder Singh; K.B. SinghA two-year field experiment on effect of variable irrigation regimes, crop residue mulch and tillage treatments on pigen pea was conducted in loamy sand and sandy loam soil at research farm of Department of Soil Science. The treatments were combination of three irrigation regimes of 0, 0.2 and 0.4 (based on IW/ Pan-E ratios) in main plots, tillage practises (conventional (CT) and deep tillage (DT)) and two rice straw mulch rates (0 and 6 t ha-1) in sub plots. Irrigation regime I2, Soil temperature recorded under I2 was lower than I1 and I0 irrigation regime. Rice straw mulch and CT reduced soil temperature at 0.5 m depth during both years. Frequent irrigation (I2) with mulching recorded higher periodic soil moisture content and storage than limited irrigation regimes without mulch. Leaf water potential, relative leaf water content, soil plant analysis development (SPAD), normalized difference vegetation index (NDVI), leaf area index (LAI) , periodic biomass and plant height were significantly higher in I2 compared to I1 and I0, in DT compared to CT and in mulching compared to no mulch. With I2, DT and mulching significantly higher pigeon pea grain and stover yield were recorded as compared to I1 and I0, CT and no mulch. In grain and stover yield significant intercations were observed between irrigation x mulch, tillage x mulch and irrigation x tillage x mulch. The residual effect of different treatments imposed in pigeon pea on yield and yield attributing of wheat were non significant. The simulated seasonal water balance in pigeon pea was in proximate agreement with observed values for irrigation regimes, tillage and mulching treatments. Good coefficient of determination between simulated and predicted values of LAI, biomass and evapotranspiration indicated that the DSSAT (CROPGRO) model simulations were satisfactory.ThesisItem Restricted Nitrogen mineralization and soil carbon pools as influenced by spacings in Burma dek (Melia composita Willd) plantation(Punjab Agricultural University, 2022) Yadveer Kaur; Baljit SinghMelia composita Willd. (Burma dek) is a potential agroforestry tree in Punjab, which improves the organic carbon (0C) and nutrient status of soil through addition of litterfall. The present study was conducted to examine the nutrient return through litterfall, seasonal variation in nitrogen pools, soil OC pools along with nutrient status under different spacings of Melia composita i.e., 5 m X3 m (Tl), 7 m X 3 m (paired row) (T2), 7 m X 3 m (T3) along with the fallow land (T4) at four depths (0-15, 15- 30, 30-45 and 45-60 cm). The plantation was in its 9 year and wheat crop was intercropped for the past 8 years. The litterfall and its nutrient return under plantation varied as T1 > T2> T3. The nutrient concentration and return through litterfall varied as K> N> Fe > P> Mn > Zn > Cu under all spacings. The seasonal NH,-N varied in order as rainy > winter > summer season whereas, NO;-N as winter > rainy > summer season in the surface soil layer. The highest total OC content was observed under T1. The highest concentration of very labile, labile, less labile and non-labile carbon was 2.36, 1.35, 1.31 and 1.95 g kg', respectively in T1 and lowest was 0.53, 0.30, 0.19 and 0.53 g kg', respectively in T4. The available N, P, K and DTPA extractable Zn, Cu, Fe, and Mn were significantly higher under plantation over control which decreased with depth.ThesisItem Embargo Estimating soil erodibility and soil aggregate stability from basic soil properties using statistical and machine learning techniques for kandi region of Punjab(Punjab Agricultural University, 2022) Manpreet Singh; Manmohanjit SinghAccelerated soil erosion in the lower Shiwalik kandi region of Punjab results in deterioration of soil physical quality. Soil aggregation and soil erodibility are important parameters indicating soil physical quality but the quantification of these parameters is complex so efforts have been done to estimate these properties from easily measurable soil characteristics by using pedo-transfer functions (PTFs). Statistical PTFs are available for estimating of these properties but they don't explainthe sufficient variability in data. Machine learning techniques may play an important role in this context. Therefore, the present study was planned to compare PTFs developed using statistical and machine learning techniques for kandi region of Punjab. The basic soil physico-chemical properties were measured across four locations with five land uses at each location at three depths and with three replications. Three data sets were prepared for these soil properties. When dataset 1, having six basic soil properties, was used for estimation of mean weight diameter (MWD), water stable aggregates (wSA) and erodibility (K), the prediction using artificial neural network (ANN) was slightly better than generalized linear model (GLM). When dataset 2, having those six basic soil properties which were having high correlation with soil structural parameters, was used for estimation of MWD, WSA and K, the prediction using GLM was slightly better than ANN. When dataset 3, having all 11l basic soil properties, was used for estimation of MWD, WSA and K, the prediction using ANN was significantly better than GLM. When using data available from literature, ANN performed better for prediction of MWD and