Different Stages Of Crop Growth Research Articles

Short-term influence of biochar on soil temperature, liquid moisture content and soybean growth in a seasonal frozen soil area

In the past decade, the application of biochar in agricultural soils has attracted wide attention. However, few studies have carefully explored the effects of biochar modification on plant leaf nutrients and the physiological process of plant leaves. To provide a better growing environment for crops and explore the best regulation mode of biochar in the farmland soil environment in the typical black loam area of Heilongjiang Province, through field experiments, we selected soybeans as the test crop and applied biochar in the soil. The agronomic characteristics and soil conditions of soybean plants were monitored by stage. The effects of different application methods and biochar gradients on the water and heat changes in soil tillage layers during different growth stages of crops were discussed, and the subtle differences of agronomic characteristics in different growth stages of crops were compared. The results showed that all kinds of biochar application modes could not change the general trend of water and heat change in soil tillage layer affected by environmental factors, and the effect of biochar application on soil liquid moisture content at 20 cm soil layer was not obvious. Biochar application can increase plant height and reduce stem diameter, but the effect is non-linear. The leaf nitrogen content (Leaf N-content) and leaf chlorophyll relative content (SPAD) were vertically distributed in the canopy, but they did not change significantly with the change of biochar application rate and mode. The application of biochar in autumn may bring crops into maturity earlier. Under the biochar application rate of 9 kg m−2, the mixed application in spring and autumn can bring the best biochar application effect.

Assessment of genetic variability, heritability and genetic advance for physio-biochemical and root traits in groundnut (Arachis hypogaea L.) under irrigated conditions

Crop: Groundnut is one of the proteins and oil-producing legume crop of arid and semi-arid regions of the world. The Objective of the study: To estimate the genotypic coefficient of variation, heritability and genetic advance for physio-biochemical and root related traits among groundnut germplasm under the irrigated condition and To put guideline to establish a breeding program for developing genotype (s) with higher yield using suitable selection criteria through genetic variability studies.Research location and season: The College of Horticulture, Hiriyur during rabi 2016-17. Experimental design: Randomized complete block design with two replications. Methodology: forty groundnut genotypes including ICRISAT based advanced breeding lines and existed cultivars were evaluated under field condition. The crop was taken care of as per the standard recommended package of practices. Data was recorded on physio-biochemical and root related parameters at different stages of crop growth. The resulted mean data was subjected to statistical analysis using Genstat 14.1 software. Results: Results revealed highly significant differences for all the traits under study indicating the presence of genetic variation among the genotypes. The characters like MSI (99.89 & 112.99%), leaf phenols (99.63 & 74.26%), seed phenols (99.06 & 73.05%) and root to shoot ratio (86.19 & 21.04%) exhibited high heritability coupled with high genetic advance over mean. Conclusion: It can be concluded that the presence of additive gene action in governing these traits. Thus, there is ample scope for improving these characters based on the direct selection from the genetic stock studied which means if these characters are subjected to any selection scheme for exploiting fixable genetic variance; a widely adopted genotype can be developed.

Fertilizer management through coated urea to mitigate greenhouse gas (N2O) emission and improve soil quality in agroclimatic zone of Northeast India.

