Rice Research: Open Access
Open Access

Using breeder seed indents data from selected years, the current thesis attempts to analyse rice varietal dynamics and diversity in India. Through analysing the literature, an effort has also been made to establish fundamental causes of varietal dynamics and interventions to increase varietal turnover. There has been an improvement in rice varietal diversity in recent years at the All India level. However, the fact that the top 10 varieties have a higher weighted average age suggests that older varieties are replacing varietals. In the case of Basmati rice varieties, there are also varietal differences. The number of varieties has increased over time, although the share of the top three varieties has decreased indentation for Seed Association of India’s share was 20 and 31 percent, respectively. Rice varietal dynamics are influenced by a variety of influences. As a result, a multi-pronged strategy is needed to promote acceptance of improved rice varieties with a shorter adoption lag [1]. Targeted extension strategies focused on the proportion of farmers with various forms of learning habits, nudging varietal adoption behaviour by exploiting seed subsidy and competitiveness policies, promoting private sector interest in research and varietal commercialization, and enabling marketing of rice varieties of various durations by synchronising marketing cycles with harvesting periods. Varietal dynamics may be influenced in the future by various processes for indenting for varieties and price fixation for breeder seed depending on whether a variety is covered or not under the PPV&FR Act [2]. According to the findings of this report, rice varietal diversity in India has increased in recent years in terms of metrics. I the amount of varieties for which breeder seed indents is obtained (ii) the number of varieties contributing 75% of total indented quantity (iii) the lower share of the top 10 varieties in total breeder seed indents. However, the top 10 varieties have a higher weighted average age. They proposed conducting pilot surveys to determine the proportion of farmers with various learning styles in a given area and to prepare potential strategies depending on the design of technology. Multiple influences, such as new variety characteristics, demand opportunities for various rice varieties, farmer preferences and learning behaviour, and divergent contextual factors (such as hydrology, soil suitability, and so on) [3], are said to influence rice varietal dynamics, according to the literature. Reduced breeding period time, tailored extension strategies focused on the share of farmers with different styles of learning habits, nudging varietal adoption behaviour by seed subsidy and competitiveness policies, promoting private sector involvement in research and varietal commercialization, and enabling marketing of rice varieties of various durations through synchronizing marketing with crop harvesting period are some of the suggested components in the multi-pronged strategy. With certain drawbacks, the current analysis is focused solely on macro level breeder seed indents. As a result, further disaggregated research in the future will be able to provide more information on varietal dynamics in various rice habitats and related causes.