Asian Journal of Soil Science and Plant Nutrition
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    620 research outputs found

    Effect of Different Liquid Organic Manures on the Nutrient Release Pattern in Radish Grown Soil

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    The study of nutrient release patterns from various organic manures is critical for ensuring enough nutrient availability to crop plants at the right time and in the right quantity. To assess the nutrient release pattern from several organic manures, including farm yard manure, panchagavya and jeevamrutha, a field experiment was conducted at organic farming block of Zonal Agricultural Research Station, V. C. Farm, Mandya during late Kharif 2020. The experiment consists of 9 treatments including different rates of recommended dose of nitrogen was applied through FYM and one- and two-times application of panchagavya and jeevamrutha in different combinations. The experiment was laid out in a Randomized Block Design with three replications. The release pattern of available nitrogen, phosphorus, potassium, calcium, magnesium, sulphur and micronutrients in soil applied with various organic manures at various days (15, 30, 45 DAS and at harvest).  The study revealed that application of various organic manures showed substantial increase in primary (N, P and K) and secondary nutrient (S) release and there were no significant variations found in Ca, Mg, Fe, Mn, Cu and Zn release pattern. Based on the release rate of nutrients, it was found that there was consistent and stable release of N, P, K and S from 75% RDN through FYM + two time application of Panchagavya followed by 75% RDN through FYM + two time application of Jeevamrutha,  compared to other treatments

    Comprehensive Analysis of Landform and Land Use/ Land Cover Mapping of Waghora Watershed Using Sentinal-2B and SRTM-DEM Data

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    This paper aims to integrate the use of high spectral resolution a remote sensing data of Sentinel-2B imagery along with the Digital Elevation Model (DEM) derived from the SRTM stereo data to delineate the landforms and analyze the land use and land cover in Waghora watershed, Sausar tehsil, Chhindwara district, situated on basaltic terrain in northern Deccan plateau. A 30 m resolution DEM of the study area was generated, capturing terrain parameters like elevation, slope, aspect, hillshade, and drainage. Sentinel-2B (10 m) images from two seasons were collected FCC (false colour composite) and were prepared by ARCGIS software. combination of Sentinel-2B imagery, SRTM-DEM data, and ground truth verifications to delineate eight major landforms in the studied area. Slope information, extracted from high-resolution DEMs, reveals 4 distinct slope classes. The landforms, including Plateau, Escarpment, Foot Slope, Upper Pediment, Lower Pediment, Valley, Interfluve, and Mound, are characterized based on visual interpretation and geological context. Each landform exhibits unique features, elevation ranges, and dominant land use/cover types, such as single crop cultivation, forest, or degraded land. This detailed terrain analysis aids in land-use planning and environmental management initiatives. The land use/land cover analysis utilizes Sentinel-2B data to identify five classes: degraded forest, double crop, single crop, orchard, and land with and without scrubs. Dense forest dominates 24.2% of the watershed, while double crop and single crop lands cover 36.7% and 24.2% respectively. Orchards occupy a minimal 0.8% of the area, and wastelands account for 5.7%. The relationship between landforms, slope, and land use/cover reveals dominant forestation on steep escarpments, while valleys and interfluves support double cropping due to gentle slopes and depositional processesThe study elucidated connections to examine diverse biophysical phenomena. It highlights the effectiveness of employing SRTM-DEM and Sentinel-2B imagery for analyzing geomorphic characteristics and mapping land use/land cover, offering significant perspectives for land management and planning approaches

    Evaluation of Genetic Variability in Different Genotypes of Finger Millet (Eleusine coracan L.) through Path and Multivariate Analysis

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    The experiment was carried out using a Randomized Block Design (RBD) with three replicates. The trials were entirely composed of fifty-two genotypes for yield and their contributing characters for 13 different characters. For every attribute under study, an analysis of variance showed a highly significant difference. Among the genotypes studied, the evaluated characteristics showed varying degrees of heritability, genetic advancement, and variability. Both the genotypic and phenotypic coefficients of variation (PCV and GCV, respectively) ranged from low to high. The modest GCV and PCV values particular for the percentage of fingers per ear (17.47% and 17.50%), ear weight per plant (g) (13.42% and 16.28%), and 1000 seed weight (g) (11.79% and 14.09%), were observed respectively. Plant height (cm) (81.60%, 28.47) had the greatest wide sense heritability value, with the highest genetic advance, followed by ear weight per plant (g) (67.95%, 20.13). Thus, the findings of this study indicate that these genotypes have diversity in yield and other yield-related features, which should be exploited in subsequent breeding. The correlation and path coefficient analyses for yield and yield characteristics showed that grain yield per plant showed a strong positive relationship both at the genotypic and phenotypic levels, with days to 50% flowering, days to maturity, ear weight per plant, and harvest index. Path analysis exhibited that for genotypic and phenotypic coefficients, harvest index (0.33, 0.46) and ear weight/plant (0.86, 0.39) showed the most positive direct effects. These characteristics might thus be applied as selection criteria to identify finger millet genotypes that show promising results in future breeding. Multivariate approaches such as principal component analysis and cluster analysis are crucial statistical tools for examining genetic diversity in plant breeding programs, as are their significant quantitative features. Based on principal component analysis, the entire variance was provided by six main components, of which PC-1 and PC-2 contributed 21.97% and 18.32%, respectively, to the total variability. Euclidean distance was used to divide the fifty-two genotypes into five groups. The largest number of genotypes (twenty-two) in Cluster I was followed by Cluster III, with 16 genotypes. As a result, genotypes from these clusters may be used as parents for hybridization

