• [email protected]
  • +971 507 888 742
Submit Manuscript
SciAlert
  • Home
  • Journals
  • Information
    • For Authors
    • For Referees
    • For Librarian
    • For Societies
  • Contact
  1. American Journal of Plant Nutrition and Fertilization Technology
  2. Vol 6 (1), 2016
  3. 8-14
  • Online First
  • Current Issue
  • Previous Issues
  • More Information
    Aims and Scope Editorial Board Guide to Authors Article Processing Charges
    Submit a Manuscript

American Journal of Plant Nutrition and Fertilization Technology

Year: 2016 | Volume: 6 | Issue: 1 | Page No.: 8-14
DOI: 10.3923/ajpnft.2016.8.14
crossmark

Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
Research Article

Weed Management by Sowing Dates Optimization and Glyphosate Application: Impact on the Growth and the Yield of Common Bean Crop (Phaseolus vulgaris L.)

Mick Assani Bin Lukangila, Dembo Ehuta, Mwangalalo Alal, Antoine Kanyenga Lubobo and Meschaq Ilunga Tshibingu

ABSTRACT


Background and Objective: An experiment was installed at Kasapa farm during the 2013-2014 cultural season in aim to assess the effects of sowing dates and glyphosate doses on the behavior of common bean. Materials and Methods: The essay was installed according to a split plot device, the main factor was constituted of planting dates and glyphosate doses secondary factor. The effects of three sowing dates (25th January, 5th February and 15th February) and four doses of glyphosate (1.5, 3, 4.5 and 6 L ha–1) on common bean behavior were assessed. Results: The analysis of variance showed the lack of interaction between herbicides doses and sowing dates on all common bean growth and production parameters. However, Tukey HSD test revealed the effects of planting date on plant size. On first sowing date (25th January), the number of pods per plant was similar to plots sown on 5th and 15th February. Moreover, the highest grain yield (2.03 t ha–1) was obtained in plots sown on 5th February. Conclusion: This study showed the influence of sowing dates on weed flora. The study also proved that four species of weeds, Cyperus rotundus, Ageratum conyzoides, Ageratum houstonianum and Spilanthes acmella were indifferent and resistant to two weed management modes (sowing date optimization and glyphosate application).
PDF Abstract XML References Citation
Received: May 10, 2016;   Accepted: May 30, 2016;   Published: September 15, 2016

How to cite this article

Mick Assani Bin Lukangila, Dembo Ehuta, Mwangalalo Alal, Antoine Kanyenga Lubobo and Meschaq Ilunga Tshibingu, 2016. Weed Management by Sowing Dates Optimization and Glyphosate Application: Impact on the Growth and the Yield of Common Bean Crop (Phaseolus vulgaris L.). American Journal of Plant Nutrition and Fertilization Technology, 6: 8-14.

DOI: 10.3923/ajpnft.2016.8.14

URL: https://scialert.net/abstract/?doi=ajpnft.2016.8.14

INTRODUCTION


Weeds are a major constraint to the cultivation of common bean whose sensitivity is spread throughout the growth cycle, but the most critical periods are at the stage of deployment of 3-5 sheets1.

In many African countries, yield losses caused only by weeds easily reach over 50%2,3. According Dogan et al.4 in most of them, the beginning of crop year is conditioned by rains, which for several decades there has been marked by climatic disturbances either by abundance or rain scarcity making it difficult to determine planting dates5.

Studies by Toure et al.6 and Da Costa et al.7 showed that the sowing at the optimum time improves crop performance face several plagues and this taking into account the period for the emergence weeds must intervene after the phonological phase sensitivity of culture8. Since the constraint mentioned relative to the time of sowing and nuisance weed culture, it is necessary to use the IPM strategy combining cultural and chemical control for sustainable agriculture. Therefore, as weeds are as a major problem to be solved to increase common bean culture productivity. Generally, weeds in the case of a bad control lend themselves more to competition compared to cultivated plants in rivaling their space, light, humidity, nutrients and carbon dioxide resulting in losses of yields and difficulty of the harvesting operations even see the depreciation of the useful product. Moreover, common bean is relatively sensitive to the presence of weed mainly between 4-6 weeks after sowing.

The main objective of this study is to evaluate the effect of sowing date and glyphosate application on common bean behavior. Thus to achieve the objective, this study has set as hypothesis: (i) The crop yield would be influenced by sowing dates and/or herbicide doses applied before sowing and (ii) There is a sowing date and/or herbicide doses that influences weeds development.

