Objective To critically integrate current evidence on the therapeutic potential of marine brown algae against aquaculture shrimp pathogens, with particular emphasis on the contribution of DNA barcoding to improve species identification and strengthening antimicrobial investigations. Significance of review The rising prevalence of antibiotic-resistant pathogens in shrimp aquaculture has intensified the need for environmentally sustainable alternatives to conventional antimicrobial agents. Marine brown algae are recognized as a rich source of structurally diverse bioactive metabolites, many of which have demonstrated antimicrobial activity. The integration of DNA barcoding with bioactivity screening improves taxonomic accuracy and enhances the reliability and reproducibility of bioprospecting efforts aimed at aquaculture disease management. Key findings Significant progress has been made in the molecular identification of brown algae, with the combined use of rbcL and ITS markers achieving a reported species resolution of > 90%. Antimicrobial screening studies identified brown algal species exhibiting inhibitory effects against major shrimp pathogens. Among these, species belonging to the genera Sargassum and Turbinaria were most frequently reported to demonstrate comparatively stronger pathogen suppression. Collectively, the findings highlight the important role of accurate taxonomic validation in enhancing the consistency and interpretability of antimicrobial screening results, emphasizing the complementary relationship between molecular barcoding and pharmacological evaluation. Conclusions The integration of DNA barcoding and antimicrobial screening offers an integrated framework for advancing the discovery of marine-derived therapeutic candidates for shrimp aquaculture. Future research should focus on mechanistic studies, methodological standardization and validation through controlled in vivo aquaculture trials to enable practical deployment in aquaculture systems.

The spread and mobilization of toxic heavy metals in the environment have increased to a harmful level in recent years as a result of the fast industrialization occurring all over the world to meet the demands of a rising population. This research aims to analyze and evaluate the mycoremediation abilities of fungal strains that exhibit tolerance to heavy metals, gathered from water samples at Buckingham Canal, Neelankarai, Chennai. Water samples were examined for heavy metal analysis, and the highest toxic heavy metals, Zn, Pb, Mn, Cu, and Cr, were recorded. Three fungal strains were isolated and named EBPL1000, EBPL1001, and EBPL1002 were selected by primary screening (100 ppm) for further studies. Out of three fungal isolates, EBPL1000 grew in all five heavy metal concentrations and showed 2100 ppm as the highest Maximum Tolerance Concentration toward Lead, 2000 ppm tolerance in Zinc and Manganese, 1700 ppm in Chromium, and 1500 ppm in copper, respectively. The fungal isolate EBPL1000 was identified as Curvularia lunata with 100

The physical form of fertilizer production is of extremely importance, both agronomically and in regard to satisfactory handling, transport, storage, and finally application to the field. The improvement of equipment for handling, storage, and application of granular fertilizer require a proper understanding of material properties and flow behavior. The most common problems encountered in fertilizers were caking, poor flow ability, segregation, dustiness and excessive hygroscopicity due to differences of physical properties. The physical properties such as moisture content, angle of repose and bulk density as important in designing the hopper and metering roller of fertilizer plays an important role in the storage, transport and application of fertilizer. The urea, Ammonium phosphate Sulphate, complex fertilizers and fertilizer ratio (10 26 26) per one orchard tree should be applied yearly trice based on crop requirement. The angle of repose value ranges 28° -37° the hopper angle was decided. For that, to flow the fertilizer freely from the hopper, the inclined angle of the hopper should be greater than 40° respectively. The lowest bulk density and tapped density observed 0.648 kg cm-3 and 0.708 kg cm-3 respectively. Coefficient friction for galvanized Iron (GI) material is very high So, based on the obtained results, a fertilizer applicator for orchard crops has been designed. The basin diameter of orchard palm varies from 1500 mm to 1750 mm the mean of 1650 mm. The root zone depth of orchard crop varies from 150 to 180 mm at radius of 1800 mm from the base of palm. The mean 171.66 mm hence depth of operation of machine was selected as 150 mm such that the machine does not interfere with root zone of orchard trees.

