Agricultural Research Research Articles

Impact of Soil Amendments and Improved Alkaline Water on the Physico-chemical Characteristics of the Soil, the Distribution of Salt in the Soil, the Growth, and the Yield of Hybrid Cotton Grown in Sodic Soil with Drip Irrigation

The effects of ameliorated alkali water and soil amendments on the soil properties, growth, and yield of hybrid cotton in sodic soil under drip irrigation were investigated in this field experiment at Anbil Dharma lingam Agricultural College and Research Institute, Trichy, using cotton (RCH-20) as a test crop. The main-plot treatments included drip irrigation with gypsum treatment water and drip irrigation with spent wash treatment water; the sub-plot treatments included soil application of gypsum @ 50% GR (5.2 t ha-1) and a one-time soil application of distillery spent wash at 5 lakh liters ha-1. The treatment without amendments under main plot and sub-plots was used as a control. The experiment was designed in a strip-plot design with four replications. The application of additives through irrigation water or soil dramatically lowered the post-harvest soil's pH. Plots applied with wasted wash had the greatest pH reduction (M1S1) 7.81, followed by those applied with gypsum (M2S2) 7.90 and control (M3S3) 8.15. Because there was more soluble salt present in the spent wash treated plots, there was a little rise in EC. Drip irrigation with distillery spent wash (DSW) treated water and drip irrigation with gypsum treated water, respectively, resulted in ESP decreases of (M2S2) 0.97 and (M1S1) 0.61 over control. Similarly, ESP decreased by 2.63 and 1.31 when gypsum and DSW were applied to the soil, respectively, compared to the control. The organic carbon values ranged from (M3S3) 0.47 to (M2S2) 0.92 percent. In general, an increase in organic carbon content was observed in all the treatments that received amendments (Gypsum& DSW) compared to control. Salt distribution pattern conducted in treatment of distillery spent wash @ 5.0 lakh liters ha-1 significantly increased vertical depth of soil pH ranges (7.56,7.68,7.80,8.30) and decreased EC ranges (1.05,1.02,1.00,0.95) followed by horizontal line soil pH ranges (7.54,7.51,7.49,7.50) and EC ranges (1.04,1.02,1.00,1.02) at 120 DAS after application. In the experimental field recorded vertical depth of soil increased pH and decreased electrical conductivity compared to horizontal distances of soil pH and EC. The physico- chemical properties reduced in treatment one time application of DSW @ 5 lakh liters ha-1 recorded the highest physico -chemical properties followed by the treatment receiving irrigation with gypsum bed treated alkali water and lowest was recorded in the untreated alkali water irrigated through drip system in non- amended soil.

Studies on Effect of Planting Dates on Seed Quality of Onion (Allium cepa L.) in North Eastern Dry Zone of Karnataka, India

Aim: To study the effect of planting dates on seed quality of onion varieties. Study Design: Split plot design and FCRD. Place and Duration of Study: Agricultural Research Station, Hagari, University of Agricultural Sciences, Raichur (Karnataka) during Rabi 2023-24. Methodology: Two varieties as main plot with five planting dates as sub plots. Results: The results revealed that significantly highest seed germination (89.3 %), shoot length (8.97 cm), root length (7.02 cm) and seedling vigour index I and II (1428 and 1294, respectively) in D1 (1st fortnight of November). While, lowest seed germination (84.7 %), shoot length (7.65 cm), root length (6.04 cm), and seedling vigour index I and II (1250 and 1047, respectively) in D5 (1st fortnight of January). Among the varieties, Bhima super (V2) registered significantly highest seed germination (87.8 cm), shoot length (8.49 cm), root length (6.18 cm), and seedling vigour index I and II (1291 and 1116, respectively). Whereas, lowest seed germination (86.5 cm), shoot length (8.07 cm), root length (5.89 cm), and seedling vigour index I and II (1209 and 978, respectively) recorded in Bellary red (V1). Conclusion: The results of present investigation revealed that, bulbs planted during 1st fortnight of November and Bhima super were found to be superior for high quality seed production of onion.