MATERIALS AND METHODS


The experiment was conducted at Kasapa farm located in Lubumbashi at: 1243 m a.s.l., 11°39’ South latitude and 27°28’ East longitude9. The soil is ferralsol type with better physical properties, but poor chemically10. The results of chemical analysis before experiments showed: pH(water) 5.7, N: 0.69%, P: under trace form, C: 9% and K: 0.0026%. The flora was inventoried by the linear transect method on a 50 m line length and 5 m width11. This which moreover identified species: Cynodon dactylon, Panicum maximum, Seteria pumila, Imperata cylindrica, Hyparrhenia sp., Tithonia diversifolia, Bidens oligoflora, Hephorbia hirta, Cyperus esculantus, Aspilia kocthii, Celosia trygina, Eleusine indica, Spermacoce pusila, Acanthospernum hispidum, Bidens pilosa, Ageratum houstonianum and Ageratum conyzoides.

The climate has anciently fluctuated and has been marked by dry spells during the rainy season12. Although, subject to changes, the annual average temperature is 20°C and Koppen categorizes the type CW6 with a dry season covers many months unlike the rainy season13.

Weather data from Luano station revealed for the 2013-2014 crop season: The peak rainfall marked the month of February against a decline in April, it is the same as for the number of rainy days and relative humidity.

However, the high temperatures values characterized the month of January, against the low values for April (Table 1). Prelon variety from the Institut National pour l’Etude et la Recherche Agronomiques (INERA) Kipopo station with features such as: Potential yield: 2-2.5 t ha–1, 100 graines weight: 23 g, height at flowering: 35-45 cm served as biological material. However for the weed control herbicide glyphosate SL 480 g L–1 isopropyl amine salt equivalent to 380 g L–1, non-selective post emergent broad spectrum14.

After the first floristic inventory cited above, the opening of the land coupled with 20-25 cm deep tillage and harrowing manuals ensued. Pre-sowing spreading {glyphosate dose (1.5 L ha–1), dose 2 (3 L ha–1), dose 3 (4.5 L ha–1) and dose 4 (6 L ha–1)}, because according to Sadegh et al.15 pre-sowing treatment generally used to control weeds 4-6 weeks after sowing. Seedlings intervened to 3 dates spaced of 10 days: Date 1 (25th January), date 2 (5th February) and date 3 (February 15th) with 2 seeds per hole and spacing of 20×40 cm. The trial was installed according to the split-plot device with three repetitions with the main factor planting dates and high doses glyphosate, each sub plot measured 5×2.4 m.

Table 1: Climate data of the experimental period from December, 2013 to April, 2014
Image for - Weed Management by Sowing Dates Optimization and Glyphosate Application: Impact on the Growth and the Yield of Common Bean Crop (Phaseolus vulgaris L.)
Source: National Agency of Meteorology and Remote Sensing Satellite (METTELSAT)/Luano station

The general appearance of weed was assessed quantitatively according to Braun-blanquet. Two quadrats of 1 m2 placed the middle of each plot in each subplot were used to inventory the species of weeds to flowering. Observation and data collection for the growth parameters including: Emergence rate and plant height and production: No. of pods per plant and No. of seeds per pod were made on 20 plants at 10 plants per centerline and subplot. Except for the yield determined at harvest.

The parameters of the culture were submitted to the analysis of variance (ANOVA) with the Ri386 2.15.0 software to test the effects of treatment and if possible their interaction on the observed parameters and will follow the separation medium by the Tukey HSD. However, the data on the weed density were subject to the Kruskal Wallis test saw the non-normality of the data.

Image for - Weed Management by Sowing Dates Optimization and Glyphosate Application: Impact on the Growth and the Yield of Common Bean Crop (Phaseolus vulgaris L.)
Fig. 1:
Influence of sowing dates on common bean yield. Doses D1: 1.5 L ha–1, D2: 3 L ha–1, D3: 4.5 L ha–1 and D4: 6 L ha–1, Sowing dates: 25 January, Date1: 25th January, Date 2: 5th February and Date 3: 15th February

RESULTS


Influence of sowing date, herbicides doses on the growth parameters and production of common bean: The emergence rate and the number of seeds per pod were not influenced by either sowing dates or by herbicide doses because p>0.05. In contrast, the sowing dates induced effects (p<0.05) on: The height of plants on 30th day after sowing, the number of pods per plant and grain yield of the crop.

