| Title |
QTL for tuber morphology traits in diploid potato
|
|---|---|
| Published in |
Journal of Applied Genetics, February 2018
|
| DOI | 10.1007/s13353-018-0433-x |
| Pubmed ID | |
| Authors |
Agnieszka Hara-Skrzypiec, J. Śliwka, H. Jakuczun, E. Zimnoch-Guzowska |
| Abstract |
A diploid, potato mapping population consisting of 149 individuals was assessed in three consecutive years for important agronomic and quality traits: tuber shape, regularity of tuber shape, eye depth, mean tuber weight, and tuber flesh color. Analysis of variance showed that the genotype had the largest influence on the phenotypic scores but effect of the genotype × year interactions was also strong. Using this data and an existing genetic map, a quantitative trait loci (QTL) analysis was conducted. From four to seven QTL were detected for each trait except tuber flesh color, which was determined by a major QTL on chromosome III explaining 76.8% of the trait variance. Additionally, a minor QTL for flesh color was localized on chromosome II. For the other traits, significant QTL were detected: for tuber shape on chromosome X, for regularity of tuber shape on chromosome III, for eye depth on chromosome IV, and for tuber weight on chromosome I. Some detected QTL confirmed previous studies, but new ones were also identified. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 35 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 37% |
| Student > Ph. D. Student | 4 | 11% |
| Student > Bachelor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 7 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 20% |
| Economics, Econometrics and Finance | 1 | 3% |
| Medicine and Dentistry | 1 | 3% |
| Unknown | 7 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 23 August 2018.
All research outputs
#13,361,642
of 23,053,169 outputs
Outputs from Journal of Applied Genetics
#139
of 395 outputs
Outputs of similar age
#166,601
of 330,548 outputs
Outputs of similar age from Journal of Applied Genetics
#4
of 11 outputs
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So far Altmetric has tracked 395 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 64% of its peers.
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We're also able to compare this research output to 11 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 63% of its contemporaries.