The spillage of petroleum hydrocarbons, one of the most versatile energy resources, leads to disastrous environmental pollution. The present study aims to degrade oil using enzymes from bacterial strains. A total of 39 bacteria were isolated from six different soil samples collected from Ullal Beach, Mangalore, Karnataka, located at 12°52′N latitude and 74°49′E longitude, India. All 39 bacterial isolates were screened for the production of four industrially important extracellular enzymes. Among these isolates, ten showed the highest lipase production. These cultures were further screened for bio-surfactant assays, including oil displacement and drop collapse assay and Emulsification Index. EBPL0613-F2 exhibited the best reaction in crude oil degradation. A polyphasic taxonomical approach identified the crude oil-degrading bacterium EBPL0613-F2 as Bacillus licheniformis and submitted in NCBI and the Accession Number is PP059616. It was then cultivated in ocean water media with tween 20 and 1

A study was conducted with the objective of assessing the effect of crop seasonal rainfall and length of growing period on the sustainability of pod yields of groundnut attained in 31 mandals under arid Alfisols of Anantapur in Andhra Pradesh. We have considered the variability of mandals with regard to (i) crop seasonal rainfall (mm) and (ii) pod yield of groundnut (kg/ha) during 2001 to 2020; (iii) extent of crop area (ha) during 2009 to 2020; and (iv) length of growing period (days). Based on the mean and standard deviation (SD) of each parameter, the mandals were classified into 5 groups viz., (i) G1: Less than (Mean–2SD); (ii) G2: (Mean–2SD) to (Mean–SD); (iii) G3: (Mean–SD) to (Mean+SD); (iv) G4: (Mean+SD) to (Mean+2SD); and (v) G5: More than (Mean+2SD). Out of 31 mandals, 22 mandals for area and crop seasonal rainfall, 20 mandals for LGP and 18 mandals for yield have fallen in G3. Estimates of correlation were derived between groundnut area, crop seasonal rainfall and yield for each mandal over years and tested for significance to assess the superiority of mandals. Significant correlation of yield and crop seasonal rainfall was observed which ranged from 0.433 at Kalyandurg to 0.765 at Putlur. Similarly, significant correlation between yield and area of groundnut was observed in Kalyandurg (-0.764), Brahmasamudram (-0.674) and Rapthadu (-0.584) mandals. The predictability of yield and prediction error were derived based on a regression model of yield calibrated through the crop seasonal rainfall, LGP and crop area in different mandals. The model gave significant predictability (R2 ) value of 0.46 with prediction error of 90.9 kg/ha and indicated negative effect of area, positive effect of crop seasonal rainfall and LGP on yield. The sustainability yield index ranged from 26.6% (Kambadur) to 87.5% (Peddavadagur) with mean of 53.9% (CV of 30.1%) over years. Ranks were assigned to the mean and variation of area, crop seasonal rainfall, yield, LGP and SYI of each mandal and rank sums were derived. Guntakal, Gooty and Vidapanakal were superior with rank sums of 30, 38 and 70 respectively. Guntakal was superior with an area of 16570 ha (CV of 17.3%), crop seasonal rainfall of 436.1 mm (CV of 33.4%), LGP of 140 days, yield of 644 kg/ha (CV of 70.9%) and SYI of 76.5%, while Gooty was superior with area of 14146 ha (CV of 14.6%), crop seasonal rainfall of 429.6 mm (CV of 42.4%), LGP of 140 days, yield of 663 kg/ha (CV of 69.1%) and SYI of 79.1%. Similarly, Vidapanakal was superior with area of 5077 ha (CV of 31.1%), crop seasonal rainfall of 403.2 mm (CV of 47.4%), LGP of 140 days, yield of 654 kg/ha (CV of 49.5%) and SYI of 77.9%. Due to maximum LGP and crop seasonal rainfall, we recommend that the farmers of these mandals could enhance the area of groundnut and attain maximum sustainable yields under arid Alfisols.

Aims: The objective of this work was to develop and evaluate the performance of an automatic fish feeder- to enhance aquacultural practices and farmponds Place and Duration of Study: The research study was conducted at Madakasira, (Latitude: 13°56ʹ55.96″ N and Longitude: 77°18ʹ45.38″ E) which is located in Anantapur district of Andhra Pradesh, India. The mean annual temperature and annual rainfall of the study area are 27.6°C and 532 mm, respectively. Most of the rainfall (~80%) is received during South-West monsoon. The experiment study was conducted from March‒June, 2018. Methodology: Automatic fish feeder includes both electrical and mechanical mechanism. The materials includes for the development of the feeder was cone shape hopper, top covering lid, base, 12V DC motor, 12V 7Ah Rechargeable Lead Acid Battery, Arduino Uno, Bluetooth HC-05 module, 5v Relay, DC-DC step-down converter. The developed feeder was operated with the help of mobile app by using Bluetooth HC-05 module. The spreading distance and amount of feed spread, opening angles of the feeder were evaluated during the research period. Results: Our results showed that the amount of feed spread was maximum (140 g m-1) with 1.0 m height and was minimum (101 g m-1) at 0.2 m height. This results clearly shows that the fish feeder has to be kept at maximum height so that it covers maximum spreading distance with minimum loss of fish feed by drift. With increase in height of the machine from ground surface, the spreading distance of the fish feed from the feeding machine was also increased. Conclusion: Farmers were satisfied with this new technology which helps to avoid manual feeding and provides the clean environment.

