Soybean Production Research Articles

Satellite-based soybean yield prediction in Argentina: A comparison between panel regression and deep learning methods

The accurate prediction of soybean yield is vital for global food market stabilization and food security. Recent advancements in remote sensing technology have significantly amplified interest in leveraging satellite-based methods for predicting crop yield. These methods offer in-season yield estimates. By utilizing this timely information, decision-makers can formulate strategic, well-informed choices that preemptively mitigate potential food price hikes, ultimately bolstering food security. While simple regression models have been widely utilized for satellite-based yield prediction, researchers have recently begun to explore the use of deep learning algorithms. This study compares the performance of panel regression and deep learning models for in-season soybean yield prediction at the Department (county-equivalent) level in Argentina. Data sources include the latest soybean land use products and MODIS bi-weekly vegetation index products. Results indicate that deep learning models significantly outperform panel regression. Deep learning Long Short-Term Memory (LSTM) models, which incorporate attention mechanism and a series of peak NDVI images, generate more accurate and time-sensitive predictions. Among competing LSTM models, the one with attention mechanism applied to the entire growing season's NDVI data yields the highest prediction accuracy, with a Root Mean Square Error (RMSE) of 505.78 kg/ha and Normalized Root Mean Square Error (NRMSE) of 0.0726. The LSTM model with attention on the three highest NDVI images attains a satisfactory prediction accuracy (RMSE = 627.28 kg/ha, NRMSE = 0.089) six weeks prior to harvest. This study presents a robust model for predicting crop yields, promoting sustainable production of soybeans and facilitating knowledgeable choices among farmers and policymakers.

Response of rhizosphere microbial community structure and production performance of corn and soybean to belt planting mode

Soybean and corn strip cropping takes full advantage of the root characteristics and plant height differences between soybean and corn, which can improve crop photosynthesis and nutrient uptake as well as capitalize on the marginal effect of corn. However, there is not enough in-depth research on the effects of soybean and corn strip cropping modes on inter-root microbial communities and crop yield traits and their correlations, and the functional genes of inter-root microbes. In this study, the structural composition and functional genes of soil inter-root microbial communities under different strip cropping patterns of soybean and maize, Mode 1, Mode 2, and Mode 3, were studied using macro-genome high-throughput sequencing, and the yield traits of soybean and maize were determined and the correlation was understood, taking Zhonglian Soybean 1505 and Tiyu 108 maize as test materials at the experimental base of the Research Institute of Agricultural and Livestock Sciences, Xing'anmeng, Inner Mongolia. correlation between the two. The following results were found. Redundancy analysis found that rhizosphere microorganisms are mainly bacteria, followed by viruses, followed by archaea, and fungi are the least. Relatively speaking, viruses and bacteria are more susceptible to the influence of planting patterns than fungi. Alpha diversity analysis shows that the diversity index changes significantly during the peak flowering period. There is no difference between the other two stages. The diversity of maize rhizosphere microorganisms under Mode 1 or Mode 2 modes is higher than that under Mode 3 modes, while the diversity of soybean rhizosphere microorganisms under Mode 3 modes is higher than the other two modes. Profiling analysis found that different growth periods and planting patterns lead to varying degrees of changes in community structure. The dominant bacterial phyla include Pseudomonas, Actinobacteria, Bacteroidetes, and Streptococcus. The dominant genera of bacteria are rhizobia, pseudomonas, erythrobacteria, and pseudomonas. The relative abundance of slow root rhizobia in the three growth stages of maize rhizosphere is relatively low. The results of yield traits showed that corn yield under Mode 1 and Mode 2 planting was significantly higher than that under pattern III; soybean yield under pattern III planting was significantly higher than that under the other two patterns, indicating that pattern I or II planting is suitable for corn production, while Mode 3 planting mode is more suitable for soybean production. Correlation analysis showed that S_Massilis_putida was significantly and positively correlated with maize yield, and S_lysobacter_capsici was highly significantly and significantly positively correlated with the number of soybean plants per square meter, and the number of plants in 2 square meters. This study contributes to our further understanding of the classification of inter-root microorganisms and their functional relationships in maize and soybean under different conditions.