AMMI Biplot Analysis for Stability of Grain Yield in Foxtail Millet [Setaria italica (L.) P. Beauv.] Genotypes

Background: Foxtail millet cultivation in India’s NEH region holds promise due to its adaptation to diverse environments and high-quality grain. Studying G × E interaction in this region will guide breeding programs to develop foxtail millet varieties adapted to local conditions. The objective of this study was to find out foxtail millet genotypes that produce high yield in diverse environments and to identify ideal mega-environments using additive main effects and multiplicative interaction stability model analysis. Methods: In this study, 30 genotypes were evaluated at the Research Farm of the SAS, Nagaland University, Medziphema, India. The experiment was conducted during July 2022 to May 2023 involving four different environments. Two environments were rainfed and two were irrigated with weekly intervals. The experiment was conducted in randomized complete block design (RCBD) with three replications in all the environments. Result: Genotype-environment interactions significantly influenced grain yield across four environments, while replicates were non-significant. Pooled analysis revealed significant genotypic effects and seasonal impacts. AMMI analysis revealed significant effect on environmental and genotypic influences on grain yield and explained 23.47% and 27.94% variability respectively. The AMMI model effectively decomposed the intricate genotype-environment interaction into three principal components (PC1, PC2and PC3), explaining 54.5%, 28.7%and 16.8% of the interaction variance, respectively. AMMI model exposed genotypes viz G8, G9, G21and G22 as best performer and stable. AMMI stability value revealed G10 with highest stability (ASV = 0.34) followed by G15, G7, G29, G6and G13 in decreasing order indicating their consistent performance in grain yield across different environments.

Response of Onion to Deficit Irrigation Levels at Different Growth Stages on Yield and Water Productivity

The Ethiopian vegetable sub-sector, particularly onion, is crucial for the economy due to its high productivity and ease of cultivation. However, water scarcity in arid and semi-arid regions hinders its expansion. This study conducted at Wondo Genet Agricultural Research Center aimed to investigate the impact of deficit irrigation levels at various growth stages on onion yield and water productivity. The experiment employed a split plot design with four crop growing stages and three deficit irrigation levels. Results revealed that deficit irrigation significantly affected onion growth parameters and yield components. Bulb diameter, number of leaves per plant, and total bulb yield 5.84 cm, 6.85, 23.26 t/ha, respectively, were notably influenced by deficit irrigation levels, with the highest yields observed under full irrigation. Additionally, water use efficiency varied with deficit irrigation application timing, with the highest efficiency recorded during the maturation stage. Overall, deficit irrigation during initial and maturation stages at 55% ETc application level emerged as the most viable option, ensuring sustainable crop production in water-scarce areas. These findings underscore the importance of adopting deficit irrigation strategies to optimize water use efficiency and enhance onion yield in Ethiopia's vegetable sub-sector.

Effect of Methods of Establishment and Zinc Management on Growth and Yield of Rice (Oryza sativa L.)

The field experiment was conducted at Shradhay Bhagwati Singh Agriculture Research Farm (Hajipur), Chandra Bhanu Gupta Krishi Snatkottar Mahavidyalaya, B.K.T., Lucknow (Uttar Pradesh) during Kharif (rainy) season in 2023-24. The treatment consisted of three methods of establishment (M1 – Direct seeding in lines after pre-irrigation, M2 -Broadcast of sprouted seed on puddled soil , M3 – System of Rice intensification (SRI) of (25 x 25cm) 12 days old seedling.) and five Zinc management practices (Zn0- Without zinc (control), Zn1- Zinc Sulphate ZnSo4@20kg ha-1 (Basal), Zn2- Foliar spray of Zn@0.5% at tillering and panicle initiation stage, Zn3- Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and Panicle stage, Zn4- Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage) were tested in split-plot design with 3 replications. The Experimental site was silty loam having medium organic carbon (0.70%) and available nitrogen (270 kg ha-1), phosphorous (27 kg ha-1) and Potassium (262 kg ha1). All the growth parameters, yield attributes, yield, Zinc content and uptake of Zn into grains and straw, were increased significantly with SRI method (M3) followed by direct seeding in Lines after pre-irrigation (M2). Amongst zinc management, all the growth parameters and yield attributes of rice were maximum under Seedling dipping in 2% ZnSO4+ 2 Foliar of Zn@0.5% at tillering and panicle initiation stage, followed by Seedling dipping in 2 % ZnSO4 solution+ Foliar spray of Zn@0.2% at tillering and panicle initiation stage the maximum gross income of Rs 158938.18 ha-1 was accrued with (SRI method + T4) treatment combination. However, a combination of SRI method along with T3 treatment accrued the maximum net profit of Rs 107981.21 ha-1 and benefit: cost ratio of 2.08 which was followed by a combination of SRI method along with T4 with net income of Rs 107234.99 ha-1 and benefit cost ratio of 2.07.

