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Efficiency of Atrazine+2,4D or Paraforce in pre-emergent weed control of selected early maturing maize varieties (Zea mays)

Abstract:

Background:

Atrazine, a pre-emergent weed control, can be mixed with paraforce or 2,4-D, however, the efficiency of the mixture nor the growth and yield performance of maize varieties under this treatment in the tropics is well establihsed.

Objective:

To determine efficacy of atrazine mixed with paraforce or 2,4-D as weed control method and yield performance of four yellow maize varieties (PVASYN8F2, BR9928-5R-Y, DSTRSYN2-Y and PVASYN2F2).

Methods:

In two years, four yellow maize varieties (PVASYN8F2, BR9928-5R-Y, DSTRSYN2-Y and PVASYN2F2.) and atrazine (1.5kg ha-1) mixed with paraforce, atrazine mixed with 2,4-D (1.5 L ha-1 in equal ratio; hand weeding and weedy (check) plots were arranged in split-plot using randomized complete block design with three replications. Fertilizers and pest control were done as practiced in the Teaching and Research Farm. Data were collected on maize vegetative and reproductive characters and analyzed using SAS ver 9.4 and Microsoft Excel.

Results:

Weed control efficiency (80%) and number of leaves per plant recorded for atrazine + paraforce plot were the highest. No significant grain yield difference was recorded among the varieties, but maximum grain loss was observed in no weeding field and the lowest was found in field treated atrazine + paraforce followed by Atrazine + 2,4-D. BR-9928-5R-Y among the varieties showed the least 44% grain loss while PVA SYN 2 F2 had the highest 53%.

Conclusions:

Atrazine + paraforce outperformed atrazine + 2,4-D as a pre-emergent weedicide and BR-9928-5R-Y variety produced the highest grain yield and minimum grain loss across all the treatments.

Keywords:
Weedicides; Grain Yield; Hand Weeding; Grain Loss; Maize

1. Introduction

Maize, the most important food and feed crop in the grass family, is widely and densely grown in Nigeria for its high yield potential, particularly during the wet season. However, it is sparsely sown in the dry period, with relatively wide spacing, subjecting it to competition with various weeds, which often inflicts huge losses ranging from 28 to 100 percent of grain (Mehmeti et al., 2019Mehmeti A, Fetahaj R, Demaj A, Nishori F, Rracaj V. Evaluation of pre-and post-emergence herbicides for weed control in maize (Zea mays L.). J Central Eur Agric. 2019;20(1):208-22; Chauhan, 2020Chauhan BS. Grand challenges in weed management. Front Agron. 2020;1:1-4. Available from: https://doi.org/10.3389/fagro.2019.00003
https://doi.org/10.3389/fagro.2019.00003...
). This loss is often graded as weeds > insects > plant diseases > and virus with values of 37% > 18% > 16% > 2% (Barros et al., 2017Barros RE, Faria RM, Tuffi Santos LD, Azevedo AM, Governici JL. Physiological response of maize and weeds in coexistence. Planta Daninha. 2017;35:1-8. Available from: https://doi.org/10.1590/S0100-83582017350100027
https://doi.org/10.1590/S0100-8358201735...
). The interference of weeds with maize plants becomes more severe, particularly in the early stage of maize growth (Mishra, 1997Mishra JS. Critical period of weed competition and losses due to weeds in major field crops. Farm Parliam. 1997;33(6):19-20), whereas by the time the crop establishes, the severity of loss due to weeds becomes less. This indicates the significant role of pre-emergence weed control on the overall performance at subsequent stages of maize growth (Amosun et al., 2021Amosun JO, Aluko OA, Ilem DO. Comparative effect of weed control methods on Mexican sunflower (Tithonia diversifolia) in maize. African J Plant Sci. 2021;15(4):115-22. Available from: https://doi.org/10.5897/AJPS2020.2114
https://doi.org/10.5897/AJPS2020.2114...
; Chojnacka et al., 2023Chojnacka S, Haliniarz MA, Rusecki HU, Łukasz JU, Biszczak WO. Weed infestation and its biodiversity under the influence of different herbicide variants application in maize. Agron Sci. 2023;78(4):1-20. Available from: https://doi.org/10.24326/as.2023.5212
https://doi.org/10.24326/as.2023.5212...
).

