Skip to main content
×
×
Home

Evaluation of Weed Emergence Model AlertInf for Maize in Soybean

  • Roberta Masin (a1), Donato Loddo (a1), Valentina Gasparini (a1), Stefan Otto (a2) and Giuseppe Zanin (a1)...
Abstract

AlertInf is a recently developed model to predict the daily emergence of three important weed species in maize cropped in northern Italy (common lambsquarters, johnsongrass, and velvetleaf). Its use can improve the effectiveness and sustainability of weed control, and there has been growing interest from farmers and advisors. However, there are two important limits to its use: the low number of weed species included and its applicability only to maize. Consequently, the aim of this study was to expand the AlertInf weed list and extend its use to soybean. The first objective was to add another two important weed species for spring-summer crops in Italy, barnyardgrass and large crabgrass. Given that maize and soybean have different canopy architectures that can influence the interrow microclimate, the second objective was to compare weed emergence in maize and soybean sown on the same date. The third objective was to evaluate if AlertInf was transferable to soybean without recalibration, thus saving time and money. Results showed that predictions made by AlertInf for all five species simulated in soybean were satisfactory, as shown by the high efficiency index (EF) values, and acceptable from a practical point of view. The fact that the algorithm used for estimating weed emergence in maize was also efficient for soybean, at least for crops grown in northeastern Italy with standard cultural practices, encourages further development of AlertInf and the spread of its use.

