International Journal of Plant & Soil Science

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EISSN : 2320-7035
Published by: Sciencedomain International (10.9734)
Total articles ≅ 2,409
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Kamlesh Meena, , Shamsher Singh, Ajay Tiwari
International Journal of Plant & Soil Science pp 764-771; https://doi.org/10.9734/ijpss/2022/v34i232487

Abstract:
Aims: The production of pigeon pea is lower than the other pulse crops due to non-adoption of recommended high-yielding varieties and advanced technologies by the farming community in the eastern plains of Uttar Pradesh. To replace this anomalous, we conducted 152 front-line demonstrations (FLDs) at farmers' fields in various adopted villages by Krishi Vigyan Kendra, Deoria. Place and Duration of Study: The study was carried out by the Krishi Vigyan Kendra, Malhana, Deoria, under the Indian Institute of Vegetable Research, Varanasi, UP. A total of 90, 12 and 50 FLDs were conducted sown on ridge method with three varieties of pigeon pea (Narendra Arhar 1, Pusa Bahar and Narendra Arhar 2) from 2014-15 to 2018-19 respectively. Methodology: Conducted 152 front-line demonstrations (FLDs) at farmers' fields in various adopted villages by Krishi Vigyan Kendra, Deoria. Cultivation practices comprised under FLD viz. improved varieties, sowing methods, irrigation, date of sowing, seed treatment, spacing, balance use of fertilizers, intercultural operations, and plant protection measures etc. Results: Showed an increase in yield of pigeon pea varieties sown on ridge from 4.76–39.20% over traditional cultivation practices. As presented in Fig. 3, the technology gap was highest in Narendra Arhar 1 (1680 kg/ha) during 2016-17 and lowest in Narendra Arhar 2 (340 kg/ha) during 2018-19. The analysis of data for extension gap showed that Narendra Arhar 2 had the highest gap (540 kg/ha) during 2017-18 and Narendra Arhar 1 had the lowest gap (60 kg/ha) during 2016-17. The technology index was highest (56%) in Narendra Arhar 1 in 2016-17 and lowest (15%) in Narendra Arhar 2 in 2018-19. Conclusion: The lower the value of the technology index, the more feasible the technology is in the eastern plains of UP.
Sanjeev,
International Journal of Plant & Soil Science pp 772-782; https://doi.org/10.9734/ijpss/2022/v34i232488

Abstract:
Recently Hybrid model approach has led to a tremendous surge in many domains of science and engineering. In this study, we present the advantage of ANN to improve time series forecasting precision. The Autoregressive Integrated Moving Average (ARIMA) and Artificial Neural Network (ANN) models are used to separately recognize the linear and nonlinear components in the data set respectively. In this manner, the proposed approach tactically utilizes the unique strengths ARIMA and ANN to improve the forecasting accuracy. Our hybrid method is tested on two Yamunanagar and Panipat sugarcane time series of Haryana. Results clearly indicate that Hybrid ARIMA-ANN model was better perform than ARIMA models with smaller values of RMSE and MAPE for both districts.
, Dibyendu Chatterjee, Bidyut C. Deka, Kalpana H. Kamble, V. K. Mishra
International Journal of Plant & Soil Science pp 754-763; https://doi.org/10.9734/ijpss/2022/v34i232486

Abstract:
The shifting cultivation practice is the predominant land use system of Nagaland, India, and Wokha district in particular. In general, there are four different forms of land use: forest, shifting cultivation, cultivated fallow, and wet terrace rice cultivation. In the Wokha district, a study was conducted in the year 2015 to evaluate the variability in soil characteristics among four different land use systems and to map their spatial distribution. A total of 381 soil samples were collected and tested for six soil fertility parameters; clay, pH, soil organic carbon, available nitrogen (N), phosphorus (P) and potassium (K). The results showed that all of the soils were very acidic in nature; however the mean value of soil pH was substantially higher in the shifting cultivation system. Soil organic carbon concentrations ranged from high to very high across all land use systems. Average soil organic carbon content was highest in the forest, followed by cultivated fallow, shifting, and wet terrace rice cultivation (WTRC) systems, whereas available N content was very low to low. The P concentration of the soil was very low in the WTRC system and low in the other systems. Soil K concentration was high in shifting (361.95 kg/ha), cultivated fallow (312.4 kg/ha), forest (309.73 kg/ha), and low in WTRC (166.975 kg/ha) land use systems. Available N, P and K deficiency was found in 93.8%, 72.2%, and 32.9% of soil samples, respectively. Soil organic carbon correlated positively with K and significantly positively with N. Soil pH correlated negatively with clay content and positively but non-significantly with P. The generated maps might be used to assist farmers in identifying the expected nutrient levels in their areas and encourage them to change their crop management practices to improve crop yield and profitability. Due to soil acidity, higher SOC, lower N and P, and higher potassium content, suitable acid loving crops, higher N and phosphorus fertilization, and some commercially advantageous potassium responsive crops may be encouraged in farming practices.
International Journal of Plant & Soil Science pp 735-748; https://doi.org/10.9734/ijpss/2022/v34i232484