Generally, weeds compete with crops indirectly by producing allelopathic matter (Zohaib et al., 2016Zohaib A, Abbas T, Tabassum T. Weeds cause losses in field crops through allelopathy. Not Sci Biol. 2016;8(1):47-56. Available from: https://doi.org/10.15835/nsb819752
https://doi.org/10.15835/nsb819752...
) and directly for light, water, nutrients, space and habitat for destructive insects and pathogens. This competition with the crop usually results in reduced morphological, phenological and other developmental attributes of the crop. Severe effects of weeds on plant height and number of cobs per plot and number of grains per cob were reported (Oerke, Dehne, 2004Oerke EC, Dehne HW. Safeguarding production-losses in major crops and the role of crop protection. Crop Protect. 2004;23(4):275-85. Available from: https://doi.org/10.1016/j.cropro.2003.10.001
https://doi.org/10.1016/j.cropro.2003.10...
; Naderi et al., 2024Naderi R, Ali K, Rehman A, Rasmann S, Weyl P. Estimating the impact on maize production by the weed Parthenium hysterophorus in Pakistan. CABI Agriculture and Bioscience. 2024;5(1):1-6. Available from. https://doi.org/10.1186/s43170-024-00217-2
https://doi.org/10.1186/s43170-024-00217...
). Compared with a weed-free field, maize on weed infested land develops short plants, long days to 50% silking (Anorvey et al., 2018Anorvey VY, Asiedu EK, Dapaah HK. Growth and yield of maize as influenced by using Lumax 537.5 SE for weed control in the transitional agro-ecological zone of Ghana. Int J Plant Soil Sci. 2018;21(2):1-11. Available from: https://doi.org/10.9734/IJPSS/2018/38795
https://doi.org/10.9734/IJPSS/2018/38795...
), long ASI and a reduced yield of 0.13 tha-1 (Reid et al., 2014Reid A, Gonzalez V, Sikkema PH, Lee EA, Lukens L, Swanton CJ. Delaying weed control lengthens the anthesis-silking interval in maize. Weed Sci. 2014;62(2):326-37. Available from: https://doi.org/10.1614/WS-D-13-00099.1
https://doi.org/10.1614/WS-D-13-00099.1...
). However, in their report, Dangari et al. (2024)Dangari L, Jarafu A, Titus I. Effect of weeding regime on growth and yield of sweet maize (Zea mays L. sub spp. Saccharata) in Ganye, Adamawa State, Nigeria. Int J Agric Res Biotech. 2024;3(1):1-6 observed short days to flowering in sweet corn.

Weeds can be controlled by cultural, biological and chemical measures. Hand weeding, a common cultural control in subsistence farming, is achieved by pulling weeds by hand, cutting with a hoe and using other crude tools like cutlass. The method, though, remains the most effective and safest, it is the most tedious, highly demanding for manpower and farm labour hours (Chikoye et al., 2004Chikoye D, Schulz S, Ekeleme F. Evaluation of integrated weed management practices for maize in the northern Guinea savanna of Nigeria. Crop Protect. 2004;23(10):895-900. Available from: https://doi.org/10.1016/j.cropro.2004.01.013
https://doi.org/10.1016/j.cropro.2004.01...
). The scarcity of labour nowadays has rendered the manual/hoe weeding economically unviable for maize grain sustainability (Oerke, Dehen, 2004Oerke EC, Dehne HW. Safeguarding production-losses in major crops and the role of crop protection. Crop Protect. 2004;23(4):275-85. Available from: https://doi.org/10.1016/j.cropro.2003.10.001
https://doi.org/10.1016/j.cropro.2003.10...
), especially if "zero hunger", an important aspect of the Sustainable Development Goals (SDGs) of the United Nations, is to be achieved. Other cultural methods include, but are not limited to, crop rotation, inter-row cultivation, sowing cover crop and intercropping with compatible crops to suppress weeds (Melander et al., 2005Melander B, Rasmussen IA, Bàrberi P. Integrating physical and cultural methods of weed control-examples from European research. Weed Sci. 2005;53(3):369-81. Available from: https://doi.org/10.1614/WS-04-136R
https://doi.org/10.1614/WS-04-136R...
; Hughes, 2006Hughes M. Maize-weeds and herbicides. Brisbane: Department of Primary Industries & Fisheries; 2006[access Aug 29, 2024]. Available from: http://www.dpi.qld.gov.au/cps/rde/dpi/hs.xsl/26_3678_ENA_HTML.htm
http://www.dpi.qld.gov.au/cps/rde/dpi/hs...
; O’Gara, 2007O’Gara F. Irrigated maize production in the top end of the northern teritory: production guidelines and research results. Darwin: Department of Primary Industry, Fisheries and Mines; 2007[access Aug 29, 2024]. Available from: http://www.nt.gov.au/dpifm/Content/File/p/Tech_Bull/TB326.pdf
http://www.nt.gov.au/dpifm/Content/File/...
).

