Profitable Crop Research Articles

Evaluation of variability and principal component analysis in segregating populations of groundnut (Arachis hypogaea L.)

Groundnut is a favourable and profitable crop for resource-poor farmers in Africa and Asia, both for edible oil production and direct consumption. There is significant potential to breed high-yielding, better-quality groundnut cultivars by generating new variations through artificial techniques. In this study, the F2 generations of the crosses CO 7 × Chico and ICGV 07222 × Chico was analysed to assess the variability created through artificial hybridization in groundnut. The various yield and yield-related traits were analysed to estimate genetic parameters, skewness, kurtosis and subjected to principal component analysis (PCA). The variability study of the F2 population from both crosses revealed significant variations for the traits under study. The traits “days to accumulation of 25 flowers” and “shelling %” showed low GCV (genotypic coefficient of variation) and PCV (phenotypic coefficient of variation) in both populations. Most traits exhibited moderate to high heritability and genetic advance, whereas “days to accumulation of 25 flowers” and “maturity duration” had moderate heritability and low genetic advance. Only shelling % had low estimates of heritability and genetic advances. Tests for skewness and kurtosis revealed that both F2 population did not follow a normal distribution. The traits “days to maturity”, “shelling %”, “kernel yield,” and “hundred kernel weight” displayed significant positive skewness. The traits “days to accumulation of 25 flowers”, “number of matured pods”, “height of main axis”, “shelling %”, “hundred pods” and “hundred kernel weight” and “pod yield” showed platy- kurtosis, while “Kernel yield” displayed lepto-kurtosis in both populations. The first principal component explained 37 % and 32 % of the total variance in the 2 F2 populations respectively, with a focus on yield-related traits. The PCA biplot effectively clustered the genotypes based on the 10 different traits studied and clearly, grouped the population based on maturity duration. Thus, hybridization created significant variation in groundnut for all yield-related traits and yield, except for “days to maturity”. The traits require further enhancement using additional sources and could be improved through intense selection.

Production Analysis of Corn (Zea mays L.) in Agricultural District VII Valle de Bravo, State of MexicoV

Objective: Analyze corn production in Rural Development District (RDD) 7 “Valle de Bravo”, State ofMexico, focusing on the relationship between yield and sown area, as well as identifying factors that may affectthis production.Design/methodology/approach: Data from the Agri-Food and Fisheries Information System (SIAP) onsown area, production, and yield of corn (2003-2021) were used. Additionally, questionnaires were providedto RRD 7 producers. Statistical analyses were carried out with SPSS software and simple linear regressionmodels were applied to evaluate productivity and associated factors.Results: Corn yield showed linear growth; however, the sown area decreased as farmers have dedicatedthemselves to producing more profitable crops. Guaranteed prices per ton were deemed inadequate and highinput costs hindered agricultural production.Limitations: Farmers faced challenges such as high production costs and limited access to financial resources.Government programs offer some support for corn production; however, this is insufficient to address thestructural problems of the sector.Conclusions: A comprehensive strategy is needed to address the systemic challenges facing the corn sector.This includes measures to improve productivity, reduce production costs, ensure fair prices, promote cropdiversification and enhance access to resources and technologies that guarantee the long-term sustainability ofthe agri-food sector.

Study on Cost and Returns of Cash Crops in Sirmour District, Himachal Pradesh, India

The present study examines the cost and returns of major cash crops raised by different category of farmers in district Sirmour, Himachal Pradesh. The study also identified the different production problems faced by farmers using weighted rank method. Two stage stratified random sampling technique was followed to select a sample of villages and the ultimate farmers. A random sample of 60 farmers was chosen for the study. The major findings revealed that production of vegetables varied from 6.42 qtl for peas to as high as 25.93 qtl of tomato per farm. Garlic being a spice crop recorded the production of 14.37 quintal per farm. In the study, per hectare cost of cultivation was found to be highest for tomato, i.e., Rs. 34200, followed by garlic (Rs. 26134) and beans (Rs. 15427) and lowest for peas (Rs. 11247), The per hectare net return was found to be higher for garlic crop (Rs.115066) when compared to tomato crop (Rs. 55785), beans and peas (Rs. 17108 to Rs. 6703). Therefore, garlic crop was found to be the most profitable crop with the net return of Rs. 115066 which was more and double of profit earned from tomato (Rs. 55785), peas (Rs. 6703) and beans (Rs. 17108). Similarly, the cost of cultivation was found to be highest for the large farmers and the per hectare net return also seemed to be the highest for the large farmers. Likewise, gross returns were also found highest for large farmers than that of small farmers. Further, the study revealed that major production problems faced by the farmers were availability of quality seed, high cost of inputs which were rated at top, followed by monkey & stray animals, quality of seed not available, high cost of inputs and high incidence of pest and pesticides etc. In order to increasing farm production and to minimise operational costs, the availability of high yielding variety seeds, reasonable prices of inputs like seed, fertilizers, pesticides etc., may enhance the farmers’ net return and income.