Agricultural soils are an important source of greenhouse gas nitrous oxide (N2O) emission. The comprehensive effects of nitrogen fertilizer management on N2O emission from paddy fields of India have not been evaluated under field conditions. A 2-year field study was conducted to evaluate the effect of different nitrogen fertilizers, namely, conventional fertilizer (NPK), starch-coated urea (SCU), neem-coated urea (NCU), and normal urea alone (NUA) on soil quality, grain yield, and N2O emission from rice field. Gas samples were collected from the field at weekly intervals by static chamber technique and analyzed in a gas chromatograph. During the crop-growing season, the application of NPK resulted in the highest cumulative N2O emission (2.49kg N2O-Nha-1) followed by NUA (2.34kg N2O-Nha-1), NCU (2.20kg N2O-Nha-1), and SCU (1.97kg N2O-Nha-1). As against the application of conventional fertilizer (NPK), the application of SCU and NCU reduced the total N2O emission by 21% and 12%, respectively (p < 0.05), during the rice-growing period. The results indicate a good correlation of N2O emissions with soil organic carbon, soil mineral nitrogen, and urease activity (p < 0.05) at different stages of crop growth. Application of SCU significantly increased the rice grain productivity by 12%, 10%, and 3% over NPK (control), NCU, and NUA respectively without affecting the soil quality and nutrient status. The use of SCU improved the nitrogen use efficiency (NUE) and was the effective substitute for conventional fertilizer in terms of reducing N2O emissions from tropical rice paddy.

Crop Insurance Based on Satellite Remote Sensing: Case of Migori County, Kenya

Crop insurance, though clearly needed, has not taken root in Kenyan agriculture, and what little exists is indemnity based, meaning that a farmer is compensated only based on assessed crop damage or harvest shortfall. This is often cumbersome and expensive for the average subsistence farmer. A better approach is to use index based insurance, whereby an agreed index is computed and the farmer is compensated or not compensated depending on its value. Remote sensing technology, which is now widely available globally, provides such an index, the Normalized Difference Vegetation Index (NDVI), which is an acknowledged indicator of crop health at different stages of crop growth. This paper reports on a study carried out in mid-2019 to investigate the possibility of applying remote sensing in this way to enable crop insurance for maize farmers in Migori County, Kenya. Sentinel 2 imagery from May 2017 (taken as the insurance year) was acquired, classified and NDVI generated over the study area. An 8 Km × 8 Km grid was overlaid and average NDVI computed per such grid cell. Similar imagery for May 2016 was acquired and similarly processed to provide reference NDVI averages. For any grid cell then, if Ap be the insurance year NDVI and Ar the reference NDVI, the insurance index was computed as (Ap - Ar), and farmer compensation would be triggered if this value was negative. Results show that out of about 85 small holder farms in the study area, 30 would have qualified for such compensations. These results are recommended for further refining and pilot testing in the study area and similar maize growing areas.

MANAGING FUSARIUM WILT OF PEA BY UTILIZING DIFFERENT APPLICATION METHODS OF FUNGICIDES

Fusarium wilt of pea is an ubiquitous disease of pea in all peas growing areas. The disease is able to cause hundred percent yield losses under favorable conditions. Multiple management approaches are in use to control this soil pathogen on different growth stages of crop, in which chemical control is providing quick response. This study was designed to evaluate different fungicides and their application methods to inhibit the pathogenic growth and development. Moreover, minimum effective concentration of fungicides against wilt disease of pea was also evaluated. Both in vitro and in vivo bio assays were designed to test the fungicidal efficacy. During in vitro assay minimum effective concentration of 10ppm from four fungicides Thiophanate methyl, Acrobat, Matalyxal and Fosetyl aluminium was evaluated. In green house assay flooding method was proved more affective against wilt disease of pea. The fungicides application showed significantly lower disease incidence as compared to untreated control. Acrobate provided more appreciable response to decrease disease incidence during flooding method and Fosetyl aluminum showed good efficiency in inhibition of pathogen during seed treatment and spraying method. Plant growth parameters were also measured and significant improvement was observed in growth response of treated plants as compared to untreated control. The results showed that fungicides can provide efficient control measures against pea wilt disease by utilizing appropriate application method.