Impact of Maleic Hydrazide Foliar Application on In situ Germination, Seed Yield and Seed Quality Parameters in Groundnut (Arachis hypogaea L.)

In the 2023 kharif season, a field experiment was conducted at the All India Coordinated Research Project on Groundnut, Main Agricultural Research Station, University of Agricultural Sciences, Dharwad, Karnataka. The study aimed to investigate the impact of foliar application of maleic hydrazide on in situ germination, seed yield, and seed quality parameters in groundnut (cv. Dh 86). The findings indicated that foliar spray of maleic hydrazide @ 3000 ppm resulted in lower in situ germination (24.64%), higher yield attributes like pod yield per plant(9.35 g), kernel yield per plant (6.67 g), shelling percentage (71.47%), hundred seed weight(39.65 g) and sound mature kernel (96%) and lower seed quality parameters like germination (66%), root length (13.50 cm), shoot length (8.13 cm), mean seedling length(21.63 cm), seedling dry weight (332 mg) and seedling vigour index I &II (1428 & 21912) as compared to control. Indicating induction of dormancy through foliar spray of maleic hydrazide.

Transforming Farming: A Review of AI-Powered UAV Technologies in Precision Agriculture

The integration of unmanned aerial vehicles (UAVs) with artificial intelligence (AI) and machine learning (ML) has fundamentally transformed precision agriculture by enhancing efficiency, sustainability, and data-driven decision making. In this paper, we present a comprehensive overview of the integration of multispectral, hyperspectral, and thermal sensors mounted on drones with AI-driven algorithms to transform modern farms. Such technologies support crop health monitoring in real time, resource management, and automated decision making, thus improving productivity with considerably reduced resource consumption. However, limitations include high costs of operation, limited UAV battery life, and the need for highly trained operators. The novelty of this study lies in the thorough analysis and comparison of all UAV-AI integration research, along with an overview of existing related works and an analysis of the gaps. Furthermore, practical solutions to technological challenges are summarized to provide insights into precision agriculture. This paper also discusses the barriers to UAV adoption and suggests practical solutions to overcome existing limitations. Finally, this paper outlines future research directions, which will discuss advances in sensor technology, energy-efficient AI models, and how these aspects influence ethical considerations regarding the use of UAVs in agricultural research.

The LTAR Cropland Common Experiment at R. J. Cook Agronomy Farm.

Dryland agriculture in the Inland Pacific Northwest is challenged in part by rising input costs for seed, fertilizer, and agrichemicals; threats to water quality and soil health, including soil erosion, organic matter decline, acidification, compaction, and nutrient imbalances; lack of cropping system diversity; herbicide resistance; and air quality concerns from atmospheric emissions of particulate matter and greenhouse gases. Technological advances such as rapid data acquisition, artificial intelligence, cloud computing, and robotics have helped fuel innovation and discovery but have also further complicated agricultural decision-making and research. Meeting these challenges has promoted interest in (1) supporting long-term research that enables assessment of ecosystem service trade-offs and advances sustainable and regenerative approaches to agriculture, and (2) developing coproduction research approaches that actively engage decision-makers and accelerate innovation. The R. J. Cook Agronomy Farm (CAF) Long-Term Agroecosystem Research (LTAR) site established a cropping systems experiment in 2017 that contrasts prevailing (PRV) and alternative (ALT) practices at field scales over a proposed 30-year time frame. The experimental site is on the Washington State University CAF near Pullman, WA. Cropping practices include a wheat-based cropping system with wheat (Triticum aestivum L.), canola (Brassica napus, variety napus), chickpea (Cicer arietinum), and winter pea (Pisum sativum), with winter wheat produced every third year under the ALT practices of continuous no-tillage and precision applied N, compared to the PRV practice of reduced tillage (RT) and uniformly applied agrichemicals. Biophysical measurements are made at georeferenced locations that capture field-scale spatial variability at temporal intervals that follow approved methods for each agronomic and environmental metric. Research to date is assessing spatial and temporal variations in cropping system performance (e.g., crop yield, soil health, and water and air quality) for ALT versus PRV and associated tradeoffs. Future research will explore a coproduction approach with the intent of advancing discovery, innovation, and impact through collaborative stakeholder-researcher partnerships that direct and implement research priorities.

