Groundnut Production Research Articles

Response to oxalic acid: an important supplement screening against stem rot resistance in groundnut (Arachis hypogaea L.)

BackgroundStem rot, caused by the soil-borne pathogen Sclerotium rolfsii, pose a serious challenge in the groundnut (Arachis hypogaea L) cultivation. Although this disease is widespread globally but had most adverse impact in groundnut growing regions of United States, India, and Australia. The pathogen primarily targets the crown region of the plant, resulting in systemic collapse and potentially leading to yield losses up to 80%. Effective genetic control measures are essential to mitigate the impact of this disease on groundnut production. Realizing the time and resource-consuming complex field-based phenotyping, the availability of easy and repeatable phenotyping methods may fasten the process of donor and gene discovery efforts.ResultsMulti-season phenotyping was performed for stem rot on 184 minicore germplasm accessions, including checks, under two conditions: sick field screening and response to oxalic acid assay. This study demonstrated medium to high heritability (52–63% broad-sense heritability) and significant environmental influence (36%). The response to the oxalic acid assay showed a high proportion of similarity (approximately 80%) with the percent mortality observed in the sick field indicating an easy way of performing precise phenotyping. Notably, seven genotypes—ICG163, ICG721, ICG10479, ICG875, ICG11457, ICG111, and ICG2857—exhibited stable resistance, with less than 30% mortality against stem rot disease. Among these, ICG163, ICG875, and ICG111 displayed low mortality and consistent stability across multiple seasons in both the sick field and controlled conditions of the oxalic acid assay.ConclusionsThe oxalic acid assay developed in this study effectively complements field phenotyping, as a reliable method for assessing stem rot resistance. Seven resistant genotypes identified through this assay can be utilized for the introgression of stem rot resistance into elite genotypes. Given the significant influence of the environment on stem rot resistance, it is essential to implement multi-season phenotyping to obtain precise results. Furthermore, the response to oxalic acid serves as a valuable supplement to traditional field phenotyping, since maintaining uniform disease pressure during field screenings is often challenging.

Socio-Economic and Buying Behavior of Groundnut Growers towards Micronutrient Fertilizer in Sabarkantha District of Gujarat, India

The study aims to analyze the impact of socio-economic, knowledge level and buying behavior of groundnut growers towards micronutrient in Sabarkantha district. This study employed a multistage sampling technique in the Sabarkantha district of north Gujarat, known for its high groundnut productivity. The focus was on three talukas-Himmatnagar, Idar and Talod-chosen for their extensive groundnut cultivation areas in 2024. From each taluka, five villages were randomly selected and eight growers from each village, totaling 120 growers, were selected. The study aimed to explore the socio-economic profiles of groundnut growers, assess their knowledge of micronutrient fertilizers, analyze their buying behavior. The majority of growers (55.83%) were between 36 and 50 years old, with more than 15 years of farming experience. Most belonged to nuclear families and had completed higher secondary education. Borewells and open wells were the main irrigation sources, with 57.50% also involved in animal husbandry. Annual incomes ranged between ₹1,44,901 and ₹6,72,800. Additionally, 73.33% between ₹3,38,501 and ₹8,26,500 from both farming and other sources. Groundnut growers demonstrated high awareness of the importance, access and benefits of micronutrients, though only 19.17% had soil health cards. Agro-input dealers (54.16%) were the primary information source and mixed micronutrients (49.16%) were most preferred. The study found a strong relationship between socio-economic variables and buying behavior, with 96.20% of the variation explained. Positive influences on purchasing included the price of micronutrients, growers’ income, farming experience and larger landholdings, while older growers and those with higher knowledge were less likely to purchase micronutrients. Most growers (75.00%) purchased from agro-service centers or dealers. This comprehensive analysis provides valuable insights into the socio-economic profiles, knowledge and buying behavior of groundnut growers in the Sabarkantha district.

