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Pasting is one of the most important properties of wheat starch determining the flour quality and functionality. Twenty three New Plant Type (NPT) wheat derivatives along with three checks (PBW 343, HD 2329, and Raj 3765) have been studied in multi-location trials to assess the variation and environment induced fluctuations for their starch pasting properties. Although all flour pasting characteristics varied, Breakdown Viscosity (BV) and Setback Viscosity (SV) exhibited greater variability across environments. Additive Main effects and Multiplicative Interaction (AMMI) analysis indicated significant interactions between Genotypes and Environments Interaction (GEI) in starch pasting properties. Genotypes accounted largest proportion (39.78%) of the Sum of squares (SQ) for peak viscosity (PV) followed by environments (33.30%) and GEI (33.30%). Trough Viscosity (TV), GEI accounted for the largest proportion (40.44%) of the SQ followed by environments (31.76%) and genotypes (27.80%). Genotypes accounted for the largest proportion (44.0%) of the SQ for (BV) followed by environments (33.30%) and GEI (21.59%). With respect to FV, environments accounted for the largest proportion (43.07%) of the SQ followed by GEI (30.84%) and genotypes (26.09%). Environments accounted for the largest proportion (52.48%) of the SQ followed by genotypes (23.89%) and GEI (23.65%) for SV. The interactions between genotype and locations differed greatly; however, some genotypes apparently found to be specifically adaptable to growth location. Correlation among starch pasting characteristics revealed that significant positive correlations were found between PV and BV, FV and TV, as well as SV and FV in all the individual environments tested that can be utilized in selection and simultaneous improvement in for starch quality improvement.

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The present research attempts to prioritise the agripreneurial skills essential for farm youth to successfully run agripreneurship. The various agripreneurial skill dimensions and specific agripreneurial skills of farm youth were identified and compared through paired comparison method by the key experts. The weights for agripreneurial skills were then estimated and analysed by using a multi-criteria decision-making technique called fuzzy analytic hierarchy process. The agriprenurial skill dimensions and individual skills were also prioritised based on estimated weights. The research sample in the survey location consisted of rural youth of the state of Odisha, India. The sample size was estimated to be 250 individuals based on the selection criteria by purposive sampling technique from the five different agro-climatic zones. Strategic thinking skill dimensions were ascertained as the most important in priority order while opportunity recognition skills, resilience, agripreneurial motivation, agribusiness planning, and strong decision-making skills were prioritised as the top five essential skillsets crucial for the success of agri-enterprise. Perseverance, agri-logistic management, and effective communication were found to be more deficient among youth. These required prioritised agripreneurial skills can act as an instrument to screen the farm youth for agripreneurship orientation programs.