Abstract:
Camellia oleifera Abel. is an evergreen oil-bearing tree and widely cultivated in China. Camellia oleifera oil is considered to be a healthiest edible oil. However, the lipid profile are not well studied and ultilized. In the current study, we firstly used non-targeted LC-MS/MS method to describe the lipid profiles of two C. oleifera cultivars. Stringent criteria was used to screen significantly different lipids metabolites (SDLs). By comparing CL3 with CL5, 79 SDLs in CL3 were found to be significantly up-regulated, and 61 SDLs were found to be significantly down-regulated. Correlation analysis indicated that intra-category and inter-category correlation of glycerolipids and glycerophospholipids were strong in CL3 and CL53 cultivars. Through pathway enrichment analysis, we found that the most influential pathway in two cultivars was the glycerophospholipid metabolism pathway. The present results provide essential insights into lipid composition and a basis to make better ultilization of the lipids.
, Devi Singh, V. M. Prasad, Prashant Antony
International Journal of Plant & Soil Science pp 749-753; https://doi.org/10.9734/ijpss/2022/v34i232485

Abstract:
The experiment was conducted in the horticulture Research Farm, Department of Horticulture, Naini Agricultural Institute, Sam Higginbottom University of Agriculture Technology and Sciences, Prayagraj (UP) During July 2021- October 2021. The experiment was laid out in RBD with 8 Treatments with 3 replications. The results revealed that T2 – (Pusa cherry + Two stem) flowering (30.3 days), days to first fruit picking (68.3 days) and maximum number of flowers per cluster (17.4), number of fruit set per cluster (14.4), fruit yield per plant (3.7 kg), fruit yield per 100m2 (16.3 q), Vitamin-C (22.6), TSS (7.2) and also maximum Benefit cost ratio (1:4).
, K. M. Gediya, M. K. Rathwa
International Journal of Plant & Soil Science pp 718-725; https://doi.org/10.9734/ijpss/2022/v34i232482

Abstract:
The present research work entitled “Quality parameters as influenced by different integrated nutrient management of rustica tobacco (Nicotiana rustica L.) and its residual impact on succeeding summer green gram (Vigna radiata L.) ” a field experiment was conducted during rabi and summer season of years 2020-21 and 2021-22 at Bidi Tobacco Research Station, Anand Agricultural University, Anand, Gujarat. The experimental field had an even topography with a gentle slope having good drainage and sandy loam in texture. The soil of the experimental field at 0-15 cm depth was low in organic carbon and available nitrogen, medium in available phosphorus and potassium and slightly alkaline in reaction. The ten integrated nutrient management treatments viz., T1: 100% RDF (200-00-00 kg/ha), T2: 75% RDF + 25% N from FYM, T3: 75% RDF + 25% N from poultry manure, T4: 75% RDF + 25% N from castor cake, T5: 50% RDF + 50% N from FYM, T6: 50% RDF + 50% N from poultry manure, T7: 50% RDF + 50% N from castor cake, T8: 50% RDF + 25% N from FYM + Azotobacter, T9: 50% RDF + 25% N from poultry manure + Azotobacter, T10: 50% RDF + 25% N from castor cake + Azotobacter were tested in Randomized Block Design with four replications. Rustica tobacco variety GCT 3 was considered as main rabi crop and green gram variety GAM 5 was considered as summer residual crop. The experiment was conducted on the same site during both the years without changing randomization of treatments. Results of the experiment showed that quality parameters viz. nicotine content was found significant due to various integrated nutrient management during both the years (2020-21 and 2021-22) in pooled analysis, while reducing sugar and chloride content was found non-significant during both the years (2020-21 and 2021-22) but significant result was observed in pooled analysis due different integrated nutrient management in both quality parameters under application of 75% RDF + 25% N from poultry manure (T3). In case of residual summer green gram protein content in seed and protein yield exerted significant result due to various integrated nutrient management during the years 2021, 2022 and in pooled analysis under application of 50% RDF + 50% N from FYM (T5). Interaction effect (Y x T) was found non-significant on all the growth parameters during the experiment.
, Gaibriyal M. Lal, G. Roopa Lavanya, C. Yajavathi
International Journal of Plant & Soil Science pp 726-734; https://doi.org/10.9734/ijpss/2022/v34i232483

