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QTL mapping for root architecture and transpiration efficiency in a maize introgression library

OAR@ICRISAT

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Relation http://oar.icrisat.org/10709/
 
Title QTL mapping for root architecture and transpiration efficiency in a maize introgression library
 
Creator Silvia, G
Silvio, S
Vadez, V
Carlos, B
Roberto, T
 
Subject Maize
 
Description High transpiration efficiency (TE) is one way to optimize water
use. Although variation for root morpho-physiological traits
can strongly affect the water status of a plant, the relationship
between root traits and TE is not well understood. A maize introgression
library (IL) derived from the cross between Gaspé Flint
(an early line; donor parent) and B73 (an elite line; recurrent parent)
were evaluated in order to identify QTLs for root system architecture
(RSA), total biomass (TB), leaf area (LA), transpiration
rate (TR), transpiration efficiency (TE), flowering time (FT), grain
yield (GY) and yield components (YC). Two different experiments
were carried out in order to study the genetic control of i) RSA, FT,
GY and YC in response to drought in field conditions, at UNIBO,
Italy and ii) TE, TR, TB and LA in controlled environment at different
VPD, at ICRISAT, India. Differences in leaf area among the IL
lines explained only 40% of the transpiration differences under
high evaporative demand. QTLs were identified for all investigated
traits. Overlaps between root and transpiration-related QTLs were
detected on chromosomes 1 and 8. At these QTLs, the Gaspè Flint
allele was associated with a TE decrease. A particularly interesting
QTL for GY and YC, FT and TR was mapped on chromosome
3 (bin 3.3) where the Gaspè Flint allele was associated with an
increase of both yield and transpiration rate and earliness.
 
Date 2017-02
 
Type Conference or Workshop Item
PeerReviewed
 
Format application/pdf
 
Language en
 
Rights —
 
Identifier http://oar.icrisat.org/10709/1/229%20-%20QTL%20mapping%20for%20root%20architecture%20and%20transpiration%20efficiency%20in%20a%20maize.pdf
Silvia, G and Silvio, S and Vadez, V and Carlos, B and Roberto, T (2017) QTL mapping for root architecture and transpiration efficiency in a maize introgression library. In: InterDrought-V, February 21-25, 2017, Hyderabad, India.