Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-23T13:33:41.017Z Has data issue: false hasContentIssue false
  • English
  • Français

Yields and weed management of sweet corn as influenced by seedbed preparation methods and wheat residues rates

Published online by Cambridge University Press:  20 July 2022

Nasrin Niknam ,
Hooshang Farajee Open the ORCID record for Hooshang Farajee [Opens in a new window] ,
Mohsen Movahhedi Dehnavi  and
Alireza Yadavi
Nasrin Niknam
Affiliation:
Department of Agronomy and Plant Breeding, Faculty of Agriculture, Yasouj University, Yasuj, Iran 7591874934
Hooshang Farajee*
Affiliation:
Department of Agronomy and Plant Breeding, Faculty of Agriculture, Yasouj University, Yasuj, Iran 7591874934
Mohsen Movahhedi Dehnavi
Affiliation:
Department of Agronomy and Plant Breeding, Faculty of Agriculture, Yasouj University, Yasuj, Iran 7591874934
Alireza Yadavi
Affiliation:
Department of Agronomy and Plant Breeding, Faculty of Agriculture, Yasouj University, Yasuj, Iran 7591874934
*
Author for correspondence: Hooshang Farajee, E-mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

One of the challenges to improve sweet corn [Zea mays var. Saccharata (Sturtev.) L. H. Bailey] production is finding a way to increase crop establishment and decrease weed infestation. Crop establishment and weed control are of prime importance in sweet corn production. Three methods of seedbed preparation including pre-planting irrigation before ridge-furrow preparation, pre-planting irrigation after ridge-furrow preparation and irrigation after planting, and four wheat (Triticum aestivum L.) residue rates (0, 250, 500 and 750 g/m2) were arranged in a split plot based on a randomized complete blocks design. Higher seedling emergence and weed control were significantly obtained in pre-planting irrigation than irrigation after planting treatments. Wheat residue mulching reduced soil moisture depletion, proline and soluble carbohydrates contents with decreasing weed biomass. The efficiency of weed management was found to be ensured using pre-planting irrigation coupled with wheat residues application. The grain yield was the highest (1433 g/m2) using pre-planting irrigation and wheat residue mulching (750 g/m2). Weed biomass decreased by 58% in pre-planting irrigation after ridge-furrow preparation and wheat residue mulching (750 g/m2) compared to irrigation after planting and no-mulching treatment. Therefore, pre-planting irrigation after ridge-furrow preparation and wheat residues application (500–750 g/m2) were optimal management practices for crop establishment and weed control to improve yields and water productivity of sweet corn in the region.

Keywords

Carbohydrateemergencefresh earprolinewater productivity
Type
Crops and Soils Research Paper
Information
The Journal of Agricultural Science , Volume 160 , Issue 5 , October 2022 , pp. 302 - 309
Check for updates
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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