Essential Oil Composition at Different Plant Growth Development of Peppermint (Mentha x piperita L.) Under Water Deficit Stress

Peppermint is one of the most important and commonly used medicinal and aromatic plants worldwide. Present experiment was conducted to evaluate the essential oil content and quantitative changes of the main components of peppermint plants at different stages of crop growth. Greenhouse pots with peppermint Plants (30, 60 and 90 days after transplanting) were subjected to three different field capacity (FC) irrigation conditions, i.e. no stress, mild stress (60±5 % FC) and moderate stress (40±5 % FC) for one month. Essential oil composition and accumulation in peppermint was differentþ by plant growth stage alterations. The proportions of some monoterpene such as menthofuran, limonene, and pulegone decreased as plant matured, while those of menthol, cineole, and neomenthol increased. Both mild and moderate water stresses changed the essential oil content. Essential oil content of plants subjected to mild stress increased while moderate water stress treatment caused a significant reduction in essential oil content in different plant growth stage. Moderate stress reduced the essential oil percentage and changed the essential oil profile. Menthone content decreased and menthofuran content increased under moderate stress. Also, relative proportions of sesquiterpenes increased with water stress.

EFFECT OF FOLIAR APPLICATION OF BORON AT DIFFERENT STAGES OF CROP GROWTH ON NUTRIENT UTILIZATION AND YIELD OF RICE (Oryza sativa L.)

A field experiment was conducted during Kharif season of 2016 on research plot of Udai Pratap (Autonomous) College, Varanasi (U.P.) to study the effect of foliar application of boron at different stages of crop growth on rice (Oryza sativa L.). The experimental soil was sandy loam having available nitrogen 144 kg ha−1, available phosphorus 12.2 kg ha−1, available potassium 165 kg ha−1 and available (hot water extractable) boron 0.17 ppm. The experiment was carried out in randomized block design (RBD) with six treatments and three replications. Treatments were T0= RDF, T1= RDF + B @ 1.5% at TFG stages, T2= RDF+ B @ 1.5% at TF stages, T3= RDF + B @ 1.5% at TG stages, T4= RDF + B @ 2.0% at T stage, T5= RDF + B @ 1.5% at FG stages (RDF=Recommended dose of fertilizers, T= Tillering; F= Flowering; G= Grain filling). Significantly highest grain (42.0 q ha−1) and straw (94.87 q ha−1), yield was recorded with two foliar sprays @ 1.5% boron at tillering and grain filling stage as compared to control or other treatments. The same treatment also registered maximum nutrient (N, P, K and B) uptake by plant and grain.

Optimization of plug size for mechanical transplanting of solanaceous vegetables

Studies were conducted on raising plug type nursery of solanaceous vegetable crops i.e tomato, brinjal, and chilli in three different cell sizes and two different media at different stages of crop growth for mechanical transplanting. The cell volumes of the three cells (C) studied were: 63.8 cm3 (C1), 18.70 cm3 (C2), and 16.28 cm3 (C3). Coco-peat, vermiculite and perlite in the ratio of 3: 1: 1 on volume basis (M1) and another media (M2) developed by Punjab Agricultural University (composition undisclosed) were studied. Same level of all plant growth parameters of tomato; plant height and spread diameter of brinjal; and stem diameter of chilli was achieved one stage earlier by using larger size cell C1 as compared to smaller cells C2 and C3, for the same media. Although higher values of stem diameter of brinjal, plant height and spread diameter of chilli were observed with the use of larger cell C1 as compared to smaller cells C2 and C3 for the same media, yet the effect of the cell size on these parameters was less pronounced. The use of media M2 instead of M1 in similar cells advanced the plant growth of tomato, brinjal, and chilli in terms of: plant height by 24 days, 50 days and less than 20 days respectively; stem diameter by less than 24 days, 65 days and 40 days, respectively; and spread diameter by 24 days, 65 days, and less than 20 days respectively. Plucking rating was highest in lowest cell size (C3) with media (M2) at higher stage of plant growth for all the crops.

Stability of expression of Cry1Ac and Cry2Ab2 proteins in Bollgard-II hybrids at different stages of crop growth in different genotypes across cropping seasons and multiple geographies.