Oyster mushroom (Pleurotus florida) is a simple, fast, and cost-effective variety for cultivation, requiring minimal substrate preparation time and production technology when compared to other edible mushrooms. Its popularity has soared due to its exceptional culinary taste and flavor, surpassing even the well-known button mushroom (Agaricus bisporus). As result, it has become highly recognized and preferred over button mushrooms in India. However, the current manual bag filling process of wet chopped rice straw substrate for Pleurotus florida cultivation is laborious and time-consuming, with limited bagging capacity. To address this challenge, a rice straw bag filling machine was designed and developed specifically for oyster mushroom cultivation. This machine comprises a main frame, truncated conical hopper, agitator, single flight tapered end screw conveyor, tubular trough, cylindrical drum, chain and sprocket drive mechanism, and an electric motor. The successful evaluation of this machine revealed that, the maximum bagging capacity of 293 bags/h was found at screw speed of 150 rpm and 200 mm pitch length for rice straw substrate.

In semiarid regions, water being the main constraint, the rainfall intensity–duration–frequency (IDF) curves play a significant role in water resources engineering and management. The IDF curves are used to assess the heavy rainfall events, climatic regimes classification, to derive design storms, etc. The objective of the present study is to develop IDF curves for the Ananthapuramu district in semiarid region of southern India. Annual peak rainfall data of 56 years (1966–2021) at Agricultural Research Station, Ananthapuramu, were analyzed for extraction of peak rain-storm intensity value, their corresponding durations and the frequency using Gumbel distribution method. The short-duration rainfall intensity was estimated using empirical reduction method described by the India Meteorological Department. The parameters of the IDF equation and correlation coefficient for different periods were calculated (2, 5, 10, 25, 50 and 100 years). The results of the data analysis indicated that rainfall intensity decreased with increase in rainfall duration. Further, a rainfall of any given duration will have larger intensity if its return period is large. The most frequent rainfall durations in the study area are 15, 30, and 45 min, and they were found to account for 22.4

The medium range weather forecast issued from Agrometeorological centre (AMC) Amaravathi on rainfall, maximum temperature, minimum temperature, Relative humidity, wind direction, wind speed and cloud cover for the years 2020-2021 has been verified with observed rainfall recorded at Chef Panning Office (CPO) Ananthapuramu district to known its accuracy. Among all the parameters we verified the accuracy of rainfall for the blocks and district of Ananthapuramu. The results revealed that the correct rainfall was higher in winter, summer season compared to south west and north east monsoon. However, winter and summer season, the accuracy of rainfall forecast was >90 per cent with RMSE value of <2 that indicated the higher accuracy. The rainfall forecast verified through error structure for district and blocks. The correct rainfall forecast accuracy was higher for blocks compared to district. The unusable forecast was also more in blocks than district.

To investigate the relationship between nodule category and plant growth characteristics in peanut, nodules were classified into three categories: large size nodule (LSN) ( greater than 2 mm), medium size nodule (MSN) (1-2 mm) and small size nodule (SSN) ( less than 1 mm) and their position on roots (primary and lateral roots). The number of LSNs on primary roots was found to be much higher than on lateral roots. The number of MSN developed on primary and lateral roots was comparable, whereas, lateral roots had a higher SSN number. In addition, when comparing the LSN and MSN numbers to SSN number, the plant growth parameters showed a high positive correlation. Multivariate regression analysis yielded similar results. This nodule classification technique aids in the identification of peanut nodules and their role in quantification of plant growth characteristics. Further, this technique can be used in identifying/screening of efficient nodulating peanut genotypes.

