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Attention Score in Context
| Title |
Numerous genetic loci identified for drought tolerance in the maize nested association mapping populations
|
|---|---|
| Published in |
BMC Genomics, November 2016
|
| DOI | 10.1186/s12864-016-3170-8 |
| Pubmed ID | |
| Authors |
Chunhui Li, Baocheng Sun, Yongxiang Li, Cheng Liu, Xun Wu, Dengfeng Zhang, Yunsu Shi, Yanchun Song, Edward S. Buckler, Zhiwu Zhang, Tianyu Wang, Yu Li |
| Abstract |
Maize requires more water than most other crops; therefore, the water use efficiency of this crop must be improved for maize production under undesirable land and changing environmental conditions. To elucidate the genetic control of drought in maize, we evaluated approximately 5000 inbred lines from 30 linkage-association joint mapping populations under two contrasting water regimes for seven drought-related traits, including yield and anthesis-silking interval (ASI). The joint linkage analysis was conducted to identify 220 quantitative trait loci (QTLs) under well-watered conditions and 169 QTLs under water-stressed conditions. The genome-wide association analysis identified 365 single nucleotide polymorphisms (SNPs) associated with drought-related traits, and these SNPs were located in 354 candidate genes. Fifty-two of these genes showed significant differential expression in the inbred line B73 under the well-watered and water-stressed conditions. In addition, genomic predictions suggested that the moderate-density SNPs obtained through genotyping-by-sequencing were able to make accurate predictions in the nested association mapping population for drought-related traits with moderate-to-high heritability under the water-stressed conditions. The results of the present study provide important information that can be used to understand the genetic basis of drought stress responses and facilitate the use of beneficial alleles for the improvement of drought tolerance in maize. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Italy | 1 | <1% |
| Unknown | 98 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 25% |
| Researcher | 20 | 20% |
| Student > Master | 18 | 18% |
| Student > Doctoral Student | 9 | 9% |
| Student > Bachelor | 3 | 3% |
| Other | 9 | 9% |
| Unknown | 17 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 62 | 61% |
| Biochemistry, Genetics and Molecular Biology | 13 | 13% |
| Engineering | 3 | 3% |
| Unspecified | 2 | 2% |
| Immunology and Microbiology | 2 | 2% |
| Other | 1 | <1% |
| Unknown | 18 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 September 2022.
All research outputs
#7,448,698
of 23,419,482 outputs
Outputs from BMC Genomics
#3,500
of 10,766 outputs
Outputs of similar age
#111,279
of 314,595 outputs
Outputs of similar age from BMC Genomics
#65
of 224 outputs
Altmetric has tracked 23,419,482 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 10,766 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 66% 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 314,595 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 63% of its contemporaries.
We're also able to compare this research output to 224 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 70% of its contemporaries.