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India is accounting for almost 20 percent of total milk production in the world and 70 percent of this share is coming from small, marginal farmers and landless people of the country residing in rural areas and this shows that dairy industry has an important role in social and economic development in India. Dairy is growing with a positive rate as per capita availability has reached to 375 (gms/day) in 2017-18 from 178 (gms/day) in 1990-91. In this study, time series data (2001-02 to 2015-16) on milk production and different milching species population of Chhattisgarh have been used to find out the suitable forecasting models for milk production and population of these mulching animals of Chhattisgarh. To meet the objective of study different Autoregressive Integrated Moving Average (ARIMA) models have been tried and among all ARIMA (0,2,0) model has been found more suitable for production of milk in India and Chhattisgarh both. Availability of milk is forecasted suitably by ARIMA (0,2,1) and ARIMA(0,1,1) for India and Chhattisgarh respectively. Similarly different ARIMA models have been fitted for population of different species animals. By this study milk production is expected to reach 219.73 MMT and 1.599 MMT by 2022-23 in India and Chhattisgarh respectively.

We present the results of the first study characterizing new tomato hybrids, possessing dark green (dg), old gold crimson (og(c)), and ripening inhibitor (rin) genes, that determines the bioactive molecules and in vitro antioxidant potential of the peel and pulp of the fruits. The hybrids developed from Berika and BCT-115 (having the dg gene) were superior to those developed from BCT-119 and BCT-111 (carrying og(c) and rin genes, respectively), in relation to their nutritional potential. A wide range (mg/100 g FW) of ascorbic acid (∼21-40), lycopene (∼2-4), β-carotene (∼0.5-1.7), total flavonoids (∼4.6-20.0), and total phenols (∼16-30) was recorded in the pulp. The peel fraction of the tomatoes was identified as an important reservoir of antioxidant bioactive compounds viz. lycopene (∼8-25), β-carotene (∼1.6-3.1), total flavonoids (∼42-82), and total phenols (∼59-83). The radical scavenging activity ranged from ∼45-78 and 21-50% in the peel and pulp, respectively, whereas the metal chelating activity was found to range from ∼23-42 and ∼15-26% in peel and pulp, respectively, among all the hybrids. This finding offers a new direction towards the development of new tomato hybrids that possess not only a good shelf life, but also a nutritional status as well. Moreover, utilizing tomato peel as a source of phytochemicals could offer diverse opportunities for nutraceutical and functional food applications.

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Thailand is one of the countries where foot and mouth disease outbreaks have resulted in considerable economic losses. Forecasting is an important warning technique that can allow authorities to establish an FMD surveillance and control program. This study aimed to model and forecast the monthly number of FMD outbreak episodes (n-FMD episodes) in Thailand using the time-series methods, including seasonal autoregressive integrated moving average (SARIMA), error trend seasonality (ETS), neural network autoregression (NNAR), and Trigonometric Exponential smoothing state–space model with Box–Cox transformation, ARMA errors, Trend and Seasonal components (TBATS), and hybrid methods. These methods were applied to monthly n-FMD episodes (n = 1209) from January 2010 to December 2020. Results showed that the n-FMD episodes had a stable trend from 2010 to 2020, but they appeared to increase from 2014 to 2020. The outbreak episodes followed a seasonal pattern, with a predominant peak occurring from September to November annually. The single-technique methods yielded the best-fitting time-series models, including SARIMA(1,0,1)(0,1,1)12, NNAR(3,1,2)12,ETS(A,N,A), and TBATS(1,{0,0},0.8,{<12,5>}. Moreover, SARIMA-NNAR and NNAR-TBATS were the hybrid models that performed the best on the validation datasets. The models that incorporate seasonality and a non-linear trend performed better than others. The forecasts highlighted the rising trend of n-FMD episodes in Thailand, which shares borders with several FMD endemic countries in which cross-border trading of cattle is found common. Thus, control strategies and effective measures to prevent FMD outbreaks should be strengthened not only in Thailand but also in neighboring countries.