A few herbicide options available for weed control in maize are atrazine and paraforce, which are commonly used solely before at sowing. Compared with a weedy plot, a higher grain yield was realized from a plot treated with herbicide by 77% to 96.7% grain yield (Khan et al., 1998Khan SA, Hussain N, Khan IA, Khan M, Iqbal M. Study on weed control in maize. Sarhad J Agric. 1998;14(6):581-6). Atrazine, a 4-hydroxyphenylpyruvate dioxygenase (HPPD), is widely used in maize production (Chhokar et al., 2019Chhokar RS, Sharma RK, Gill SC, Singh RK. Mesotrione and atrazine combination to control diverse weed flora in maize. Indian J Weed Sci. 2019;51(2):145-50. Available from: https://doi.org/10.5958/0974-8164.2019.00032.7
https://doi.org/10.5958/0974-8164.2019.0...
) and has proven its effectiveness, particularly in delaying the start of the weed stress on maize (Padilha et al., 2016Padilha M, Barroso AA, Carvalho LB, Costa FR, Bianco S. Atrazine reduces the critical period of weed interference on narrow row corn. Planta Daninha. 2016;34(4):721-8. Available from https://doi.org/10.1590/S0100-83582016340400012
https://doi.org/10.1590/S0100-8358201634...
; National Center for Biotechnology Information, 2021National Center for Biotechnology Information - NCBI. Atrazine. PubChem. 2021[access Oct 07, 2021]. Available from: https://pubchem.ncbi.nlm.nih.gov/compound/Atrazine
https://pubchem.ncbi.nlm.nih.gov/compoun...
). Paraforce (Paraquat dichloride (200 g paraquat)/L SL.) is also widely applied in maize farms; though, there is a growing concern about its lethality, particularly if ingested. Mojeed (2023) reported for Premium Times a wide call to ban this herbicide. 2,4-Dichlorophenoxyacetic acid (2,4-D) is the active ingredient of 2,4-D and has for many years been used to control several weeds in cereal crops.

Herbicidal control of weeds is not only economical, effective and productive in modern agriculture. It also gives rapid and unmatched results in a very short time after application. Imoloame (2017) reported that weed infestation was reduced and high grain yield and economic returns were obtained in herbicide mixtures. Herbicide mixtures were thus recommended for farmers in the Southern Guinea ecology of Nigeria. Iqbal et al. (2020)Iqbal S, Tahir S, Dass A, Bhat MA, Rashid Z. Bio-efficacy of pre-emergent herbicides for weed control in maize: a review on weed dynamics evaluation. J Exp Agric Int. 2020;42(8):13-23. Available from: https://doi.org/10.9734/JEAI/2020/v42i830565
https://doi.org/10.9734/JEAI/2020/v42i83...
concluded that atrazine at 1.2 kg active ingredient (i.a.) per ha and pendimmethline at 1.0 a.i. kg ha-1 were important in reducing weed emergence in the early growth stages of maize.