Bollgard-II cotton expressing Cry1Ac and Cry2Ab2 insecticidal proteins has been commercially cultivated in India since 2006 to control bollworms. These genes were introgressed into parental germplasm of numerous hybrids. Therefore, it is imperative that these insecticidal proteins are expressed in sufficient quantities in different tissues, throughout the season irrespective of genetic background or environmental conditions for effective performance. Here, we document results of a comprehensive study on pattern of expression of Bt proteins across different stages of crop growth in > 2000 cotton hybrids (Gossypium hirsutum), across 12 cropping seasons tested in the Northern, Southern or Central zones in India, in terminal leaf, pre-candle square and boll epicarp tissues. Statistical analysis of variability using Linear mixed effect model was used to estimate factors contributing to variability in expression of Bt proteins. For Cry1Ac, variability was maximally contributed by genotype×season×plant growth stage effect in terminal leaves and boll epicarp, while season effect drove variability in pre-candle square. In Cry2Ab2, season effect drove variability in three tissue types. Pre-candle square tissue had most variability in expression of both proteins followed by terminal leaf and boll epicarp. Further, expression of Bt proteins in 234 G. hirsutum×G. barbadense hybrids showed similar expression patterns as intra specific hybrids though there was a significant difference in expression levels. Cry2Ab2 was expressed in significantly higher amounts when genes were in homozygous state. Bt proteins were also found to be expressed in varied amounts in different tissues and were expressed even when hybrids were grown at sub-optimal temperatures.

Predicting soil and plant water status dynamic in olive orchards under different irrigation systems with Hydrus-2D: Model performance and scenario analysis

The paper analyzes the performance of Hydrus-2D model to simulate the dynamic of soil water contents and transpiration fluxes in an olive orchard in which two different irrigation systems were used in 2011 and 2012. The relationship between measured midday stem water potential, MSWP, and simulated relative transpiration (ratio between simulated actual and maximum crop transpiration), Ks, was also identified with the aim to use the model for crop water status predictions. Finally, a scenario analysis was carried out for irrigation management purposes, by considering the level of crop water stress achieved in the different phases of the vegetative growth. The results evidenced that active roots (d < 2.0 mm) are mainly localized along the tree row where is installed the drip irrigation pipe, with concentrations that tended to decrease at increasing depth and with the distance from the plant row. Moreover, Hydrus-2D model is generally able to reproduce the trends of measured soil water contents at different distances and depths from the plant row with RMSE equal to 0.04 cm3 cm−3 in 2011 and 0.09 cm3 cm−3 in 2012, because of the inadequate schematization of the root system, that could have changed according to the different irrigation system. Moreover, the model was also suitable to estimate actual transpiration with RMSE values, in the two years, of 0.09 and 0.05 mm. It was also observed that measured MSWPs are linearly correlated to the ratio between actual and maximum transpiration; under the examined conditions in fact, reductions of MSWP from −1.5 MPa to −3.1 MPa determined a decline of actual transpiration from about 86% to 50% of maximum. Finally, the performed scenario analysis evidenced the potential of the model to identify crop water status during the different stages of crop growth, that can be used to identify irrigation strategies aimed to cope with water scarcity.

Effect of Crop Residue and Nutrient Combination on Soil Sulphur Dynamics at Different Stages of Crop Growth Under Maize - Wheat Cropping System

Effect of Crop Residue and Nutrient Combination on Soil Sulphur Dynamics at Different Stages of Crop Growth Under Maize - Wheat Cropping System

Influence of Temperature and Water Activity on Deleterious Fungi and Mycotoxin Production during Grain Storage

