The effect of pick density, constituent filament fineness and heat‐setting on the fabric thickness and compressional properties have been studied before and after laundering. With the increase in pick density fabric thickness, compression and compressibility increases up to a certain extent. Coarser filament textured yarn fabric have higher thickness, compression and compressibility than that of finer filament textured yarn fabrics. Heat‐set fabrics possess higher thickness, compression and compressibility than the grey textured yarn fabrics. However, fabric compressional recovery and resiliency are mainly influenced by the fabric pick density rather than the effect of heat‐setting and filament fineness of constituent textured yarns. On laundering, fabric thickness, compression and compressibility improve particularly for the fabric of lower pick density. The effect of laundering is marginal on fabric compressional recovery and resiliency.

Sugarcane plays an essential role in the economy of the India. During 2018, 79.9% of total sugarcane production of India was used in the manufacture of white sugar, 11.29% was used for jaggery production, and 8.80% was used as seed and feed materials. 840.16 Mt sugarcane was exported in the year 2019. Prediction of production level is basic to effective decision-making for policymakers. The objective of this study is thus to find the suitable models of forecasting for sugarcane production. India and major sugarcane producing states, namely Andhra Pradesh, Karnataka, Maharashtra, Tamil Nadu and Uttar Pradesh were selected. Sugarcane production data from 1950 to 2015 were used for training and 2016 to 2018 was used to test the model. ARIMA method was used to model the production process. Order selection was done using AIC. RMSE, MAPE and Theils' U statistic were used to test the accuracy of the models fitted to the data. ARCH process was found for Karnataka, Tamil Nadu and Uttar Pradesh. Autocorrelation was not present in all the data series analyzed. Forecast accuracy on MAPE criteria ranged from 0.046 to 0.197 percent.

Seed germination and seedling establishment are most vital stages in plant growth cycle, playing major role in determining the final density of plants. In drought prone areas, poor seed germination and seedling emergence are the major problems. Seed priming is known to improve germination and seedling emergence under different environmental stresses. Salicylic acid (SA) also plays a major role in regulation of many physiological processes e.g. growth, development, ion absorption and germination of plants. An experiment was carried out in completely randomized design with three replications in the Plant Physiology laboratory of OUAT, Odisha in order to evaluate the effectiveness of seed priming with SA of 100 ppm in improving seed germination, seedling vigor index and growth characteristics of rice grown under deficit water stress. Experimental treatments included 4 rice cultivars (Subhadra, Mandakini, Kalinga III and Khandagiri), 2 levels of seed priming (without SA and with SA of 100 ppm) and 5 levels of water stress, which were imposed by applying 0.0, -0.2, -0.4, -0.6 and -0.8 MPa osmotic solutions of Polyethylene Glycol (PEG)-6000. The results showed severe reduction in germination and seedling growth with increasing stress levels. Seed-priming with SA of 100 ppm not only increased seedling dry weight but also reduced mean germination time compared to the untreated seeds. Seedling growth of SA-primed seeds had significantly higher root and shoot length than non-primed seeds. Such results indicated reduction in severity of the effect of water stress on germination and seedling growth parameters of rice by priming with SA of 100 ppm which ultimately could tolerate deficit moisture conditions to some extent. Among the 4 test rice genotypes, the best alleviation of stress was achieved in the sensitive cv. Kalinga III.

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