Relation between agrometeorological indices, crop phenology and yield of rice genotypes as influenced by real time N management

Abstract

Field experiment was conducted during 2012 and 2013 to study yield variations in rice genotypes (Oryza sativa L.) due to leaf colour chart (LCC) based N application and agrometeorological indices. Treatments included two rice genotypes (Jhelum and SR-2) and eight rates of N application (control, recommended practice (120 kg N ha-1) and LCC d” 3, 4 and 5 @ 20 and 30 kg N ha-1) laid out in randomized block design replicated three. The pooled data showed that SR-2 recorded significantly higher value of yield and growing degree days (GDD), heliothermal units (HTU) and heat use efficiency (HUE), besides took more days to reach different phenophases as compared to Jhelum. LCC d”5 @ 30 and 20 kg N ha-1 recorded significantly higher grain yield, GDD, HTU, HUE and took maximum number of days to different phenophases. This indicated that N application based on LCC 5 should be adopted in rice cultivars particularly SR-2 to achieve maximum yield under temperate conditions of Kashmir valley.