Innovare Journal of Agricultural Sciences

RESPONSE OF EXOTIC VEGETABLES TO PLANT SPACING, FERTILIZATION, AND INSECT PEST MANAGEMENT UNDER SUBTROPICAL REGION OF WESTERN HIMALAYAS OF HIMACHAL PRADESH

Mon, 01 Jul 2024 00:00:00 +0530

Objective: The study was conducted with the objective to study the effect of different plant spacing and fertilizer treatments on the yield and growth parameters of exotic vegetables.

Methods: The study was carried out at the experimental farm of Regional Horticultural Research and Training Station Jachh (32° 16’ N latitude and 75°51’ E longitude, 440 m above mean sea level) during the year 2021–22. The experiment was laid out in a factorial randomized complete block design with three replications. The treatments were comprised of three levels of fertilizers (120, 100, 75% RDF) and two levels of spacing.

Results: The observations revealed significant variations in the fresh yield of Kale, Parsley, and Celery in response to different fertilizer doses and plant spacing. Specifically, the fresh yield of Kale, Parsley, and Celery showed significant improvements with higher levels of fertilization (F1) and narrow plant spacing (S2). In addition, the number of leaves per plant increased with higher fertilizer doses but did not vary significantly across different spacing levels in all three crops. While the leaf length and width of Kale were not significant, the leaf length of Parsley and Celery varied significantly with increasing fertilizer doses. Furthermore, among the three crops studied, Kale was observed to be infested by aphids, particularly Brevicoryne brassicae, during the crop period. The application of imidacloprid (0.5 ml/L) and chlorantraniliprole (0.4 ml/L) demonstrated effective management of this pest, providing better results for pest control.

Conclusion: Fresh yield of kale, parsley, and celery increased under high level of fertilization and narrow spacing as well. Moreover, imidacloprid and chlorantraniliprole can be utilized for the management of cabbage aphids in Kale crop.

DETERMINATION OF RESIDUE OF HERBICIDES APPLIED IN COTTON THROUGH SORGHUM AND CUCUMBER BIOASSAY

CHHODAVADIA SK, VASAVA MS, MATHUKIA RK — Mon, 01 Jul 2024 00:00:00 +0530

Objectives: The study aimed persistence of herbicides through bioassay technique and to determine residual phytoxicity of different herbicides on succeeding summer crops.

Methods: In this study, pot studies and evaluating herbicides residue in soil condition. The post-harvest soil samples from the selected treatments were collected and used for bioassay studies. The collected soil samples of 1-kg soil were filled in clean plastic pots according to the treatments. Another pot culture experiment was conducted with the same soil from the surrounding area of the farm which was never treated with any herbicides.

Results: Residues of herbicides in the post-harvest soil were worked out from the bioassay of sorghum and cucumber. In propaquizafop 0.050 kg/ha POE at 45 DAS application showed an average of more herbicide residues and pendimethalin 0.900 kg/ha PE and oxyfluorfen 0.180 kg/ha PE found an average less herbicide residues in the post-harvest soil.

Conclusion: All the herbicides were found non-detectable level herbicides residue in the post-harvest soil at germination percentage, plant height, and dry matter production of sorghum and cucumber during both years. Residues by this method for pendimethalin, oxyfluorfen, oxadiargyl, quizalofop-ethyl, imazethapyr, and propaquizafop were non-detectable level (NDL) for all the herbicides.

CRITICAL ANALYSIS OF INDIAN MONSOON RAINFALL FORECASTING

ANIL KUMAR S — Mon, 01 Jul 2024 00:00:00 +0530

Extensive study has been undertaken in recent years to comprehend climate changes and their potential impacts, aiming to mitigate natural disasters such as droughts, snowfall, floods, and more. This paper provides a comprehensive literature review focusing on the variability in rains during the Indian monsoon, employing statistical analysis, modeling, and forecasting techniques applied by various researchers over the years. The findings of this study reveal that the variability in Indian rainfall time series can be attributed to a range of tools and methodologies. This variability plays a key part in the development and prediction of future rainfall forecasting models. Notably, Data on historical rainfall time series have predominantly centered on broad regional scales in India and its subdivisions. To better serve the needs of farmers and bolster the Indian economy, there is an urgent need to develop new statistical models at smaller spatial and temporal scales. Throughout this review, it becomes clear that there exists an average monsoon rainfall level in India, which functions as a benchmark. Rainfall below this threshold is considered a poor monsoon, while rainfall exceeding it is regarded as a good monsoon. It is worth noting that a substantial 70% of the annual rainfall occurs in India during the monsoon season, encompassing the period from June to September. The average monsoon rainfall in India, calculated based on data spanning a century from 1901 to 2000, stands at 85 cm. Notably, specific years such as 2002, 2004, 2009, 2014, 2015, and 2016 have witnessed below-average rainfall. This comprehensive review serves as a wonderful resource for readers interested in learning more about the intricacies of monsoon rainfall variability in India and its potential modeling through appropriate methodologies.