Instability Analysis and Decomposition of Output of Oilseeds Crops in Rajasthan and India

Aim: The study deals with analysis of instability of area production and productivity of major oilseeds in Rajasthan and India. It also includes calculation of sources of growth of production over the period of study. Area effect, yield effect and interaction effect for crop production were calculated. Place and Duration: The time series data of thirty years, 1990-91 to 2019-20, was analyzed. The data were further divided into Three decades, period I(1990-91 to 1999-2000), period II (2000-01 to 2009-10) and period III (2010-11 to 2019-20). Area production and productivity of major oilseed crops (Rapeseed-mustard, groundnut and soybean) for all three decade in Rajasthan and India were analyzed. Methodology: This paper deals with the analysis of instability in area production and productivity of major oilseed crops in Rajasthan and India. The Cuddy Della Vella Index has been used for instability analysis. It also includes the decomposition analysis to determine factors that were responsible for the change in production of the crops. The additive decomposition method has been used to determine area, yield and interaction effect. Results: Calculations revealed that the magnitude of instability in Rajasthan during period II (2000-01 to 2009-10) remained high for all the selected crops. There was instability of 32.49 percent and 34.40 percent for area and production, respectively, while 13.34 percent of variation was found in productivity. In Rajasthan, the lowest instability was observed during period III (2010-11 to 2019-20) with variation of 7.44 percent, 9.47 percent and 6.62 percent for area production and productivity of groundnut. In India, the highest instability was during period II. The area of Rapeseed-mustard has shown the highest (17.72%) instability compared to the instability of the area of other crops. Variation of production and productivity of groundnut was recorded at 24.79 and 21.88 percent, respectively, which is highest among the selected crops. The decomposition analysis revealed that the area effect was a major source for the growth of production of oilseed in Rajasthan as compared to the yield effect and interaction effect. During period I (1990-91 to 1999-2000), the area effect for rapeseed mustard, groundnut and soybean was 68.08, 87.97 and 91.35 percent. In India, both area and yield effect have a major contribution to the growth of production. During period I, the yield effect (57.50 %) was responsible for growth of rapeseed-mustard production, while groundnut and soybean had a high contribution of area effect with magnitudes of 70.86 percent and 84 percent. Area effects for groundnut and soybean were 118.44 percent and 58.06 percent during period II, respectively. Area effect (42.90%) and yield effect (45.76%) were equally responsible for the growth of rapeseed-mustard. During period III, the yield effect for rapeseed-mustard and soybean was 101.34 percent and 257.7 percent, respectively, while the area effect (52.29 %) was responsible for growth in groundnut production. Conclusion: It has been found that groundnut was the most stable crop in term of area production and productivity. The major source for the growth of production was area effect and Yield effect while interaction effect has least impact on production of crops.

Identification of resistant sources against collar rot disease in groundnut (Arachis hypogaea) incited by Aspergillus niger

Collar rot disease incited by Aspergillus niger van Tiegham is one of the major constraint to groundnut (Arachis hypogaea L.) production in India. This fungus is ubiquitous, soil inhabitant causing severe reduction in seed germination. Infected seeds appear surrounded by black conidia and post-emergence infection occurs on collar region of plants leading to mortality of emerged seedlings at the seedling stage. Therefore, present study was carried out during rainy (kharif) seasons of 2022 and 2023 at Regional Research Station (CCS Haryana Agricultural University, Hisar, Haryana), Bawal, Haryana to identify the strategy of disease management by identification of new resistant lines which will be useful to develop introgression lines using marker-assisted backcrossing approach to improve disease resistance against soil-borne pathogens in popular groundnut varieties. A total of 245 groundnut genotypes were screened under natural epiphytotic field conditions in randomized block design (RBD) with three replications for their resistance against collar rot disease The results of the investigation indicated that 65 genotypes displayed resistant reactions among which ICGV-6285, GC-131-1, ICGV-06319, ICGV-02038, GC-100, GC-98, ICGV-02038, ICGV-7403, ICGV-7214, TG-37A and GC-133 exhibited the lowest collar rot incidence while, rest of the genotypes displayed moderately resistant, susceptible and highly susceptible reaction. Thus, these resistant genotypes could be utilized in the hybridization programme to develop high yielding groundnut variety with inbuilt resistance against collar rot of groundnut.

