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Research article · 2024 · Full text

International Journal of Research in Agronomy

Efficacy of integrated weed management practices on growth and yield of sweet corn

D SenthilkumarS. Kalaisudarson

Volume 7(2) · Pages 229–232 · DOI: 10.33545/2618060x.2024.v7.i2d.308 ↗

Research areasAgriculture and Biological Studies

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Abstract

Author-written

Field experiment was carried out at Vangudi village of udaiyarpalayam taluk, Ariyalur district, Tamil Nadu during July to October, 2022. The treatments included of best combinations consisting of chemical and cultural method of weed control. The experiment was laid out in randomized block design with ten treatments and replicated thrice. Among the different treatments, pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram) (T8) which helps in reducing weed density and ultimately reduced weed biomass which resulted in increase in crop growth and yield. Higher plant height, DMP and higher green cob yield were recorded under T8-IWM practice might be due to maintenance of weed free environment, particularly throughout vital growth stages of crop, cut back crop weed competition helped in higher growth and development of sweet corn crop leading to higher green cob yield.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Weeds negatively impact sweet corn by competing for sunlight, water, and nutrients, which can result in stunted growth and lower yields. View evidence ↗

      Why it matters

      Weeds negatively impact sweet corn by competing for sunlight, water, and nutrients, which can result in stunted growth and lower yields.

      In the paper's own words

      “Weeds compete with sweet corn plants for essential resources such as sunlight, water, and nutrients. This competition can lead to stunted growth of sweet corn, reduced ear size, and overall lower yields.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Prior research indicates that weed presence in maize can reduce yields by 27% to 60%. View evidence ↗

      Why it matters

      Prior research indicates that weed presence in maize can reduce yields by 27% to 60%.

      In the paper's own words

      “Anil et al. (2015) [1] revealed that presence of weeds in maize reduced the maize yield by 27 to 60 percent depending upon the growth and persistence of weed population.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • Integrated Weed Management (IWM) combines various control methods to provide a more sustainable and effective strategy than relying on a single method. View evidence ↗

      Why it matters

      Integrated Weed Management (IWM) combines various control methods to provide a more sustainable and effective strategy than relying on a single method.

      In the paper's own words

      “IWM is an approach that emphasizes the use of a combination of different weed control methods to create a more sustainable and effective strategy.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to evaluate which weed management practices are most effective for improving the growth and yield of sweet corn. View evidence ↗

      The question

      The study aimed to evaluate which weed management practices are most effective for improving the growth and yield of sweet corn.

      In the paper's own words

      “Hence, the present study has been carried out to evaluate the best weed management practices on growth and yield attributes of sweet corn.”

      Page 2

      Found in: Introduction

      Read it in the full textOpen PDF at page 2 ↗
  3. What they did

    • The field experiment took place in Vangudi village, Tamil Nadu, from July to October 2022. View evidence ↗

      What they did

      The field experiment took place in Vangudi village, Tamil Nadu, from July to October 2022.

      In the paper's own words

      “Field experiment was carried out at Vangudi village of udaiyarpalayam taluk, Ariyalur district, Tamil Nadu during July to October, 2022.”

      Page 1

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 1 ↗
    • The researchers used a randomized block design with ten different treatments, each replicated three times. View evidence ↗

      What they did

      The researchers used a randomized block design with ten different treatments, each replicated three times.

      In the paper's own words

      “The experiment used randomised block design, with three replications and ten treatments.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • The experiment was conducted using the Sugar-75 sweet corn hybrid. View evidence ↗

      What they did

      The experiment was conducted using the Sugar-75 sweet corn hybrid.

      In the paper's own words

      “The study used the popular sweet corn hybrid Sugar-75.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Treatments ranged from an unweeded control to combinations of herbicides (pendimethalin or metolachlor), hand weeding, intercropping with blackgram, and sugarcane trash mulching. View evidence ↗

      What they did

      Treatments ranged from an unweeded control to combinations of herbicides (pendimethalin or metolachlor), hand weeding, intercropping with blackgram, and sugarcane trash mulching.

      In the paper's own words

      “There were ten treatment, viz., T1-Unweeded control, T2-Two hand weeding on 15 and 30 DAS, T3 -Pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS, T4 -Metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS, T5-Pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + One hand weeding on 30 DAS, T6 - Metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + One hand weeding on 30 DAS, T7 - Pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram), T8 -Metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram), T9 -Pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + Sugarcane trash mulching on 21 DAS and T10 - Metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Sugarcane trash mulching on 21 DAS.”

