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Identification and validation of QTL for grain yield and plant water status under contrasting water treatments in fall-sown spring wheats

Overview of attention for article published in Theoretical and Applied Genetics, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

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Title
Identification and validation of QTL for grain yield and plant water status under contrasting water treatments in fall-sown spring wheats
Published in
Theoretical and Applied Genetics, May 2018
DOI 10.1007/s00122-018-3111-9
Pubmed ID
Authors

Junli Zhang, Shiferaw Abate Gizaw, Eligio Bossolini, Joshua Hegarty, Tyson Howell, Arron H. Carter, Eduard Akhunov, Jorge Dubcovsky

Abstract

Chromosome regions affecting grain yield, grain yield components and plant water status were identified and validated in fall-sown spring wheats grown under full and limited irrigation. Increases in wheat production are required to feed a growing human population. To understand the genetic basis of grain yield in fall-sown spring wheats, we performed a genome-wide association study (GWAS) including 262 photoperiod-insensitive spring wheat accessions grown under full and limited irrigation treatments. Analysis of molecular variance showed that 4.1% of the total variation in the panel was partitioned among accessions originally developed under fall-sowing or spring-sowing conditions, 11.7% among breeding programs within sowing times and 84.2% among accessions within breeding programs. We first identified QTL for grain yield, yield components and plant water status that were significant in at least three environments in the GWAS, and then selected those that were also significant in at least two environments in a panel of eight biparental mapping populations. We identified and validated 14 QTL for grain yield, 15 for number of spikelets per spike, one for kernel number per spike, 11 for kernel weight and 9 for water status, which were not associated with differences in plant height or heading date. We detected significant correlations among traits and colocated QTL that were consistent with those correlations. Among those, grain yield and plant water status were negatively correlated in all environments, and six QTL for these traits were colocated or tightly linked (< 1 cM). QTL identified and validated in this study provide useful information for the improvement of fall-sown spring wheats under full and limited irrigation.

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Mendeley readers

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Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 26%
Researcher 8 13%
Student > Master 5 8%
Student > Doctoral Student 4 7%
Unspecified 4 7%
Other 8 13%
Unknown 16 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 38 62%
Unspecified 4 7%
Biochemistry, Genetics and Molecular Biology 2 3%
Arts and Humanities 1 2%
Psychology 1 2%
Other 1 2%
Unknown 14 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 April 2019.
All research outputs
#5,691,893
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,018
of 3,565 outputs
Outputs of similar age
#94,923
of 329,222 outputs
Outputs of similar age from Theoretical and Applied Genetics
#10
of 36 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 71% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 329,222 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.