Groundnut (ARACHIS HYPOGAEA L.) seed defect classification using ensemble deep learning techniques

Groundnut is an oil seed cash crop, that can be consumed directly by humans and animals. It is also used as an intelligence in the industrial production of butter and other products. However, Groundnut seeds can become infected with fungi, viruses, pests, physical damage, and high heat, which can negatively impact crop yield, quality, and economic value, and pose health hazards. To address these challenges, computer vision technology detects and classifies defects. This study introduced an ensemble deep learning defected classification model that combines VGG16 and InceptionV3 using seed images. To enhance model performance, collected images are preprocessed using novel techniques tailored to different image types. Preprocessing techniques are chosen based on image-quality evaluation metrics. Watershed segmentation is applied followed by detecting the region of interest in the image using YOLOv3. The image dataset is augmented and balanced using a Generative Adversarial Network (GAN). The model development involves a combination of classical and deep-based features, comparing features extracted with (HOG and GLCM) to those extracted with InceptionV3 and VGG16. The ensemble model achieves an accuracy of 96.25 % with a split ratio of 10 % for testing, 10 % for validation, and 80 % for training set. This research benefits farmers looking to improve yield, consumers of groundnut products, and researchers studying seed defects. The work provides valid insights for future researchers regarding dataset creation, augmentation, methods, and feature selection for modeling. However, the model experienced misclassifications due to the similar appearance of sample images in different classes. Future researchers should address these challenges and consider factors such as oil content and defect grading.

Growth indices and drymatter production of groundnut as influenced by various farming types and cropping system under Southern transition Zone of Karnataka

Growth indices and drymatter production of groundnut as influenced by various farming types and cropping system under Southern transition Zone of Karnataka

ECONOMIC EFFICIENCY OF GROUNDNUT PRODUCTION IN KANO STATE, NIGERIA

The study examined the economic efficiency of groundnut production in Kano State, Nigeria. Using a simple random sampling, two hundred and sixty-seven (267) farmers were selected and interviewed from nine communities, under the three selected LGAs from the study area. Descriptive statistics, DEA, as well as Tobit regression model were used for data analysis. The result of the Data Envelopment Analysis (DEA) reveals that the farmers were operating below the optimum frontier with average Technical Efficient (TE), Allocative Efficiency (AE) and Economic Efficiency (EE) scores was 0.265, 0.371 and 0.098 respectively, with the GM enterprise having a higher mean TE score of (0.7654). All the inefficiency variables met a prior expectation with positive coefficients except age and level of education. This indicates that increase in age and years of schooling have minimal effect in reducing the farmers’ inefficiency in groundnut production. Four out of the eight fitted inefficiency variables were significant at 10%, while three at 5%, but the extension contact was not significant. It was thus concluded that even though groundnut production enterprise is a profitable one, groundnut farmers in the study area were both technical and allocative inefficient. It was therefore recommended that farmers should be encouraged through extension to adopt new available technologies and improved varieties which will help improve both their technical and cost efficiency thereby widen their margin gaps.

Economic Importance of Frontline Demonstrations on Groundnut Production Technology in Nagarkurnool District, India

The present investigation was conducted in the rabi, 2019-20 in Nagarkurnool District. A total of 25 demonstrations were conducted in Peddur and Uppununtala villages of Telkapally Mandal and Nagarkurnool District. The objective of the study is to demonstrate the improved crop management practices in groundnut to increase the productivity and profitability of groundnut crops. The study revealed that Improved Crop Management practices enhanced groundnut pod yield (2338 kg ha-1) by up to 9.4% over farmer's practice (2116 kg ha-1). The technology gap ranged from 300-900 kg ha-1 and the extension gap ranged from 200-350 kg ha-1 with an average technology Index of 22.1%. The ICM practices have reduced the cost of cultivation (Rs.46,775/-) and increased the gross returns (Rs.1,41,890/-), net returns (Rs.95,115/-) and B: C ratio (2.05) over farmer's practice (Rs.46,775/-, Rs.128102/-, Rs.78475/- and 1.59 respectively).