Therefore, the comparison of the mean for each of these three parameters by the Tukey HSD emerged differences between the three sowing dates. Thus, it was observed that early sowing induces larger plants or (21.3 cm), against a small size simultaneously for the plots sown seedlings at the second date and last date. For the number of pods per plant, the largest number (10) was reported for the late sowing and the smallest number (4) for semi on the first date.

Seeding on the second date induced a high yield (2.03 t ha–1), while in the first time there was a low yield (0.94 t ha–1).

It should be noted that the combination seeding dates and herbicide doses were observed no influence parameter as p>0.05 (Table 2).

The examination of Fig. 1 indicates that common bean yield varies between 0.94 and 2.03 t ha–1. The highest common bean grain yield is obtain at second date and the lowest at first date.

Effects of treatment on weed density: The alternative test to the variance analysis with the non-parametric Kruskal Wallis showed no glyphosate dose has exerted influence on weed recoveries rates because (p>0.05).

Table 2:Influence of sowing dates, herbicide doses on the observed parameters
Image for - Weed Management by Sowing Dates Optimization and Glyphosate Application: Impact on the Growth and the Yield of Common Bean Crop (Phaseolus vulgaris L.)
The different letters next averages indicate a significant difference after the Tukey HSD test (p<0.05). Doses D1: 1.5 L ha–1, D2: 3 L ha–1, D3: 4.5 L ha–1 and D4: 6 L ha–1

Nevertheless induction effects was observed by sowing dates (p<0.05). Only four species of Cyperus rotundus, Ageratum conyzoides, Ageratum houstonianum and Spilanthes acmella proved apparent indifference, but generally with the weed density varied among planting dates: Heavy infestation on the first date and low for the remaining two dates.

DISCUSSION


In this study, sowing date intervened indirectly on the emergence rate of seeds of the culture that depends heavily on intrinsic and extrinsic factors (Table 1). For this parameter, our results embrace those obtained by Raveneau16 which circumscribes the average temperature of 20-25°C for legumes germination. This study reports that pre-sowing treatment, glyphosate regardless of the applied dose did not inhibit germination of common bean seeds. These results are similar to those obtained by Mick et al.17 to the same culture and the same doses. This translates to a certain selectivity for seeds. In contrast, Kamble18 reports that glyphosate led to a complete halt germination of Hibiscus cannabinus by cotyledon desiccation from 25000 ppm and this exhibition starting from 24 h. Further, the results of Pinto et al.19 emphasize the negative after-effects of glyphosate (960 g a.i. ha–1) on seedling vigor of seeds from the application in the field of common bean R9 is at the stage during the drying pods to accelerate dehydration seeds and improve the quality of commercial product and concerning20 showing that reducing plant vigor after lifting result of the slowdown in the activity of gibberellic acid and/or indolacetic acid, during the germination process because after applying the product, part concentrated in the seeds and it is the latter which will weaken the embryo without destroying it, unlike paraquat dichloride 240 g a.i. ha–1 glufosinate ammonium 400 g a.i. ha–1 that do not accumulate the seeds pre-harvest treatment.

Planting dates reflect varietal unsuitability under different climatic conditions. However in the first planting date, the plant has not had to get a good distribution of rainfall, rainfall was low at the beginning of culture, then high during the flowering phase and pod development. Unlike the second date where climatic conditions were favorable compared to almost water needs and finally to late sowing, cultivation is not fully covered its water needs during the growing season as the number of rainy days was insignificant. Opinion supported by Green et al.21 which highlighted the impact of ecological conditions as a factor limiting the productivity of crops that usually leads to lower productivity because the plant must first allocate resources for survival. As to the latter date, it has established a significant decrease in the amount of rainfall during the development phase, the results of the essay led by Mick et al.22 emphasized the negative effect of water stress during the development phase of the common bean production parameters whose effects are characterized by a lower yield seeds.

Although, the bean and cowpea belong to the same botanical family, it should be noted that planting dates to maximize seed yield remain different. This being true basis of the study conducted under our climatic conditions by Yannick et al.23 that showed increased seed yield at the optimum date (30th December), unlike the seedlings occurred at (15th December) and (15th January). This is justified by the significant term of cowpea growing season compared common bean culture.

Furthermore, in addition to sowing dates aspect24 revealed the existence of certain common bean genotypes whose productivity is independent of sowing moments. Then completed by Ngueguim et al.25 who showed that the effect of the date on the type of growth habit in the same genus and species to which early sowing suits to voluble varieties. This argument goes along the same lines as that emitted by Dutta26 which is early sowing in the rainy season start is better suited to long vegetative cycle crops for maximum exposure time promoting into production timely: Case of Helianthus annuus L.

