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Study of Postharvest Weed Population in Paddy Fields

SJA_34_2_395-399

 

 

 

Research Article

Study of Postharvest Weed Population in Paddy Fields

Mohammad Javad Golmohammadi1, Hamid Reza Mohammaddoust Chamanabad1*, Bijan Yaghoubi2 and Mostafa Oveisi3

1Department of Agronomy and Plant Breeding, Faculty of Agriculture and Natural Resource University of Mohaghegh Ardabili, Ardabil, Iran; 2Associate Professor. Rice Research Institute, Rasht, Iran; 3Department of Agronomy and Plant Breeding, Faculty of Agriculture University of Tehran; Karaj, Iran.

Abstract | The emergence of weeds in agricultural fields is one of the most challenging problems of humankind since the beginning of agriculture. An important part of the proper management of weeds in the paddy fields is rice postharvest weed management until land preparation for re-cultivation. In order to determine the frequency and relative cover (RC), the samples were collected from 481 fields during the growing season and 255 fields after harvesting rice in Guilan province (Iran) from 2014 to 2016 (from April to March of each year) based on the method of Thomas by throwing 0.5m × 0.5m quadrat to count existing genus and species of weeds. According to the results, the highest frequency was related to weed species of Echinochloa crusgalli (96.9%), Paspalum distichum (78.8%) and Eclipta prostrate (51.8%). Cyperaceae and Poaceae families showed the highest frequency with 13 species (20%) and 8 species (12%), respectively. The RC of E. crusgalli had the highest dominance (51.4%) after rice harvesting in the fields of Guilan province. Of the 5 predominant species with the highest frequency in after harvesting rice, 4 species had the highest frequency and dominance during the growing season of rice.


Received | October 31, 2017; Accepted | January 10, 2018; Published | May 24, 2018

*Correspondence | Hamid Reza Mohammaddoust Chamanabad, Department of Agronomy and Plant Breeding, Faculty of Agriculture and Natural Resource University of Mohaghegh Ardabili, Ardabil, Iran; Email: [email protected]

Citation | Golmohammadi, M.J., H.R.M. Chamanabad, B. Yaghoubi and M. Oveisi. 2017. Study of postharvest weed population in paddy fields . Sarhad Journal of Agriculture, 34(2): 395-399.

DOI | http://dx.doi.org/10.17582/journal.sja/2018/34.2.395.399

Keywords | Species diversity, Weed frequency, Sustainable management, Rice, Guilan



Introduction

Weeds are a serious challenge in the rice production (Tshewang et al., 2016). Knowing the weeds of a region is an important issue in terms of domestic and foreign quarantine (Aghabeigi, 1992). Due to early harvesting of rice in many regions of Guilan province and favorable conditions for weed growth, weed management in fall is one of the important strategies in reducing seed production. One of the consequences of the critical period hypothesis is that farmers are often unaware of late-season weed control and preventing seed production. The postharvest period is a great time to manage winter annual, biennial and perennial weeds (Rajcan et al., 2004). The late-season weed, seed bank and weed seed bank cover the soil again and perpetuate the weed infestation (Minbashi et al., 2011). The postharvest weed management has a direct impact on the dynamics of weed population and control at the time of crop production. After harvesting the crops, the weeds can germinate and grow, causing weed management problems in the coming season (Rodenburg et al., 2011).

In the absence of proper weed management, including the prevention of seed production after harvesting the rice, many species of weeds such as E. crusgalli, Carex and Polygonum produce large amounts of seeds and buds in non-seasonal crops, increase the seed and bud bank, ultimately become the main source of contamination in subsequent cultivation and hence result in the difficulty in the integrated management of next season in the paddy fields. The prevention can be reintegrated into all aspects of agricultural production and can always be the first line of defense (Minbashi et al., 2011).

The postharvest weed management can reduce weed pressure, manage herbicide-resistant weeds and reduce the costs of agricultural operations for the next growing season. Information on the frequency and composition of seeds in the weed seed bank is very important for identifying the weed dynamics. It is also very useful to apply the seed bank to predict the future weed population (Ball and Miller, 1989).

