Depiction of Genomic Regions and Genes Related with Drought Tolerance in Sorghum [Sorghum bicolor (L.) Moench]
Asian Plant Research Journal · pp. 14–26 · Published 28 Jan 2022
10.9734/aprj/2022/v9i130196Abstract
The study of quantitative trait loci (QTLs) can bridge the gap between traditional breeding procedures and more efficient genetic improvements. The study of quantitative trait loci (QTLs) can bridge the gap between traditional breeding procedures and more efficient genetic improvements. In this report, we assess progress in mapping quantitative trait loci and genes associated with drought resistance in sorghum. Drought avoidance is linked to a number of morphological and physiological adaptations, including limiting water loss and increasing water absorption. The effects of physiological parameters will be investigated in order to find certain selection criteria that could be relevant in the development of drought-tolerant genotypes. Drought avoidance is linked to a number of morphological and physiological adaptation traits, including In grain sorghum, quantitative trait loci affecting green retention are an important feature for post blooming drought tolerance that have been investigated in various situations and with various genetic backgrounds. The two QTLs remain green (Stg2 and Stg4) of B35 x Tx7000 RILs were entirely matched in both populations, according to QTL analysis performed in the two mapping populations of recombinant inbred lines (RILs). Investigation done on different 44 sorghum lines confirmed that four QTL root nodal root angle discovered in the mapping population. Significant marker–trait association’s delignated within the quantitative chromosome (CI) for root angle (qRA2_5, qRA1_8 and qRA1_10) or closely allied to root angle (qRA1_5). Post-flowering drought response is expressed in sorghum when moisture stress occurs during grain development (GS-3). Three QTLs were detected for flowering time on chromosomes 2, 6, and 9, with log odds values (LOD) ranging from 2.5 to 3.3 and explained phenotypic variance (PVE) values calculated from 6 to 11%.
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