Optimal sowing time to adapt soybean production to global warming with different cultivars in the Huanghuaihai Farming Region of China

ContextThe Huanghuaihuai Farming Region (HFR) is one of China’s largest soybean production zones, with climatic conditions in the HFR being near ideal. In recent decades, however, global warming has increasingly inhibited soybean production in this region. ObjectiveOur aim was to determine whether planting time and/or genetics (heat-resilient and heat-sensitive cultivars) enable adaptation of soybean cropping systems to the changing climate. MethodsTwo-year split-plot design field experiments comprising five different sowing dates and three cultivars (namely heat-resilient, heat-sensitive and widely grown ones) were conducted in the HFR in 2020 and 2021. ResultsDelayed sowing dates significantly elevated the average minimum temperature in the vegetative growth stage, fostering soybean growth and consequently truncating the vegetative growth stage. Later sowing reduced the occurrence of heat stress and minimized negative influences of heat stress on yield. Higher heat stress in the first two sowing treatments (1 June and 10 June) negatively influenced yields of Hedou14 (heat-sensitive cultivar) and Zhonghuang13 in 2020, while the highest yield was obtained for the third sowing treatment (20 June) for these two cultivars. In general, Jidou21 (heat-resilient cultivar) showed greater tolerance to increasing temperature, with higher yield at earlier sowing. Delayed sowing decreased temperature exposure and growing degree days (GDD), reducing the duration of grain filling, leaf area index and photosynthesis, in turn decreasing grain number per plant and 100-grain weight. Taken together, such factors inhibited yield of all cultivars in the year without heat stress. In contrast, high precipitation (2021) prolonged grain filling and increased yield. ConclusionsWe contend that optimizing sowing time is crucial for mitigating heat stress in heat-sensitive cultivars. We suggest that high yield is more likely to be realized when crops are exposed to GDD > 500℃·d and precipitation > 250 mm during grain filling. ImplicationsFuture studies aiming to elicit optimal sowing times for soybean should consider cultivar heat sensitivity relative to long term climatic conditions of the target agro-ecological region.

Relative impacts of Varroadestructor (Mesostigmata:Varroidae)infestation and pesticide exposure on honey bee colony health and survival in a high-intensity corn and soybean producing region in northern Iowa.

The negative effects of Varroa and pesticides on colony health and survival are among the most important concerns to beekeepers. To compare the relative contribution of Varroa, pesticides, and interactions between them on honey bee colony performance and survival, a 2-year longitudinal study was performed in corn and soybean growing areas of Iowa. Varroa infestation and pesticide content in stored pollen were measured from 3 apiaries across a gradient of corn and soybean production areas and compared to measurements of colony health and survival. Colonies were not treated for Varroa the first year, but were treated the second year, leading to reduced Varroa infestation that was associated with larger honey bee populations, increased honey production, and higher colony survival. Pesticide detections were highest in areas with high-intensity corn and soybean production treated with conventional methods. Pesticide detections were positively associated with honey bee population size in May 2015 in the intermediate conventional (IC) and intermediate organic (IO)apiaries. Varroa populations across all apiaries in October 2015 were negatively correlated with miticide and chlorpyrifos detections. Miticide detections across all apiaries and neonicotinoid detections in the IC apiary in May 2015 were higher in colonies that survived. In July 2015, colony survival was positively associated with total pesticide detections in all apiaries and chlorpyrifos exposure in the IC and high conventional (HC) apiaries. This research suggests that Varroa are a major cause of reduced colony performance and increased colony losses, and honey bees are resilient upon low to moderate pesticide detections.