Grafting and Inoculation of Grafted Plants With Bacillus amyloliquefaciens Enhances Biotic and Abiotic Stress Tolerance in Organic Tomato

Biotic and abiotic stress factors pose significant challenges to organic tomato production in Alabama and the southeastern United States. High temperature, drought, soil, and foliar-borne diseases have rendered it exceedingly difficult for organic tomato growers in Alabama to produce profitable crops. Our objective was to evaluate plant response to imposed biotic (Verticillium dahliae) and abiotic (drought) stress in the popular tomato variety ‘Roma’ through grafting unto the resistant rootstock ‘Maxifort’, and the incorporation of the plant growth-promoting rhizobacterium (PGPR) B. amyloliquefaciens, to mitigate challenges posed by these stress factors. The research was conducted in a greenhouse in north Alabama where both soilborne pathogens (V. dahliae) and drought stress treatments were applied. The experimental design was a split plot with 4 main plots (Grafting, PGPR, Grafting + PGPR, and Control) and 3 subplots (drought, pathogen, and control) treatments with 4 replications. B. amyloliquefaciens was applied in the rhizosphere of grafted and non-grafted plants at 1 × 108 CFU/ml/plant. Pathogen-treated plants were also inoculated with V. dahliae at 1 × 105 propagules/ml. The study revealed that grafting, and grafting + B. amyloliquefaciens caused a significant increase in stem girth, plant biomass, early flowering, and fruiting of tomatoes compared to the non-grafted and control treatments. Integrating grafting and PGPR could be beneficial in enhancing plant resilience and performance under biotic and abiotic stress conditions.

Research on Crop Planting Strategy Problem Based on Optimization Greedy Algorithm

This article proposes a planting optimization strategy that comprehensively considers crop profits, planting costs, yield per mu, and mutual constraint effects based on crop economic and geographical data from rural areas in North China from 2024 to 2030. By combining greedy algo rithm, K-means clustering analysis, and Pearson correlation analysis, we ensure that crop selection is both efficient and sustainable, while adhering to crop rotation principles to avoid repeated cropping. The results show that the optimized planting plan has a total profit of 86382 538.00 yuan between 2024 and 2030, an increase of 211.22% compared to the original strategy profit. The study not only verified the scientific and feasibility of the model, but also provided specific planting strategy suggestions for agricultural production, aiming to improve agricultural production efficiency and promote the sustainable use of land resources.

Evaluation on the Influence of Cropping Systems and Nutrient Management Practices in Pearl Millet (Pennisetum glaucum) Growth, Crop Nutrient Uptake and Soil Fertility Status

Background: At the present situations, sole croppingand generalized fertilization recommendations could not produce advantageous results for neither profitable crop production nor for a sustainable environment. Therefore, the study focuses on evaluating the response of pearl millet to various cropping systems and different nutrient management techniques for enhancing crop productivity and sustaining soil fertility. Methods: The field trial took place at the instructional farm of Karunya Institute of Technology and Science in the Coimbatore district of western Tamil Nadu, India. The trial spanned over two growing seasons and followed a factorial randomized block design, with 2 factors: cropping systems and nutrient management, replicated three times. The design resulted in a total of 12 treatment combinations, comprising 3 levels of cropping system viz., sole cropping of pearl millet, pearl millet with black gram and cowpea intercropping systems; and 4 levels of nutrient management comprising different doses of fertilizer levels in combination with biofertilizers such as Azospirillum and PSB and foliar sprays of 2% Urea and 3% Panchagavya. Result: The experimental findings indicated that intercropping treatment, Pearl millet + Black gram at a 1:1 ratio, exhibited superior results in enhancing plant growth, improving the crop nutrient uptakeand enriching soil fertility. In the case of nutrient management treatments, application of 75% of recommended dose of fertilizers (RDF) + Azospirillum and phosphate solubilizing bacteria + foliar application of 2% urea at 15 and 35 days after transplanting (DAT) resulted in producing higher plant height, enhanced dry matter production, efficient crop nutrient uptake, improved soil fertility status for sustainable agriculture.

