Terminal Drought Stress Adaptability in Synthetic-derived Bread Wheat is Explained by Alleles of Major Adaptability Genes and Superior Phenology. | [International Journal of Agriculture and Biology • 2018]

Author(s):

1. Fakiha Afzal: Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Ahmad Ali: Center for Plant Sciences and Biodiversity, University of Swat, Swat, Pakistan

3. Zahid Ullah: Center for Plant Sciences and Biodiversity, University of Swat, Swat, Pakistan

4. Hassan Sher: Center for Plant Sciences and Biodiversity, University of Swat, Swat, Pakistan

5. Alvina Gul: Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), Islamabad, Pakistan: School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA

6. Abdul Mujeeb Kazi: Texas A&M University, Amarillo, TX 79106, USA

7. Muhammad Arshad: Department of Botany, PMAS Arid Agriculture University, Rawalpindi, Pakistan

Abstract:

Establishing the agronomic superiority of wheat germplasm derived from crop-wild introgressions under field stress conditions is of prime importance in breeding. Comparative performance between synthetic-derived bread wheat (SBW) and conventional bread wheat (CBW) under terminal drought stress condition was evaluated in this study. Evaluations were carried out under well-watered and drought stress conditions for two consecutive years at pre-anthesis stage of crop. Based on drought susceptibility index (DSI) values, the SBW genotypes SBW6, SBW8, SBW10, SBW13, SBW22, SBW23 and SBW24 had low values than the check varieties under drought stress. The genotypes exhibited narrow range of flowering time, however SBW with photoperiod insensitive (Ppd-D1a) and wild-type Rht-B1a/Rht-D1a alleles have clear yield advantage over CBW under terminal drought stress. Likewise, winter-type vrn-A1 and vrn-D1 alleles slightly increased heading time and enhanced yield in SBW. SSR based population structure inferred from Bayesian analysis and principal component analysis (PCA) dissected the population into 2 sub-groups, with most of the SBW in one sub-population and slight admixture between SBW and CBW. In conclusion, these results indicate the agronomic superiority of SBW under terminal drought stress is likely through retention of favorable alleles in SBW sub-population. Low DSI (DSI<1) values can be used as a selection criterion for increasing yields under terminal drought conditions.

Page(s): 1623-1631

DOI: 10.17957/IJAB/15.0680

Published: Journal: International Journal of Agriculture and Biology, Volume: 20, Issue: 7, Year: 2018

Keywords:

Keywords are not available for this article.

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