Early Modeling of the Upcoming Landsat Next Constellation for Soybean Yield Prediction Under Varying Levels of Water Availability

The upcoming Landsat Next will provide more frequent land surface observations at higher spatial and spectral resolutions that will greatly benefit the agricultural sector. Early modeling of the upcoming Landsat Next products for soybean yield prediction is essential for long-term satellite monitoring strategies. In this context, this article evaluates the contribution of Landsat Next’s improved spectral resolution for soybean yield prediction under varying levels of water availability. Ground-based hyperspectral data collected over five cropping seasons at the Brazilian Agricultural Research Corporation were resampled to Landsat Next spectral resolution. The spectral dataset (n = 384) was divided into calibration and external validation datasets and investigated using three strategies for soybean yield prediction: (1) using the reflectance from each spectral band; (2) using existing and new vegetation indices developed based on three general equations: Normalized Difference Vegetation Index (NDVI-like), Band Ratio Vegetation Index (RVI-like), and Band Difference Vegetation Index (DVI-like), replacing the traditional spectral bands by all possible combinations between two bands for index calculation; and (3) using a partial least squares regression (PLSR) model composed of all Landsat Next spectral bands, in comparison to PLSR models using Landsat OLI and Sentienel-2 MSI bands. The results show the distribution of the new spectral bands over the most prominent changes in leaf reflectance due to water deficit, particularly in the visible and shortwave infrared spectrum. (1) Band 18 (centered at 1610 nm) had the highest correlation with yield (R2 = 0.34). (2) A new vegetation index, called Normalized Difference Shortwave Vegetation Index (NDSWVI), is proposed and calculated from bands 19 and 20 (centered at 2028 and 2108 nm). NDSWVI showed the best performance (R2 = 0.37) compared to traditional existing and new vegetation indices. (3) The PLSR model gave the best results (R2 = 0.65), outperforming the Landsat OLI and Sentinel-2 MSI sensors. The improved spectral resolution of Landsat Next is expected to contribute to improved crop monitoring, especially for soybean crops in Brazil, increasing the sustainability of the production systems and strengthening food security in Brazil and globally.

Impact of Fertility Levels and Biofertilizers on Chickpea Yield, Soil Fertility and Economic Returns

A field experiment was conducted for two rabi seasons (2019-20 & 2020-21) at Regional Agricultural Research Station, Nandyala, Andhra Pradesh to study biofertilizers of PSB and inorganic fetilizers on growth, yield and quality Chickpea crop for Kurnool district of Andhra Pradesh. Afetr two years of the study, Significantly highest available soil Nitrogen (188 kg ha-1), Phosphorous (66.9 kg ha-1) and Potassium (484 kg ha-1) were recorded in treatment T8 (100% RDF + PSB in liquid form). Significantly highest chickpea yield of 2156 kg ha-1 was recorded with T8 (100% RDF + PSB (liquid form), the lowest yield was recorded with control (1839 kg ha-1). However, this treatment yielded results comparable to all treatments except the control during the two rabi seasons of 2019-20 and 2020-21. The economic evaluation of biofertilizers and chemical fertilizers application in chickpea crop revealed that maximum net returns (Rs 1,02,675) and higher B: C ratio (3.45) were obtained with application of 50% RDF plus PSB application. The present study was done to study to evaluate the influence of bio fertilizers on growth and yield of chickpea.

