A field study was conducted in the Department of Plant Physiology, College of agriculture, Vellayani; in order to assess the physiological and biochemical changes taking place in cluster bean [Cyamopsis tetragonoloba (L.) Taub.] under the influence of light and moisture stress. The variety used for the study was KAU Suruchi. The results revealed that physiological parameters like plant height, shoot weight, crop growth rate, relative growth rate, photosynthetic rate and transpiration rate were significantly affected at all the critical growth stages. The treatment T6 (25% shade + 50% field capacity) recorded the highest plant height, whereas the lowest transpiration rate was recorded by T3 (50% shade + 50% field capacity), whereas the control, T7 (open + 100% field capacity) showed the highest values in all other parameters studied. The no. of primary branches per plant was significantly affected only in the flowering stage; root weight was significantly influenced in the vegetative and flowering stages; whereas the root: shoot ratio was significantly affected only in the vegetative stage. In the case of biochemical parameters, the chlorophyll content was found to be significantly higher in treatment T6, whereas the total soluble protein content was the highest in control, T7.

During the course of present investigation, three entomopathogenic fungi were tested for their efficacy at different concentrations and compared with two neem-based insecticides, with a view to find out most effective treatment (s) against green gram aphid, jassids and thrips. Among different bio-pesticides, neem-based pesticides (NSE 5% and azadirachtin) proved their effectiveness against aphids, jassids and thrips up to 3 days after spraying, as survival aphid, jassids and thrips population was much lower than rest of the treatments. In order of effectiveness of treatment, L. lecanii 1.15% WP @ 7.5 gm/lit, M. anisopliae 1.15% WP @ 7.5 gm/lit, B. bassiana 1.15% WP @ 7.5 gm/lit showed effective control of aphids, Whereas, treatments of M. anisopliae 1.15% WP @ 7.5 gm/lit , L. lecanii 1.15% WP@ 7.5 gm/lit @ 7.5 gm/lit and B. bassiana 1.15% WP @ 7.5 gm/lit and B. bassiana 1.15% WP @ 7.5 gm/lit, M. anisopliae 1.15% WP @ 7.5 gm/lit and L. lecanii1.15% WP @ 7.5 gm/lit showed effective control of jassids and thrips respectively. Also, during the investigation, influence of different bio-pesticides on coccinellid predators was studied. Thus, the results indicated that B. bassiana alone was unsafe for the coccinellid predators as it recorded lower number of survival lady bird beetle population. As regards yield, amongst the bio-pesticides tested for green gram aphid, jassids and thrips the treatment of L. lecanii 1.15% WP@ 7.5 gm/lit gave highest yield of green gram. All other bio-pesticide treatments were significant in respect of yield of green gram over untreated control.

Assam Agricultural University and Regional Agricultural Research station, Titabar have introduced the high yielding aromatic rice varieties to the farming community with modern package and practices for increasing productivity as well as income level of farmers. The objective of the study was to ascertain relationship between the extent of adoption of high yielding aromatic rice varieties and their associated practices with selected social, personal, economic, communication and psychological characteristics of the farmers. Two sub-division under Jorhat district were selected for the study. The study was conducted with dependent variable extent of adoption and 10 independent variables categorized in different factors viz socio-economic, communication and socio-psychological factors. For the study 120 respondents were selected. Data were collected through well-structured interview schedule analyzed by chi-square test, co-efficient of correlation and multiple regression analysis. Education, land holding, annual income, mass media exposure, extension contact and economic motivation were positively significant with the extent of adoption of high yielding aromatic rice varieties of farmers. From regression analysis, the R2 value indicates that all the variables put together could explain 57.2 percent to the total variation on the extent of adoption of high yielding aromatic rice varieties.