Knowing the frequency and the RC of rice postharvest weeds can be helpful in managing the species from the persistent and troublesome weeds in the rice-growing season.

Materials and Methods

The present experiment was conducted from 2014 to 2016 for three years in the paddy fields of Guilan province and after harvesting the rice from April to March of each year. The sampling was performed in 16 counties of the province from 481 fields during the growing season and 255 fields after harvesting rice. According to the determination of RC, sampling was done by the 0.25 m2 quadrat and divided into 10 × 10 cm plots in a sampling unit according to W pattern. The weeds were counted in each plot and the genus and species were identified. The number of plots covered by the weed species represented the percentage of weed coverage.

Image170878.PNG 

Where;

Fk: Frequency of species; Yi: Presence or absence of species; n: Number of fields visited (Nkoa et al., 2015; Minbashi et al., 2011).

Results and Discussion

The results presented in Table 1 show that E. crusgalli accounted for the highest frequency (96.9%) and RC (51.4%) of weeds after rice harvesting, and 65 weed species belonging to 27 plant families were recorded in the paddy fields after harvest. The Cyperaceae and Poaceae families showed the highest frequency with 13 species (20%) and 8 species (12%), respectively. The identified species (n=65) included monocotyledons (n=29), dicotyledons (n=30), pteridophytes (n=2), ferns (n=3) and algae (n=1). Ten species of plants were found floating and submerged in water. Weed flora composition in rice fields during growing season of 16 counties in Guilan Province includes 66 species belonging to 29 families. 52 out of 65 (80%) weed species identified after rice harvest were the same species recorded in the paddy fields during crop season in the Guilan province. In addition 4 out of 5 main dominant weeds with highest frequency after rice harvest were the same species most prevalent in cropping season. Echinochloa spp is one of the significant weeds in the paddy fields, which has two important and damaging species (E. crus-galli, E. Oryzoides) in the crop season. E. oryzoides is a weed that mimics the rice, has 70% less frequency than in E. crusgalli after harvesting the rice, and often appears during the growing season of the rice (Table 1).

Table 1: Species of postharvest weeds in the paddy fields (from August to March of each year), 2014-2016.

No Species Family frequency relative cover (RC)
1 Echinochloa cruss galli Poaceae 98.86 51.36
2 Paspalum distichum Poaceae 78.82 30.68
3 Eclipta alba Asteraceae 51.76 7.76
4 Algue blue-green Cyanophyceae 32.94 14.35
5 Cyperus difformis Cyperaceae 43.14 12.08

6

Cyperus serotinus Cyperaceae 41.57 7.33
7 Cyperus strigosus Cyperaceae 35.29 2.07
8 Ammania multiflorum Lythraceae 32.16 4.60
9

Echinochloa oryzoides

Graminae 28.24 5.68
10 Xanthium strumarium Asteraceae 26.27 3.33
11 Azolla filiculoides Salviniaceae 25.88 17.08
12 Alternathra sessilis Amaranthaceae 25.49 3.67
13 Alisma plantago-aquatica Alismaceae 24.31 3.89
14 Cyperus longus Cyperaceae 23.14 2.46
15 Lemna minor Lemnaceae 21.18 4.58
16 Cyperus esculenthus Cyperaceae 20.39 9.76
17 Polygonum persicaria Polygonaceae 19.61 1.84
18 Alopecurus myosorides

Poaceae

18.82 3.55

19

Hydrocotyle heteomeria Apiaceae 17.65 1.40
20 Polygonum hydropiper Polygonaceae 14.12 0.86
21 Sagittaria trifolia Alismaceae 14.12 2.31
22 Schoenoplectus juncoides Juncaceae 12.16 0.67
23 Pycreus flavescense Cyperaceae 11.76 1.04
24 Ludwigia epilobioides Onagraceae 10.59 2.67
25 Monochoria vaginalis Pontederiaceae 10.59 5.87
26 Bidens tripartita Asteraceae 9.41 0.45
27 Echinochloa colona Graminae 7.84 0.77
28 Scirpus maritimus Cyperaceae 7.84 3.37