Oyster mushroom (Pleurotus florida) is gaining demand owing to its benefits and taste. But, the prevailing manual method of cultivation is compromised with limited spawn spreading capacity and high chance of contamination which could be overcome by use of a spawn spreading machine. Currently no such machine is available which has prompted us to develop the same. The benefaction of the developed machine to the farmers is lightweight, portable, autoclavable, affordable, uncomplicated design, unskilled person can operate and minimize contamination chance that leads to increase in yield of mushroom. It constitutes the main frame, truncated conical hopper and ball valve metering mechanism. The machine evaluated in the lab shown that a highest spawn spreading capacity of 288 bags/h as compared to manual spreading operation of 110 bags/h for rice straw substrate at spawning rate of 50 g. In this context, the result clearly indicate that, the spawn spreading machine is very cost effective, save time and reduce labour requirement as compared to manual operation.

The most destructive enemy of linseed in India are insect pests. Twelve insect pests that caused damage in linseed under Hyderabad (India) conditions were recorded during 2020-2021. Percent incidence and population (per 10 plants) of Liriomyza trifolii varied from43.2±7.20 to 69.7±5.53 and 0 to 2.8±0.20, respectively. Populations (per 10 plants) of Bemisia tabaci, leafhopper, Nezara viridula and Creontiades sp. reached maximum during first week of January 2021 (22.2±3.18), last week ofJanuary 2021 (13.6±0.68), first week ofJanuary 2021 (2.6±2.36) and last week of February 2021 (2.2±0.37), respectively. Dasyneura lini population (per 10 plants) varied between 0 to 2.2±0.49 and reached maximum during second week of February 2021 (2.2±0.49). Spodoptera exigua population reached maximum during third week of January 2021 (2.0±0.89 per 10 plants), whereas population (per 10 plants) of Helicoverpa armigera reached highest during third week ofJanuary 2021 (2.6±0.98). Other insect pests such as Aulacophora sp., Monolepta signata, Hyposidra talaca and tussock caterpillar also caused more damage to linseed. Among abiotic factors, the maximum temperature showed a negative correlation with all insect pests except Creontiades sp. and H. talaca. The abiotic factors jointly had a highly significant impact on population of insect pests. The model to predict insect pests incidence in linseed was developed by linear regression model which would offer forecasting for short term period.

Improvements in energy-use efficiency and carbon footprint reduction are critical for the sustainability of agricultural systems. The present study was aimed at evaluating the suitability of pearl millet-wheat cropping system as an environmentally sustainable land use option in the rainfed semi-arid ecosystem of the Aravalli foothills, India. The socio-economic survey was done in five land management units (LMUs) to collect real-world data using stratified random sampling technique. The results showed high yields of pearl millet and wheat (2.5 t ha(-1) and 4.5 t ha(-1)) with high net return (1424 US $ ha(-1)) under large holdings of LMU5. The mean total energy consumed in the system was 32265 MJ ha(-1), wherein nonrenewable and renewable energy sources contributed 77% and 23%, respectively. Large holdings of LMU5 produced significantly high net energy return (243989 MJ ha(-1)), energy-use efficiency (9.8), carbon efficiency (11.9), and carbon sustainability index (10.9). The carbon footprint was high under marginal and small holdings, which necessitates soil and water conservation measures to achieve high yields. In the pearl millet-wheat system, energy-smart and carbon-efficient approaches of crop cultivation need to be popularized to attain sustainable productivity in the semi-arid ecosystem. (C)& nbsp;2022 Elsevier Ltd. All rights reserved.

Agricultural practices contribute to greenhouse gas (GHG) emissions; therefore, it is essential to modify the production technologies. We analyzed decadal variation in CO2 and CH4 over a major rice cultivating area in subtropical India using GOSAT satellite data, which shows a sturdy increase. Furthermore, we carried out long-term field experiments with different nutrients management in the research farm to validate CERES–Rice (Crop Environment Resource Synthesis) and DNDC (De-nitrification and Decomposition model) models. The variations in Global warming potential per kg rice grain production over 90 years (2005–2095) are also projected. This study used a simulation technique to predict the rice yield using CERES–Rice and GWP using the DNDC model for three varied nutrient management treatments: chemical fertilizer (CF) at full (100%) recommended level (CF100), organic fertilizer using vermicompost at full recommendation (VC100), and integration of organic and chemical fertilizer (VC50 + CF50). The CF100 treatment showed the highest rate of increase in GWP as 0.014 and 0.021 kg CO2eq kg-grain season−1 in RCP 4.5 and 8.5 scenarios, respectively. Integrating organic fertilizers with chemical fertilizers may give a nearly similar yield in later decades of the century in both RCP 4.5 and 8.5 climate scenarios with substantial reductions (77% in RCP 4.5 and 66% in RCP 8.5) in the rate of change in GWP as compared to sole chemical fertilizer application. This study recommends integrated nutrient management using organic fertilizers as a feasible way to limit the GHG emission from rice fields and minimize global warming in future climate scenarios.