Cereal grains are the most important food source for humans. As the global population continues to grow exponentially, the need for the enhanced yield and minimal loss of agricultural crops, mainly cereal grains, is increasing. In general, harvested grains are stored for specific time periods to guarantee their continuous supply throughout the year. During storage, economic losses due to reduction in quality and quantity of grains can become very significant. Grain loss is usually the result of its deterioration due to fungal contamination that can occur from preharvest to postharvest stages. The deleterious fungi can be classified based on predominance at different stages of crop growth and harvest that are affected by environmental factors such as water activity (aw) and eco-physiological requirements. These fungi include species such as those belonging to the genera Aspergillus and Penicillium that can produce mycotoxins harmful to animals and humans. The grain type and condition, environment, and biological factors can also influence the occurrence and predominance of mycotoxigenic fungi in stored grains. The main environmental factors influencing grain fungi and mycotoxins are temperature and aw. This review discusses the effects of temperature and aw on fungal growth and mycotoxin production in stored grains. The focus is on the occurrence and optimum and minimum growth requirements for grain fungi and mycotoxin production. The environmental influence on aflatoxin production and hypothesized mechanisms of its molecular suppression in response to environmental changes are also discussed. In addition, the use of controlled or modified atmosphere as an environmentally safe alternative to harmful agricultural chemicals is discussed and recommended future research issues are highlighted.

Monitoring and Precision Spraying for Orchid Plantation with Wireless WebCAMs

Through processing images taken from wireless WebCAMs on the low altitude remote sensing (LARS) platform, this research monitored crop growth, pest, and disease information in a dendrobium orchid’s plantation. Vegetetative indices were derived for distinguishing different stages of crop growth, and the infestation density of pests and diseases. Image data was processed through an algorithm created in MATLAB® (The MathWorks, Inc., Natick, USA). Corresponding to the orchid’s growth stage and its infestation density, varying levels of fertilizer and chemical injections were administered. The acquired LARS images from wireless WebCAMs were positioned using geo-referencing, and eventually processed to estimate vegetative-indices (Red = 650 nm and NIR = 800 nm band center). Good correlations and a clear cluster range were obtained in characteristic plots of the normalized difference vegetation index (NDVI) and the green normalized difference vegetation index (GNDVI) against chlorophyll content. The coefficient of determination, the chlorophyll content values (μmol m−2) showed significant differences among clusters for healthy orchids (R2 = 0.985–0.992), and for infested orchids (R2 = 0.984–0.998). The WebCAM application, while being inexpensive, provided acceptable inputs for image processing. The LARS platform gave its best performance at an altitude of 1.2 m above canopy. The image processing software based on LARS images provided satisfactory results as compared with manual measurements.

Stochastic Dynamic Programming‐Based Approach for Optimal Irrigation Scheduling under Restricted Water Availability Conditions

AbstractThis study presents an optimization approach for irrigation scheduling across the different growth stages of crops and estimates crop yield functions considering evapotranspiration uncertainty and water scarcity. A stochastic dynamic programming (SDP) model is developed in which the restriction on total water availability is explicitly accounted for by an additional state variable. The model is used to derive optimal 10‐day allocation policies and maximize the expected value of annual yield as the objective function. The application of the proposed approach is illustrated in a multi‐crop realistic case downstream of Zayandeh‐Rud Dam, in the central plateau of Iran. Simulation of the derived optimal policies shows the significance of the proposed methodology compared with a deterministic linear programming‐based approach. Copyright © 2017 John Wiley &amp; Sons, Ltd.

Effect of climatic factors on cash crop farming in India: an application of Cobb-Douglas production function model

Research studies conducted hitherto have shown that climatic factors are changing at global level. Most of the studies have arrived at that climatic factors have a significant influence on cropped area, production and yield of crops in farming. In India, few studies have estimated the association of climatic and non-climatic factors with cropped area, production and yield during different stages of crop growth. Therefore, the present study assesses the influence of climatic factors on cropped area, production and yield of major cash crops in India. Moreover, it estimates the projected production, yield and cropped area of crops using marginal impact analysis technique. Cobb-Douglas production function model has been applied to state-wise panel data for the period 1971-2013. Empirical results of the study show that cropped area of groundnut and sesame crops have decreased by 13.87% and 23.50% respectively. Production of groundnut and cotton crops have also come down by 9.83% and 41.09% respectively; and yield of potato, groundnut, sesame and cotton crops have subsided by 3.71%, 10.31%, 4.51% and 7.20% respectively due to 1% increase in climatic variables. Consequently, climate change has resulted in reduction in farmer's income, job opportunities for rural labourers and raw materials for agro-based industries in India. It provides several policy suggestions to mitigate the adverse effect of climate change on crop farming.