Abstract:
The current study was designed to estimate correlation coefficients and investigate the direct and indirect effects of various yield contributing traits on seed yield in twenty greengram genotypes. The experiment was carried out during Kharif 2021 in a randomized block design with three replications. Correlation studies among the characters revealed that seed yield per plant has highly positive and significant association with characters like plant height, days to 50% flowering, days to maturity, number of primary branches, number of clusters per plant, number of pods per plant, no. of seeds per pod, pod length, biological yield per plant, harvest index both at phenotypic and genotypic levels, depicting that these are important yield contributing traits. Path coefficient analysis of various quantitative traits indicated that the number of seeds per pod, biological yield per plant, harvest index and seed index had the positive direct effect on seed yield per plant followed by plant height and number of primary branches exhibited the negative direct effect on seed yield per plant in greengram. Their correlation with seed yield was likewise noteworthy and favourable, demonstrating a real and flawless correlation between these features. Therefore, identifying high-yielding genotypes from a population with substantial segregation would be aided by direct selection for these traits.
Nikita Singh, Ramawatar Meena, Kamlesh Meena, Nitu Patle, Rajneesh Srivastava, Pavan Singh
International Journal of Plant & Soil Science pp 711-717; https://doi.org/10.9734/ijpss/2022/v34i232481

Abstract:
The investigation conducted at the laboratory of Rajiv Gandhi South Campus, Banaras Hindu University, Barkachha; Mirzapur during the year 2021-22. The objective of this study was to characterize the physicochemical properties and macro-nutrient availability of orchard soil depth under (0–15, 15-30, 30-60, 60-90 cm) of different blocks of Chhindwara District, Madhya Pradesh. By using GPS camera, 52 soil samples was collected from different orchard of different blocks of district. The physical and chemical properties of soil were critically analyzed. The pH of orchard soil was found slightly acidic to alkaline in nature. Total soluble salts were found less than 1dSm-1 . Organic carbon was observed high in upper surface (0-15 cm) and decreased with the increasing depth of the profile. Bulk density (1.28 – 1.97 Mg m3) and particle densities (2.49 – 2.65 Mg m3) were found in normal ranged for all the layers. The samples were found under low water holding capacity (30.87-65.24%) of all the orchards. Nitrogen was observed in low (110.30 kg ha-1) to medium (468.28 kg ha-1) range in the different layers (0-15, 15-30, 30-60, 60-90cm). Phosphorus and sulphur content were found medium (8.56-11.78 kg ha-1 and 10.6-13.9 kg ha-1) in surface layer and low (7.10 – 10.65 and 8.4-12.7 kg ha-1) for sub-surface layers. Available potassium was determined in high range (224.0-378.8 kg ha-1) for all the layers (0-15, 15-30, 30-60, 60-90 cm).
Nihar A. Patel, R. M. Mangroliya, Y. G. Desai, J. J. Patel, B. R. Gondaliya
International Journal of Plant & Soil Science pp 704-710; https://doi.org/10.9734/ijpss/2022/v34i232480

Abstract:
The present experiment was conducted during winter 2021-22 at Polytechnic in Horticulture, ASPEE College of Horticulture and Forestry, Navsari Agricultural University, Paria, Gujarat, India to study the effect of different type of mulches on soil properties and weed control efficiency in cauliflower var. Pusa Snowball K-1. The experiment was laid out in Randomized Block Design (RBD) with three replications and nine treatments viz., T1- Black polyethylene mulch, T2- Silver polyethylene mulch, T3- Red polyethylene mulch, T4- Silver black polyethylene mulch, T5- White polyethylene mulch, T6- Paddy straw mulch (10 t ha-1), T7- Sugarcane trash (10 t ha-1), T8- Farmer’s practice (Two hand weeding with flood irrigation) and T9- Control (No mulch). The study revealed that the black polyethylene mulch had a positive impact on soil properties and weed control efficiency in cauliflower var. Pusa Snowball K-1. Black polyethylene mulch (T1) recorded maximum soil temperature (32.70 °C, 32.33 °C, 29.86 °C, 27.93 °C, 27.73 °C, 31.70 °C and 33.93 °C) and soil moisture content (23.65 %, 22.60 %, 20.98 %, 22.26 %, 21.55 %, 20.65 % and 22.46 %) at 15, 30, 45, 60, 75, 90 and 105 DATP, respectively. The highest weed control efficiency (97.26 %) was also recorded by black polyethylene mulch (T1) among the all treatments.
Balkrishna Namdeo, H. S. Kushwaha, Dig Vijay Dubey, , Neelash Patel
International Journal of Plant & Soil Science pp 671-679; https://doi.org/10.9734/ijpss/2022/v34i232474

Abstract:
A field experiment was conducted to evaluate the role of intercrops in respect of weed suppression and chemical methods for effective weed control in pigeon pea and green gram based intercropping systems.The aim of this stydy to assess the most suitable weed management practices for pigeonpea + green gram intercropping system.Results revealed that the relative density of dicot weeds was lower than the relative weed density of monocot weeds and did not show any significant effect on weed dynamics of pigeon pea and green gram based intercropping systems whereas, the application of Pendimethelin @ 1.0 kg ai + Imazethapyr @0.1 kg ai/ha significantly minimum weed density, weed dry weight and maximum weed control efficiency recoreded compared to weedy plot at 25, 50 and 75 days after sowing (DAS). This might be due to reduction in weed competition.
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