Copyright
Corresponding author
Corresponding author's E-mail: roberta.masin@unipd.it
References
Hide All
Alvarado, V, Bradford, KJ (2002) A hydrothermal time model explains the cardinal temperatures for seed germination. Plant Cell Environ. 25:10611069
Archer, DW, Forcella, F, Eklund, JJ, Gunsolus, J (2001) WeedCast Version 4.0. http://www.ars.usda.gov/services/software/software.htm. Accessed July 30, 2013
Batlla, D, Kruk, BG, Benech-Arnold, RL (2000) Very early detection of canopy presence by seeds through perception of subtle modifications in R:FR signals. Funct Ecol. 14:195202
Baumann, DT, Bastiaans, L, Kropff, MJ (2001) Effects of intercropping on growth and reproductive capacity of late-emerging Senecio vulgaris L., with special reference to competition for light. Ann Bot. 87:209217
Benjamin, LR, Milne, AE, Parsons, DJ, Lutman, PJW (2010) A model to simulate yield losses in winter wheat caused by weeds, for use in a weed management decision support system. Crop Prot. 29:12641273
Bradford, KJ (2002) Applications of hydrothermal time to quantifying and modeling seed germination and dormancy. Weed Sci. 50:248260
Chantre, GR, Blanco, AM, Lodovichi, MV, Bandoni, AJ, Sabbatini, MR, López, RL, Vigna, MR, Gigón, R (2012) Modeling Avena fatua seedling emergence dynamics: an artificial neural network approach. Comput Electron Agr. 88:95102
Colbach, N, Chauvel, B, Gauvrit, C, Munier-Jolain, NM (2007) Construction and evaluation of ALOMYSYS modelling the effects of cropping systems on the blackgrass life-cycle: from seeding to seed production. Ecol Model. 201:283300
Dorado, J, Sousa, E, Calha, IM, Gonzalez-Andujar, JL, Fernandez-Quintanilla, C (2009) Predicting weed emergence in maize crops under two contrasting climatic conditions. Weed Res. 49:251260
Forcella, F, Benech-Arnold, RL, Sanchez, R, Ghersa, CM (2000) Modeling seedling emergence. Field Crop Res. 67:123139
Gardarin, A, Guillemin, JP, Munier-Jolain, NM, Colbach, N (2010) Estimation of key parameters for weed population dynamics models: base temperature and base water potential for germination. Eur J Agron. 32:162168
Grundy, AC (2003) Predicting weed emergence: a review of approaches and future challenges. Weed Res. 43:111
Gummerson, RJ (1986) The effect of constant temperatures and osmotic potential on the germination of sugar beet. J Exp Bot. 37:729741
Hock, SM, Knezevic, SZ, Martin, AR, Lindquist, JL (2005) Influence of soybean row width and velvetleaf emergence time on velvetleaf (Abutilon theophrasti). Weed Sci. 53:160165
Huarte, HR, Benech Arnold, RL (2003) Understanding mechanisms of reduced annual weed emergence in alfalfa. Weed Sci. 51:876885
Knezevic, SZ, Evans, SP, Blankenship, EE, van Acker, RC, Lindquist, JL (2002) Critical period for weed control: the concept and data analysis. Weed Sci. 50:773786
LeBlanc, ML, Cloutier, DC, Legere, A, Lemieux, C, Assemat, L, Benoit, DL, Hamel, C (2002) Effect of the presence or absence of corn on common lambsquarters (Chenopodium album L.) and barnyardgrass (Echinochloa crus-galli (L.) Beauv.) emergence. Weed Technol. 16:638644
Loague, K, Green, RE (1991) Statistical and graphical methods for evaluating solute transport models: overview and application. J Cont Hydrol. 7:5173
Loddo, D, Sousa, E, Masin, R, Calha, I, Zanin, G, Fernandez-Quintanilla, C, Dorado, J (2013) Estimation and comparison of base temperatures for germination of European populations of velvetleaf (Abutilon theophrasti) and jimsonweed (Datura stramonium). Weed Sci. 61:443451
Manidool, C (1992) Echinochloa crus-galli (L.) P. Beauv. Pages 126127 in t'Mannetje, L and Jones, RM, eds. Plant resources of south-east Asia. No. 4. Forages. Wageningen, The Netherlands Pudoc Scientific Publishers
Masin, R, Cacciatori, G, Zuin, MC, Zanin, G (2010a) AlertInf: emergence predictive model for weed control in maize in Veneto. Ital J Agrometeorol. 1:59
Masin, R, Loddo, D, Benvenuti, S, Otto, S, Zanin, G (2012) Modeling weed emergence in Italian maize field. Weed Sci. 60:254259
Masin, R, Loddo, D, Benvenuti, S, Zuin, MC, Macchia, M, Zanin, G (2010b) Temperature and water potential as parameters for modeling weed emergence in central-northern Italy. Weed Sci. 58:216222
Masin, R, Vasileiadis, VP, Loddo, D, Otto, S, Zanin, G (2011) A single-time survey method to predict the daily weed density for weed control decision-making. Weed Sci. 59:270275
Mohler, CL (1996) Ecological bases for the cultural control of annual weeds. J Prod Agric. 9:468474
Myers, MW, Curran, WS, VanGessel, MJ, Calvin, DD, Mortensen, DA, Majek, BA, Karsten, HD, Roth, GW (2004) Predicting weed emergence for eight annual species in the northeastern United States. Weed Sci. 52:913919
Norsworthy, JK (2004) Soybean canopy formation effects on pitted morningglory (Ipomoea lacunosa), common cocklebur (Xanthium strumarium), and sicklepod (Senna obtusifolia) emergence. Weed Sci. 52:954960
Nyamusamba, RP, Moeching, MJ, Deneke, DL (2008) Simulating weed emergence under different crop canopies. Page 103 in 63rd Proceedings of the North Central Weed Science Society Symposium. Las Cruces, NM North Central Weed Science Society
Otto, S, Masin, R, Casari, G, Zanin, G (2009) Weed–corn competition parameters in late-winter sowing in northern Italy. Weed Sci. 57:194201
Rahman, M, Ungar, IA (1990) The effect of salinity on seed germination and seedling growth of Echinochloa crus-galli . Ohio J Sci. 90:1315
Ramanarayanan, TS, Williams, JR, Dugas, WA, Hauck, LM, McFarland, AMS (1997) Using APEX to Identify Alternative Practices for Animal Waste Management. Part I: Model Description and Validation. St. Joseph, MI American Society of Agricultural Engineers, ASAE Paper No. 972209
Royo-Esnal, A, Torra, J, Antoni Conesa, J, Forcella, F, Recasens, J (2010) Modeling the emergence of three arable bedstraw (Galium) species. Weed Sci. 58:1015
Shipley, B, Parent, M (1991) Germination responses of 64 wetland species in relation to seed size, minimum time to reproduction and seedling relative growth rate. Funct Ecol. 5:111118
Spokas, K, Forcella, F (2009) Software tools for weed seed germination modeling. Weed Sci. 57:216227
Spokas, K, Forcella, F, Archer, D, Peterson, D, Miller, S (2007) Improving weed germination models by incorporating seed microclimate and translocation by tillage. Proceedings Weed Science Society of America. 44:60
Steinmaus, SJ, Prather, TS, Holt, JS (2000) Estimation of base temperatures for nine weed species. J Exp Bot. 51:275286
Sweeney, AE, Renner, KA, Laboski, C, Devis, A (2008) Effect of fertilizer nitrogen on weed emergence and growth. Weed Sci. 56:714721
Vina, A, Gitelson, AA, Nguy-Robertson, AL, Peng, Y (2011) Comparison of different vegetation indices for the remote assessment of green leaf area index of crops. Remote Sens Environ. 115:34683478
Wallach, D (2006) Evaluating crop models. Pages 1154 in Wallach, D, Makowski, D, and Jones, JW, eds. Working with Dynamic Crop Models: Evaluation, Analysis, Parameterization, and Applications. Amsterdam Elsevier
Willmott, CJ (1982) Some comments on the evaluation of model performance. Bull Am Meteorol Soc. 63:13091313
Zhang, H, Irving, LJ, Tian, Y, Zhou, D (2012) Influence of salinity and temperature on seed germination rate and the hydrotime model parameters for the halophyte, Chloris virgata, and the glycophyte, Digitaria sanguinalis . S Afr J Bot. 78:203210
Recommend this journal

Email your librarian or administrator to recommend adding this journal to your organisation's collection.

Weed Science
  • ISSN: 0043-1745
  • EISSN: 1550-2759
  • URL: /core/journals/weed-science
Please enter your name
Please enter a valid email address
Who would you like to send this to? *
×

Keywords

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed