TEDIA, K.KUSHWAHA, VASUNDHARASRIVASTAVA, L.K.CHANDEL, GIRISHSAXENA, R.R.2018-07-132018-07-132018http://krishikosh.egranth.ac.in/handle/1/5810060063The present experiment was conducted during kharif season 2017 at the Instructional Farm, Indira Gandhi Krishi Vishwavidyalaya, Raipur, Chhattisgarh. The soil was clay in texture, having pH 7.25, electrical conductivity 0.22 (dSm-1), organic carbon 0.64 percent and available nitrogen 211.7, phosphorus 13.50 and potassium 428.2 kg ha-1. The experiment was laid out in strip plot design with eight horizontal plots representing genotypes viz., Swarna (G1), RHZ-LI-23 (G2), R-RGM-AS-41(G3), R-RHZ-SM-14 (G4), RGM-ATN-47 (G5), Chandrahasini (G6), IET-24780 (G7) and R-RHZ-HZ-11 (G8). Four vertical plots represented fertility levels viz., Control (F0) (00:00:00 NPK kg ha-1), Low (F1) (80:50:30 NPK kg ha-1), Medium (F2) (110:60:40 NPK kg ha-1) and High (F3) (140:70:50 NPK kg ha-1). Treatments were replicated thrice. Among the rice genotypes tested, the genotypes Swarna (G1) and R-RGM-AS-41 (G3) produced highest grain and straw yield along with higher panicle length than all other genotypes, while the genotype IET-24780 (G7) yielded the lowest. All other genotypes namely RGM-ATN-47(G5), RHZ-LI-23(G2), Chandrahasini (G6), R-RHZ-HZ-11 (G8) and R-RHZ-SM-14 (G4) yielded in decreasing trend and were significantly lower than R-RGM-AS-41 (G3) and Swarna (G1). The nutrients uptake and use efficiency(apparent recovery) also followed the similar trend as of grain yield. Whereas, the genotype RHZ-LI-23 (G2) had the highest zinc uptake as compared to all other genotypes and lowest was recorded in IET-24780 (G7), Chandrahasini (G6) and RGM-ATN-47 (G5) genotypes. The R-RHZ-HZ-11 (G8) and R-RHZ-SM-14 (G4) genotypes were at par with each other and stand after the RHZ-LI-23 (G2) in terms of zinc uptake. Further, the genotypes RHZ-LI-23 (G2), R-RHZ-SM-14 (G4) and R-RHZ-HZ-11 (G8) were the highest in zinc accumulation but similar to each other. The lowest zinc accumulation was also observed by IET-24780 (G7), Chandrahasini (G6) and RGM-ATN-47 (G5) genotypes. The fertility levels significantly influenced the growth and yield parameters as well as uptake of nutrients and these were the highest at high fertility level and decreased with decreasing fertility levels. However, the nutrient use efficiency was decreased with increasing levels of fertilizer application.ennullEVALUATION OF RICE GENOTYPES FOR ZINC ACCUMULATION UNDER DIFFERENT FERTILITY STATUSThesis