Research on the impact and mechanism of digital economy on China’s food production capacity

Enhancing and strengthening food production capacity has always been a top priority in agricultural research, serving as a cornerstone for ensuring national food security and stable economic development. This study, based on panel data spanning from 2011 to 2021 across 30 provinces in China, delves into the mechanism through which the digital economy impacts food production capacity. Employing a double fixed effect model, a mediation effect model, and a panel threshold model, we uncover several key findings: The digital economy significantly boosts food production capacity, with robustness tests affirming the reliability of our results. Mechanism analysis reveals that the digital economy enhances food production capacity by elevating total factor productivity and bolstering agricultural resilience. The threshold effect underscores that urbanization levels exhibit a single-threshold impact, wherein the influence of the digital economy on food production capacity intensifies upon crossing this threshold. Heterogeneity analysis reveals that the digital economy significantly boosts food production capacity in central and primary grain-producing regions, while its impact is comparatively weaker in the eastern and western regions, as well as in non-primary grain-producing areas. In summary, this research sheds light on the pivotal role of the digital economy in augmenting food production capacity, offering valuable insights into regional variations and thresholds in its impact across China.

A Fully Validated LC-MS Quantitation Method for Psychoactive Compounds Found in Native South American Plant Species

Psychoactive drugs are compounds that alter the function of the central nervous system, resulting in changes in perception, mood, cognition, and behavior. A subclass of psychoactive drugs, psychedelics, are hallucinogenic drugs that can trigger psychedelic experiences and possible changes in mental perception. The potential use of psychedelics as a therapeutic has led to an increase in clinical research focusing on the treatment of mental disorders including anxiety and depression. There are numerous species belonging to Psychotria and Banisteriopsis which have been reported to contain psychedelic and psychoactive compounds; however, there is a lack of validated analytical methods for raw plant material, which is crucial if these plants are to be commercially cultivated for medicines. This study provides a fully validated method using ultra-high performance liquid chromatography (UHPLC) coupled to mass spectrometry (MS) for the following six compounds: tryptamine, N,N-dimethyltryptamine (DMT), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), tetrahydroharmine (THH), harmaline, and harmine. The validated method was used to determine the psychoactive concentrations in Psychotria viridis, Psychotria carthagenensis, Banisteriopsis caapi, and Alicia anisopetala. Validation parameters were established; linearity (R2 = 0.988–0.999), limit of detection (LOD) (0.06–0.11 ng/mL), limit of quantitation (LOQ) (0.18–0.34 ng/mL), accuracy, precision, extraction efficiency (>98%), recovery (74.1–111.6%), and matrix effect (70.6–109%) were all evaluated. All six compounds eluted within nine minutes, with a total analysis time of 20 min including column equilibration. This method establishes a high-throughput method for the robust analysis of psychedelics which may see future use in agricultural research and industry.

AAC McMurphy field pea

AAC McMurphy is a semi-leafless, yellow cotyledonary field pea ( Pisum sativum L.) cultivar developed at Agriculture and Agri-Food Canada Lacombe Research and Development Centre, Lacombe, Alberta, Canada. It has a maturity of 90 days, one-thousand-seed weight of 246 g, and a lodging score of 2.9 on the scale of 1–9. The seed crude protein content of AAC McMurphy is 24.2%. AAC McMurphy is resistant to powdery mildew (caused by Erysiphe pisi) and moderately susceptible to mycosphaerella blight (caused by Mycosphaerella pinodes) and fusarium root rot (caused by Fusarium avenaceum).

Evaluation of Growing Media and Chemical Treatment on the Seedling Growth of High Chill Peach

The present study entitled “Evaluation of Growing Media and Dormancy Breaking Chemical on the Seedling Growth of High Chill Peach” was conducted at Dept. of Horticulture, College of Agriculture and Horticulture Research Centre, G.B.P.U.A&T, Pantnagar, Uttarakhand during the year 2022-23. The experiments were carried out in Factorial Complete Randomized Design (FCRD) with 3 replications per treatment. Under seedling growth studies, the total numbers of treatment were 16 with 2 factors comprising of four growing media (soil: sand: FYM, soil: sand: vermicompost, soil: sand: cocopeat and soil: FYM: vermicompost: cocopeat) and four chemical treatments (control, GA3 @ 500 ppm, kinetin @ 50 ppm and thiourea @ 5000 ppm). In the experiment the maximum seedling length, shoot fresh weight, shoot dry weight, root length, root fresh weight and root dry weight was recorded in soil: FYM: vermicompost: cocopeat, GA3 @ 500 ppm and interaction M4C3 (soil: FYM: vermicompost: cocopeat + GA3 @ 500ppm) while the minimum values were recorded in soil: sand: cocopeat, control and M3C1. Result from this study discovered that GA3 @ 500 ppm along with the growing media soil: FYM: vermicompost: cocopeat recorded the maximum seedling length, diameter, number of leaves, leaf area, shoot fresh weight and shoot dry weight which can be recommended for raising the rootstocks for the production of quality planting material of peach for seedling rootstock.