A decision-making framework based on rain-fed crop suitability, water scarcity, and economic benefits for determination multiple-crop rotation strategy

Water scarcity under global climate change has impacted decreased agricultural productivity. Determining the suitable crop rotation strategy under water scarcity applicable to a specific region requires an evaluation of crop suitability, water scarcity, and economic benefits to farmers. This paper aims to improve agricultural productivity and economic benefits through crop rotation strategies under climate change. We developed seven crop rotation strategies, including rice, soybean, maize, and sweet potatoes, that were determined based on preliminary results of the crop suitability index using the EcoCrop model. The water scarcity index (WSI) in historical and future under climate change conditions is estimated using the CropWAT model. In addition, the economic benefit of each crop rotation strategy is evaluated. Finally, multi-criteria decision analysis (MCDA) using the Analytical Hierarchy Process (AHP) was employed to select the most suitable crop rotation strategy applicable to Taoyuan City, Taiwan, based on crop suitability assessment, water scarcity, and economic benefit analysis. Our result shows that WSI values are 0.37, 0.50, and 2.28 in the dry years of 2004, 2015, and 2020, respectively, due to decreasing rainfall and increasing temperatures. The 10-year and 20-year averages were 0.4 and 0.35, respectively, indicating that the issue of agricultural water scarcity is intensifying year by year. Cultivating sweet potatoes has less vulnerability to water scarcity by up to 90 % under climate change than rice. Sweet potatoes also generate farmers’ income, which increases by 338 %, considering both rain-fed and irrigation efficiency conditions. Finally, the MCDA-AHP revealed that sweet potatoes and soybean-maize rotation in Taoyuan City were the most suitable and profitable crops for cultivating in Taoyuan City, especially under high and severe agriculture water stress events. Implementing a crop rotation strategy involving sweet potatoes and soybean-maize can effectively mitigate the impact of climate change and extreme drought on crop yield and ensure a stable income for farmers. Integrated irrigation and crop rotation strategies are crucial for providing farmers and other stakeholders with more informed decision-making in agriculture sectors while enhancing water use efficiency.

Evaluation of Alley-cropping Agroforestry System and Conventional System of Agriculture on the Productivity of Cabbage (<i>Brassica oleracea </i>L.) in Dschang, West Region of Cameroon

Cabbage is one of the main vegetable crops grown in Cameroon. However, production is limited by rising prices and the scarcity of chemical fertilisers on the market. The rise in cost of fertilizers leaves some farmers reluctant to use fertilisers and as a result leads to lower yields, hence, low crop profitability. The aim of this study was to compare the two systems of agriculture; agroforestry system with the conventional system on the growth of cabbage (<i>Brassica oleracea</i> L.). Research plots were established on the campus of the University of Dschang, in the West Region of Cameroon. The comparisons were made on the basis of productivity, pest abundance and economic profitability. Data on yield and pest susceptibility variables were collected during the field trials. It was realised that the slug (<i>Deroceras reticulatum</i>) population was higher in the agroforestry system (4.62±2.41 slugs) than in the conventional system (1.03±0.55 slugs). The aphid population (<i>Brevicoryne brassicae</i>) was higher in the conventional cropping system (25.31±38.94 aphids) compared with the alley-cropping agroforestry system (0.71±0.62 aphids). Productivity variables showed that cabbage yield did not vary between the two production methods. It was 66.08 t/ha and 66.76 t/ha respectively for the agroforestry system and the conventional system. The economic analysis showed that the agroforestry system was more profitable than the conventional system. Thus, growing cabbage in an agroforestry system is an ecological and profitable strategy for agriculture that is more resilient to climatic variations.

