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. 2014 Jun 29;34(2):283–295. doi: 10.1007/s11032-013-0012-0

Table 3.

QTLs for leaf rolling score, root pulling force, yield, and yield components under drought condition identified from the IR64/Cabacu population

Traits QTLs Chra Peak marker Increased effect LODb R 2 (%)c Ad
Leaf rolling score qLRS1.1 1 id1025983 Cabacue 3.2f 9.1 –0.7
Root pulling force qRPF2.1 2 id2009319 Cabacu 3.5 10.0 –2.2
Yield per plant qGY1.1 1 id1023892 IR64 3.2 9.1 1.5
Percent seed set qPSS8.1 8 id8003838 IR64 5.3 g 14.7 9.2
qPSS8.2 8 id8005359 IR64 7.7 20.5 11.3
Grains per panicle qGPP2.1 2 wd2000409 Cabacu 3.1 8.9 –7.6
qGPP8.1 8 id8003838 IR64 4.0 11.2 8.2
qGPP8.2 8 id8005359 IR64 6.0 16.4 10.8
Spikelets per panicle qSPP4.1 4 id4010621 Cabacu 3.7 10.6 –8.7
Days to heading qDTH8.1 8 id8004029 Cabacu 3.1 8.8 –2.1
qDTH10.1 10 id10005538 Cabacu 3.9 11.0 –2.7
Plant height qPH1.1 1 id1024836 Cabacu 16.3 38.6 –12.3

aChromosome no

bLogarithm of odds score

cRelative contributions of the putative QTLs to the phenotypic variation

dAdditive effect. A positive or negative value indicates that the allele from IR64 or Cabacu increases the trait value, respectively

eA higher score for LRS is unfavorable (more leaf rolling)

fQTLs in regular type were identified at P < 0.05 using permutation analysis

gQTLs in bold face were identified at P < 0.01