Pengaruh Kombinasi Populasi Tumpangsari Kedelai-Singkong pada Pertumbuhan dan Hasil Benih Tanaman Kedelai dan Hasil Umbi Singkong

Intercropping soybeans with cassava can become one solution to increase the production of soybean in Indonesia. This research aimed to determine the most optimal population combination of soybean-cassava intercropping for the growth and yield of soybean seeds, cassava tuber yield, and land use efficiency (LUE).. The research was carried out on the farm land of the Main Seed Center in Sekincau District, West Lampung Regency, Lampung Province, Indonesia at -5°02’27” South and 104°18’16” East at elevation of 1173.1 meter from sea level and at the Seed and Plant Breeding Laboratory Faculty of Agriculture University of Lampung during June 2022 - February 2023. The four treatments of population combination of soybean-cassava intercropping were applied in a completely randomized block design (CRBD) and replicated five times in five blocks. The four population combination treatments of soybean-cassava intercropping were a) 100% soybean and 0% cassava (monoculture) (p₁), b) 67% soybean and 97% cassava (p₂), c) 67% soybean and 89% cassava (p₃), and d) 50% soybeans and 97% cassava (p₄). The growth and the seed yield per soybean stem of monoculture did not differ to those of the soybean-cassava intercropping, but the soybean seed yield per plot area of the intercropping was lower than those of monoculture. Its mainly due to the soybean population of the intercropping was lower compared to monoculture. All population combinations in soybean-cassava intercropping were effective in supporting the growth and yield of soybean seeds, but the population combination of 50% soybean and 97% cassava (p₄) was also effective in supporting cassava tuber yield, and had the highest land use efficiency among other population combinations. Key words: flowering age, plant height, seed weight, tuber weight of cassava

Soybean Productivity of the Ukraine under Ecologization of Cultivation Technology

Soybean Productivity of the Ukraine under Ecologization of Cultivation Technology

ENCAPSULATION OF SOYBEAN SEEDS WITH Actinomycetes AS A BIOCONTROL AGENT AGAINST Sclerotium rolfsii Sacc

This study evaluates the effectiveness of Actinomycetes in encapsulating soybean seeds to control damping-off disease caused by Sclerotium rolfsii. With national soybean demand reaching 22 million tons per year and domestic production only 1 million tons, increasing production is essential. One major constraint is the attack of plant pathogens such as S. rolfsii, which can cause significant losses. Actinomycetes were isolated from the rhizosphere of weeds and tested for their antagonistic activity in vitro. Seed encapsulation using various carriers (kaolin, talc, and zeolite) was conducted to determine the most effective formula. In vivo tests showed that the Actinomycetes isolate PM2 exhibited the best antagonistic activity, with the zeolite formulation reducing pre-emergence damping-off disease incidence to 12.50% and post-emergence damping-off to 8.25%, compared to the positive control. These results indicate that the use of Actinomycetes in soybean seed encapsulation is an effective and sustainable method for controlling damping-off disease. Zeolite as a carrier proved to provide a supportive environment for antagonistic microbes, maintaining moisture and supplying necessary nutrients. This research reveals the great potential of Actinomycetes as a biocontrol agent in plant disease management strategies, which can significantly enhance soybean production and support national food security.

Multiple resistance of Colletotrichum truncatum from soybean to QoI and MBC fungicides in Brazil

AbstractColletotrichum truncatum, the predominant fungal species associated with soybean anthracnose, is responsible for significant losses in this crop. Chemical control via fungicide application is the most effective strategy for the control of soybean foliar diseases. However, the increasing incidence of anthracnose in some regions of Brazil indicates that current chemical control is not effective against anthracnose. In this study, we evaluated the fungicide sensitivity of C. truncatum genetic lineages to the fungicides azoxystrobin, thiophanate‐methyl, difenoconazole, and fludioxonil using isolates representing two important regions of soybean production in Brazil. We characterized the molecular resistance to the quinone‐outside inhibitors (QoI), methyl benzimidazole carbamates (MBC), and demethylation inhibitor (DMI) fungicide groups based on amino acid sequences of the cytochrome b (cytb), β‐tubulin gene (β‐tub), and P450 sterol 14a‐demethylases (CYP51) genes. Multiple resistance of C. truncatum isolates to QoI and MBC was observed associated with mutation points in the β‐tub (E198A and F200Y) and cytb (G143A). Alternatively, low EC50 values were found for fludioxonil and difenoconazole indicating high efficacy. Analysis of C. truncatum genomes revealed two potential DMI targets, CYP51A and CYP51B, and higher genetic variability in the CYP51A gene. A positive correlation was found between genetic differentiation of C. truncatum populations and fungicide sensitivity (Student's t‐test <0.001). To our knowledge, this is the first report of multiple resistance to QoI and MBC fungicides in C. truncatum in Brazil.