29

Ammannia gracilis Lythraceae 7.45 0.91
30 Ammannia baccifera Lythraceae 7.06 0.42
31 Ludwigia palustris Onagraceae 6.67 1.90
32 Najas marina Hydrocharitaceae 6.67 1.22
33 Cardamine pensylvanica Brassicaceae 6.27 0.78
34 Cyperus rotundus Cyperaceae 6.27 0.52
35 Pycreus lanceolatus Cyperaceae 5.10 0.44
36 Riccia glauca Ricciaceae 5.10 0.66
37 Rotala indica Lythraceae 5.10 0.52
38 Scirpus mucronatus Cyperaceae 5.10 0.36

39

Potamogeton nodosus Potamogetonaceae 4.71 0.80
40 Cyperus glomeratus Cyperaceae 4.31 0.25
41 Polygonum hydropiperoides Polygonaceae 3.92 0.22
42 Ranunculus aquatilis Ranunculaceae 3.14 0.44
43 Acalypha australis Euphorbiaceae 2.75 0.13
44 Amaranthus retroflexus Amaranthaceae 2.75 0.11
45 Nasturtium officinale Brassicaceae 2.35 0.41
46 Coix lacryma-jobi Graminae 1.96 0.09
47 Equisetum palustre Equisetaceae 1.96 0.19
48 Najas minor Hydrocharitaceae 1.96 0.63

19

Rumex crispus Polygonaceae 1.96 0.08
50 Digitaria sanguinalis Graminae 1.57 0.06
51 Abutilon theophrasti Malvaceae 1.57 0.06
52 Marsilea quadrifolia Marsileaceae 1.57 0.30
53 Bergia capensis Elatinaceae 0.18 0.08
54 Cyperus odoratus Cyperaceae 1.18 0.13
55 Equisetum arvensis Equisetaceae 0.78 0.03
56 Solanum nigrum Solanaceae 0.78 0.03
57 Azolla pinnata Salviniaceae 0.39 0.16
58 Butomus umbelatus Butomaceae 0.39 0.02

59

Fimbristylis miliacea Cyperaceae 0.39 0.02
60 Phragmites australis Graminae 0.39 0.02
61 Physalis peruviana Solanaceae 0.39 0.08
62 Potamogeton crispus Potamogetonaceae 0.39 0.02
63 Sonchus arvensis Asteraceae 0.39 0.02
64 Typha latifolia Typhaceae 0.39 0.05
65 Typha minima Typhaceae 0.39

0.02

The most predominant weeds after harvesting the rice based on the RC were different species of Echinochloa, Cyperus, Azolla and Algue blue-green, as 57.8%, 39.6%, 17.2% and 14.4%, respectively. The relative dominance of different species of Echinochloa and Cyperus during and after the crop season has a greater role in absorbing light due to the height and vertical distribution of the aerial parts and as a result occupies more ecological niches. One of the characteristics of the RC is to measure the weed frequency and biomass. Since the layers of the plants mingle with each other, the total coverage may be higher than 100% (Mohammaddoust chamanabad, 2011).

There is a direct relationship between the frequency of postharvest weed and weed growth during rice production. Accordingly, improper management of the persistent and troublesome rice postharvest weeds doubles the problems, increases the cost of management in the crop season, and affects the quantitative and qualitative yield of the product. Favorable climatic conditions after rice harvest in late August and early September, especially suitable temperatures and good rainfall provides desirable condition for maturing the weeds beneath rice canopy or some weeds that germinate and complete their life cycle after rice crop season. The weeds that germinate later in the growing season have less competition, biomass and seed production compared to those that germinate earlier (Hartzler et al., 2004; Chauhan and Johnson, 2010).

