| Title |
Genetics of nonsenescence and charcoal rot resistance in sorghum
|
|---|---|
| Published in |
Theoretical and Applied Genetics, January 1993
|
| DOI | 10.1007/bf00220925 |
| Pubmed ID | |
| Authors |
A. Tenkouano, F. R. Miller, R. A. Frederiksen, D. T. Rosenow |
| Abstract |
Nonsenescence is a delayed leaf and plant death resistance mechanism in sorghum that circumvents the detrimental effects of reduced soil moisture combined with high temperatures during post-anthesis growth. This drought-tolerance mechanism is often equated with charcoal rot resistance, a widespread root and stalk disease of great destructive potential. Therefore, the inheritance of charcoal rot resistance was investigated directly, by exposure of sorghum to Macrophomina phaseolina, the causal organism, and indirectly, by determination of the inheritance of nonsenescence. Sorghum families derived from diallel crosses between two nonsenescent, resistant inbreds (B35, SC599-11E) and two senescent, susceptible inbreds (BTx378, BTx623) were evaluated in 1989 at College Station and at Lubbock, Texas, under controlled and field conditions. We determined that nonsenescence was regulated by dominant and recessive epistatic interactions between two nonsenescence-inducing loci and a third locus with modifying effects. The same conclusion was reached for charcoal rot resistance. The presence of different genetic mechanisms within SC599-11E for nonsenescence and charcoal rot resistance verifies that these two forms of resistance are not different manifestations of a single trait, i.e., they are not to be equated with each other. We conclude that nonsenescence alone cannot account for, and should not be used as the sole breeding criterion for, resistance to charcoal rot in sorghum. |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 4% |
| Unknown | 22 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 17% |
| Researcher | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Postgraduate | 2 | 9% |
| Other | 4 | 17% |
| Unknown | 5 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 17 | 74% |
| Earth and Planetary Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 3 | 13% |
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 17 March 2020.
All research outputs
#7,591,533
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,320
of 3,565 outputs
Outputs of similar age
#13,289
of 66,911 outputs
Outputs of similar age from Theoretical and Applied Genetics
#7
of 11 outputs
Altmetric has tracked 23,794,258 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 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 62% of its peers.
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