Integrated farming organic based on a partnership close-loop system in blambangan plantation, Banyuwangi Regency

This will decide the direction of customer attitudes and decisions to transition to consuming healthy and safe food items, together with the dynamics of expanding consumer preferences regarding the relevance of health and food safety. The primary option for addressing the shifting demands of consumers is organic food. The tendency to buy organic food items is positively impacted by consumer education about health and safety. Health and safety awareness has a favorable impact on consumers’ decisions to buy organic food. PT. Sirtanio Organic Indonesia in Banyuwangi is one of the commercial actors that regularly and constantly produce organic food ingredients (organic rice and soybeans). The goal of this project is to develop partnerships-based, integrated organic farming that uses a closed-loop system. Purposive sampling was utilized to choose the descriptive qualitative research approach at the company PT Sirtanio Organik Indonesia. In-depth interviews and group brainstorming with practitioners and higher education specialists are the methods used to acquire the data. The following are the conclusions: (1) an integrated organic farming pattern based on a close loop system (IFO-CLS) business development plan was successfully created; and (2) the IFO-CLS model was successfully implemented, particularly organic soybean production at PT. Sirtanio Organik through the Matching Fund-Kedaireka Kemristekdikti program in 2022.

Effect of nutrition management and irrigation methods and schedule on productivity, economics and water-use efficiency in soybean (Glycine max) chickpea (Cicer arietinum) cropping sequence in alluvial soil

A field experiment was conducted during 2011–12 and 2012–13 at Morena, Madhya Pradesh, to study the ef fect of nutrition management, and methods and scheduling of irrigation on soybean [Glycine max (L.) Merr.] chickpea (Cicer arietinum L.) cropping sequence. An irrigation at 0.6 irrigation water:cumulative pan evaporation (IW:CPE) ratio resulted in significantly higher growth, yield attributes, seed yield, economic benefits and water pro ductivity of soybean compared with 0.4 and 0.8 IW:CPE. Similarly, an irrigation at 0.4 IW:CPE ratio significantly in fluenced the yield-attributing characters, seed and straw yields, economic benefits and water productivity of chickpea compared with 0.6 and 0.8 IW:CPE ratios, whereas height and number of branches increased with in creasing IW:CPE ratio. Sprinkler irrigation resulted in significantly higher growth and yield attributes, seed and straw yields, economic benefits and water productivity of both the crops. The irrigation at 0.6 IW:CPE ratio showed 51.3% and 39.0% higher seed of soybean over 0.4 and 0.8 IW:CPE ratio, whereas 0.4 IW:CPE of irrigation yielded 14.5% and 32.5% higher seed of chickpea compared with 0.6 and 0.8 IW:CPE. Mean response of sprinkler irriga tion was recorded 8.3% in soybean and 11.7% in chickpea higher seed yield over check basin irrigation. Likewise, increases in growth and yield attributes, seed yield, water productivity and protein production of soybean and chickpea were noticed with application of 75% recommended dose of fertilizer (RDF) + 2.5 t FYM/ha compared with other nutrition treatments. Addition of 75% RDF + 2.5 t FYM/ha also achieved higher system productivity, net profit and production and economic efficacy. After harvesting of the second crop of chickpea, maximum availability of N, P, K and S was recorded under 0.4 IW:CPE ratio, sprinkler irrigation and application of 75% RDF + 2.5 t FYM/ha compared to other treatments.

