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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genome-Wide Analysis of japonica Rice Performance under Limited Water and Permanent Flooding Conditions
|
|---|---|
| Published in |
Frontiers in Plant Science, October 2017
|
| DOI | 10.3389/fpls.2017.01862 |
| Pubmed ID | |
| Authors |
Andrea Volante, Francesca Desiderio, Alessandro Tondelli, Rosaria Perrini, Gabriele Orasen, Chiara Biselli, Paolo Riccardi, Alessandra Vattari, Daniela Cavalluzzo, Simona Urso, Manel Ben Hassen, Agostino Fricano, Pietro Piffanelli, Paolo Cozzi, Filippo Biscarini, Gian Attilio Sacchi, Luigi Cattivelli, Giampiero Valè |
| Abstract |
A rice GWAS panel of 281 accessions of japonica rice was phenotypically characterized for 26 traits related to phenology, plant and seed morphology, physiology and yield for 2 years in field conditions under permanent flooding (PF) and limited water (LW). A genome-wide analysis uncovered a total of 160 significant marker-trait associations (MTAs), of which 32 were LW-specific, 59 were PF-specific, and 69 were in common between the two water management systems. LW-specific associations were identified for several agronomic traits including days to maturation, days from flowering to maturation, leaf traits, plant height, panicle and seed traits, hundred grain weight, yield and tillering. Significant MTAs were detected across all the 12 rice chromosomes, while clusters of effects influencing different traits under LW or in both watering conditions were, respectively, observed on chromosomes 4, 8, and 12 and on chromosomes 1, 3, 4, 5, and 8. The analysis of genes annotated in the Nipponbare reference sequence and included in the regions associated to traits related to plant morphology, grain yield, and physiological parameters allowed the identification of genes that were demonstrated to affect the respective traits. Among these, three (OsOFP2, Dlf1, OsMADS56) and seven (SUI1, Sd1, OsCOL4, Nal1, OsphyB, GW5, Ehd1) candidate genes were, respectively, identified to co-localize with LW-specific associations and associations in common between the two water treatments. For several LW-specific MTAs, or in common among the two treatments, positional co-localizations with previously identified QTLs for rice adaptation to water shortages were observed, a result that further supports the role of the loci identified in this work in conferring adaptation to LW. The most robust associations identified here could represent suitable targets for genomic selection approaches to improve yield-related traits under LW. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 80 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 80 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 29% |
| Student > Ph. D. Student | 12 | 15% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 11 | 14% |
| Unknown | 20 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 57% |
| Biochemistry, Genetics and Molecular Biology | 7 | 9% |
| Computer Science | 2 | 3% |
| Unspecified | 1 | 1% |
| Medicine and Dentistry | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 23 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 04 December 2017.
All research outputs
#14,959,314
of 23,008,860 outputs
Outputs from Frontiers in Plant Science
#9,401
of 20,507 outputs
Outputs of similar age
#194,424
of 328,608 outputs
Outputs of similar age from Frontiers in Plant Science
#240
of 482 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,507 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 328,608 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 482 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.