Impact of Levels of Nutrient Management on Economics of Soybean-onion and Soybean-potato Cropping System

Background: Nutrient management and cropping sequence are two important factors which affect productivity and profitability of crop. Profitability is one the important part of the successful crop production. Soybean fixes atmospheric nitrogen in soil and partially fulfills the nitrogen requirement of succeeding crops. There is a need for a suitable substitute crop or cropping systems after soybean to improve the soil fertility and productivity to maximize the profitability. The plains of Maharashtra are well suited for onion and potato cultivation. There is scope for increasing the area, production and productivity of onion and potato crop. Majority of farmers in Maharashtra following soybean-wheat and soybean-chickpea crop sequence while in present investigation soybean is grown in sequence with vegetable crop such as onion and potato which could help to increase profitability through higher net return and B: C ratio. Methods: The experiment was laid out in split plot design with three replications. Six combinations of two crop sequences (soybean-onion and soybean-potato) and three levels of nutrient management viz., 50% RDF+FYM 5 t ha-1+ biofertilizer (N1), 75 % RDF+ FYM 5 t ha-1+ biofertilizer (N2) and 100 % RDF+ FYM 5 t ha-1+ biofertilizer (N3) were the main plot treatments in kharif season replicated three times in randomized block design. During rabi season each main plot treatment of nutrient management level was split into three sub plot treatments with three levels of recommended dose of fertilizer viz., 75% RDF (F1), 100% RDF (F2) and 125% RDF (F3) to rabi season crops resulting in eighteen treatment combinations replicated three times in split plot design. The data pertaining to growth characteristics, yield characteristics, economics of soybean (kharif) and onion or potato (rabi) was collected at regular interval in 2017-18, 2018-19 and 2019-20 at Agronomy Farm, Dr. PDKV, Akola which was analyzed statistically in SPD (split plot design). Result: Soybean-onion crop sequence registered higher profitability in terms of GMR, NMR and B: C in comparison with soybean - potato crop sequence. Soybean crop supplied with 100% RDN+ 5 t FYM ha-1 + Biofertilizer (Rhizobium japonicum+ PSB+ Tricoderma viridi) recorded highest GMR, NMR and B:C ratio over lower levels of treatments in all year experimentation. Rabi crops treated with 125% RDF recorded GMR, NMR and B:C ratio over lower levels of treatments in all years of experimentation.

Resistance in Soybean Against Infection by Phakopsora pachyrhizi Is Induced by a Phosphite of Nickel and Potassium.

Soybean (Glycine max (L.) Merr.) is one of the most profitable crops among the legumes grown worldwide. The occurrence of rust epidemics, caused by Phakopsora pachyrhizi, has greatly contributed to yield losses and an abusive use of fungicides. Within this context, this study investigated the potential of using a phosphite of nickel (Ni) and potassium (K) [referred to as induced resistance (IR) stimulus] to induce soybean resistance against infection by P. pachyrhizi. Plants were sprayed with water (control) or with IR stimulus and non-inoculated or inoculated with P. pachyrhizi. The germination of urediniospores was greatly reduced in vitro by 99% using IR stimulus rates ranging from 2 to 15 mL/L. Rust severity was significantly reduced from 68 to 78% from 7 to 15 days after inoculation (dai). The area under the disease progress curve significantly decreased by 74% for IR stimulus-sprayed plants compared to water-sprayed plants. For inoculated plants, foliar concentrations of K and Ni were significantly higher for IR stimulus treatment than for the control treatment. Infected and IR stimulus-sprayed plants had their photosynthetic apparatus (a great pool of photosynthetic pigments, and lower values for some chlorophyll a fluorescence parameters) preserved, associated with less cellular damage (lower concentrations of malondialdehyde, hydrogen peroxide, and anion superoxide) and a greater production of phenolics and lignin than plants from the control treatment. In response to infection by P. pachyrhizi, defense-related genes (PAL2.1, PAL3.1, CHIB1, LOX7, PR-1A, PR10, ICS1, ICS2, JAR, ETR1, ACS, ACO, and OPR3) were up-regulated from 7 to 15 dai for IR stimulus-sprayed plants in contrast to plants from the control treatment. Collectively, these findings provide a global picture of the enhanced capacity of IR stimulus-sprayed plants to efficiently cope with fungal infection at both biochemical and physiological levels. The direct effect of this IR stimulus against urediniospores' germination over the leaf surface needs to be considered with the aim of reducing rust severity.

