Genetic gain and morpho-physiological characterisation of BILs (Backcross inbred lines) under different moisture regimes in wheat (Triticum aestivum. L)

B. Manu; P. Shashi Kumara; Sunil Biradar; Rahul Phuke; Divya Ambati; S. V. Sai Prasad; P. C. Mishra; K.,  K. Mishra; Harikrishna; Neelu Jain; P. K. Singh; G. P. Singh; K. V. Prabhu

B. Manu PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
P. Shashi Kumara PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
Sunil Biradar PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
Rahul Phuke PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
Divya Ambati PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
S. V. Sai Prasad PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
P. C. Mishra PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
K., K. Mishra PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
Harikrishna PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
Neelu Jain PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
P. K. Singh PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
G. P. Singh PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012
K. V. Prabhu PPVFRA, NAS Complex, DPS Marg, Pusa Campus, New Delhi 110 012

Keywords: Genetic gain, NDVI, CT, PCA, AMMI, GGE.

Abstract

Drought stress is one of the major yield limiting factors in realising the full genetic potential of wheat. In the present study, backcross inbred line population derived from GW322*2/ HI1500 was characterized for different morpho-physiological traits and grain yield under rainfed and irrigated conditions. Principal component analysis revealed that first five components explained over 66.35 per cent of variation. Grain yield showed significant correlation with biomass and physiological traits viz., NDVI2, NDVI3, NDVI5, CT2, CT3 and CT4. The analysis of variance on grain yield data showed that mean squares of environments, genotypes and GEI were highly significant (p 0.01). To determine effects of GEI on grain yield, data were subjected to AMMI and GGE biplot analysis, which identified BILs G20, G2, G254, G214, G44 and G64 as the most stable and high yielding. Based on Smith selection index expected genetic gain for grain yield at 5% was 131.01gm/plot. Hence, selecting genotypes based on morpho-physiological traits will be rewarding under moisture depleting environment.