Indeed, the weed flora was affected by sowing dates not by active ingredient used for pre-sowing. Cultivated fields are much invaded by therophytes. This lets see from flora inventoried before opening the field. According Mick et al.27 it has been observed in various biological types bean pure culture in varying proportions: The therophytes 66.66%, geophytic 12.5%, chamaephytes hemicryptophytes 8.33% and finally the nanophanérophytes 4.16%.

Therefore, it established a link between the arrival of the rains and the spontaneous emergence of seeds seed bank to explain the weed density for different planting dates. The results of the study conducted by Rasmussen28 cultured winter wheat sowing reported that coinciding with the rains return facilitates the lifting of many seeds including seed bed was arranged by unintentionally tillage and further, they are depleted gradually as the rains fall as the synchronous lifting remains thus varying degrees of seed dormancy.

The results of this study are consistent with those obtained by Dimitrios et al.29 noting that the weed density is generally high in case of heavy rainfall during a particular period and vice versa.

However in legumes, it is not preferable to observe a strong weed infestation before the development phase. This would explain to some extent the variability in yields caused by sowing dates because according Felton30 the number of nodules culture is positively correlated with the density of weeds and it becomes much more complicated with weeds high power competitor facing the crop. For this study, the remarkable invasion of Ageratum conyzoides, Ageratum houstonianum and Spilanthes acmella could be explained above all by seed production of the previous season. This argument joined one issued for the cultivation of lens where it was emphasized a heavy infestation of culture by Asteraceae following the massive seed production associated with anemophilous dispersion mode and to some extent the potential allopathic of Ageratum conyzoides and Ageratum houstonianum whose effects are reflected in other habitat plants31.

The removal of seeds from seed bank in the soil is characterized by a staggering as a species, there is a genotypic heterogeneity of seeds related to the period maturation and position on the mother plant32. In contrast the presence in the soil of the active bud Cyperus rotundus gives it the ability to quickly invade the field and that there are also conditions associated with heat and sunlight. Without eradication measures in a growing season a foot could produce 10-30 million tubers per hectare33.

Glyphosate in pre-sowing treatment whatever the dose applied, failed to induce effects on the weed flora or influence the growth parameters and production culture this would be attributed to the soil type of the experimental site whose chemical characteristics being poor.

Previous studies have had to explain the ground after spraying herbicide relationship to understand the degradation processes which may result depending on the case either efficiency or inefficiency of the active ingredient. According to Andreu and Pico34 and Sebiomo et al.35 once arrived at the ground the herbicide will be adsorbed to the surface of soil colloids whose mobility depends on the organic content, type and quantity of clay because of poor soil organic matter glyphosate degrades rapidly, given its weak adsorption to soil colloids there could be a leaching and/or percolation14,17. The absence of glyphosate effects was observed in barley forage crop driving on a sandy-loam soil, argiustoll types: pH 5.7, 1.7% organic matter36.

CONCLUSION


The results of this study show that the sowing date remains a determining factor in increasing the productivity of culture and weed infestation, but it should be noted that the variety used adapts better when intervening early on 5th February for which it was observed the highest grain yield and this would be favorable ecological conditions that prevailed during the different phenological phases of culture, unlike the other two dates.

However, application of glyphosate in pre-sowing on a strongly altered soil needs improvement prior chemical properties by the contribution of well-decomposed organic soil. This to improve its adsorption to soil colloids and may limit its rapid degradation. Although, weed was influenced only by planting dates and whose pressure increased with increased rains, it should be noted that four species: Ageratum conyzoides, Ageratum houstonianum and Spilanthes acmella proved resistant to both glyphosate doses and sowing dates.

SIGNIFICANCE STATEMENT


A large literature exists on the fact that weeds are a major threat to crops. Various control methods exist despite their very high cost or their inefficiency. In this study it is to verify the effectiveness of good sowing date and the contribution of glyphosate in weed management.

REFERENCES


  1. Baudoin, J.P., 2001. [Contribution of plant genetic resources to varietal selection of tropical food legumes]. Biotechnologie Agronomie Societe Environnement, 5: 221-230, (In French).
    Direct Link

  2. Silue, S., 2009. Genetical mechanisms of Phaseolus embryogenesis and application in interspecific hybridization. Ph.D. Thesis, University of Gembloux, Belgium.

