Due to growing food demand by the rapidly expanding population, utilizing the fallow period for a second crop has become essential. In Odisha, rice-relay pulse cropping is a commonly practiced sequence
(Kumar et al., 2018). Yet, over the past decade, cultivation pulse crops in the region was ought to be challenging. In addition, delayed monsoons have postponed the transplanting of
kharif rice, thereby negatively affecting the sowing window for pulses
(Jena et al., 2020). In this context, maize cultivation during the fallow period is gaining attention due to its adaptability to challenging conditions. In India maize covers an area of approximately 10.04 million hectares, with a production of 33.62 million tonnes and an average productivity of 3349 kg ha
-1 (
GoI, 2023). Similarly, in Odisha, maize occupies about 272.15 thousand hectares, producing 869 thousand tonnes with a productivity of 3194 kg ha
-1 (
GoO, 2023).
In rice-maize cropping sequence 25-30% of energy is consumed during conventional field preparation
(Kadiyala et al., 2012). This not only reduces farm profitability but also delays maize sowing, ultimately lowering productivity. To overcome this, the rice-fallow maize system is emerging as an efficient and promising alternative. Despite its potential, this system poses unique challenges such as regeneration of rice stubble and enhanced weed growth. In maize, the critical period for weed competition is typically the first 45 days after sowing (DAS), beyond which weeds have minimal impact on yield
(Kumar et al., 2015; Hussen, 2021). Yield losses due to weed in maize varies from 28 to 93%, depending on the type of weed flora and intensity and duration of crop weed competition
(Mhlanga et al., 2016). As a result, effective weed management within the first 8 weeks after sowing is essential to reduce competition and ensure optimal maize growth and yield
(Ullah et al., 2008; Singh et al., 2023).
However, despite the importance of managing weeds during this period, timely weeding is often hampered by labour shortages and the unavailability of suitable equipment for efficient weed management in the rice-fallow maize system. In this context, determining the most effective herbicide sequence (Pre and post-emergence application of herbicides) for maize cultivation in the rice-fallow system became crucial. To address this research gap the present research was conducted.
A field experiment was carried out at Post-Graduation Research Farm, M.S. Swaminathan School of Agriculture, Centurion University of Technology and Management, Odisha (18.80° N latitude, 84.18° E longitude and at an altitude of 89 meters above mean sea level) during
rabi season of 2023-24. During the period of experimentation, the total amount of rainfall received was 188.5 mm with the maximum temperature ranged between 28.7°C to 42.2 °C and the minimum temperature ranged between 14.5 °C to 27.9 °C. In the morning, the relative humidity ranged between 77% to 87.4% and in the afternoon, the relative humidity ranged between 38.3% to 70.3% during the crop growing period. Moreover, the weekly sunshine hours, pan evaporation and wind velocity during the crop growing period ranged from 5.7 hrs day
-1 to 9 hrs day
-1, 1.6 mm to 4.8 mm and 3.6 km hr
1 to 7.1 km hr
1, respectively.
The soil in the experimental field was sandy loam in texture, slightly acidic in reaction (6.4), low in organic carbon (0.35%) and available nitrogen (194.5 kg ha
-1) but medium in available phosphorus (14.5 kg ha
-1) and available potassium (126.4 kg ha
-1) with an electrical conductivity at a safer range (0.7 dSm
-1). The present study was conducted on Maize hybrid
viz., NMH 8352 (Winner) with a recommended dose of fertilizer of 120-60-60 kg N-P
2O
5-K
2O ha
-1.
The present study consisted of nine treatments with three replications laid out in randomized block design (Table 1). The data observed was analyzed statistically using analysis of variance (ANOVA). The statistical analysis mainly involved the calculation of standard error of means (SEm±) and critical difference at 5 per cent level of significance (
Gomez and Gomez, 1984). Further, the data was presented with alphabets superscripting the integers and the same letters as a superscript indicate that those treatments did not vary significantly at 5 per cent level of significance.
The experimental field was infested with grasses and broad-leaved weeds, while no sedges were detected throughout the investigation. The weed species identified during the study included
Digitaria sanguinalis,
Dactyloctenium aegyptium,
Cynodon dactylon,
Echinochloa colona,
Eragrostis unioloides and
Chloris radiata among the grasses, as well as
Phyllanthus amarus,
Parthenium hysterophorus,
Euphorbia hirta,
Amaranthus viridis and
Diger amuricata among the broad-leaved weeds.
The perusal of data in Table 2 revealed that at 80 DAS, the weed density and weed dry matter were significantly influenced by sequential application of herbicides. The highest weed density and weed dry matter was noted by H9. It was attributed to the adoption of no weed control measures that allowed weeds to grow unchecked throughout the study period resulting in higher weed dry matter. On the other hand, the lowest weed density was noted by H6 which was on par with H2. It was attributed to the pre-emergence application of pendimethalin at 1 kg a.i. ha
-1 created a soil barrier that inhibited the germination and emergence of weed seeds, ensuring lower weed density during early crop establishment. This was followed by the post-emergence application of topramezone + atrazine (1:10) at 25.2 kg a.i. ha
-1, which might have provided effective control of both grassy and broadleaf weeds at later growth stages. The combined action of these herbicides resulted in significantly reduced weed density. Further, lower weed density by the former treatment might have attributed to significantly lower weed dry matter because fewer weeds mean less overall biomass accumulation which was on par with H2, H3 and H5 Ultimately, the former treatment exhibited the highest weed control efficiency. This discussion was in close conformity with
Gupta et al. (2018),
Akhtar et al. (2015),
Rani et al. (2022) and
Mitra et al. (2018) in maize.
The perusal of data in Table 2 revealed that apart from plant height of rice-fallow maize all other growth parameters
viz., dry matter accumulation were significantly influenced by sequential application of herbicides in rice-fallow maize. Among the treatments, the H6, effectively controlled weeds, reducing competition for nutrients, water and light. This might have led to better crop growth, enhanced photosynthesis and higher dry matter accumulation in rice-fallow maize at 80 DAS. The former treatment was statistically comparable with H2. However, the plant height was not influenced by the treatments applied in the present investigation since, maize plant height is largely governed by genetic factors and herbicides used in the experiment might not have plant growth-promoting effect. This discussion was in strong corroboration with the findings of
Acharya et al. (2022),
Verma et al. (2009) and
Wiqar et al. (2021) in maize.
The significant influence in cob length and the number of grains per row (Table 3), leading to maximum grain yield in rice-fallow maize, could be attributed to reduced weed competition for nutrients and moisture due to H6. This treatment allowed maize plants to utilize more nutrients, water and sunlight, promoting better cob development and grain filling. Compared to other treatments, including the H1and H9, this strategy was superior because pendimethalin provided broader and longer-lasting weed suppression. As a result, H6 recorded (Table 4) was significantly higher grain yield of 19.00% over H3, 15.84% over H1 and 29.16% over H9 demonstrating the effectiveness of this herbicide sequence in optimizing maize productivity. The discussion was in close conformity with
Triveni et al., (2017), Agrawal et al., (2019) and
Chopra et al., (2008) in maize. However, cob girth, number of rows per cob and 100 seed weight (Table 3) recorded no significant variation with sequential application of pre and post emergence herbicides because these traits are relative stable genetic characteristics of maize variety which were significantly not influenced by agronomic management. Similarly, results are observed in
Sairam et al., (2023), Jadhav et al. (2022) in maize and
Reddy et al. (2012) in rice. Moreover, due to cumulative effect of plant height and dry matter accumulation and ultimately enhanced the grain yield of rice-fallow maize further attributed H6 to attribute the highest stover yield and biological yield.