2016
DOI: 10.1186/s12864-016-3229-6
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Genome-wide association study (GWAS) reveals the genetic architecture of four husk traits in maize

Abstract: BackgroundMaize (Zea mays) husk referring to the leafy outer enclosing the ear, plays an important role in grain production by directly contributing photosynthate and protecting ear from pathogen infection. Although the physiological functions related to husk have been extensively studied, little is known about its morphological variation and genetic basis in natural population.ResultsHere we utilized a maize association panel including 508 inbred lines with tropical, subtropical and temperate backgrounds to d… Show more

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Cited by 59 publications
(73 citation statements)
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“…Many researchers have analysed complex quantitative traits using association panels collected from hundreds of inbreds from all over the world, especially in maize [ 38 , 39 ]. These inbreds usually originate from different breeding programmes around the world.…”
Section: Discussionmentioning
confidence: 99%
“…Many researchers have analysed complex quantitative traits using association panels collected from hundreds of inbreds from all over the world, especially in maize [ 38 , 39 ]. These inbreds usually originate from different breeding programmes around the world.…”
Section: Discussionmentioning
confidence: 99%
“…The appropriateness of the different models was evaluated through Q – Q plots that were obtained by plotting ‘expected − log10 P values’ on the x -axis and ‘observed − log10 P values’ on the y -axis. Multiple testing correction was performed to determine the significance threshold, where instead of 345,767 independent tests, the total number of tests were estimated based on the average extent of LD at r 2 = 0.1 (Cui et al 2016 ). Based on this, significant associations were declared when the P values in independent tests are less than 5.03 × 10 −05 or − log10 ( P values) are greater than 4.3.…”
Section: Methodsmentioning
confidence: 99%
“…R 2 statistics was used to assess the amount of phenotypic variation explained by the model by simultaneously fitting all significant SNPs in a linear model. Multiple testing correction was performed to determine the significance threshold, where instead of 337,110 independent tests, the total number of tests was estimated based on the average extent of LD at r 2 = 0.1 (Cui et al, 2016). With respect to the above, significant associations were declared when P-values in independent tests were less than 9.5 × 10 −6 .…”
Section: Genome-wide Association Analysesmentioning
confidence: 99%