Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-30T15:09:29.931Z Has data issue: false hasContentIssue false

Temperature Thresholds and Growing-Degree-Day Models for Red Sorrel (Rumex acetosella) Ramet Sprouting, Emergence, and Flowering in Wild Blueberry

Published online by Cambridge University Press:  20 January 2017

Scott N. White*
Affiliation:
Department of Environmental Sciences, Dalhousie University Faculty of Agriculture, Truro, Nova Scotia, B2N 5E3
Nathan S. Boyd
Affiliation:
Gulf Coast Research and Education Centre, University of Florida, Wimauma, FL 33598
Rene C. Van Acker
Affiliation:
Department of Plant Agriculture, University of Guelph, Guelph, Ontario, N1G 2W1
*
Corresponding author's E-mail: [email protected]

Abstract

Red sorrel is a common herbaceous creeping perennial weed in wild blueberry fields in Nova Scotia that spreads by seeds and an extensive creeping root system. Experiments were established to determine temperature thresholds for ramet sprouting from creeping root fragments and to develop growing-degree-day (GDD) models for predicting ramet emergence and flowering under field conditions in wild blueberry fields in Nova Scotia. Ramets sprouted from root fragments at temperatures as low as 1 C, with an optimum temperature for ramet sprouting around 22 C. Ramet sprouting was completely inhibited at temperatures above 35 C. Cumulative ramet emergence and flowering under field conditions were adequately explained as functions of GDD by a three-parameter power equation (R2 = 0.98) and a four-parameter logistic equation (R2 = 0.87), respectively. Ramet emergence began between 110 and 265 GDD and continued throughout the season at each site. Model prediction for the initiation of emergence was 92 GDD, and 50 and 95% emergence were predicted to occur at 1,322 and 2,696 GDD, respectively. Red sorrel ramets began to flower in the field between 308 and 515 GDD. Model prediction for the initiation of flowering was 289 GDD, and 50 and 95% flowering were predicted to occur at 545 and 1,336 GDD, respectively. Model validation was conducted with the use of two additional independent data sets for emergence and flowering and indicated good performance of the proposed models (R2 and root-mean-square error values ranging from 0.96 to 0.99 and 4.0 to 13.8, respectively). The models allow for direct comparison of red sorrel phenology to that of the wild blueberry and will aid in the development of new management strategies.

Type
Weed Biology and Ecology
Copyright
Copyright © Weed Science Society of America 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Literature Cited