However, problems associated with its injudicious application included, environmental pollution, and the development of weed resistance against weedicides among others. Good practices in herbicidal application involve the use of the least, but effective quantity of herbicide in the control of weeds. Nevertheless, with the intensive use of weedicides, a minimum of 10 percent loss of agricultural produce is often recorded annually in most agricultural systems (Zimdahl, 2004Zimdahl RL. Weed-crop competition: a review. 2nd ed. Ames: Blackwell; 2004). This negative phenomenon calls for the inclusion of various strategies for controlling weeds in maize production (Anorvey et al., 2018Anorvey VY, Asiedu EK, Dapaah HK. Growth and yield of maize as influenced by using Lumax 537.5 SE for weed control in the transitional agro-ecological zone of Ghana. Int J Plant Soil Sci. 2018;21(2):1-11. Available from: https://doi.org/10.9734/IJPSS/2018/38795
https://doi.org/10.9734/IJPSS/2018/38795...
). The mixing of chemicals is widely practiced as a means to totally control weeds in one application. The nature of the active ingredient in each weedicide should therefore be considered. Atrazine can be mixed with paraforce or 2,4-D to control both broad- and narrow-leaf weeds. For instance, Hussain et al. (2020)Hussain A, Khakwani AA, Tanveer A, Khan EA, Baloch MS. Optimizing efficacy of acetochlor+ atrazine and dicamba at various doses to manage Conyza stricta L. in sugarcane. Planta Daninha. 2020;38:1-8. Available from: https://doi.org/10.1590/S0100-83582020380100080
https://doi.org/10.1590/S0100-8358202038...
reported that a mixture of acetoclor and atrazine had a greater positive impact as a pre-emergence herbicide in controlling weeds in sugarcane crops. The missing information is the efficacy of the mixture in controlling weeds and its control ability above weedy fields or hand weeding practices. This study aimed to reveal the efficacy of atrazine mixtures over manual weeding and check (non-weeded) maize weed control. It also aimed at identifying the maize variety that respond to the most efficient management method.

2. Material and Methods

2.1 Site description

A field experiment was conducted at the Obafemi Awolowo University (OAU), Teaching and Research Farm in the 2019 and 2020 growing seasons. Average weather parameters (rainfall, maximum and minimum temperatures) for the period of the two years is given in Table 1.

Table 1
Weather parameters (rainfall, maximum and minimum temperatures) for the 2019 and 2020 maize growing seasons

Site soil samples collected at 0–20 cm contained: pH (H20) = 6.40, total nitrogen (%) = 0.12, organic carbon (%) = 0.94; available P (ppm) Bray I = 5.52, Cation exchange capacity (cmol/kg) = 15.24, Exchangeable cations (cmol/kg): K = 1.41, Mg = 2.51, Ca = 0.21, Sand (%) = 80.02, Silt (%) = 9.86 and Clay (%) = 10.12 and the soil was classified as sandy loam.

2.2 Land preparation and experimental design

A total area of 43.25 m × 17.5 m (756.85 m2) was ploughed twice and divided into three blocks of 12.5 m x 9 m each, separated horizontally and vertically by 1m to serve as a border among the plots. Each block was further divided into four distinct plots and randomly assigned as the main plot to weed treatments: control (no weeding), 50% Atrazine + 50% Paraforce; 50% Atrazine + 50% 2,4-D (applied at the second day after sowing) at 1.5 kg ha-1 Atrazine and one (1) litre ha-1 of 2,4-D or Paraforce as recommended by the manufacturer; and hand weeding (weed removal four times in the season). The physicochemical properties of these herbicides are given in Table 2. A plot was 6 m2, and was further divided into eight rows randomly allocated at two rows per maize variety: PVA SYN 8F2; PVA SYN 2F2 (sourced from the International Institute of Tropical Agriculture, Ibadan, Nigeria); BR 9928-5R-Y and DTSTR SYN 2-Y (procured from the Institute of Agriculture Research and Training, Ibadan, Nigeria). The arrangement of treatment and maize varieties using RCBD in a split plot arrangement is presented in Figure 1.

Table 2
Physicochemical properties of herbicides applied in this study
Figure 1
Description of the field layout of the experimental site

The maize seeds were sown at a rate of 25 kg ha-1 at a depth of 2–3 cm using a sowing distance of 0.5 m x 0.75 m between and within rows, respectively. Two weeks after sowing, seedlings were thinned to one plant stand; fertilized with N.P.K.20:10:10 at a rate of 80 kg N, 60 kg P and 60 kg k ha-1 in three doses. Armyworm and other species were controlled by caterpillar force (Emamectin Benzoate, 5% WDG) at a rate of 3.5 litre ha-1. Harvesting begins 56 days after sowing. The experiment was a randomized complete block design in a split plot arrangement.

2.3 Data collection

Four plants were randomly chosen from the two rows representing each variety in a block and tagged for data recording. The data recorded were: days to 50% germination, days to 50% anthesis, days to 50% silking, number of leaves per plant and number of cobs per plant. Number of leaves per plant was counted weekly from the fourth week until the ninth week, when the plant produced obvious tassel. The cobs on the tagged plants were harvested, shelled and weighed separately for yield parameters, which included number of cob grains row-1, and number of rows cob-1. Both grain yield and 100-seed weight were measured with a sensitive balance, while grain moisture was determined by hygrometer and the results of grain yield and 100-seed weight were adjusted to 14% moisture content.

To estimate weed control efficiency, samples of weed were obtained using a 0.25 m × 0.25 m quadrant thrown randomly at three places in each block and the weeds within were harvested the day before weeding. The harvested weeds were dried in an oven at 65°C for 24 hours and converted into grams. Weed Control Efficiency (WCE) was calculated from weed control treatments as follows:

Weed control efficiency = W D c W D t W D c × 100 ( Š ari ć , 1991 )

WDC: Weed Dry Matter in Weedy Check;

WDT: Weed Dry Matter in a Treatment.

Relative yield loss due to weeds was calculated based on the maximum yield obtained from a treatment or treatment combination as follows:

R e l a t i v e y i e l d l o s s = M y Y t M y × 100

MY= maximum yield from a treatment,

YT = yield from a particular treatment.

H e r b i c i d e E f f i c a c y = W f W c W f W t W f W c × 100 Yadav et al . ( 2015 )

WfWC= Dry weight of weeds in control plot and WfWT = Dry weight of weeds in a particular treatment.

A simple linear regression analysis was run to determine the relationship between number of leaves per plant and days from sowing in response to each weed control method. The formula used was:

y = a + b ×

Where:

Y = number of leaves per plant measured weekly starting from week 4

X = weed control method (atrazine+ 2,4-D, atrazine + paraforce, manual weeding and no weeding)

2.4 Data analysis

Data were subjected to a two-way analysis of variance using the PROC NLMIXED function variance of statistical analysis software (SAS version 14). Significant means were separated using the 5% level of significance of the Duncan Multiple Range Test. Orthogonal analysis was employed to determine significant differences between groups of treatments. Microsoft Excel was used to draw a graph showing the relationship between the number of leaves per plant and days from sowing as affected by weed control methods.

3. Results and Discussion

Overall cross check on the harvested weeds revealed that the most common were: corn grass (Rottboellia cochinchinensis), billy goat weed (Ageratum conyzoides L.,), Benghal daflower (Commelina benghalensis L.,), morning glory (Ipomoea involucrata P. Beauv.), and copper leaf (Acalypha ciliata Forssk). The varieties showed significant variation for days to 50% germination and number of rows per cob (Table 3) and insignificant variance for other characters. Seeds of PVA SYN 2F2 emerged at 5.55 days to become the fastest among other varieties. Number of grain row cob-1 was the highest in DTSTR SYN 2-Y (14.86), while the least was found in PVA SYN 2F2 with 12.42 rows. Variation in the performance of maize varieties due to successful weed control and efficiency is well recognized. The variation in days to 50% germination suggested that the maize seed sown in soil treated with a mixture of pre-emergent herbicides two days after sown has variability in tolerating the residual effects of herbicides applied, as shown by PVA SYH 2F2. A uniform and vigorous seedling is expected from early emergence as it will ensure a good plant population and yield (Shirin et al., 2008Shirin M, Enayatgholizadeh MR, Siadat E, Fathi G. [Comparison of suitable seed vigour of hybrid Zea Maize (CV. SC. 704) in the field condition of Ahvaz]. Proceedings of the 10th Iranian Congress of Agricultural Sciences and Plant Breeding; Karaj, Iran. 2008. Persian; Abbasian et al., 2013Abbasian A, Moemeni J, Rahmani M, Oskoii B, Hamidi A, Sedghi M. Comparison of different hybrid maize seed size with smaller under sieve size in standard germination, cold, accelerated ageing and electrical conductivity tests. Tech J Eng Appl Sci. 2013;3(5):385-3). High germination usually indicates viability, a property of seeds that supports seed growth under optimal conditions (Baldwin et al., 2006Baldwin IT, Halitschke R, Paschold A, Von Dahl CC, Preston CA. Volatile signaling in plant-plant interactions: "talking trees" in the genomics era. Science. 2006;311(5762):812-5. Available from: https://doi.org/10.1126/science.1118446
https://doi.org/10.1126/science.1118446...
). A similar observation was also noticed by Sakadzo et al. (2018), who grouped inbred lines into three in terms of their tolerance to weedicide effects.

Table 3
Varietal variation for growth habit of maize (Zea mays L.) in four weed control methods

The variance analysis regarding parameters like number of seed row-1, 100-seed weight (g) and grain yield per plant showed a non-significant difference (P < 0.05). However, a numerical difference was reflected among the tested varieties. The highest number of seed row-1, 100-seed weight (g) and grain yield plant-1 was displayed by BR 9928-5R-Y with 24.96±1.42, 13.27±0.74 and 75.97±3.85, respectively, and the lowest was obtained from weedy check plots. This variation reflected the variability in the varieties’ inherent ability to tolerate severe competition for resources between the crop plant and weeds. In the weed control treatments, however, there were sufficient resources for the growing maize plants. Zystro et al. (2012)Zystro JP, De Leon N, Tracy WF. Analysis of traits related to weed competitiveness in sweet corn (Zea mays L.). Sustainability. 2012;4(4):543-60. Available from: https://doi.org/10.3390/su4040543
https://doi.org/10.3390/su4040543...
; Shelton et al. (2013)Shelton AC, Tracy WF. Genetic variation and phenotypic response of 15 sweet corn (Zea mays L.) hybrids to population density. Sustainability. 2013;5(6):2442-56. Available from: https://doi.org/10.3390/su5062442
https://doi.org/10.3390/su5062442...
; Job et al. (2023)Job VK, Fakorede MAB, Oluwaranti A, Badu-Apraku B, Menkir A. Screening maize (Zea mays L.) germplasm for non-parasitic weed tolerance in a tropical rainforest agroecology. Med Agric Env Sci. 2023;4(3):8-18 revealed the existence of genetic and phenotypic variation among maize varieties for weed competitiveness.

Crops in hand weeding had the longest days to 50% anthesis and silking with 59.33 and 61.33 days respectively. The shortest days were obtained in no weeding with 57.77±0.28 and 59.70±0.28 days, respectively (Table 4.). This observation, which was contrary to the report of Anorvey et al. (2018)Anorvey VY, Asiedu EK, Dapaah HK. Growth and yield of maize as influenced by using Lumax 537.5 SE for weed control in the transitional agro-ecological zone of Ghana. Int J Plant Soil Sci. 2018;21(2):1-11. Available from: https://doi.org/10.9734/IJPSS/2018/38795
https://doi.org/10.9734/IJPSS/2018/38795...
, was in line with the report of Dangari et al. (2024)Dangari L, Jarafu A, Titus I. Effect of weeding regime on growth and yield of sweet maize (Zea mays L. sub spp. Saccharata) in Ganye, Adamawa State, Nigeria. Int J Agric Res Biotech. 2024;3(1):1-6, which showed that weed competition accelerated flowering processes in sweet corn, and suggested that maize plants enjoyed more nutrients in the soil. This might have allowed optimum growth before transitioning to the reproductive stage, while plants without weeding were under relative stress effect of weeds and displayed a rapid transition to flowering.

Table 4
Effects of weed control methods on the growth performance of four maize varieties

Hand weeding also supported the highest number of seed row-1 (27.50±0.1.09) but moderate seed weight (11.96±0.64 g). The heaviest grain,14.13±0.86 g, was found in field treated with atrazine + paraforce. The relatively late appearance of floral parts in maize under hand weeding reflected that the plants were not under weed stress and were robustly utilizing available nutrients compared to weedy plots. When weeds in field-grown maize are controlled, the source will have a better chance to translocate available sink to the maximum grains formed and also maintain their weight.

The relative yield loss to the weed caused by the control methods is given in Figure 2. Maximum grain loss was observed in no weeding field and the lowest was found in field treated atrazine + paraforce. This is expected as a field overgrown by weeds usually leads to reduced grain of crops as a result of competition for water, sunlight and weed allopathy.

Figure 2
Relative yield loss resulting from the use of atrazine mixture and no weeding management methods in maize

Relative grain yield loss as a result of maize tolerance to weed is displayed in Figure 3. According to the result, under no weeding and atrazine with paraforce or 2,4-D, BR-9928-5R-Y responded positively to the management methods employed by showing <45% yield loss, while, PVA SYN 2 F2 was the most sensitive by having >50% grain yield loss. These differences offer an opportunity to improve weed resistance among these varieties. The fact that under, BR-9928-5R-Y had the least grain loss in weedy check plot suggests its better yielding performance compared with other varieties and the possibility of its selection in future maize improvement for weedy environments.