Metabolic Profile Evolution of Citrus sinensis ‘Navelina’ Under Different Cultivation Techniques and Water-Saving Strategies

Citrus trees, particularly oranges, are a highly significant plant genus due to their consumption as fresh produce and the multiple compounds derived from them, which are extensively used in the food, cosmetic, and pharmaceutical industries. Despite recent advancements, the understanding of metabolic processes in the Citrus genus remains limited, especially in the context of variable agricultural practices. This study aimed to investigate the metabolomic evolution in leaves of sweet orange (Citrus sinensis) cultivated under different conditions over two key developmental periods: pre-winter (t1) and spring sprouting and flowering (t2). Using proton nuclear magnetic resonance (H-NMR) spectroscopy, this research identified 27 key metabolites across five distinct cultivation treatments (T0, T1, T2, T3, T4), including amino acids, organic acids, and sugars, and their variation over time. T0 represents the traditional crop of the control plot, while T1, T2, T3, and T4 incorporate different strategies aimed at water-saving, such as the use of weed control mesh and subsurface drainage systems, all designed to improve profitability and crop efficiency under the same soil and climatic conditions. The treatments were evaluated for their impact on plant growth parameters such as height, trunk diameter, and flower production, with a focus on reducing water usage without compromising crop performance. The results indicate that the use of weed control mesh significantly improves plant growth, increases flower production, and stabilizes key metabolite levels, contributing to a concept termed “plant metabolomic homeostasis.” These findings are particularly relevant in regions like southeastern Spain, where water scarcity is a major concern. The study provides compelling evidence that the implementation of weed control mesh in orange cultivation can enhance water efficiency, promote healthier plant development, and maintain metabolic stability under variable growing conditions. These results suggest that such agricultural practices could be recommended for broader commercial application in citrus cultivation to improve sustainability and crop profitability.

Exploration of Strawberry Fruit Quality During Harvest Season Under a Semi-Forcing Culture with Plants Nursed Without Chilling.

Strawberry, a profitable crop, adapts well to diverse environments. This study evaluated the stability of fruit quality in different strawberry varieties produced as green plants without chilling during the harvest season in northern Uruguay. The focus was on understanding the impact of harvest date versus agricultural practices (different orchards and growers) on key fruit quality variables such as color, firmness, sugars, and acidity. Results indicated that the INIA Yrupé variety showed greater stability in external coloration and sugar content across harvest dates, suggesting that standardizing fruit coloration is viable under challenging conditions. INIA Guapa consistently met minimum requirements for soluble solids and ratio, with stable acidity and red coloration. Firmness was positively correlated with ratio (r = 0.81) and negatively impacted by rainfall 2-3 days before harvest. The findings suggest that harvest date has a more significant impact on INIA Yrupé fruit quality than growing conditions or practices, with variability observed in firmness and ratio but minimal variation in fruit coloration. These insights highlight the importance of harvest timing for maintaining stable fruit quality traits, which is crucial for breeding programs and ensuring consistent sensory quality and crop profitability.

Profitability of Vegetable Cultivation under Groundwater Condition in Karnataka, India

The study assessed the profitability and water use efficiency of vegetable crops, specifically cabbage and cauliflower, in comparison to cereal crops like ragi and maize in Karnataka during 2020-2021. Data were collected from 120 farmers using a multistage purposive sampling design. The results indicated that vegetable crops had significantly higher gross and net returns than cereal crops. Additionally, the water use efficiency of cabbage and cauliflower was superior, meaning they utilized water more effectively to generate economic returns. The benefit-cost ratio also favoured the vegetable crops, demonstrating that they were more profitable compared to ragi and maize. Overall, the findings highlighted that under groundwater conditions, vegetable crops performed better in terms of profitability and water efficiency, suggesting that promoting vegetable cultivation could enhance farm incomes and optimize water use in Karnataka.

Trend and Pattern of Costs and Varying Profitability and Determinants of Paddy Crop in Eastern India: A Fixed Effect Approach Using Cost of Cultivation Data

Trend and Pattern of Costs and Varying Profitability and Determinants of Paddy Crop in Eastern India: A Fixed Effect Approach Using Cost of Cultivation Data

Can repellent crops reduce the abundance of the common vole (Microtus arvalis) as a way to reduce crop damage?