Many of the weeds in the rice-growing areas have annual growth period. The annual weed seeds are capable of germination under unsuitable conditions and able to complete their life cycle from seed to seed during the growing season (Singh et al., 2008). Studies have shown that the release of arable land after harvesting the rice (seen in more than 90% of the paddy fields of Guilan province) leads to re-growth of weeds, which in turn increases seed banks and buds in the soil and begins to grow in the subsequent crop seasons. Our results showed that annual plants such as Echinochloa spp, E. prostrata and C. difformis complete their life cycle after rice harvest and produced a lot of seeds, which can result to contamination of irrigation canals, transfer to other fields by birds and animals, and eventually increase seed bank in next crop season. The main source of weed infestation in the crops is their seed bank, which is emptied due to germination, physiological age, rottenness and hunting. The changes in weed seed bank have a significant impact on the population of weed species (Singh et al., 2017). Table 2 shows the frequency percentage of ten weed species in the next season after harvesting the rice and during crop season. In the growing season, among the narrow-leaf species, the most prevalent and most frequent species (89.8%) was E. cruss galli weeds.

The frequencies of more than 50% of the species belonged to Polygonum and E. oryzoides. Among Carex, the most frequent species was C.difformis (56.5%); as well as C. serotinus and C. esculenthus had a frequency of 34.5% and 31.6%, respectively. Among broad-leaf species, the most frequent species were respectively E. prostrate (49.5%) and S. trifolia (31.6%) and A. plantago-aquatica (28.7%) in the paddy fields. Among the floating and submerged species in water, A. filiculoides, L. minor and A. blue-green had the highest frequency of 34.1%, 28.3% and 17.3%, respectively (Table 2).

Table 2: Frequency of the most important weeds after harvesting and during growing season of rice in the fields of Guilan province.

No Species Postharvest frequency percentage Growing-season frequency percentage
1 Echinochloa cruss galli 96.7 89.8
2 Paspalum distichum 78.8 78.8
3 Eclipta alba 51.8 49.5
4 Cyperus difformis 43.1 56.5
5 Cyperus serotinus 41.6 34.5
6 Cyperus strigosus 35.3 2.5
7 Algue blue-green 33 17.3
8 Ammania multiflorum 32.1 16.8
9 Echinochloa oryzoides 28.2 60.1
10 Xanthium strumarium 26.3 13.5
11 Azolla filiculoides 25.9

34.1

 

The survival of many plants, especially annual plants, depends on the production of a large number of seeds, and this is the key to solve the resulting problems because the weeds can be controlled by preventing their seed production. Failure to prevent their seed production increases the number of seeds in the soil and thus enhances the severity of crop infestation with weeds. This issue should be considered seriously in weed management programs and weed management should be done before flowering (Mohammaddoust chamanabad, 2011). In this study, the annual plants such as E. crusgalli, E. prostrate and C. difformis produced a lot of seeds after harvesting the rice, thereby contaminating irrigation canals, transferring to other fields by birds and animals, and ultimately increasing the seeds and buds in the field during the new growing season. One of the factors in reducing seed banks is to decrease the entry of weeds into the soil. This will help reduce weed populations in the coming years (Lindstrom and Kokko, 2000). X. strumarium with a frequency of 26% is a species whose seed releasing contributes to the spread of contamination and many prickles on seeds cause a lot of trouble for workers when transplanting in the paddy fields during the crop season. The weeds should be removed before flowering and fruiting due to multiplying contamination by seed production and increasing seed banks in the soil. The weeds produce many seed, may remain in the soil and increase the weed seed bank for the next growing season (Nithya and Ramamoorthy, 2015). The appropriate identification and management of late- and postharvest of the rice can play an important role in reducing the seed bank and buds in the soil, which is one of the important strategies for postharvest weed management (Eubank et al., 2012).

During three years, from 736 rice fields of Guilan province during the growing season and after harvest, until the land preparation stage, sampling was done. The weeds of E. cruss galli, P. distichum, E. prostrate, C. difformis and C. serotinus were highest in rice fields, respectively. E. crussgalli, P. distichum, E. oryziodes, C. difformis, E. prostrate and C. serotinus were the highest during the growing season of rice (Table 2). Considering the favorable temperature and rainfall conditions after rice harvesting and re-growth of weeds, preventing sprouting and weeding of seeds after harvest, greatly prevent the spread of contamination.

Author’s Contribution

All the authors contributed equally for this researcha nd the manuscript.

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