Improving pearl millet for drought tolerance – Retrospect and prospects

Drought stress is the most important production constraint of pearl millet (Pennisetum glaucum) in sub-Sahara Africa and south Asia where it is the staple diet and cheaper source of nutritious food for more than 90 million people. A much greater necessity therefore exists for improving pearl millet for drought-prone areas to attain food security in resourcelimited and fragile ecosystems. An attempt is made here to review the progress made in understanding the adaptation mechanism of pearl millet to drought situation and then to appraise how this knowledge has been used in improving drought-tolerance of pearl millet. A good amount of work has been accomplished in understanding the response of pearl millet to drought imposed at different growth stages of crop in order to understand its adaptation to drought stress. The foremost issues that have been addressed in breeding for enhanced drought tolerance in pearl millet are nature of base germplasm used, selection criterion, and representation of target environment during development, testing and evaluation of cultivars. Recent advancement in development and application of genomic tools in pearl millet is expected to improve the efficiency of breeding for improved drought tolerance. The major achievements in developing pearl millet specifically for drought conditions include identifying genetic material with built-in tolerance, developing early maturing cultivars, assigning importance to both grain and stover yields while releasing the cultivars, and identification of quantitative trait loci associated with drought tolerance. Prospects of further improvement of pearl millet for drought-prone areas are also discussed in this review.

High Throughput Field Phenotyping of Wheat Plant Height and Growth Rate in Field Plot Trials Using UAV Based Remote Sensing

There is a growing need to increase global crop yields, whilst minimising use of resources such as land, fertilisers and water. Agricultural researchers use ground-based observations to identify, select and develop crops with favourable genotypes and phenotypes; however, the ability to collect rapid, high quality and high volume phenotypic data in open fields is restricting this. This study develops and assesses a method for deriving crop height and growth rate rapidly from multi-temporal, very high spatial resolution (1 cm/pixel), 3D digital surface models of crop field trials produced via Structure from Motion (SfM) photogrammetry using aerial imagery collected through repeated campaigns flying an Unmanned Aerial Vehicle (UAV) with a mounted Red Green Blue (RGB) camera. We compare UAV SfM modelled crop heights to those derived from terrestrial laser scanner (TLS) and to the standard field measurement of crop height conducted using a 2 m rule. The most accurate UAV-derived surface model and the TLS both achieve a Root Mean Squared Error (RMSE) of 0.03 m compared to the existing manual 2 m rule method. The optimised UAV method was then applied to the growing season of a winter wheat field phenotyping experiment containing 25 different varieties grown in 27 m2 plots and subject to four different nitrogen fertiliser treatments. Accuracy assessments at different stages of crop growth produced consistently low RMSE values (0.07, 0.02 and 0.03 m for May, June and July, respectively), enabling crop growth rate to be derived from differencing of the multi-temporal surface models. We find growth rates range from −13 mm/day to 17 mm/day. Our results clearly display the impact of variable nitrogen fertiliser rates on crop growth. Digital surface models produced provide a novel spatial mapping of crop height variation both at the field scale and also within individual plots. This study proves UAV based SfM has the potential to become a new standard for high-throughput phenotyping of in-field crop heights.