Status of Groundnut Production in Africa: A Review From 2012 to 2022

Food safety, and security remains a major concern in developing nations. Groundnuts rank the second globally in oil seed production after soya beans and the 11th most important crop for human intake. Limited productivity against the potential of existing crops due to biotic, abiotic, market, and policy factors causes the poor food production trends. This work uses a systematic review approach to determine the productivity of groundnut as a major food crop in Africa for the last 10 years based on the trend of declining yields of groundnut in this duration, and the role of influencing factors. The extracted data is summarized creating a feasible proposal on how the productivity, and quality of the crop could be improved to meet the food security need. Among the top 11 producers of groundnuts in Africa, West Africa accounts for 55% with regions like Nigeria, and Senegal having the highest productivity of 3.3 t, and 1.1 t respectively over the last ten years. In East Africa, Sudan has the highest production of 2.04 t over the 10 years. Despite being the second continent in the size of area under production of groundnut, Africa has the lowest average yields per hectare (1 t/ha), compared to America (3 t/ha), and Asia (1.8 t/ha). Regions that used improved varieties had higher yield than those using local varieties, and less technologies. High disease infestation shows a direct correlation with declining yields of groundnut. Therefore, the low productivity of groundnuts could be associated with social, cultural, and economic factors that create disparities in accessing improved technologies, farming, production and marketing resources. Development of improved varieties and policies in the region that support improved agronomic inputs are feasible practices for attaining cultivars that resist the yield, and quality limiting parameters.

Analysing Small Holders’ Groundnut Production and Its Post-Harvest Systems in Southern Benin

Analysing Small Holders’ Groundnut Production and Its Post-Harvest Systems in Southern Benin

Growth, productivity and profitability of groundnut (Arachis hypogea L.) varieties under seed endophytic bacterial inoculation

Growth, productivity and profitability of groundnut (Arachis hypogea L.) varieties under seed endophytic bacterial inoculation

DESIGN AND FABRICATION OF GROUNDNUT PODSEPARATOR

In India, Agriculture is the backbone. In a country like India, farmers grow groundnuts on a small scale. The major problem in groundnut production in countries like India is the lack of groundnut processing machines available to farmers. In the beginning, the workers separated the groundnut pods from their plants. They simply remove groundnut pods by their hands and separate them from the plants. The output obtained from this method, was very low because it was a very time-consuming process. It was also a boring work for the worker. The traditional method of separating pods from groundnut plants is by hand. The traditional method is not a sufficient method for separating the groundnut pods. Due to this manual process, identifying some major problems&overcomingthese problems some ideas or concepts are generated.

Weed smothering efficiency of mulching types on groundnut (Arachis hypogea L.) productivity in the dry savanna region of Nigeria

In order to increase groundnut productivity, a field experiment was carried out in the dry season of 2020 to assess the effectiveness of various mulching materials at suppressing weeds. The experimental treatments comprised of five mulching types; Control (no mulch), transparent polythene mulch, black polythene mulch, rice straw mulch and saw dust mulch) and three groundnut varieties (SAMNUT 23, SAMNUT 24 and SAMNUT 26). These were factorially combined and laid out in a Randomized complete block design with three replications. Findings revealed that mulching had a significant (p < 0.05) impact on crop qualities including canopy cover, chlorophyll content, pod yield, 100 kernel weight, and groundnut kernel yield as well as weed attributes like weed cover scores, weed density, weed dry weight, and weed control efficiency in both BUK and Wasai, respectively. The weed compositions were further grouped into various families comprising Poaceae (11), Euphorbiaceae (3), Amaranthaceae (4), Asteraceae (3), Cyperaceae (2), Cucurbitaceae, and Aizoaceae, each having one species with a different level of occurrence across the two locations. On the other hand, SAMNUT 26 significantly produced higher pod (2798 & 2119) and kernel yields (1198 & 1191), although SAMNUT 23 produced a heavier 100 kernel weight (55.51 & 54.52) at BUK and Wasai, respectively. In comparison to the other mulching types, applying black polythene mulch or transparent mulch lowered weed density and dry weight by limiting the amount of sunlight that the weeds got, preventing them from growing. Therefore, for dry season production of groundnut in the Sudan savannah ecology of Nigeria, mulching with black or transparent polythene film using the SAMNUT 26 variety was found to be effective in conserving soil moisture for optimum crop growth and development, while on the other hand, weed populations were suppressed.