Background: The land utilization efficiency of vertisols can be increased by inclusion of a short duration crop preceding Bengal gram in fallow-bengalgram cropping system in scarce rainfall zone of Andhra Pradesh.Methods: A field investigation was conducted at Regional Agricultural Research Station, Nandyal, Kurnool (District), Andhra Pradesh during 2010-11, 2011-12 and 2012-13 to study the influence of including a short duration crop like foxtail millet in traditional fallow-chickpea system. The field was laid out in Split plot design and the treatments are comprised of cropping systems i.e foxtail millet-chickpea and fallow-chickpea as main plots and variable water regimes (with and without irrigation) as subplots. Result: The results revealed that in deep vertisols, kharif fallows can be grown with a short duration crop like foxtail millet by utilising the initial rains of the season thus providing an additional income to chickpea farmer and was also observed that seed yield of chickpea taken up during rabi was not affected due to preceding foxtail millet.

The efficiency of farm pond technology used for supplemental irrigations in dry land area can be improved by growing vegetables and fish in the farm ponds by 'Integrated Cage Floating Aqua-geoponic System' (IFCAS) at college farm, College of Agricultural Engineering, Madakasira during March-June, 2018. The main aim of the research was to determine the size of IFCAS structure for floatation on water, growth and productivity of ridge gourd, bitter gourd and fishes. The study indicated that for proper floating of IFCAS structure in the farm pond, the optimum size of IFCAS structure was 6.75 m2 (2.7 x 2.5 m) with 125 kg weight. The bitter gourd crop resulted in higher fruit yield and economic returns as compared to ridge gourd. Further, growing fish (Oreochromisniloticus) in IFCAS structure resulted an income of Rs.600 per structure in three months period. The economic analysis of IFCAS indicated a B:C ratio of 2.2.

Background: The main challenge confronting both rainfed and irrigated agriculture is to improve water use efficiency (WUE) and sustainable water use for agriculture. A field experiment was conducted during early summer season of 2020 to study the effect of drip irrigation combined with organic mulching on soil moisture, growth, yield of tomato grown on alfisols at the college farm of College of Agricultural Engineering, Madakasira, Ananthapuramu district of Andhra Pradesh. Methods: The experiment was laid out in completely randomized block design (CRBD) with seven treatments comprising of various organic mulches. The treatments were T1 - Sawdust + Irrigation based on daily crop water requirement, T2 - Ragi straw + Irrigation based on daily crop water requirement, T3 - Groundnut shells + Irrigation based on daily crop water requirement, T4 - Groundnut shells + Irrigation once in every two days, T5 - Saw dust + Irrigation once in every two days, T6 - Ragi straw + Irrigation once in every two days and T7 - Control (without mulch) + Irrigation based on daily crop water requirement. All the treatments were replicated thrice. The plot size of each treatment was 4m × 2.5m. Result: The results revealed that throughout the crop growth period, T3 - Groundnut shells + Irrigation based on daily water requirement maintained soil higher moisture content to an extent of 132-146% as compared to control T7 (Control + Daily water requirement). The fruit yield obtained with T3 - Groundnut shells + Irrigation based on daily water requirement was significantly higher (8.8 t/ha) as compared to control T7 (Control + Daily water requirement) (7.6 t/ha). The highest water use efficiency (39.6 kg/ha/mm) was noted with T4 - Groundnut shells + Irrigation once in every two days), whereas T7 (Control + Daily water requirement) registered minimum WUE (16.3 kg/ha/mm). Weed dry matter and weed index was found to be higher (50% to 100%) in T7 (Control + Daily water requirement) throughout the crop growth period as compared to all the treatments applied with organic mulches. Our results indicated that T3 - (Groundnut shells + Irrigation based on daily crop water requirement) resulted in the highest plant height, number of fruits per plant and high water use efficiency as compared to without mulching. Further, under irrigation water constraints, groundnut shells mulch and drip irrigation once in two days was found to be effective in attaining higher WUE.