Assessment of Character Association in Pole Type French Bean (Phaseolus vulgaris L.) Genotypes

The present investigation was carried out at Regional Agricultural Research Station (RARS), Vijayapura during Rabi 2022-23. The experiment was laid out in Randomized Complete Block Design (RCBD) with two replications. To study the association studies in 32 pole type French bean genotypes. The correlation studies revealed that pod yield per plant was found positively and significantly associated with number of pods per plant (rg=0.668 and rp=0.620), pod length (rg= 0.526 and rp =0.431), average 10 pod weight (rg= 0.657 and rp = 0.660), number of pods per cluster (rg=0.373 and rp= 0.344) and number of clusters per plant (rg =0.365 and rp= 0.345) at both genotypic and phenotypic level. The direct selection for these traits would be rewarding for improvement of pod yield per plant in pole type French bean.

Optimizing potassium applications and harvest strategies to boost productivity of depleting alfalfa stands

AbstractRejuvenating thinning alfalfa (Medicago sativa L.) stands with additional forage species have been ineffective in boosting productivity. Research is needed to identify practical solutions to extend the life of declining alfalfa and increase forage production. A 2‐year field study at the University of Wyoming James C. Hageman Sustainable Agriculture Research and Extension Center in Lingle, WY, investigated the interaction effect of K and harvest time on thin alfalfa stands. Treatments were (a) six K rates (0, 56, 112, 168, 224, and 280 kg K2O ha−1 year−1) applied to a ∼10‐year‐old alfalfa in the fall of 2019 and after the final harvest in the fall of 2020, and (b) two harvest times (early harvest, late bud to early [10%] bloom; late harvest, 7–10 days after early harvest), arranged in a 6 × 2 factorial under random complete blocks with four replications. Results showed a higher yield response to K at 224 kg K2O ha−1 year−1 and early harvest, and at 168 kg K2O ha−1 year−1 and late harvest particularly in soils with high soil test K levels (>300 mg kg−1). Harvest timing influenced alfalfa's K needs, with quadratic responses of forage accumulation to K rate observed at early (p < 0.001, R2 = 0.96) and late (p < 0.001, R2 = 0.84) harvests. The 168 kg K2O ha−1 year−1 increased stem density, increasing forage accumulation and profitability under both harvest systems. Stem density significantly impacts weed competition and stand productivity, with stem counts above 590 m−2 maintaining optimal yields. Alfalfa producers worldwide, particularly in Wyoming and similar environments, can rejuvenate depleting stands by applying moderate K rates (∼168 kg K2O ha−1 year−1) and adopting early or late harvest strategies when stem densities fall below ∼430 m−2. However, when stem counts remain above this threshold and weeds are well managed, continued harvesting may be an efficient strategy.

Effect of Organic, Inorganic and Biofertilizers on Soil Characteristics and Potato Tuber Yield (Solanum tuberosum L.)

This study evaluates the impact of organic, inorganic, and biofertilizers on soil characteristics and potato tuber yield in the variety Kufri Ashoka. The experiment was conducted at the Vegetable Research Farm of Acharya Narendra Deva University of Agriculture and Technology, Ayodhya, Uttar Pradesh, using treatments involving different combinations of fertilizers, including recommended doses of inorganic nutrients (RDF), farmyard manure (FYM), vermicompost, Azotobacter, and Phosphobacteria. Key findings demonstrated that RDF treatment (150:100:120 kg N:P2O5 ha⁻¹) produced the highest tuber yield (249.2 q ha⁻¹), significantly outperforming all other treatments. However, the organic treatment T4, which included compost, crop residue, biofertilizers, and FYM, also yielded a substantial 237.1 q ha⁻¹, with improvements in soil health attributes like increased organic carbon (3.6 g kg⁻¹) and reduced pH (7.92) and electrical conductivity (0.22 dSm⁻¹). Results indicated that the integration of organic and biofertilizers led to moderate yield gains compared to RDF but significantly enhanced soil properties, contributing to long-term soil health. Organic treatments promoted improved microbial activity and soil structure, essential for sustainable agriculture. This study highlights the effectiveness of integrated nutrient management, where combining organic and biofertilizers with inorganic nutrients can enhance crop yields while maintaining soil fertility and reducing the negative environmental impact associated with exclusive inorganic fertilizer use.