An Analysis of the Effects of Phosphorus Solubilizing Bacteria (PSB) on Phosphorus Intake to Increase Groundnut Productivity

Background: Groundnut (Arachis hypogaea L.) is a self-pollinated, auto-tetraploid legume crop with 2n=40 chromosomes and belongs to the family Fabaceae. Microbial inoculant Azotobacter (Azotobacter chroococcum), Bacillus (Bacillus subtilus) and Pseudomonas (Pseudomonas sps.) were applied @ 250 g/acre. Consortium comprised of 3 microbial inoculants/strain @ 166.0 each for 500 g per acre Methods: For in depth studies field experiment on PSBs along with two doses of P2O5 were carried out during two consecutive Kharif season in 2020 and 2021 on SG99.The use of phosphate solubilizing bacteria as inoculants simultaneously increases P uptake by the plant and crop yield. Strains from the genera Pseudomonas, Bacillus and Azotobacter are among the most powerful phosphate solubilizes. Result: Results revealed that the different treatments of recommended dose and double dose of PSBs exerted their significant effect on initiation of flowering, 50% flowering, completion of flowering and days to maturity.

Antifungal Activity of Cyperus articulatus, Cyperus rotundus and Lippia alba Essential Oils against Aspergillus flavus Isolated from Peanut Seeds.

Aspergillus flavus is a cosmopolitan saprophytic fungus that infests several foodstuffs and is associated with adverse effects in humans. In Senegal, significant losses of groundnut production are mainly due to contamination caused by this species. This study evaluated in vitro antifungal activities of Cyperus articulatus, Cyperus rotundus and Lippia alba essential oils against A. flavus isolated from peanut seeds. Essential oils obtained by hydrodistillation of rhizomes of the two Cyperus species and leaves of L. alba were analyzed with GC-DIF and GC-MS. The essential oil yields from C. articulatus, C. rotundus and L. alba were 1.1%, 1.3% and 1.7%, respectively. These three samples had the following chemotypes: (i) mustakone (21.4%)/eudesma-4(15)-7-dien-1β-ol (8.8%)/caryophyllene oxide (5.9%), (ii) caryophyllene oxide (25.2%)/humulene epoxyde 2 (35.0%) and (iii) geranial (46.6%)/neral (34.6%). The three oils tested inhibited the growth of A. flavus at concentrations between 100 and 1000 ppm. The L. alba oil was the most effective with total clearance of A. flavus on PDA. For the essential oils of C. rotundus (93.65%) and C. articulatus (78.11%), the highest inhibition rates were obtained with a 1000 ppm dose. Thus, L. alba oil could be used safely as an effective protector of groundnuts against A. flavus.

Identification of new sources of resistance against late leaf spot disease of groundnut using molecular and field screenings

ABSTRACT Late leaf spot (LLS), caused by the fungus Nothopassalora personata, is an important foliar disease in groundnut (Arachis hypogaea L.) production. The present study used previously reported three single nucleotide polymorphism (SNP) markers to screen a set of groundnut germplasm and compared them with phenotypic values of three hotspot locations. The results indicated that marker-identified genotypes had LLS-resistant or moderately resistant phenotypes. About 56% of the phenotypically confirmed genotypes were confirmed with the SNP genotype. Some of the phenotypically resistant genotypes were not confirmed with marker genotypes, indicating some other quantitative trait locus (QTL) responsible for the LLS resistance might have been involved. The findings in this study are relevant to future LLS resistance breeding programs.

Knowledge of FLDs farmers and fellow farmers about groundnut production technology

Knowledge of FLDs farmers and fellow farmers about groundnut production technology

Land suitability mapping for groundnut production in southern region of Borno state, Nigeria

Groundnut (Arachis hypogea) is a leguminous oilseed crop cultivated in the semi-arid and subtropical region of the world. In West Africa, groundnut plays an important role. This includes food production for household consumption, cash crops, sources of employment, and incomes for smallholders in rural households. In Nigeria, it was among the major sources of income before the oil boom. Some of the activities surrounding its production are the development of commerce, employment, and foreign exchange. This study aims to identify the most suitable sites for groundnut production in the Southern Borno Region, Nigeria with the objectives to identify areas of groundnut cultivation within the southern Borno region and to conduct a suitability analysis for groundnut production within the study area. Primary and secondary data and questionnaires were used in this study. Climatic data such as Temperature, Rainfall, Precipitation, Wind speed, Relative Humidity, Soil, and Topographic data were also used. The parameters were overlaid using the weighted overlaid operation in ArcGIS 10.3 and ranked from the most suitable to the least suitable for wheat production within the study region. The result of the study revealed that groundnut is cultivated in all parts of Southern Borno Region. It revealed that areas around Askira/Uba, Chibok and Damboa are the most suitable site for groundnut cultivation. This study demonstrates the capabilities of Remote Sensing and GIS Systems for multi-criteria analysis in Land Suitability Mapping. It is recommended that farmers around Askira/Uba, Chibok and Damboa be encouraged to cultivate more groundnuts.

