An experiment was conducted in fifty seven pigeonpea genotypes to study the variability, correlation and path coefficient in pigeonpea at Department of Pulses, Centre for Plant Breeding and Genetics, Tamil Nadu Agricultural University, Coimbatore during kharif, 2015. The highest GCV was recorded for number of secondary branches/plant (111.73) followed by number of pods/plant (40.73). Heritability in broad sense ranged from 94.66 (pod size) to 99.93 (number of pods per plant). High genetic advance were observed for number of secondary branches/plant (230.00), number of pods per plant (83.88), single plant yield (80.89) and number of racemes (60.41) indicating the prevalence of additive gene action for inheritance of these traits. Character association studies indicated that number of racemes, number of secondary branches, number of primary branches per plant, clusters per plant, pods per plant, pod length, seeds per pod, and 100 seed weight were strongly associated with seed yield. Path coefficient analysis revealed that days to 50 per cent flowering and number of pods per plant had high positive direct effect on seed yield. Pod size had moderate direct effect on seed yield. Hence due emphasis should be given on number of pods per plant for improvement of seed yield in pigeonpea.

No abstract

A study was taken up among the organic farmers in the Coimbatore and Erode districts of Tamilnadu to assess the innovativeness, self-confidence and trainings undergone by them.

No abstract

Tea is a very indispensable beverage for Indian population as we rank the world’s largest consumer of black tea. Indian tea industry had been facing many downfalls for the past few years in terms of low price, excess supply, losing flavour and all this as a whole had affected the performance of the tea industry in India. With India being the second largest producer of tea globally, the production of tea in India can be subdivided into North India and South India. The current study focuses on the comparative analysis between North India, South India and India in terms of their trends in area, production, yield, export quantity, export price, auction price and auction quantity of tea. Compounded Annual growth rate (CAGR) was the tool used to find the trends of various variables. This study also focuses on the forecasting the production and auction prices of tea in India till 2023using Autoregressive Integrated Moving Average (ARIMA) model. The results of the present study areindicating that all the variables like area, production, yield, export quantity, export price, auction price and auction quantity of tea had shown a positive trend annually, except for that of North India’s export quantity. Production and auction prices were forecasted till 2023 using different ARIMA models amongst which ARIMA (1,1,0) proved to be the best fit model for study period.