Non-destructive models to estimate leaf area on bell pepper crop

ABSTRACT: The leaf area determination are extremely important in agronomic and physiological studies, as they provide valuable information in vegetable metabolism, methods used for this purpose should be accurate. This study aimed to develop polynomial models to estimate leaf area (LA). The methods used were leaf discs and ImageJ(r) software, with measures of length (L), width (W), and relationship between length times width (LW) in leaves of the bell pepper crop in two field trials with two hybrids: Arcade and Impacto, as well as, the correlation of values found when using the two methods. Through a random sampling, 560 leaves from each hybrid were selected, at different stages of crop growth. Regression analysis of LA versus measures L, W and LW were performed by linear and quadratic models. The variable that best estimated LA was the relationship between LW with linear model (r2=0.98). Measurements of length and width of leaves presented adjustment to quadratic model r2=0.93 and r2=0.91, respectively. The integrator model for all samples and both hybrids was: LA=0.57×LW. The destructive method of leaf discs showed high correlation (r2=0.99) with the non-destructive method of ImageJ(r) software.

English

Wheat is one of the most important cereal crops in the world. The objectives of this study were: (i) to evaluate the solvent retention capacity of wheat flour from three genotypes when nitrogenous fertilizer is applied at different stages of crop growth; and (ii) to evaluate the possible existence of correlations between different solvents when nitrogenous fertilizer is applied at different stages of crop growth. The experiment was conducted from June to November 2013 in Plant Breeding Laboratory and Plant Production, Federal University of Santa Maria, the experimental area is located at Frederico Westphalen, southern Brazil. The experiment consisted of 12 treatment combinations (3 genotypes and application of nitrogenous fertilizer at 4 crop growth stages) of a 3x4 factorial (genotype x nitrogenous fertilizer application) arranged in a randomized complete block design with three replications. The genotypes Fundacep 52, TBIO Mestre and TBIO Itaipu were arranged with the tested nitrogenous fertilizer applications (I = no nitrogen, II = tillering, III = tillering and flowering and IV = tillering, booting and flowering). Greater levels of solvent retention capacity were observed in TBIO Mestre, suggesting that the genotype has good baking quality. The amount of glutenin was not affected by the stage of nitrogenous fertilization application. The water retention capacity of the flour has a strong and positive correlation with the retention capacity of the sodium carbonate and sucrose, along with the associations between the solvents sodium carbonate and sucrose. &nbsp; Key words: Agriculture science, plant management, plant science, quality grains, Triticum aestivum L.

Formulation and Testing of Combined Organic Liquid Supplement from Trichoderma spp. and Fermented Plant and Seed Extracts on the Growth of Organic Pechay

The Ramon Magsaysay Center for Agricultural Resources and Environment Studies (RM-CARES) has isolated Trichoderma longibrachiatum and Trichoderma asperellum from carabao manure. Since Trichoderma is mass produced in solid form and applied basally, the conversion Trichoderma into liquid form allows the supply of nutrients at different growth stages of crops. This study aimed to formulate and test the efficacy of combined organic liquid supplement (OLS) from Trichoderma spp. and fermented extracts from kakawate and malunggay leaves, banana fruits, soybean and mungbean seeds. Based on the results for one trial on pechay, undertaken in a certified organic area at the Ramon Magsaysay Center for Agricultural Resources (RM-CARES), Central Luzon State University Science City of Muñoz (CLSU), Nueva Ecija, yield was significantly increased by the supplementation of Trichoderma spp. in combination with fermented plant and seed extracts. Treatment with 1:0.5 ratio of T. asperellum: fermented plant and seed extracts significantly gave the highest computed yield of 12 t/ha which is 47% higher than the yield obtained in commercial OLS and 106% higher than the control. The treatment with 1:0.5 ratio of T.longibrachiatum: fermented plant and seed extracts, and treatment with commercial OLS produced comparable yield with 9.80 t/ha and 8.17 t/ha, respectively. Since the developed OLS from Trichoderma and fermented plant and seeds extracts is at par or even surpassed the yield of commercial OLS, it has the potential as bio-liquid fertilizer for organic pechay production which could be possibly substituted to commercial OLS.