Biological Control of Stem Rot of Groundnut Induced by Sclerotium rolfsii sacc.

Stem rot of groundnut (Arachis hypogaea L.) caused by Scelrotium rolfsii is the main threat to groundnut production, causing significant economic losses. The present study aims to provide an overview of the potentiality of Trichoderma viride (Tv), Trichoderma harzianum (Th), Pseudomonas fluorescens (Pf), and Bacillus subtilis (Bs), applied either individually or in mixed combination, against Sclerotium rolfsii (isolate SrBKN). The treatment with T. harzianum and P. fluorescens resulted in the highest mycelial growth inhibition (79.61, 83.51, and 86.77%), followed by T. viride and P. fluorescens (75.74, 79.63, and 83.14%). Under in vitro conditions, the combination of bio-agents at 5% culture filtrate proved to be superior against the test pathogen. Seed treatment and soil application of T. harzianum and Pf at 10 (5 + 5) g kg-1 + 10 (5 + 5) kg ha-1, followed by seed treatment and soil application of T. viride and Pf at 10 (5 + 5) g kg-1 + 10 (5 + 5) kg ha-1, resulted in the lowest disease incidence (7.40 and 8.0%), highest disease control (69.37 and 66.88%), maximum dry weight (151 and 147 g plant-1), highest increase in dry weight (75.58 and 70.93), highest pod yield (2665 and 2498 kg ha-1), and highest increase in pod yield (96.38 and 84.08%) under in vivo conditions. We present an effective bio-control-based management module from the lab to the field for the successful control of groundnut stem rot caused by S. rolfsii. Based on the results, it is concluded that the dual formulation of T. harzianum and P. fluorescens, followed by T. viride and P. fluorescens, were the most effective BCAs in suppressing the S. rolfsii. Therefore, an integrated disease management module with these BCAs needs to be developed and validated with a farmers' participatory mode under field conditions.

Interactive Effect of Bio-Organic and Inorganic Fertilizers on Crop Growth, Quality, Productivity and Profitability of Groundnut (Arachis Hypogeae L.) in an Alfisols of Western-Ghat of Maharashtra India

ABSTRACT Precisely because of low nutrient availability and toxicities of nutrients unfertilized alfisols are unable to satisfy the nutrients requirement to meet plants demand. An investigation was carried out to assess the impact of biofertilizer inoculation (no biofertilizers, arbuscular mycorrhizal fungi (AMF) @ 10 kg ha−1, phosphate solubilizing bacteria (PSB) @ 10 kg ha−1, AMF+PSB @ 5 kg each ha−1 and AMF+PSB @ 10 kg each ha−1) and phosphorus levels (15, 30, 45, and 60 kg ha−1) on growth, quality, productivity and profitability of groundnut in alfisols of Western Ghats of Maharashtra, India, in a factorial randomized block design during 2017–18 and 2018–19 growing seasons. It was discovered that groundnuts grew better with 60 kg phosphorus and 10 kg each AMF+PSB ha−1 and produced significantly higher pod yield (35.86 q ha−1), kernel yield (2.52 t ha−1) and harvest index (41.47%). However, inoculation and their interaction did not reach the level of significance, despite the fact that they responded favorably to the high phosphorus (60 kg ha−1) rate. Similarly, plots infused with 60 kg phosphorus ha−1 and AMF+PSB 10 kg each ha−1 significantly exhibited highest oil content (50.62%), protein content (31.93%), total nitrogen (269.71 kg ha−1), phosphorus (8.60 kg ha−1) uptake, nutrient efficiency ratio (40.79 kg kg−1), nutrient harvest index (44.11%), gross return (INR 2,44,388 ha−1), net return (INR 62,209 ha−1), and benefit: cost ratio (B:C ratio) of 1.96. In view of their intense need for nutrients, groundnuts thrived well when given an appropriate combination of inorganic and biological fertilizers.