The common vole is one of the most damaging rodents in agriculture. A number of methods are used to suppress its numbers and limit damage. One option is growing crops that are not suitable for voles; this might limit their numbers and distribution. Through long-term monitoring of common voles throughout the Czech Republic, their abundance in eleven crop types (annual, biennial and perennial crops) was evaluated through active burrow counts. Reference crops were selected from perennials and biennials and annual crops were selected as potential repellents. The perennial crops were clover with alfalfa, which serve as the primary habitat for voles. These crops are where voles are found in their highest densities, and from which they spread to the surrounding crops during periods of high abundance. The biennial winter rape was selected because it provides favourable conditions for voles to overwinter and multiply rapidly in the spring. Compared to perennial crops and winter rape, significantly lower numbers of voles were found in onions, poppy seeds and maize. Additionally, fewer voles were also found in mustard compared to perennial crops. Onion and poppy were the only crops to show a significantly lower abundance of voles in comparison to wheat. The annual crops tested are unattractive to voles and due to the cultivation practices used, they do not even have enough weeds as food. As profitable crops they can be cultivated over sufficiently large areas to potentially prevent the spread of voles to surrounding crops, especially during outbreak years.

Study Report on Optimum Utilisation Plan of Ngoma 22 Irrigation Scheme

The study was conducted in Ngoma 22 irrigation scheme located in Remera and Rurenge sectors of Ngoma District in Eastern Province of Rwanda between November 2018 and January 2019. It was recommended by RAB Board of Directors. The methodology used encompasses the study area, sampling procedures, data collection and analysis tools. The main data collection tool used was FGD which targeted site agronomists and household head farmers producing rice, fruits and vegetables as high value crops in the scheme area. Through pair wise ranking technique most profitable cash crops in the scheme were ranked as follows: (1) tree tomato, (2) maracuja, (3) egg plants, (4) water melon, (5) tomato, (6) irish potatoes, (7) french beans, (8) onions, (9) carrots, (10) cabbages, (11) beetroots. From this point of views, findings from the study show only two most profitable crops: maracuja with 696 Frw/kg followed by tree tomato with Frw 249 Frw/kg. The third ranked cash crop being Irish potato (with a loss of -40 Frw/kg), the fourth is egg plant with a loss of- 177 Frw. The existing paddy rice production has shown a loss of – 270 Frw inspite the water availability all the year-round. Maize and bush bean show respectively losses of -543 Frw/kg and -1743 Frw. Hence it is understandable why farmers in the scheme area have already abandoned maize and beans cultivation. Findings show also water fees (20,000 Frw/season) determined based on maintenance costs and farmers income. For capacity building model, more than one thousand beneficiary farmers in Ngoma 22 Irrigation Scheme need strong farmer organisation for ownership of the scheme and increased profitability. To that effect, they need continued capacity building as stated in the tripartite IMTA: administrative and financial management, record keeping, and conflicts resolution management, integrated water management, operation and maintenance of irrigation infrastructures, best agricultural practices for sustainable farmers’ organisations and commercial farming. Key recommendations include fixing minimum prices for agricultural products in relation to costs of production- or setting subsidy prices, increase yield for each crop by meeting all requirements: lime, fertilisers and improvement of irrigation technologies in order to reach automatically increased yield. Farmers should continue to leave out traditional crops and adopt profitable cash crops identified in this study (e.g maracuja and tree tomato). They should also increase the ownership spirit through IWUA and cooperatives performance. They should adopt collective marketing of their products and pay water fees per season.

A comparative study of yield components and their trade-off in oilseed crops (Brassica napus L. and Brassica carinata A. Braun)

