Effects of GA3 and NAA on Growth and Yield of Brinjal (Solanum melongena L.) cv. Kashi Sandesh

A field experiment was conducted to find out the Effect of two concentrations of GA3 and NAA and their combinations on growth and yield of brinjal (Solanum melongena L.) cv. Kashi Sandesh. The experiment was laid out in Randomized Block Design with three replications and nine treatments. Higher growth attributing characters viz. maximum plant height (71.14 cm), number of leaves per plant (71.65), number of branches (12.77), Days to 50% flowering (43.12) and yield & yield attributing characters, viz,. number of fruit per plant (16.17), fruit length (11.66 cm), fruit weight (180.48 g), fruit diameter (9.48 cm), fruit yield (2.91 kg/plant), fruit yield (29.22 kg/plot), fruit yield (383.95 q/ha) were recorded under T8- NAA + GA3 (40 ppm + 50 ppm). Similarly, maximum net return (421750.86 Rs/ha) and B:C ratio (2.73) were recorded under T8- NAA + GA3 (40 ppm + 50 ppm) followed by treatment T7- and T6. T9- Control was produced poor performance among all the treatments

Efficient Use of Nano-fertilizer for Increasing Productivity and Profitability along with Maintain Sustainability in Rice Crop: A Review

The need for food and the expanding global population have put enormous pressure on agriculture to increase crop yield while preserving sustainability. Since rice is a staple diet for millions of people, novel methods are needed to increase yields without harming the environment. The possible advantages of using nano fertilizers in rice farming are examined in this abstract in order to raise yields, increase farmer profitability, and ensure long-term sustainability. Nano-sized carriers created for effective nutrient delivery to crops are called nano fertilizers, an innovative application of nanotechnology in agriculture. Their special qualities, such as their large surface area and regulated release mechanisms, allow for the targeted supply of nutrients to rice plants, improving nutrient uptake and utilization. Nano-fertilizers successfully optimize nutrient availability as a consequence, increasing crop output. According to studies, using nano fertilizers in rice farming increases grain yields because plants are better able to absorb and assimilate nutrients. The crop's resistance to environmental challenges and disease strains is strengthened as a result of this enhanced nutrient utilization, which also boosts yield and contributes to sustainable rice farming practices. Furthermore, nano fertilizers offer cost-effectiveness and increased profitability for farmers. Despite their initial higher cost, the efficient nutrient delivery of nano fertilizers reduces the overall application rate required compared to conventional fertilizers. This reduction in input costs translates to improved profitability for farmers, promoting economic sustainability in rice production

A Review on Precision Agriculture: An Evolution and Prospect for the Future

A farm management system that uses information and technology to identify, analyze, and control the temporal and spatial variability within a field is known as precision farming or precision agriculture. Its goals are to maximize productivity and profitability, preserve the land resource, and minimize production costs. The public's growing environmental consciousness is forcing us to alter agricultural management techniques in order to maintain economic profitability while preserving natural resources like water, air, and soil quality. The application of inputs (such as chemical pesticides and fertilizers) in accordance with the proper amount, timing, and location. "Site-Specific Management" is the term used to describe this kind of management. With over a third of the world's food now requiring irrigation for production, the productivity increase in the global food supply has depended more and more on the expansion of irrigation schemes in recent decades. The overall economic viability of traditional agricultural systems is being challenged by market-based global competition in agricultural products, which calls for the creation of new, flexible production systems

Effect of Irrigation Scheduling and Varieties on Yield, Yield Attribute and Profitability of Indian Mustard [Brassica juncea (L.)]

An agronomic investigation to study the response of various mustard varieties to different irrigation scheduling treatments through critical growth stage approach was conducted during Rabi season of year 2019-20 at IFS research Unit farm in Banda University of Agriculture and Technology, Banda (U.P.-210001). The experiment was laid out in strip plot design with three replications. Four irrigation scheduling treatments [viz. I0: No Irrigation, I1: One Irrigation at Rosette stage, I2: One Irrigation at Pod formation and I3: Two Irrigations (1st at Rosette + 2nd at Pod Formation)] were allocated to horizontal plots; whereas two mustard varieties (viz. NRCHB-101 and PM-28) were sown in vertical plots. Higher yield attributing characters at different crop stages and at harvest viz. pod plant-1, pod length, grain pod-1 and test weight and yield (grain yield, straw yield, biological yield and harvest index) along with crop water use efficiency were recorded under treatment irrigating the crop with two times during rosette and pod formation. Similarly maximum gross return (93759 INR ha-1), net return (65238 INR ha-1) and benefit cast ratio (2.29) were recorded under two irrigations (1st at Rosette + 2nd at Pod Formation).  NRCHB-101 was observed maximum yield attributing characters and yield in compared to PM-28

A Comprehensive Review on Seasonal Incidence of Fall Army Worm, Spodoptera frugiperda (J.E. Smith) and Their Management

The Fall Armyworm (FAW), Spodoptera frugiperda, represents a formidable challenge to global agriculture due to its rapid spread and significant impact on crop yields. This comprehensive review focuses on providing an in-depth exploration of FAW's biology, its seasonal dynamics, and the multifaceted strategies employed for its management. Leveraging datasets from multiple geographical regions, we examined the patterns of FAW infestations and their correlation with various climatic and environmental factors. The research emphasized the criticality of predictive modeling tools in forecasting pest incidence and highlighted the potential of machine learning and big data analytics in enhancing the accuracy of these predictive tools. Innovative management solutions, spanning from genetic interventions to the application of nanotechnology, were also discussed, underlining their potential in mitigating FAW damage. Central to our findings was the recurrent theme of international collaboration; the need for globally coordinated efforts in research, monitoring, and the sharing of resources emerged as a pivotal component in the fight against this pest. By incorporating diverse perspectives, including field insights from farmers and advancements in modern technology, this review aims to provide a holistic overview of the present scenario and proffers strategies for future action against the FAW threat