Effect of variable irrigation supply based diversification of Bt cotton (Gossypium hirsutum)–wheat (Triticum aestivum) system on productivity, profitability, soil fertility and water expense efficiency

A field experiment was conducted during 2011–12 and 2012–13 at Morena, Madhya Pradesh, to study the ef fect of nutrition management, and methods and scheduling of irrigation on soybean [Glycine max (L.) Merr.] chickpea (Cicer arietinum L.) cropping sequence. An irrigation at 0.6 irrigation water:cumulative pan evaporation (IW:CPE) ratio resulted in significantly higher growth, yield attributes, seed yield, economic benefits and water pro ductivity of soybean compared with 0.4 and 0.8 IW:CPE. Similarly, an irrigation at 0.4 IW:CPE ratio significantly in fluenced the yield-attributing characters, seed and straw yields, economic benefits and water productivity of chickpea compared with 0.6 and 0.8 IW:CPE ratios, whereas height and number of branches increased with in creasing IW:CPE ratio. Sprinkler irrigation resulted in significantly higher growth and yield attributes, seed and straw yields, economic benefits and water productivity of both the crops. The irrigation at 0.6 IW:CPE ratio showed 51.3% and 39.0% higher seed of soybean over 0.4 and 0.8 IW:CPE ratio, whereas 0.4 IW:CPE of irrigation yielded 14.5% and 32.5% higher seed of chickpea compared with 0.6 and 0.8 IW:CPE. Mean response of sprinkler irriga tion was recorded 8.3% in soybean and 11.7% in chickpea higher seed yield over check basin irrigation. Likewise, increases in growth and yield attributes, seed yield, water productivity and protein production of soybean and chickpea were noticed with application of 75% recommended dose of fertilizer (RDF) + 2.5 t FYM/ha compared with other nutrition treatments. Addition of 75% RDF + 2.5 t FYM/ha also achieved higher system productivity, net profit and production and economic efficacy. After harvesting of the second crop of chickpea, maximum availability of N, P, K and S was recorded under 0.4 IW:CPE ratio, sprinkler irrigation and application of 75% RDF + 2.5 t FYM/ha compared to other treatments.

Productivity and profitability of soybean (Glycine max) as influenced by different fertility levels and seed rates under mid-hill conditions of Himachal Pradesh

Productivity and profitability of soybean (Glycine max) as influenced by different fertility levels and seed rates under mid-hill conditions of Himachal Pradesh

Effect of foliar nutrition on productivity and profitability of soybean (Glycine max)

Effect of foliar nutrition on productivity and profitability of soybean (Glycine max)

Yield Response of Soybean (Glycine Max) on Different Fertilization Rates

Yield Response of Soybean (Glycine Max) on Different Fertilization Rates

Cover crops and poultry litter impact on soil structural stability in dryland soybean production in southeastern United States

AbstractThis study explored the efficacy of soil aggregate indices in quantifying soil structural development, utilizing 5‐year field experiment data from the Southeastern United States. The experiment utilized a split‐plot design with cover crops (native vegetation as control, cereal rye (Secale cereale L.), winter wheat (Triticum aestivum), hairy vetch (Vicia villosa), and mustard (Brassica rapa) plus cereal rye as the main factor and fertilizer source (no fertilizer as control, inorganic fertilizer with phosphorus, potassium, and elemental sulfur, and poultry litter) as the secondary factor. Aggregate size fractions were determined using the wet‐sieving method, and aggregate stability index (ASI), mean weight diameter (MWD), geometric mean diameter (GMD), and fractal dimension (FD) were calculated to assess soil structural stability. Main effects results indicated that cereal rye (55.11%) and poultry litter (50.97%) exhibited the highest ASI values. The highest MWD, GMD, and FD were observed under mustard plus cereal rye (1.187 mm), cereal rye (0.462 mm), and hairy vetch (2.573), respectively. Principal component analysis revealed that cover crops significantly improved soil aggregate structure and stability, overcoming limitations of sole fertilization practices. Regression analysis suggested that ASI, MWD, and GWD positively correlated with soil organic carbon, whereas FD negatively correlated with MWD, GMD, and ASI. Principal component analysis exhibited that FD decreased with increasing soil organic carbon, ASI, MWD, and GMD, demonstrating that lower FD values indicate enhanced soil aggregation and structure. Assessed indices, FD included, effectively gauged soil structural stability. These metrics should be prioritized in managerial decisions to support soil productivity and health in agricultural systems.