[AAFC]Agriculture and Agri-Food Canada (2005) Crop Profile for Wild Blueberry in Canada. Ottawa, ON, Canada Pesticide Risk Reduction Program, Pest Management Center. 39 pGoogle Scholar
Ball, DA, Frost, SM, Gitelman, AI (2004) Predicting timing of downy brome (Bromus tectorum) seed production using growing degree days. Weed Sci. 52:518524 Google Scholar
Bowley, SR (2008) A hitchhikers guide to statistics in plant biology. Guelph, ON, Canada Any Old Subject Books. 250 pGoogle Scholar
Boyd, NS, White, S (2009) Impact of wild blueberry harvesters on weed seed dispersal within and between fields. Weed Sci. 57:541546 Google Scholar
Donald, WW (2000) A degree-day model of Cirsium arvense shoot emergence from adventitious root buds in spring. Weed Sci. 48:333341 Google Scholar
Glass, VM, Percival, DC (2000) Challenges facing the pollination and fruit set in indigenous blueberries (Vaccinium angustifolium Ait.). Fruit Var J. 54:4447 Google Scholar
Gordon, R, Bootsma, A (1993) Analyses of growing degree-days for agriculture in Atlantic Canada. Clim Res 3:169176 Google Scholar
Hacault, KM, Van Acker, RC (2006) Emergence timing and control of dandelion (Taraxacum officinale) in spring wheat. Weed Sci. 54:172181 Google Scholar
Hamdoun, AM (1972) Regenerative capacity of root fragments of Cirsium arvense (L.) Scop. Weed Res 12:128136 Google Scholar
Holt, JS, Orcutt, DE (1996) Temperature thresholds for bud sprouting in perennial weeds and seed germination in cotton. Weed Sci. 44:523533 Google Scholar
Horvath, DP, Anderson, JV, Chao, WS, Foley, ME (2003) Knowing when to grow: signals regulating bud dormancy. Trends in Plant Sci. 8:534540 Google Scholar
Hughes, AD (2012) An ecological study on red sorrel (Rumex acetosella L.) in wild blueberry fields in Nova Scotia. M.Sc. dissertation. Halifax, Nova Scotia Dalhousie University. 81 pGoogle Scholar
Izquierdo, J, González-Andújar, JL, Bastida, F, Lezaún, JA, Sánchez del Arco, MJ (2009) A thermal time model to predict corn poppy (Papaver rhoeas) emergence in cereal fields. Weed Sci. 57:660664 Google Scholar
Jensen, KIN, Kimball, ER (1985) Tolerance and residues of hexazinone in lowbush blueberries. Can J Plant Sci. 65:223227 Google Scholar
Jensen, KIN, Kimball, ER (1987) Persistence and degradation of the herbicide hexazinone in soils of lowbush blueberry fields in Nova Scotia, Canada. Bull Environ Contam Toxicol 38:232239 Google Scholar
Kennedy, K (2009) Combined effects of fertilizer and hexazinone on sheep sorrel (Rumex acetosella L.) populations in lowbush blueberry fields. M.Sc. dissertation. Halifax, Nova Scotia Dalhousie University. 116 pGoogle Scholar
Kennedy, KJ, Boyd, NS, Nams, VO (2010) Hexazinone and fertilizer impacts on sheep sorrel (Rumex acetosella L.) in wild blueberry. Weed Sci. 58:317322 Google Scholar
Kennedy, KJ, Boyd, NS, Nams, VO, Olson, AR (2011) The impacts of fertilizer and hexazinone on sheep sorrel (Rumex acetosella L.) growth patterns in lowbush blueberry fields. Weed Sci. 59:335340 Google Scholar
Li, Z (2013) Examination of hexazinone alternatives for wild blueberry production and hexazinone resistance in red sorrel (Rumex acetosella L.). M.Sc. dissertation. Halifax, Nova Scotia Dalhousie University. 92 pGoogle Scholar
Liew, J, Andersson, L, Boström, U, Forkman, J, Hakman, I, Magnuski, E (2012) Influence of temperature and photoperiod on sprouting capacity of Cirsium arvense and Sonchus arvensis root buds. Weed Res 52:449457 Google Scholar
McAllister, RS, Haderlie, LC (1985) Seasonal variations in Canada thistle (Cirsium arvense) root bud growth and root carbohydrate reserves. Weed Sci. 33:4449 Google Scholar
McCully, KV, Sampson, MG, Watson, AK (1991) Weed survey of Nova Scotia lowbush blueberry (Vaccinium angustifolium Ait.) fields. Weed Sci. 39:180185 Google Scholar
Medd, RW, Smith, RCG (1978) Prediction of the potential distribution of Carduus nutans (nodding thistle) in Australia. J Appl Ecol 15:603612 Google Scholar
Moore, RJ (1975) The biology of Canadian weeds. 13. Cirsium arvense (L.) Scop. Can J Plant Sci. 55:10331048 Google Scholar
Nowland, JL, MacDougall, JJ (1973) Soils of Cumberland County, Nova Scotia. Nova Scotia Soil Survey. Canada Department of Agriculture Rep 17 Altma, Manitoba, Canada WW Friesen and Sons Ltd Google Scholar
Robison, LR, Jeffrey, LS (1972) Hemp dogbane growth and control. Weed Sci. 20:156159 Google Scholar
Roché, CT, Hill, DC, Shafii, B (1997) Prediction of flowering in common crupina (Crupina vulgaris). Weed Sci. 45:519528 Google Scholar
Steinmaus, SJ, Prather, TS, Holt, JS (2000) Estimation of base temperatures for nine weed species. J Exp Bot. 51:275286 Google Scholar
Stopps, GJ, White, SN, Clements, DR, Upadhyaya, MK (2011) The biology of Canadian weeds. 149. Rumex acetosella L. Can J Plant Sci. 91:10371052 Google Scholar
Swan, DG, Chancellor, J (1976) Regenerative capacity of field bindweed roots. Weed Sci. 24:306308 Google Scholar
Webster, TM, Cardina, J (1999) Apocynum cannabinum seed germination and vegetative shoot emergence. Weed Sci. 47:524528 Google Scholar
White, SN, Boyd, NS, Van Acker, RC (2012) Growing degree-day models for predicting lowbush blueberry (Vaccinium angustifolium Ait.) ramet emergence, tip dieback, and flowering in Nova Scotia, Canada. HortScience 47:10141021 Google Scholar
White, SN (2014) Emergence and development of red sorrel (Rumex acetosella L.) and lowbush blueberry (Vaccinium angustifolium Ait.) ramets in lowbush blueberry fields. Ph.D. dissertation. Guelph, Ontario, Canada University of Guelph. 281 pGoogle Scholar
White, SN, Boyd, NS, Van Acker, RC (2014) Demography of red sorrel (Rumex acetosella L.) in lowbush blueberry (Vaccinium angustifolium Ait.) fields. Weed Res 54:377387 Google Scholar
Wu, L, Boyd, NS, Cutler, GC, Olson, AR (2013) Spreading dogbane (Apocynum adrosaemifolium) development in wild blueberry fields. Weed Sci. 61:422427 Google Scholar
Yarborough, DE, Bhowmik, PC (1989) Effect of hexazinone on weed populations and on lowbush blueberries in Maine. Acta Hort. 241:344349 Google Scholar
Yarborough, DE, Hess, TM (1998) Effect of time of fall pruning on wild blueberry growth and yield. Pp 255257 in Proceedings of the 8th North American Blueberry Research and Extension Workers Conference. Wilmington, NC.Google Scholar