Canola (Brassica napus L.) and carinata (Brassica carinata A. Braun) are two oilseed crops that have seen a surge in demand in recent years. However, current yields achieved by farmers are inconsistent and significantly lower than those achieved in research experiments. Therefore, a better understanding of the trade-off between yield components is crucial to help breeders develop new high-yielding cultivars and for farmers to manage their crops more effectively. Unfortunately, scientific literature focused on trade-offs between yield components in rapeseed is scarce for canola and lacking for carinata. To address this issue, we conducted field experiments in Uruguay over three consecutive seasons (2016–2018) using the cultivars “Rivette” and “Avanza 641” for canola and carinata, respectively. Our goal was to study yield compensation and determine the comparative performance of canola and carinata across a wide range of sowing dates. Our results showed that carinata yields ranged from 854 kg ha−1 to 7283 kg ha−1, while canola yields ranged from 1152 kg ha−1 to 4489 kg ha−1. Higher biomass production was linked to increased yields in carinata, while an increase in biomass did not necessarily result in higher yields in canola due to a harvest index reduction. Carinata yield was positively correlated with grain number, silique number, and grains per silique. In canola, moderate to large yield changes were primarily influenced by grain number and grain weight, as silique number had a negative trade-off with yield, while grains per silique had a neutral relationship with yield. Our study revealed a distinct yield building process in canola and carinata, despite the general belief that they share physiological similarities and can be managed alike. These findings enhance our understanding of crop knowledge and management, potentially leading to increased crop productivity, and generate more effective breeding programs. Enhancing the yield performance of canola and carinata will position them as economically profitable crops, allowing for greater crop diversification and meeting the growing global demand for biofuels.

INTERRELATION OF YIELD AND ITS COMPONENTS IN COTTON (Gossypium hirsutum L.) GENOTYPES

Cotton is regarded as a profitable crop that gives people fiber and shelter. Research focuses on how yield, its components, and related attributes work together to enhance cotton. During the Kharif season of 2022, the present study was completed, implementing a randomized complete block design with ten genotypes and three replications. The study took place at the Nuclear Institute of Agriculture (NIA), located in Tandojam. This work aimed to examine the correlation and regression between upland cotton genotypes and heritability estimates for traits associated with yield. The outcomes showed that all of the parameters in the mean square of the ANOVA were significant. In contrast to the remaining genotypes, genotype FH-142 displayed the most favorable performance; it had the tallest plants, more sympodial branches, more bolls per plant, an improved seed index, and the longest staple length. The genotype CRIS-342 came in second, exhibiting good plant height, sympodial branches, a good number of bolls per plant, a ginning outturn, and the highest boll weight among the other genotypes. The findings of the correlation and regression indicated that the number of bolls per plant-1 had a highly significant and positive relationship with monopodial branches plant-1 (r = 0.73*) and (b = 2.45) and that the number of bolls per plant had a strong relationship with seed cotton yield plant-1 (r = 0.83**) and (b = 3.29). Staple length and seed cotton yield plant-1 had a negative correlation (-0.77*) with regression (b = -4.58). The highest heritability estimates in the broad sense are for monopodial branch plants (84.61), ginning outturn% (97.03), bolls plant-1 (93.96), plant height (90.70), staple length (79.31), and seed index (71.42). However, the boll's weight showed a low heritability (23.71). Further breeding programs can utilize genotype FH-142 to increase the number of sympodial branches, increase the number of boll plants, and improve the staple length. Genotype CRIS-342 can be utilized for medium-stature plant height, boll weight, and better ginning outturn. However, genotype NIA-BT-40 can be utilized for short-strategy plants with the highest ginning output.

Leveraging Cloud and Distributed Computing for Enhanced Precision Agriculture: A Yield Mapping Perspective

Abstract: This article explores the transformative impact of cloud and distributed computing technologies on precision agriculture, with a specific focus on enhancing yield mapping capabilities. Yield mapping, a critical component of modern farming, faces challenges such as data accuracy issues, data loss, edge effects, and temporal variability. The integration of cloud-based solutions and distributed computing addresses these challenges by facilitating the storage, processing, and analysis of large-scale agricultural datasets. Real-time processing and advanced analytics, powered by machine learning algorithms, enable farmers to gain deeper insights into spatial and temporal variations in crop performance. The article discusses the development of user-friendly interfaces and reporting tools that aid in yield map interpretation, as well as the integration of yield data with farm management systems for optimized decision-making. Furthermore, it examines the impact of these technologies on promoting sustainable farming practices, improving crop profitability, and reducing environmental footprints. The article also delves into future directions, including emerging technologies and potential obstacles to widespread adoption. By leveraging cloud and distributed computing, yield mapping evolves from a mere data collection tool to a sophisticated decision support system, paving the way for more efficient, profitable, and sustainable agricultural practices in the face of growing global food demand and environmental challenges.

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).