WSA whereas GLM performed better for prediction of K. So, it may be concluded that ANN performs better for a large set of data and for a complex system having a greater number of variables whereas for small set of data and for simple system having less variables, the statistical methods perform better.ThesisItem Open Access Impact of biochar and inorganic-P fertilizer on soil phosphorus dynamics and crop(Punjab Agricultural University, Ludhiana, 2022) Jagmandeep Kaur; Mavi, Manpreet SinghOwing to its fixation in soil, phosphorus is one of the most limiting nutrients for crop productivity. Therefore, continued inputs of P to soil are necessary to sustain crop productivity. However, the non-renewable nature and cost associated with mineral P fertilizers necessitate the need to find alternate sources for sustainable P management. In this context, biochar produced upon thermochemical decomposition of biomass can serve as a viable P source. However, a clear understanding of the mechanisms affecting P availability with different biochar types and rates either applied alone or in combination with inorganic-P fertilizer levels remains elusive. Therefore, a pot and incubation study were conducted to study the impact of different biochar types and rates with or without inorganic-P fertilizer levels on crop biomass and phosphorous availability in soil with varying P status. For the pot study, low and high P status soil was amended with four rates of the maize stover biochar (0, 2, 4, and 8 t ha-1) and three levels of the inorganic-P (KH2PO4) (0, 30, and 60 mg kg-1) with wheat as a test crop. Increasing rates of biochar and inorganic-P led to a significant increase in P availability (Olsen-P, microbial biomass P, and P fractions) and crop biomass. Besides, grain yield achieved with application of 2 t ha-1 biochar alone was comparable to inorganic-P alone both with 30 and 60 mg kg-1 treatment in low and high P status soil. However, the changes in P dynamics with biochar application were more apparent in low P than the high P status soil. Furthermore, biochar (at the rate of 1%) derived from different feedstocks like maize stover (MSB), palm wood (PWB), and poultry manure (PMB) were applied in combination with two rates of inorganic-P (KH2PO4) (0 and 60 mg kg-1) to low and high P status soil for the incubation experiment. In general, a maximum increase in Olsen-P and soil P fractions was observed with PMB followed by MSB > PWB > inorganic-P. Thus, the results of the study indicated that biochar application improved the soil P availability either directly due to the release of P from biochar itself or indirectly through the decrease in P sorption of the amended soil or improved microbial biomass. Besides, an increase in organic-P and lower alkaline phosphomonoesterase activity upon biochar application indicated a slow P turnover rate in the soil. However, the increment observed in grain yield and soil P availability upon biochar application was better when applied alone rather than its co-application with the inorganic-P. Therefore, it may be concluded that biochar can serve as a suitable substitute for mineral P fertilizers for fulfilling crop P demand. However, future studies must carefully validate the potential of biochar derived from different feedstock and rates of application through long-term field trials before recommending its extensive use as a source of P in agriculture.ThesisItem Restricted Soil biological activities as influenced by integrated nutrient management in rice-wheat system(Punjab Agricultural University, 2022) Htwe, Than Nwe; Sharma, SandeepThe present investigation was carried out in a field experiment conducted during 2020-2021 under a rice-wheat system at a research farm, Department of Soil Science, Punjab Agricultural University, Ludhiana, in a split-plot design with three replications. The experiment consisted of the main plots and sub plots. Main plots contained three levels of fertilizer-N application (N0, N75, and N100) and subplots included farmyard manure @ 6 t/ acre, poultry manure @ 2.5 t/ acre, press mud @ 6 t/ acre, rice straw compost @ 2.5 t/ acre, and no manure. The results of our study revealed that grain (49.5 and 46.5 kg ha-1) and straw (106.0 and 97.4 kg ha-1) yields were significantly higher under N100 and farm yard manure. The incorporation of fertilizer-N and organic amendments (N100 and poultry manure) significantly increased soil biological activity, viz., dehydrogenase, fluorescein diacetate, alkaline phosphatase, β-glucosidase, cellulase, urease, xylanase, bacteria count, fungi count, actinomycetes count, and nitrogen fixer, respectively compared as the other treatment. In contrast, microbial biomass carbon, phenol, and peroxidase activity results were significantly higher in N100 and farm yard manure. However, the highest activity of L-asparaginase was observed in N100 and rice straw compost. Applying fertilizer-N levels and organic amendments only or in combination with inorganic fertilizer improved the physical properties like OC, WSC, available nitrogen and potassium. Furthermore, the maximum increase in available phosphorus was observed with the application of N100 and poultry manure. The studies concluded that conjoining organic manures and chemical fertilizers benefits soil biological properties, enhances soil health, and sustains crop productivity.