      Page 2

      Found in: Materials and Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • The combination of metolachlor and blackgram intercropping (T8) produced the tallest plants, reaching 177.2 cm at 60 days after sowing (DAS). View evidence ↗

      What they found

      The combination of metolachlor and blackgram intercropping (T8) produced the tallest plants, reaching 177.2 cm at 60 days after sowing (DAS).

      In the paper's own words

      “Among the integrated weed management practices, pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram) (T8) was found to be advanced in plant height of 177.2 cm on 60 DAS.”

      Page 2

      Found in: Results and Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • The unweeded control (T1) had the shortest plants, measuring only 107.4 cm at 60 DAS. View evidence ↗

      What they found

      The unweeded control (T1) had the shortest plants, measuring only 107.4 cm at 60 DAS.

      In the paper's own words

      “Unweeded control (T1) showed significant reduction in plant height of 107.4 cm on 60 DAS”

      Page 2

      Found in: Results and Discussion

      Read it in the full textOpen PDF at page 2 ↗
    • The T8 treatment (metolachlor + blackgram) achieved the highest dry matter production at 7501 kg ha-1 at 60 DAS. View evidence ↗

      What they found

      The T8 treatment (metolachlor + blackgram) achieved the highest dry matter production at 7501 kg ha-1 at 60 DAS.

      In the paper's own words

      “Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram) (T8) recorded (7501 kg ha-1) on 60 DAS has shown a better crop dry matter production.”

      Page 2

      Found in: Efficacy of IWM on dry matter production

      Read it in the full textOpen PDF at page 2 ↗
    • The highest leaf area index (LAI) of 6.96 at 60 DAS was recorded under the T8 treatment. View evidence ↗

      What they found

      The highest leaf area index (LAI) of 6.96 at 60 DAS was recorded under the T8 treatment.

      In the paper's own words

      “Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram) (T8) was recorded higher LAI of 6.96 on 60 DAS.”

      Page 2

      Found in: Efficacy of IWM on leaf area index

      Read it in the full textOpen PDF at page 2 ↗
    • The T8 treatment resulted in the highest green cob yield of 9548 kg ha-1. View evidence ↗

      What they found

      The T8 treatment resulted in the highest green cob yield of 9548 kg ha-1.

      In the paper's own words

      “The higher green cob yield was recorded under the treatment pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 ha on 3 DAS + Intercropping (Blackgram) (T8) recorded (9548 kg ha-1)”

      Page 2

      Found in: Efficacy of IWM on green cob yield

      Read it in the full textOpen PDF at page 2 ↗
    • The lowest green cob yield, 5886 kg ha-1, was observed in the unweeded control (T1). View evidence ↗

      What they found

      The lowest green cob yield, 5886 kg ha-1, was observed in the unweeded control (T1).

      In the paper's own words

      “The lowest green cob yield was recorded 5886 kg ha-1 in unweeded control.”

      Page 2

      Found in: Efficacy of IWM on green cob yield

      Read it in the full textOpen PDF at page 2 ↗
  5. What it means

    • The authors concluded that the combination of metolachlor application and blackgram intercropping (T8) is an effective IWM practice for controlling weeds and increasing sweet corn growth and yield. View evidence ↗

      What it means

      The authors concluded that the combination of metolachlor application and blackgram intercropping (T8) is an effective IWM practice for controlling weeds and increasing sweet corn growth and yield.

      In the paper's own words

      “Based on the result of field experiment, it concluded that pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram) (T8) was effective integrated weed management practice for controlling weeds and increased growth and green cob yield of sweet corn.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

3 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

AI-generated illustration
AI-generated conceptual illustration (sweet corn plants and blackgram intercrop). It explains the idea and does not show study data.↗ Enlarge
Impact of IWM on Sweet Corn
AI-generated conceptual illustration (sweet corn plants and blackgram intercrop). It explains the idea and does not show study data.

AI-generated conceptual illustration (sweet corn plants and blackgram intercrop). It explains the idea and does not show study data.