WGCNA Reveals Hub Genes and Key Gene Regulatory Pathways of the Response of Soybean to Infection by Soybean mosaic virus.

Soybean mosaic virus (SMV) is one of the main pathogens that can negatively affect soybean production and quality. To study the gene regulatory network of soybeans in response to SMV SC15, the resistant line X149 and susceptible line X97 were subjected to transcriptome analysis at 0, 2, 8, 12, 24, and 48 h post-inoculation (hpi). Differential expression analysis revealed that 10,190 differentially expressed genes (DEGs) responded to SC15 infection. Weighted gene co-expression network analysis (WGCNA) was performed to identify highly related resistance gene modules; in total, eight modules, including 2256 DEGs, were identified. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of 2256 DEGs revealed that the genes significantly clustered into resistance-related pathways, such as the plant-pathogen interaction pathway, mitogen-activated protein kinases (MAPK) signaling pathway, and plant hormone signal transduction pathway. Among these pathways, we found that the flg22, Ca2+, hydrogen peroxide (H2O2), and abscisic acid (ABA) regulatory pathways were fully covered by 36 DEGs. Among the 36 DEGs, the gene Glyma.01G225100 (protein phosphatase 2C, PP2C) in the ABA regulatory pathway, the gene Glyma.16G031900 (WRKY transcription factor 22, WRKY22) in Ca2+ and H2O2 regulatory pathways, and the gene Glyma.04G175300 (calcium-dependent protein kinase, CDPK) in Ca2+ regulatory pathways were highly connected hub genes. These results indicate that the resistance of X149 to SC15 may depend on the positive regulation of flg22, Ca2+, H2O2, and ABA regulatory pathways. Our study further showed that superoxide dismutase (SOD) activity, H2O2 content, and catalase (CAT) and peroxidase (POD) activities were significantly up-regulated in the resistant line X149 compared with those in 0 hpi. This finding indicates that the H2O2 regulatory pathway might be dependent on flg22- and Ca2+-pathway-induced ROS generation. In addition, two hub genes, Glyma.07G190100 (encoding F-box protein) and Glyma.12G185400 (encoding calmodulin-like proteins, CMLs), were also identified and they could positively regulate X149 resistance. This study provides pathways for further investigation of SMV resistance mechanisms in soybean.

Utilization of Sonic Bloom Technology Combination of Compost Tea and Surfactants to Increase Soybean Productivity (Glycine max (L.) Merrill)

Purpose: The study aimed to determine the effects of organic compost tea liquid fertilizer, inorganic fertilizer, and surfactant application on soybean growth and the yield of sonic bloom technology. Method: The study was conducted in a greenhouse scheming factorial experiment with randomized block design (RBD). Findings and Conclusion: Likewise, the results indicated that the use of organic compost tea liquid fertilizer with a concentration of 15% enhanced the plant length, the number of leaves, and the leaf area, which were insignificantly different from the inorganic fertilizer growmore combined with surfactants. The yields of productive branches of 100 seeds weight, fresh weight, dry weight, and Harvest Index showed that 15% compost tea with surfactant gave identical decent results to growmore fertilizers with surfactants. Moreover, there was an increase in soybean productivity by 216% in scheming 15% compost tea combined with surfactants. Research implications: However, the result did not distinguish significantly from the use of liquid inorganic fertilizer grow more with recommended dose + surfactant increased by 219% from the potential production of soybean variety with Dega-1, which was 3.82 t/ha.