Abouziena, HF, El-Saeid, HM and Amin, A (2014) Water loss by weeds: a review. International Journal Chemtech Research 7, 323–336.Google Scholar
Ahmed, S, Opeña, JL and Chauhan, BS (2015) Seed germination ecology of doveweed (Murdannia nudiflora) and its implication for management in dry-seeded rice. Weed Science 63, 491–501.CrossRefGoogle Scholar
Armengot, L, José-María, L, Chamorro, L and Sans, FX (2013) Weed harrowing in organically grown cereal crops avoids yield losses without reducing weed diversity. Agronomy for Sustainable Development 33, 405–411.10.1007/s13593-012-0107-8CrossRefGoogle Scholar
Bajpai, A and Kaushal, A (2020) Soil moisture distribution under trickle irrigation: a review. Water Supply 20, 761–772.10.2166/ws.2020.005CrossRefGoogle Scholar
Bates, LS, Waldren, RP and Teare, I (1973) Rapid determination of free proline for water-stress studies. Plant and Soil 39, 205–207.10.1007/BF00018060CrossRefGoogle Scholar
Cai, T, Zhang, C, Huang, Y, Huang, H, Yang, B, Zhao, Z, Zhang, J and Jia, Z (2015) Effects of different straw mulch modes on soil water storage and water use efficiency of spring maize (Zea mays L.) in the Loess Plateau of China. Plant, Soil and Environment 61, 253–259.10.17221/76/2015-PSECrossRefGoogle Scholar
Dalley, CD, Bernards, ML and Kells, JJ (2006) Effect of weed removal timing and row spacing on soil moisture in corn (Zea mays L.) 1. Weed Technology 20, 399–409.10.1614/WT-05-098R.1CrossRefGoogle Scholar
Finch-Savage, WE and Bassel, GW (2016) Seed vigour and crop establishment: extending performance beyond adaptation. Journal of Experimental Botany 67, 567–591.CrossRefGoogle ScholarPubMed
Ghanbari, A, Hasani, MA, Dori, H and Taheri, MM (2020) Study of dry and wet planting effects on grain yield of genotypes spotted bean (Phaseolus vulgaris) genotypes. Iranian Journal of Crop Sciences 4, 59–66, (In Farsi with English abstract).Google Scholar
Hamza, M and Anderson, W (2003) Responses of soil properties and grain yields to deep ripping and gypsum application in a compacted loamy sand soil contrasted with a sandy clay loam soil in Western Australia. Australian Journal of Agricultural Research 54, 273–282.10.1071/AR02102CrossRefGoogle Scholar
Hemmati, E, Vazan, S and Oveisi, M (2011) Effect of pre-planting irrigation, maize planting pattern and nitrogen on weed seed bank population. Communications in Agricultural and Applied Biological Sciences 76, 551–554.Google ScholarPubMed
Irigoyen, J, Einerich, D and Sánchez-Díaz, M (1992) Water stress induced changes in concentrations of proline and total soluble sugars in nodulated alfalfa (Medicago sativa L.) plants. Physiologia Plantarum 84, 55–60.10.1111/j.1399-3054.1992.tb08764.xCrossRefGoogle Scholar
Kisekka, I, Aguilar, JP, Rogers, DH, Holman, J, O'Brien, DM and Klocke, N (2017) Assessing deficit irrigation strategies for corn using simulation. Transactions of the ASABE 59, 303–317.Google Scholar
Krasensky, J and Jonak, C (2012) Drought, salt, and temperature stress-induced metabolic rearrangements and regulatory networks. Journal of Experimental Botany 63, 1593–1608.10.1093/jxb/err460CrossRefGoogle ScholarPubMed
Kumar, SD and Lal, BR (2012) Effect of mulching on crop production under rainfed condition: a review. International Journal of Research in Chemistry and Environment, (IJRCE) 2, 8–20.Google Scholar
Li, X, Yang, Y, Zhang, M and Wang, X (2010) Effect of PEG priming on plasma membrane H± ATPase activities and mitochondrium function in soybean seeds. Seed Science and Technology 38, 49–60.10.15258/sst.2010.38.1.05CrossRefGoogle Scholar
Lipiec, J, Doussan, C, Nosalewicz, A and Kondracka, K (2013) Effect of drought and heat stresses on plant growth and yield: a review. International Agrophysics 27, 463–477.CrossRefGoogle Scholar
Loura, D, Florentine, S and Chauhan, BS (2020) Germination ecology of hairy fleabane (Conyza bonariensis) and its implications for weed management. Weed Science 68, 411–417.10.1017/wsc.2020.28CrossRefGoogle Scholar
Nawaz, MF, Bourrie, G and Trolard, F (2013) Soil compaction impact and modelling. A review. Agronomy for Sustainable Development 33, 291–309.10.1007/s13593-011-0071-8CrossRefGoogle Scholar
