Can results from a laboratory bioassay be used as an indicator of field performance of rice cultivars with allelopathic potential against Damasonium minus (starfruit)?
Alexa N. Seal A B , James E. Pratley A and Terry Haig AA EH Graham Centre for Agricultural Innovation, Locked Bag 588, Wagga Wagga, NSW 2678, Australia.
B Corresponding author. Email: aseal@csu.edu.au
Australian Journal of Agricultural Research 59(2) 183-188 https://doi.org/10.1071/AR06333
Submitted: 18 October 2006 Accepted: 21 September 2007 Published: 19 February 2008
Abstract
Several weeds of rice in Australia have developed resistance to the main herbicide available for their control. Allelopathy is one phenomenon that could be incorporated into an integrated weed-management system as a supplement or alternative to synthetic herbicides. Several rice cultivars were screened both in the laboratory and the field for allelopathic potential against a major rice weed, Damasonium minus. Results from the laboratory bioassay showed that there were significant differences among cultivars in their ability to inhibit D. minus root growth. D. minus root lengths ranged from 2.0% (cv. Hungarian #1) to 32.6% (cv. Rexmont) that of the control. In the field study, significant differences existed in the D. minus dry matter grown in association with different cultivars, ranging from 4.6% (cv. Tono Brea) to 72.2% (cv. Rexmont) that of the control. Comparison between laboratory and field results indicated a strong relationship between performance in the field and in the laboratory (r2 = 0.713). Those cultivars ranked as allelopathic in the bioassay tended to have associated lower D. minus dry weight in the field. Eight of the top 10 allelopathic cultivars in the bioassay were among the top 10 suppressive cultivars in the field trial. This important finding indicates that at least some of the variation in field performance of cultivars may be predicted by their performance in bioassays.
Additional keywords: allelopathy, equal compartment agar method, Oryza sativa.
Bertholdsson NO
(2005) Early vigour and allelopathy—two useful traits for enhanced barley and wheat competitiveness against weeds. Weed Research 45, 94–102.
| Crossref | GoogleScholarGoogle Scholar |
Chung IM,
Ahn JK, Yun SJ
(2001) Assessment of allelopathic potential of barnyard grass (Echinochloa crus-galli) on rice (Oryza sativa L.) cultivars. Crop Protection 20, 921–928.
| Crossref | GoogleScholarGoogle Scholar |
Chung IM,
Kim JT, Kim SH
(2006) Evaluation of allelopathic potential and quantification of momilactone A, B from rice hull extracts and assessment of inhibitory bioactivity on paddy field weeds. Journal of Agricultural and Food Chemistry 54, 2527–2536.
| Crossref | GoogleScholarGoogle Scholar | PubMed |
Dilday RH,
Lin J, Yan W
(1994) Identification of allelopathy in the USDA-ARS rice germplasm collection. Australian Journal of Experimental Agriculture 34, 907–910.
| Crossref | GoogleScholarGoogle Scholar |
Inderjit
(1996) Plant phenolics in allelopathy. Botanical Review 62, 186–202.
Inderjit , Callaway RM
(2003) Experimental designs for the study of allelopathy. Plant and Soil 256, 1–11.
| Crossref | GoogleScholarGoogle Scholar |
Inderjit , Nilsen ET
(2003) Bioassays and field studies for allelopathy in terrestrial plants: progress and problems. Critical Reviews in Plant Sciences 22, 221–238.
| Crossref | GoogleScholarGoogle Scholar |
Inderjit , Weston LA
(2000) Are laboratory bioassays for allelopathy suitable for prediction of field responses? Journal of Chemical Ecology 26, 2111–2118.
| Crossref | GoogleScholarGoogle Scholar |
Nilsson MC
(1994) Separation of allelopathy and resource competition by the boreal dwarf shrub Empetrum hermaphroditum Hagerup. Oecologia 98, 1–7.
| Crossref | GoogleScholarGoogle Scholar |
Olofsdotter M,
Navarez D, Moody K
(1995) Allelopathic potential in rice (Oryza sativa L.) germplasm. Annals of Applied Biology 127, 543–560.
Olofsdotter M,
Navarez D,
Rebulanan M, Streibig JC
(1999) Weed-suppressing cultivars—does allelopathy play a role? Weed Research 39, 441–454.
| Crossref | GoogleScholarGoogle Scholar |
San Emeterio L,
Damgaard C, Canals RM
(2007) Modelling the combined effect of chemical interference and resource competition on the individual growth of two herbaceous populations. Plant and Soil 292, 95–103.
| Crossref | GoogleScholarGoogle Scholar |
Seal AN,
Pratley JE,
Haig TJ, Lewin LG
(2004) Screening rice cultivars for allelopathic potential against arrowhead (Sagittaria montevidensis), an aquatic weed infesting Australian Riverina rice crops. Australian Journal of Agricultural Research 55, 673–680.
| Crossref | GoogleScholarGoogle Scholar |
Streibig JC
(1988) Herbicide bioassay. Weed Research 28, 479–484.
| Crossref | GoogleScholarGoogle Scholar |
Wu H,
Pratley J,
Lemerle D, Haig T
(2000) Laboratory screening for allelopathic potential of wheat (Triticum aestivum) accessions against annual ryegrass (Lolium rigidum). Australian Journal of Agricultural Research 51, 259–266.
| Crossref | GoogleScholarGoogle Scholar |