ANALYSIS OF COST OF GOODS PRODUCED AND VALUE-ADDED AT UMKM TEMPE "TROSOBO" TUBAN

Soybeans are a food commodity that contains high vegetable protein and is generally used for food consumption. To meet the demand for tempeh agroindustry that uses soybeans as the primary raw material, agroindustry players increase soybean production. However, they still need to meet this demand. Therefore, the government meets this demand by importing. The research was conducted at UMKM Tempe Trosobo, located in Jl. Brawijaya, Gang Yudistira No. 641, Kebonsari, Kec. Tuban, Kab. Tuban, East Java. This study aims to calculate the cost of goods produced using the Full Costing method and analyze the added Value generated by UMKM Tempe "Trosobo" Tuban from soybean processing. The methods used are the Full Costing method and the Hayami method. The results showed that the calculation of the cost of goods produced in the temple agroindustry of Tempe Trosobo UMKM using the complete costing method was IDR 4,300/piece with the total production of tempe produced as many as 22,500 pieces, and the selling price was IDR 5,100/piece. Processing soybeans into tempeh has a value-added result of IDR 11,925 / kg of raw material or 49%, and the added Value of tempeh is classified as high

Using Cover Crops as Means of Controlling Weeds and Reducing the Applied Quantity of Glyphosate-Based Herbicide in No-Till Glyphosate Tolerant Soybean and Corn

Weeds represent a serious drawback affecting the productivity of field crops worldwide. While the most common approach to control weeds in no-till practices is the use of glyphosate-based herbicides (GBHs), reducing their use represents a major challenge. This two-year field study aims to evaluate whether the use of cover crops (CC) in transgenic soybean and corn productions can (1) help control weeds and (2) reduce the amount of GBH needed for managing weeds. Sampling was carried out in 32 experimental field plots (four crop managements with four replicates on both crops). Crop managements consisted of GBH applications at rates of 0.84, 1.67, and 3.3 L ha−1 in plots in direct seeding with CC (DSCC) and at rates of 3.3 L ha−1 in plots without CC (DS). Weed cover rates, plant parameters (fresh and dry weights and heights), grain yields, water, and cation contents in soil were considered as indicators of interspecific competition. Results obtained in both years show that it is possible to reduce GBH use by 50% in plots with CC compared to plots without CC using a rate of GBH application of 3.33 L ha−1 (DS 3.3). However, weeds had a large impact on water content in soil, which was reflected by smaller plants and lower yields in plots with only 0.84 L ha−1 of GBH applied. In the context of the study, the use of CCs seems to facilitate the development of more sustainable agriculture while reducing the quantities of GBH generally used.

Analysis of Factors Influencing Output and Cost of Soybean Production: A Comparison between Contract and Non-contract Farmers in the Northern Region of Ghana

Contract farming has emerged as a crucial remedy for bolstering the prospects of small-scale soybean farmers in Ghana. Both governmental bodies and non-governmental organizations, including the Savanna Farmers Marketing Company (SFMC), the Northern Development Authority (NDA), and the Adventist Development and Relief Agency (ADRA), are actively engaging farmers in contracts to grow soybeans. This initiative is especially prominent in the Northern Region of Ghana. This study investigates the factors influencing the output and cost of soybean production, drawing a comparison between contract and non-contract farmers. The research employs stochastic frontier analysis (SFA) and translog functional forms to analyze data collected from 374 soybean growers. The findings reveal that farm size, labour, and agrochemical usage significantly impact soybean output for both contract and non-contract farmers. However, contract farmers exhibit increasing returns to scale, while non-contract farmers experience decreasing returns. Regarding production costs, the study identifies farm size, seed cost, agrochemical cost, and output as significant determinants for the pooled sample. Contract farmers' production costs are primarily influenced by farm size, seed cost, and agrochemicals, whereas non-contract farmers' costs are driven by farm size, seed cost, agrochemicals, and output. The analysis highlights the complementary and substitute relationships among input variables, providing valuable insights for policymakers and stakeholders in the soybean industry. The findings underscore the need for targeted interventions to enhance productivity and cost efficiency for both contract and non-contract soybean farmers.