Efficiency of atrazine mixed with paraforce and atrazine with 2,4-D was compared in Figure 4. The results showed that efficiency of atrazine + paraforce was 80% and above while that of atrazine + 2,4-D was less than 40%. This is in consonance with the reports of Hussain et al. (2020)Hussain A, Khakwani AA, Tanveer A, Khan EA, Baloch MS. Optimizing efficacy of acetochlor+ atrazine and dicamba at various doses to manage Conyza stricta L. in sugarcane. Planta Daninha. 2020;38:1-8. Available from: https://doi.org/10.1590/S0100-83582020380100080
https://doi.org/10.1590/S0100-8358202038...
and Iqbal et al. (2020)Iqbal S, Tahir S, Dass A, Bhat MA, Rashid Z. Bio-efficacy of pre-emergent herbicides for weed control in maize: a review on weed dynamics evaluation. J Exp Agric Int. 2020;42(8):13-23. Available from: https://doi.org/10.9734/JEAI/2020/v42i830565
https://doi.org/10.9734/JEAI/2020/v42i83...
on sugarcane and sorghum respectively. The better performance of atrazine mixed with paraforce can be related to its functionality being broad spectrum herbicde, while, 2,4-D is selective (Oregon State University, 2024Oregon State University - OSU. Distinguish between selective and non-selective herbicides and give an example of each. Corvallis: Oregon State University; 2024[access Aug 07, 2023]. Available from: https://forages.oregonstate.edu/nfgc/eo/onlineforagecurriculum/instructormaterials/availabletopics/weeds/herbicides
https://forages.oregonstate.edu/nfgc/eo/...
).

Figure 4
Weed control efficiency of the herbicides employed in the maize

The relationship between number of leaves per plant and days after sowing as affected by weed control methods is given in Figure 5. There was a positive correlation between number of leaves per plant and days to sowing. The regression model revealed that with each unit increase in days after sowing, there was an increase ranging from 1.698 (atrazine + paraforce) to 1.466 (no weeding) in number of leaves. Also, the observed R2 in atrazine + paraforce, atrazine + 2,4-D, manual weeding and no weeding were 0.862, 0.832, 0.829 and 0.782, respectively. The value of 0.862 R2 indicated that the increase in leaf number in atrazine + paraforce treated plots was 86.20% caused by the weed suppression-effect of the herbicide, while 13.80% was due to other positively contributing factors not considered in this study. The low value of the intercept of atrazine + 2,4-D did not support its high R2 value, thus it cannot be chosen as being as effective as atrazine + paraforce. Generally, application of pre-emergent weedicide or continual weeding tends to suppress weed attacks providing avenues for plant to develop higher number of leaves per plant. The observed role of atrazine + paraforce as pre-emergent herbicide was previously reported (Amosun et al., 2021Amosun JO, Aluko OA, Ilem DO. Comparative effect of weed control methods on Mexican sunflower (Tithonia diversifolia) in maize. African J Plant Sci. 2021;15(4):115-22. Available from: https://doi.org/10.5897/AJPS2020.2114
https://doi.org/10.5897/AJPS2020.2114...
; Chojnacka et al., 2023Chojnacka S, Haliniarz MA, Rusecki HU, Łukasz JU, Biszczak WO. Weed infestation and its biodiversity under the influence of different herbicide variants application in maize. Agron Sci. 2023;78(4):1-20. Available from: https://doi.org/10.24326/as.2023.5212
https://doi.org/10.24326/as.2023.5212...
).

Figure 5
Linear relationship between number of leaves per plant and days after sowing as affected by method of weed control

During crop establishment, which is very sensitive to weed attack, maize plants under hand weeding as owing to less weed competition, can develop a high number of leaves per plant to capture available sunlight and maximize growth rates.

4. Conclusion

Mixture of atrazine with paraforce as pre-emergent weed control of maize is highly efficient than atrazine with 2.4-D. Also, maize variety BR 9928-5R-Y had less grain loss in respect to the overall effect of weeds on the maize varieties considered in this study.

  • Funding This is study received no external funding.

Acknowledgements

Authors recognized with appreciation the Teaching and Research Farms at the Obafemi Awolowo University (OAU), Ile Ife and Osun State University (UNIOSUN), Ejigbo campus for providing enabling environment to conduct the study.

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Edited by

Editor in Chief:

Anderson Luis Nunes

Associate Editor:

José Barbosa dos Santos

Publication Dates

  • Publication in this collection
    11 Sept 2024
  • Date of issue
    2024

History

  • Received
    18 Mar 2024
  • Accepted
    13 Aug 2024
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