Open full-size image ↗

Impact of IWM on Sweet Corn

AI-generated conceptual illustration (sweet corn plants and blackgram intercrop). It explains the idea and does not show study data.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Leaf area index: T1 - Unweeded control vs T2 - Two hand weeding... vs T3 - Pre-emergence... vs T4 - Pre-emergence... vs T5 - Pre-emergence...
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Leaf area index: T1 - Unweeded control vs T2 - Two hand weeding... vs T3 - Pre-emergence... vs T4 - Pre-emergence... vs T5 - Pre-emergence...

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Plant height (cm): T1 - Unweeded control vs T2 - Two hand weeding... vs T3 - Pre-emergence... vs T4 - Pre-emergence... vs T5 - Pre-emergence...
Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Plant height (cm): T1 - Unweeded control vs T2 - Two hand weeding... vs T3 - Pre-emergence... vs T4 - Pre-emergence... vs T5 - Pre-emergence...

Replotted from Table 1 (page 3) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Efficacy of integrated weed management practices on plant height (cm), DMP (kg ha-1), Leaf area index at 60 DAS and green cob yield (kgTable 1Page 3Green cob yield (kg ha-1)Figure 1Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Sweet corn (Zea mays var. saccharata) also called as sugar corn is a type of maize with high sugar content belongs to the family poaceae, it is one of the warm season crops. In India, maize occupies an area of 9.9 million hectares with a production of 32.50 million tonnes and with a productivity of 3.28 t ha -1 (USDA, 2022) [12] . In Tamil Nadu, it is cultivated in an area of 0.33 million hectares with a production of 2.61 million tonnes with a productivity of 7.06 t ha -1 and also it occupies the fourth position in India (Salient statistics on agriculture, 2022) [11] . Weeds compete with sweet corn plants for essential resources such as sunlight, water, and nutrients. This competition can lead to stunted growth of sweet corn, reduced ear size, and overall lower yields. Anil et al. (2015) [1] revealed that presence of weeds in maize reduced the maize yield by 27 to 60 percent depending upon the growth and persistence of weed population. IWM is an approach that emphasizes the use of a combination of different weed control methods to create a more sustainable and effective strategy. The goal is to integrate various practices and techniques to manage weeds while minimizing the reliance on any single method. This approach is particularly important in small farm holdings where resource optimization and sustainable farming practices are crucial. By adopting an IWM approach, farmers can achieve better weed control, enhance crop yields, and reduce the weed seed bank in the soil over time. This integrated and holistic approach aligns with sustainable farming practices, promoting long-term environmental and economic benefits. Maqsood et al. (2020) [8] stated that integrated approach entailing cultural, manual, mechanical and chemical control can be developed as a environmental and farmer friendly approach for weed control by reducing weed seed reserves which can potentially lead to higher economic returns through higher maize yield. Mishra et al. (2020) [9] concluded that critical period of crop weed competition in maize is between 15 to 45 DAS. Sweet corn is a medium plant type and provides green ears within 75 to 85 days after sowing. Sweet corn is consumed as raw or used as an ingredient in the preparation of soup, salad, Manchurians and Chinese dishes. In India, sweet corn is cultivated on very small area by some farmers and private sectors to meet the demands of many industries. Sweet corn is the recent form of grain vegetable. Presence of iron makes it highly suitable for women who suffer from anaemia.

The use of herbicides is an effective method for controlling weed infestation, which enables a quicker breakthrough and contributes to an increase in maize yield (Kantwa et al., 2020) [5] . Hence, the present study has been carried out to evaluate the best weed management practices on growth and yield attributes of sweet corn.