    Recycling Selected Wetlands’ Sediments for a Vegetable Crop Cultivation in Terrestrial Ecosystem of a Humid Region

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    This study aimed to evaluate the selected wetlands\u27 sediments regarding physicochemical attributes including heavy metals (HMs), and their potentiality to be used in crop cultivation with or without mixing with different generic farmers\u27 field soils in the upland. Forty geo-referenced sediment samples were collected from each study site (n=3), and mixed to get three separate composite samples for mineral nutrients, HMs analyses and experimentation. Two pot experiments were conducted following Completely Randomized Design (CRD) with three replicates using farmers’ field soils (FFS) Gleysols and Cambisols to grow amaranth. The treatments were: T0: FFS; T1: FFS + wetland sediment of hilly area I (1:1); T2: FFS + wetland sediment of hilly area II (1:1); T3: FFS + wetland sediment of a floodplain area (1:1); T4: wetland sediment of hilly area I; T5: wetland sediment of hilly area II; T6: wetland sediment of a floodplain area. Regarding nutrient elements, exchangeable K, extractable P, Ca, and Zn were observed higher in wetland sediment of hilly area II except organic carbon (OC). Only Cd, Pb, and Ni were individually found higher than the maximum permissible addition for all wetland sediments, but all HMs collectively posed no “ecological risk”. The highest values of the plant growth index of amaranth were  observed for T5 treatment. Moreover, the highest total fresh and dry biomasses were found in T5 treatment. The highest nutrient uptake was observed in T5 treatment for the most of nutrients. Studied wetlands’ soil materials, OC, and nutrients could be used to benefit upland crop cultivation

    Effect of Liquid Nano Urea Fertilizer on Periodical Growth and Yield of Sugarcane

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    A field experiment was carried out during rabi of 2021-22 as plant crop and 2022-23 as ratoon crop, at Navsari, Gujarat. The experiment was laid out in randomized block design including treatment comprising of nitrogen levels for soil application with foliar spray of nano urea and urea in both plant-ratoon system of sugarcane. The results recorded in respect to the periodical plant height and dry matter yield (DMY) from 90 to 180 days after planting (DAP) of plant crop and days after ratooning (DAR) of ratoon crop were significantly higher with the application of 100 % RDN (T2) which was at par with treatments T3 and T4. However, at 210 DAP of plant crop and DAR of ratoon crop as well as at harvest plant height and DMY were recorded significantly higher with the application of 75% RDN + 2 spray of liquid nano urea at 90 and 180 DAP which was at par with T2 and T4. In case of No. of tillers/hill at 180 DAP of plant and DAR of ratoon crop was significantly higher when with 75% RDN + 2 spray of liquid nano urea at 90 and 180 DAP which was at par with T2 and T4. In plant crop and ratoon crop of sugarcane, millable cane yield and green top yield were found to be significant highest with the application of 75% RDN + 2 spray of liquid nano urea at 90 and 180 DAP which was at par with T2 and T4. Based on the results, it concluded that for achieving higher growth and yield in sugarcane plant-ratoon cultivation should be fertilized with 100 % of recommended P2O5 and K2O + 75 % RDN + two sprays of either liquid nano urea @ 4 ml/L or 2 % urea at 90 and 180 DAP of plant crop and DAR of ratoon crop. This application effectively replaces the 25% of recommended dose of nitrogen while matching the performance of the 100% RDN treatment

    Optimizing Nutrient Management for Pearl Millet: Insights from a Long-term Field Experiment

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    The study investigates the impact of integrated nutrient management strategies on the yield and nutrient uptake of pearl millet (Pennisetum glaucum), a vital crop in arid and semi-arid regions. Pearl millet is a significant source of dietary energy and essential nutrients for rural populations in India. However, its productivity remains low compared to other millet-producing countries. This research aims to enhance pearl millet yield through a combination of organic manures, biofertilizers, and chemical fertilizers, addressing the need for sustainable agricultural practices. The experiment was conducted at the Research Farm of Rajmata Vijayaraje Scindia Krishi Vishwavidyalaya during the kharif seasons of 2022 and 2023. Twelve treatment combinations were tested, including 100% NPK along with farmyard manure (FYM) and seed treatments with biofertilizers. Results indicated that the treatment combining 100% NPK with FYM at 10 t/ha/year and biofertilizers significantly improved biological yield, nutrient uptake, and soil organic carbon content. Specifically, the highest biological yield recorded was 8026 kg/ha, with notable increases in total nitrogen, phosphorus, and potassium uptake. This study underscores the importance of integrated nutrient management in enhancing pearl millet productivity while maintaining soil health. By adopting these practices, farmers can improve crop yields and contribute to food security in regions reliant on pearl millet. The findings provide a framework for future research and practical applications in sustainable agriculture, emphasizing the need for balanced nutrient supply systems to optimize crop performance and soil fertility

