Birsa Agricultural University is an agricultural university at Kanke, Ranchi in the Indian state of Jharkhand. It was established on 26 June 1981, after its formal inauguration by Prime Minister Indira Gandhi..
The Indo-Gangetic Plains (IGP) remain highly climate vulnerable, where farmers experience limited access to timely, trusted, and contextualized risk information necessary for adaptation. This study examines how exposure to risk communication, along with key socio-psychological determinants, shapes behavioural responses to climate change. Using the Stimulus-Organism-Response (S-O-R) framework, six constructs were conceptualized and validated-Risk Communication, Social Participation, Institutional Awareness, Risk Perception, Negative Emotions, and Behavioural Change. A multistage sampling approach was applied across Bihar and Uttar Pradesh, engaging 240 farmers. PLS-SEM was used to develop indicators, evaluate construct validity, and test structural relationships. Among the significant predictors, Negative Emotions strongly impacted Behavioural Change ((3 = 0.961), while Institutional Awareness significantly influenced both Negative Emotions ((3 = 0.817) and Risk Perception ((3 = 0.711). Beyond model fit, the validated indicators generated through this study can support future assessment of climate risk communication effectiveness and serve as reference metrics for extension and sustainability research. Overall, the study offers a contextually grounded and empirically strengthened risk communication model that can inform more responsive and farmer-centric advisory strategies to enhance climate resilience in the IGP. It provides valuable insights for designing more effective, psychologically informed risk communication strategies to strengthen climate resilience among vulnerable farming communities.
A field experiment was conducted on sandy loam soil during the Rabi season of 2025-26 at the Research land of the Agriculture College Garhwa, Bishumpur, Garhwa, Jharkhand to study the influence of sulphur (S) levels on the growth and development attributes of mustard crop. The experiment consisted of six sulphur levels (control, 10, 20, 30, 40 and 50 kg S ha-1) and was laid out in a randomized block design with three replications. The results revealed that all growth and development attributes of mustard were significantly influenced by different sulphur levels compared to the control. Plant height, number of leaves plant-1, leaf area index (LAI), number of branches plant-1, dry matter accumulation plant-1 and number of siliques/pods plant-1 were significantly higher with the application of 30 kg S ha-1. Significant positive correlations were observed between siliques/pods plant-1 and growth parameters. Therefore, the present investigation indicates that application of 30 kg S ha-1 in mustard cultivation enhances growth and development, leading to higher yield potential of the crop.
This study assessed genetic variability, genotypic and phenotypic correlations, and path coefficients for seed yield and yield attributing traits in linseed genotypes under irrigated conditions. Genotypic correlations exceeded phenotypic ones, highlighting strong genetic control over trait associations, with environmental factors attenuating phenotypic expressions. Days to 50% flowering positively correlated with plant height and 1000-seed weight but negatively with maturity and seeds per capsule. Plant height, technical height, secondary branches, and capsules per plant showed highly significant correlated with grain yield. Path analysis at the genotypic level identified seeds per capsule, secondary branches, and capsules per plant as exerting the highest positive direct effects on grain yield, while days to maturity had a negative direct effect.
This study assessed genetic variability, heritability, correlation, and path analysis for eleven traits in twenty soybean genotypes under rainfed Kharif conditions at Birsa Agricultural University, Ranchi, using a randomized block design. ANOVA confirmed highly significant genotypic variances, especially for plant height, pods per plant, and oil content. High broad-sense heritability and genetic advance marked traits like branches, pods, seeds per pod, and plot yield, indicating strong selection potential. Genotypic correlations showed robust positive associations of plot yield with pods per plant, branches and height, while path analysis revealed direct effects from these, with low residuals. Superior genotypes BAUS-170, BAUS-131, and BS-3 excelled in yield attributes, advocating trait-based breeding to enhance rainfed soybean productivity amid climate challenges. BAUS-180 recorded the highest protein content, clearly exceeding the overall mean and outperforming all check varieties, followed closely by BAUS-173 and BAUS-186, while for oil content RSC 11-35 was superior to the mean and checks, with JS 97-52 and RKS-18 emerging as the next best genotypes.
Extensive livestock production systems support over 70 million rural households across India’s 15 agroclimatic zones, yet face interconnected challenges of feed scarcity (national deficits of approximately 11–32