Ngwira, A, Aune, JB and Thierfelder, C (2014) On-farm evaluation of the effects of the principles and components of conservation agriculture on maize yield and weed biomass in Malawi. Experimental Agriculture 50, 591–610.10.1017/S001447971400009XCrossRefGoogle Scholar
Olabode, O and Sangodele, A (2015) Effect of weed control methods on performance of sweet corn (Zea mays L. saccharata) in Ogbomoso south west Nigeria. Journal of Global Biosciences 4, 1145–1150.Google Scholar
Pittman, KB, Barney, JN and Flessner, ML (2020) Cover crop residue components and their effect on summer annual weed suppression in corn and soybean. Weed Science 68, 301–310.CrossRefGoogle Scholar
Ram, C, Kumari, P, Singh, O and Sardana, R (1989) Relationship between seed vigour tests and field emergence in chickpea. Seed Science and Technology 17, 169–173.Google Scholar
Ranaivoson, L, Naudin, K, Ripoche, A, Rabeharisoa, L and Corbeels, M (2018) Is mulching an efficient way to control weeds? Effects of type and amount of crop residue in rainfed rice based cropping systems in Madagascar. Field Crops Research 217, 20–31.10.1016/j.fcr.2017.11.027CrossRefGoogle Scholar
Rannu, RP, Ahmed, R, Siddiky, A, Ali, ASM, Ibn Murad, KF and Sarkar, PK (2018) Effect of irrigation and mulch on the yield and water use of residueberry. International Journal of Agronomy 2018, 1–10.10.1155/2018/2903706CrossRefGoogle Scholar
Reis, LSD, Pereira, MG, Silva, RFD and Meireles, RC (2011) Efeito da heterose na qualidade de sementes de milho doce. Revista Brasileira de Sementes 33, 310–315.10.1590/S0101-31222011000200013CrossRefGoogle Scholar
Scavo, A and Mauromicale, G (2020) Integrated weed management in herbaceous field crops. Agronomy 10, 1–26.CrossRefGoogle Scholar
Shen, J, Zhao, D, Han, H, Zhou, X and Li, Q (2012) Effects of straw mulching on water consumption characteristics and yield of different types of summer maize plants. Plant, Soil and Environ 58, 161–166.10.17221/404/2011-PSECrossRefGoogle Scholar
Sinay, H and Karuwal, RL (2014) Proline and total soluble sugar content at the vegetative phase of six corn cultivars from Kisar Island Maluku, grown under drought stress conditions. International Journal of Advance Agricultural Research 2, 77–82.Google Scholar
Soltani, A, Robertson, MJ, Torabi, B, Yousefi-Daz, M and Sarparast, R (2006) Modelling seedling emergence in chickpea as influenced by temperature and sowing depth. Agricultural and Forest Meteorology 138, 156–167.10.1016/j.agrformet.2006.04.004CrossRefGoogle Scholar
Stelli, S, Hoy, L, Hendrick, R and Taylor, M (2018) Effects of different mulch types on soil moisture content in potted shrubs. Water SA 44, 495–503.CrossRefGoogle Scholar
Uwah, D and Iwo, G (2011) Effectiveness of organic mulch on the productivity of maize (Zea mays L.) and weed growth. Journal of Animal and Plant Sciences 21, 525–530.Google Scholar
Wang, X, Wu, H, Dai, K, Zhang, D, Feng, Z, Zhao, Q, Wu, X, Jin, K, Cai, D and Oenema, O (2012) Tillage and crop residue effects on rainfed wheat and maize production in northern China. Field Crops Research 132, 106–116.10.1016/j.fcr.2011.09.012CrossRefGoogle Scholar
Wayayok, A, Soom, MAM, Abdan, K and Mohammed, U (2014) Impact of mulch on weed infestation in system of rice intensification (SRI) farming. Agriculture and Agricultural Science Procedia 2, 353–360.10.1016/j.aaspro.2014.11.049CrossRefGoogle Scholar
Weisskopf, P, Reiser, R, Rek, J and Oberholzer, HR (2010) Effect of different compaction impacts and varying subsequent management practices on soil structure, air regime and microbiological parameters. Soil and Tillage Research 111, 65–74.CrossRefGoogle Scholar
Williams, MK, Heiniger, RW, Everman, WJ and Jordan, DL (2014) Weed control and corn (Zea mays) response to planting pattern and herbicide program with high seeding rates in North Carolina. Advances in Agriculture 21, 2014.Google Scholar
Zhou, X, Chen, Y and Ouyang, Z (2011) Effects of row spacing on soil water and water consumption of winter wheat under irrigated and rainfed conditions. Plant, Soil and Environment 57, 115–121.10.17221/130/2010-PSECrossRefGoogle Scholar
Zimdahl, RL (2018) Fundamentals of Weed Science. Colorado State University: Academic Press.Google Scholar