    Growth Parameter of Mung Bean (Vigna radiata L.) under Different Integrated Nutrient Management Practices in Western Uttar Pradesh, India

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    The field experiment was conducted during the summer seasons of 2022 and 2023 at the Crop Research Centre (CRC) of Sardar Vallabhbhai Patel University of Agriculture & Technology, Meerut (UP). The experiment was laid out in a Randomized Block Design with eleven treatment combinations and three replications to evaluate the effects of different treatments on the growth parameters of mung bean (Vigna radiata L.). Among the different integrated nutrient management strategies, treatment T4 (75% NPK + Vermicompost @ 0.34 t ha-1 + Rhizobium + PSB) resulted in significantly higher plant height (59.7 & 61.5 cm), number of branches per plant (4.65 & 4.75), number of trifoliate leaves per plant at 40 DAS (11.1 & 11.4), dry matter accumulation per plant (15.4 & 15.7 g), leaf area index at 40 DAS (4.9 & 5.2), and number of effective nodules per plant (43.8 & 46.4). In contrast, the lowest values for plant height (44.9 & 46.2 cm), number of branches per plant (3.0 & 3.2), number of trifoliate leaves per plant at 40 DAS (7.9 & 8.3), dry matter accumulation per plant (9.4 & 9.7 g), leaf area index at 40 DAS (2.8 & 3.0), and number of effective nodules per plant (31.3 & 33.2) were recorded in T1 (Absolute control) during both years

    Review on Inomics

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    A high-throughput elemental profiling method called ionomics is used to look at the molecular processes governing the makeup of nutrients, minerals, and trace elements in living organisms. Significant strides have been made in identifying the gene networks that govern the ionome since the ionomics concept was first introduced over 11 years ago. In this update, we provide a summary of the ionomics approach\u27s ten-year progress, which includes studying natural ionomic variation and forward genetics-based gene identification. We also go over how ionomics might be used to study how ionomic alleles work ecologically in terms of environmental adaptation

    Influence of Organic Nutrient Sources on Nutrient, Quality and Yield Parameters of Vegetable Cluster Bean

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    Aim: The experiment was taken up to study the influence of various organic nutrient sources on soil nutrient availability and their uptake and also on quality parameters of vegetable cluster bean. Place and Duration of Study: the study was conducted at irrigated wetland farms, TNAU, Coimbatore during the year 2018. Methodology:  The RBD (randomized complete block design) design was adopted and replicated thrice. The total number of treatments were 12 with various basal applications of organic manures namely farm yard manure, vermicompost, humic acid, ghanjeevamrutham and also foliar spray combinations namely panchagavya and banana pseudo stem sap. The standard recommended cultural practices of organic farming were followed for all treatments except fertilizer application and synthetic chemical use. Results: The data revealed that soil chemical properties viz., pH, EC and organic carbon were not significantly influenced by various organic nutrient sources. Significantly, higher values of N, P and K availability in soil and their uptake by cluster bean crop and crude protein content, crude fiber, ascorbic acid, moistures percentage in cluster bean pods were recorded with 100 % recommended dose of fertilizer and 2% foliar spray of TNAU pulse wonder. However, organic treatments were on par with inorganic treatments for all the nutrient, quality and yield parameters. Conclusion: Organic treatments like organic farmers practice and FYM along with Panchagavya were recommended to improve nutrient use efficiency and quality of yield, eventually to benefit farmers and complete agricultural ecosystem in terms of profit and sustainability, respectively

    Effect of Plant Growth Regulators on the Morpho-physiological and Physico-chemical Characters of Strawberry (Fragaria × ananassa Dutch.)

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    In the coastal region of Odisha, an experiment was carried out to investigate the effects of several plant growth regulators, such as auxin, cytokinin, and gibberellin on the growth, yield, and quality characteristics of strawberries. Different concentration of napthyl acetic acid (NAA), gibberellic acid (GA3) and benzyl amino purine (BAP) were taken to evaluate the changes on morpho-physiological and physico-chemical characteristics of strawberry. The investigation\u27s findings showed that strawberry plants respond favourably to the administration of plant growth regulators. Treatment GA3 at 100 ppm produced best results on generation of runners and vegetative growth. Application of NAA@ 100 ppm was found to increase various yield-attributing characteristics, such as the number of flowers, fruits per plant, the number of days taken for fruit development, and the number of days taken for the first fruiting. Treatment 75 ppm NAA produced better physico-chemical characteristics, such as total soluble solid, specific gravity, juice percentage, and length to diameter ratio of the fruits. However, GA3 75 ppm had a greater ascorbic acid concentration and acidity %

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    Asian Journal of Soil Science and Plant Nutrition
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