Effect of Organic Manures and Biofertilizers on Yield Attributes, Yield and Economics of Mung Bean (Vigna radiata)

Background: Pulses are significant in India's agricultural economy not only for their worth as human food, but also for animals because of their high protein content. Pulses have unique ability of maintaining and restoring soil fertility through biological nitrogen fixation as well as addition of ample amount of residues to the soil. Mung bean, also known as green gram (Vigna radiata) is a small green, and cylindrical-shaped legume that is widely cultivated in various parts of the world, including India, China, and Southeast Asia. Methods: The present study was carried out during the summer season of 2024 at Research Farm, School of Agriculture, OM Sterling Global University, Hisar. Seven treatment combinations comprising organic manures and biofertilizers were tested in randomized block design in three replications. Result: The results revealed that the yield and yield attributes viz., number of pods per plant (15.90), length of pod per plant (10.76 cm), number of seed per pod (11.05), 1000 grain weight per plant (37.00 g) and seed yield (1197 kg ha-1); Economics viz., gross returns (128212 ₹ ha-1), cultivation (43823 ₹ ha-1), net returns (86189 ₹ ha-1) and benefit-cost ratio (3.05) were maximum in the treatment of Jeevamrutha @ 3000 l ha-1 through three splits at sowing, 30 and 45 DAS + Rhizobium +PSB. Whereas, significantly minimum for all above parameters were recorded under control.

Mechanisms of rhizosphere plant-microbe interactions: molecular insights into microbial colonization

The rhizosphere, as the “frontline” of plant life, connects plant roots, rhizosphere microorganisms, and surrounding soil, plays a crucial role in plant growth and health, particularly in sustainable agriculture. Despite the well-established contribution of plant-microbe interactions to plant health, the specific molecular mechanisms remain insufficiently understood. This review aims to summarize the physiological adjustments and signal modulation that both plants and microorganisms undergo within this unique ecological niche to ensure successful colonization. By analyzing key processes such as chemotaxis, root attachment, immune evasion, and biofilm formation, we uncover how plants precisely modulate root exudates to either recruit or repel specific microorganisms, thereby shaping their colonization patterns. These findings provide new insights into the complexity of plant-microbe interactions and suggest potential directions for future research in sustainable agriculture.

Trends in Global Agricultural Carbon Emission Research: A Bibliometric Analysis

As climate change intensifies and countries actively pursue carbon peaking and carbon neutrality targets, agriculture has emerged as a significant source of carbon emissions. A comprehensive analysis of global agricultural carbon emission research can enhance the agricultural environment and achieve a mutually beneficial outcome for environmental protection and economic development. Despite the evolution of research domains and methodologies, the global context remains closely connected to the current state of the discipline. Drawing on the Web of Science core collection, this paper develops a knowledge network framework, examines the current status and hotspots of agricultural carbon emissions, forecasts future development trends, and analyzes the findings using CiteSpace visualization software. The findings indicate that the number of papers on agricultural carbon emissions has been increasing annually, with minor fluctuations; time series analysis and sustainable development have emerged as the current focal points, and relevant institutions are collaborating increasingly closely. However, cooperation among scholars requires further enhancement. Countries such as China, the United States, and Germany are the primary nations for paper publication. The hotspot analysis reveals a high frequency of keywords such as greenhouse gas emissions and climate change, indicating that research on agricultural carbon emissions has matured and the emphasis has shifted from accounting to management. This paper develops a domain knowledge framework to assist readers in understanding agricultural carbon emission patterns and provide resources for further research. Follow-up studies should enhance both comprehensiveness and breadth, promote interdisciplinary cooperation, provide a scientific foundation for policymakers, and outline future research directions.