Materials and Methods

The experiment was carried out at the Vangudi village, Ariyalur district, Tamil Nadu during July to October, 2022. The experimental field was located at 11°25' North latitude and 79°45' East longitude with an altitude of +18.0 m above mean sea level. The crop season recorded a maximum temperature which ranged from 31.9 ºC to 36.2 ºC with a mean of 33.7 ºC. The minimum temperature ranged from 22.9 ºC to 24.7 ºC with a mean of 23.9 ºC. The relative humidity ranged from 67.2 to 79.7 percent with a mean of 74.21 percent. The crop period received a rain fall of 192.2 mm distributed over 18 rainy days during crop season The texture of the experimental field soil was sandy clay loam in with a pH of 7.8. The soil was low in available nitrogen, medium in available phosphorus and potassium. The study used the popular sweet corn hybrid Sugar-75. The experiment used randomised block design, with three replications and ten treatments. There were ten treatment, viz., T1-Unweeded control, T2-Two hand weeding on 15 and 30 DAS, T3 -Pendimethalin 30% EC @ 1 kg a.i. ha -1 on 3 DAS, T4 -Metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS, T5-Pendimethalin 30% EC @ 1 kg a.i. ha -1 on 3 DAS + One hand weeding on 30 DAS, T6 -Metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + One hand weeding on 30 DAS, T7 -Pendimethalin 30% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram), T8 -Metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram), T9 -Pendimethalin 30% EC @ 1 kg a.i. ha -1 on 3 DAS + Sugarcane trash mulching on 21 DAS and T10 -Metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Sugarcane trash mulching on 21 DAS. The sweet corn seeds were dibbled at the rate of 12.5 kg ha -1 with the spacing of 60 × 20 cm. Blackgram variety VBN 8 was sown at rate of 20 kg ha -1 with spacing of 30 × 10 cm. All other standard cultural practices were followed during the cropping season. Preemergence application of pendimethalin and metolachlor was done with the help of knapsack sprayer fitted with a flood fan nozzle with a spray volume of 500 L ha -1 as per treatment schedule. In manual weed control treatments, weeds are uprooted within the row and between the rows using with hand weeding as per days mentioned in each treatment. The weed count was taken from the tagged spot of 0.25 m 2 in the randomly selected each net plot and were calculated and converted into square meter basis for convenience. In order to draw a valid conclusion, the weed count data were subjected to ( as suggested by Gomez and Gomez (1984) [4] before statistical analysis. The green cob yield and green fodder yield

Results and Discussion

Efficacy of IWM on plant height Among the integrated weed management practices, preemergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) (T8) was found to be advanced in plant height of 177.2 cm on 60 DAS. This might be due the better weed control at different growth stages of crop.

This effective suppression of the weeds provided competition free condition and hence, the plant can utilize all the available resources viz., light, moisture, space and more nutrients at all stages which results in increased plant height. These findings were similarly related by Poddar et al. (2023) [10] . Unweeded control (T1) showed significant reduction in plant height of 107.4 cm on 60 DAS and at all stages of the crop due to high competition by weeds and suppression of growth due to lesser availability of growth attributing factors to crop thus reduced the plant height to a greater extent.

Efficacy of IWM on dry matter production

The dry matter production is the result of cumulative and complementary effect of plant height, number of leaves and leaf area. Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) (T8) recorded (7501 kg ha -1 ) on 60 DAS has shown a better crop dry matter production. The increased crop dry matter production might be due to better control of weeds which resulted in increase in number of leaves and leaf area to better photosynthesis and reduction in weed competitiveness with the crop which ultimately favoured better environment for growth and development of crops. These findings were similar with Sharma et al. (2023) [12] .

Efficacy of IWM on leaf area index

Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) (T8) was recorded higher LAI of 6.96 on 60 DAS. High value of leaf area index is due to lesser weed competition resulting in higher availability of plant nutrients and moisture favouring increased growth characters and also improved nutrient uptake and vigour due to elimination of weed competition from the beginning of the crop might have contributed to higher leaf area index. From the experiment, it is evident that high competition of weed reduced the input availability and thus reduced the leaf area index in greater extent under unweeded control (T1). Similar type of results was also reported by (Maitra et al., 2023) [7] .

Efficacy of IWM on green cob yield

The higher green cob yield was recorded under the treatment pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 ha on 3 DAS + Intercropping (Blackgram) (T8) recorded (9548 kg ha -1 ) (Fig. 1). This treatment resulted in better control of weeds and provided weed free condition for longer period of crop growth and resulted in increase of all growth and yield parameters as well as it might be due to effective control of weeds, which cumulatively resulted in higher dry matter accumulation which helped in greater translocation of food materials to reproductive parts and reflected in terms of yield attributing characters such as number of grains cob -1 . All these parameters showed positive and significant relationship on green cob yield of sweet corn. Unweeded control (T1) showed the real picture of the aggressive nature of weeds on the growth of sweet corn. The lowest green cob yield was recorded 5886 kg ha -1 in unweeded control. This was due to increased crop weed competition for different resources viz., light, moisture, space and nutrients. Yield losses of similar magnitude due to the weed competition reported by Chang et al. (2021) [2] and Deshmane et al. (2023) [3] . T6 -Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + One hand weeding on 30 DAS 140.8 5946 4.92 7624 T7 -Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) 169.2 7159 6.49 9124 T8 -Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) 177.2 7501 6.96 9548 T9 -Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha -

Figure 1. Green cob yield (kg ha-1)
Green cob yield (kg ha-1)↗ Enlarge
Figure 1
Green cob yield (kg ha-1)

Green cob yield (kg ha-1)

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗

Conclusion

Based on the result of field experiment, it concluded that preemergence application of metolachlor 50% EC @ 1 kg a.i. ha -1 on 3 DAS + Intercropping (Blackgram) (T8) was effective integrated weed management practice for controlling weeds and increased growth and green cob yield of sweet corn.

Figures and tables from the paper

Table 1. Efficacy of integrated weed management practices on plant height (cm), DMP (kg ha-1), Leaf area index at 60 DAS and green cob yield (kg
TreatmentsPlant height (cm)DMP (kg ha-1)Leaf area indexGreen cob yield (kg ha-1)
T1 - Unweeded control107.445553.025886
T2 - Two hand weeding on 15 and 30 DAS165.870016.358918
T3 - Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS116.949023.486326
T4 - Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS125.152493.956754
T5 - Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + One hand weeding on 30 DAS133.156044.427184
T6 - Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + One hand weeding on 30 DAS140.859464.927624
T7 - Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram)169.271596.499124
T8 - Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Intercropping (Blackgram)177.275016.969548
T9 - Pre-emergence application of pendimethalin 30% EC @ 1 kg a.i. ha-1 on 3 DAS + Sugarcane trash mulching on 21 DAS149.262965.398056
T10 - Pre-emergence application of metolachlor 50% EC @ 1 kg a.i. ha-1 on 3 DAS + Sugarcane trash mulching on 21 DAS157.366445.878487
S.Em+2.48106.070.09135.57
CD (P=0.05)7.46315.160.27402.82

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

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Efficacy of integrated weed management practices on plant height (cm), DMP (kg ha-1), Leaf area index at 60 DAS and green cob yield (kg↗ Enlarge
Table 1
Efficacy of integrated weed management practices on plant height (cm), DMP (kg ha-1), Leaf area index at 60 DAS and green cob yield (kg

Efficacy of integrated weed management practices on plant height (cm), DMP (kg ha-1), Leaf area index at 60 DAS and green cob yield (kg

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Original paper tableSource PDF · page 3 ↗

References

9 in the original paper
  1. Anil K, Jai K, Puniya R, Amit M, Neetu S, Lobzang S. Weed management in maize-based cropping system. Indian Journal of Weed Science. 2015;47(3):254-266.
  2. Chang MS, Kandhro MN, Abbasi ZA, Sootaher JK, Buriro KA, Channa Z, et al. Comparative efficacy of purple nutsedge allelopathy and other methods on weed management in Barley (Hordeum vulgare L.). Pakistan Journal of Weed Science Research. 2021;27(2):127-137.
  3. Deshmane AD, Ghanbahadur MR, Chavhan KR. Effect of minimum tillage on productivity and economics of sweet corn: Pulses intercropping system. The Pharma Innovation Journal. 2023;12(3):407-409.
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  6. Khan I, Iqbal M, Malik MH, Jilani MS, Baloch MS, Khan MS, Mamoon-ur-Rashid M. Efficacy of dual gold (smetolachlor) on weed biomass, and on the growth and yield components of sugar beet (Beta vulgaris L.). Pakistan Journal of Weed Science Research. 2021;27(4):495.
  7. Maitra S, Praharaj S, Brestic M, Sahoo RK, Sagar L, Shankar T, Hossain A. Rhizobium as Biotechnological Tools for Green Solutions: An Environment-Friendly Approach for Sustainable Crop Production in the Modern Era of Climate Change. Current Microbiology. 2023;80(7):1-15.
  8. Maqsood Q, Abbas RN, Iqbal MA, Serap KA, Iqbal A, Sabagh AE. Overviewing of weed management practices to reduce weed seed bank and to increase maize yield. Planta Daninha. 2020;38:1-10.
  9. Mishra GC, Mishra G, Nayak BS, Behera MP, Lenka SK. Influence of weed management practices on weed control efficiency, growth and productivity of hybrid maize. International Journal of Chemical Studies. 2020;8(3):20852089.