
pmid: 19274132
pmc: PMC2619751
The replacement series approach was used to detect and define competition between Meloidogyne incognita (Mi) and Rotylenchulus reniformis (Rr) on soybean. In three greenhouse tests, soybean cv. Davis seedlings were inoculated with 1,000 vermiform nematodes in the following Mi:Rr ratios: 0:0, 100:0, 75:25, 50:50, 25:75, and 0:100. After 86 days, relative nematode-yield values (number of each species in mixed culture divided by number in nonmixed culture) were calculated based on nematodes in soil per gram of dry root tissue. Calculated values were plotted and the resulting line compared with a reference line representing equal inter- and intraspecific competition predicted by the replacement series. Relative yields for Mi were higher than predicted at all ratios where Mi and Rr occurred together (lack-of-fit regression, F= 5.9401, P = 0.0008), indicating increased reproduction in the presence of Rr. Relative yields for Rr did not differ from predicted yields (lack-of-fit regression, F= 0.7565, P = 0.5203), indicating no effect of Mi on Rr. These relationships were not detected using analysis of variance. The relationship between Mi and Rr was independent of host colonization by Diaporthe phaseolorum var. caulivora, the stem canker fungus.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 7 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
