Genetics Of Physiological Traits Associated With Drought Tolerance In Soybean Glycine Max

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Genetics of Physiological Traits Associated with Drought Tolerance in Soybean (glycine Max)

Genetics of Physiological Traits Associated with Drought Tolerance in Soybean (glycine Max)
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Total Pages : 430
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ISBN-10 : OCLC:1260851309
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Book Synopsis Genetics of Physiological Traits Associated with Drought Tolerance in Soybean (glycine Max) by : Sumandeep Kaur Bazzer

Download or read book Genetics of Physiological Traits Associated with Drought Tolerance in Soybean (glycine Max) written by Sumandeep Kaur Bazzer and published by . This book was released on 2020 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max L.) is one of the major row crops in the United States, and its production is often limited by drought stress. Physiological traits from exotic germplasm that confer drought tolerance may be useful in improving commercial soybean production. For example, carbon isotope ratio (?13C) is positively correlated with water use efficiency (WUE), and nitrogen isotope ratio (?15N) is negatively correlated with N2 fixation; canopy temperature (CT) is an indicator for genetic variation in transpiration and stomatal conductance. Therefore, the objectives of this research were to identify the genomic regions associated with: (1) ?13C and ?15N using a population of 196 F6-derived recombinant inbred lines (RIL) from PI 416997 × PI 567201D that was phenotyped in four environments, (2) CT and ?13C using a population of 168 F5-derived RILs from KS4895 × Jackson that was phenotyped in multiple environments and irrigation treatments. In the PI 416997 × PI 567201D population, ?13C and ?15N had a wide phenotypic range in all environments, and PI 416997 had higher ?13C and lower ?15N values than PI 567201D. ?13C had high heritability (90%) whereas the heritability of ?15N was relatively lower (35%), indicating that ?15N was more affected by the environment. QTL mapping identified eight loci on seven chromosomes associated with ?13C, and these loci explained between 2.5 to 30% of the phenotypic variation. There were 13 loci on 10 chromosomes associated with ?15N, explaining 1.7 to 14.4% of the phenotypic variation. There were strong interactions between QTLs and environments for ?15N. In the KS4895 × Jackson RIL population, Jackson had a cooler canopy than KS4895, and the heritability of CT had low heritability (31%) across environments. There were 11 loci present on eight chromosomes associated with CT that individually explained 4.6 to 12.3% of the phenotypic variation. The heritability of ?13C in KS4895 × Jackson RIL population heritability was 83% when estimated over environments and over irrigation treatments. A total of 24 QTLs associated with ?13C were identified and clustered in nine genomic loci on seven chromosomes. The identified QTLs for ?13C, ?15N, and CT were co-localized with genomic regions associated with drought tolerance-related traits from previous studies. These genomic regions may be important resources in soybean breeding programs to improve tolerance to drought. Further research is needed to fine map the identified QTLs and validate markers linked with these regions.


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