Photosynthesis and grain yield in the field environments managed for drought stress during flowering: QTL mapping for testcross performance in IBM population (CROSBI ID 649761)
Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija
Podaci o odgovornosti
Galić, Vlatko ; Franić, Mario ; Šimić, DOmagoj
engleski
Photosynthesis and grain yield in the field environments managed for drought stress during flowering: QTL mapping for testcross performance in IBM population
Measurements of chlorophyll a fluorescence transient present a powerful tool for evaluation of plant vitality in stress environments through probing the light induced energy fluxes in photosynthetic apparatus. Identification of QTLs and genes underlying chlorophyll a fluorescence has been done using a variety of methods, but QTLs for the fast chlorophyll a fluorescence transient quantified by JIP-test parameters, as a reliable early indicator of drought stress in the field environments are yet to be identified in maize testcrosses. Our experiment was set in six environments in Croatia and Turkey: three rainfed and three water-managed (water withholding during flowering), respectively, for testcrosses of 191 intermated recombinant inbred lines of the IBM maize population previously genotyped with ~107 000 markers. A tester of Iodent background was used. Initially, QTL analysis was performed using Haley-Knott regression with one QTL per chromosome model for, RC/ABS (QA– reducing centers per PSII antenna chlorophyll), PIABS (performance index for energy conservation from photons absorbed by PSII to the reduction of intersystem electron acceptors) and grain yield. As expected for complex traits, a larger number of significant but environmentally dependent QTLs was detected for RC/ABS and PIABS (LOD scores >4.2, chromosomes 4, 5 and 9) and grain yield (LOD scores >3, chromosomes 1, 4, 6, 8 and 10). Our results indicate there is a complex genetic structure for the two presented JIP-test parameters in maize testcrosses grown in drought stressed field environments but there could be a pattern of QTL effects expressed as functions of different drought scenarios. Our forthcoming complete quantitative genetic analysis of a larger field data set for series of photosynthetic and agronomic traits could be used for assessing the real- time photosynthetic performance of maize genotypes and the contribution of genomic regions under stress situations as a function of grain yield in drought-prone environments.
Maize ; qtl mapping ; IBM population ; testcross performance
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Podaci o prilogu
243-243.
2017.
objavljeno
Podaci o matičnoj publikaciji
59th Annual Maize Genetics Conference Program and Abstracts
Grotewold, Erich
St. Louis: NSF
Podaci o skupu
59th Annual Maize Genetics Conference
poster
09.03.2017-12.03.2017
St. Louis (MO), Sjedinjene Američke Države