This paper analyzes the factors influencing crop diversification in Tirunelveli district of Tamil Nadu. Crop diversification is nothing but a shift in cropping pattern, shift from traditionally grown less benefit crops to more benefit crops to increase the income as well as agricultural sustainability. To cope up with the risk arise due to mono cropping, crop diversification can be used as a better strategy. It reduces the risk to farmer from total crop failure by providing alternative means of income through other crops grown. It also helps in conservation of natural resources, increases food and nutritional security and helps in poverty alleviation by providing employment opportunities to the farmers. We studied about the factors influencing crop diversification in Tirunelveli district of Tamil Nadu using the primary data. Non-Experimental Research design was used for this study purpose. A sample size of 120 respondents was fixed for the study using proportionate random sampling technique. Out of twenty-two variables selected for the study, variables viz., Family size, Distance to the market, Economic motivation, Risk orientation, Innovativeness and Scientific orientation had positive and significant association with crop diversification at one per cent level of significance.

The complete avoidance of all farm losses due to weather factor is not possible but it can be minimized to some extent by making adjustments through timely and accurate information of weather forecast. Weather forecast and weather based agro advisories help in increasing the economic benefit to the farmers by suggesting them suitable management practices as per weather conditions. Present review study was conducted during the year of 2019-20. The main aim of this study is to know the effectiveness and usefulness of Agro Advisory Services (AAS) with respect to weather change and span of covid-19 pandemic in selected Villages (Baghpur & Ludhura) of AICRPAM-NICRA Project under Kanpur district. Study concluded that, Agro Advisory Services (AAS) proved effective to transfer of Agro-technology regarding weather change during lockdown period. Agro Advisory Services (AAS) provided basic, timely and accurate pre-information regarding weather based agricultural operations and safety measures to enhance agriculture production and protection from corona virus. Agro Advisory Services (AAS) comprised of safety measures against corona virus helpful to increase production and productivity against weather change along with escaping of selected farmers from corona pandemic.

The purpose of this study is to classify the states of India on the basis of three principle crops viz. rice, wheat, and groundnut using statistical graphics. In order to do that the three different indices of area, production, and productivity are devised at first. Thereafter a scatter plot is depicted considering ‘area index’ as independent variable and ‘productivity index’ as dependent variable and then a linear regression line is being fitted along with confidence band for classification of the states. The classification of Indian states in such a way acts as a rudimentary input to the planners and policymakers responsible for designing efficient agricultural policies, and for making significant decisions concerning procurement, storage, public distribution, import, export, and other important related issues.

The weather forecast and real time weather for Reasi district of J&K was compared to assess the validity and accuracy of weather forecast during 2018-19. The results indicated that highest value of correct forecast for rainfall (70.76 %), maximum temperature (52.33 %) & minimum temperature (52.33 %) was found in post monsoon season. The highest correct value of evening relative humidity (Min. RH) was also found in the post monsoon season (76.41%). The highest correct values of morning relative humidity (Max. RH) was found in the monsoon (79.84 %) season. The accuracy of weather forecast in advance is found to be useful for farmers for doing appropriate field operations and crop management practices.

The present experiment was carried on at the Field Experimentation Centre, Department of Genetics and Plant Breeding, Sam Higginbottom University of Agriculture, Technology and Sciences, Allahabad during Kharif 2016 in Randomized Block Design with three replications. The study was undertaken on the 30 cowpea genotypes along with one check (Pant lobia-5) to study the genetic variability, correlation and genetic divergence. Analysis of variance showed highly significant differences among (29+1check) cowpea genotypes for 13 quantitative characters studied. Genetic diversity estimated in 30 cowpea genotypes using Mahalanobis’s D2 statistic showed that thirty genotypes were grouped into six clusters by Non- Hierarchical Euclidean cluster analysis. Cluster III was largest comprising of eleven genotypes followed by Cluster I with seven genotypes. The maximum inter-cluster distance was observed between cluster II and cluster IV. The maximum intra-cluster distance was observed in cluster V. Cluster VI showed maximum cluster mean value for seed yield per plant followed by biological yield/plant, days to 50% pod setting and days to maturity. The highest contribution in the manifestation of genetic divergence was exhibited by biological yield followed by days to maturity, seed yield per plant.