  3. Knezevic, S.Z., S.P. Evans, E.E. Blankenship, R.C. van Acker and J.L. Lindquist, 2002. Critical period for weed control: The concept and data analysis. Weed Sci., 50: 773-786.
    CrossRefDirect Link

  4. Dogan, M.N., A. Unay, O. Boz and F. Albay, 2004. Determination of optimum weed control timing in maize (Zea mays L.). Turk. J. Agric. For., 28: 349-354.
    Direct Link

  5. Gursoy, S. and C. Ozaslan, 2014. Weed population dynamics and control in conservation tillage systems. Persian Gulf Crop Prot., 3: 63-74.
    Direct Link

  6. Toure, A., I.J. Ipou, Y.C.Y. Adou, M.K.N. Boraud and E.K. N'Guessan, 2008. Floristic diversity and degree of infestation by weeds agro ecosystems surrounding the classified forest Sanaimbo in Central-Eastern Cote d'Ivoire. Afr. Agric., 20: 13-22, (In French).

  7. Da Costa, D.S., R.M. Barbosa and M.E. de Sa, 2013. Weed management and its relation to yield and seed physiological potential in common bean cultivars. Pesquisa Agropecuaria Trop., 43: 147-154.
    CrossRefDirect Link

  8. Ghamari, H. and A. Goudarz, 2013. Growth analysis of dry bean (Phaseolus vulgaris L.) in different weed interference situations. Notulae Sci. Biol., 5: 394-399.
    Direct Link

  9. Kimuni, L.N., I.T. Hugues, E.M. Musaya, A.E. Okese and M.A. Lukangila et al., 2014. [Influence of fertilization based on recycled human waste, mineral fertilizers and their combination on the behavior of three varieties of maize (Zea mays L.)]. J. Applied Biosci., 77: 6500-6508, (In French).
    Direct Link

  10. Kasongo, L.E., 2009. Land multiscale assessment system for determining the impact of farm management on food security Katanga (Dem. Rep. of Congo). Ph.D. Thesis, University of Gent, Belgium Ask.

  11. Malaisse, F., 1984. Structure d'une foret dense seche Zambezienne des environs de Lubumbashi (Zaire). Bull. Soc. R. Bot. Belgique, 117: 428-458.
    Direct Link

  12. Assani, A.A., 1999. Variabilite temporelle et persistance des episodes secs en saison des pluies a Lubumbashi (Congo-Kinshasa). Secheresse, 10: 45-53.
    Direct Link

  13. Mpundu, M.M., 2010. [Soil contamination in traces metal elements in Lubumbashi (Katanga/DR Congo). Evaluation of the risk of contamination of the food chain and choice of remediation solutions]. Ph.D. Thesis, University of Lubumbashi, DR Congo, (In French).

  14. Mamy, L., 2004. Comparaison des impacts environnementaux des herbicides a large spectre et des herbicides selectifs: Caracterisation de leur devenir dans le sol et modelisation. Ph.D. Thesis, Institut National Agronomique Paris-Grignon, France.

  15. Sadegh, R., N.A. Sajedi and G. Masoud, 2013. Effects of time cultivation and weeds control methods on yield and yield components of Red bean (Phaseolus calcaratus L.). Int. J. Agric. Crop Sci., 5: 2795-2803.
    Direct Link

  16. Raveneau, M.P., 2012. Effet des vitesses de dessiccation de la graine et des basses temperatures sur la germination du poids proteagineux. Ph.D. Thesis, University of Angers, Pays Bas, pp: 20-138.

  17. Mick, A.B.L., M. Alal, E.O. Augustin, M. Munung, I.T. Meschac and K.L. Antoine, 2014. [The combination of mineral fertilizer and herbicide on Ferralsol is it an alternative to increase the yield of common bean (Phaseolus vulgaris L.) by weed management in Lubumbashi, DR Congo?]. Int. J. Innov. Applied Stud., 9: 1765-1772, (In French).
    Direct Link

  18. Kamble, S.I., 2006. Effect of herbicide glyphosate on seed germination and early seedling growth of Hibiscus cannabinus Linn. Biosci. Biotechnol. Res. Asia, 3: 463-466.

  19. Pinto, M.A.B., C.J. Basso, S.M. Kulczynski and C. Belle, 2014. Productivity and physiological quality of seeds with burn down herbicides at the pre harvest of bean crops. J. Seed Sci., 36: 384-391.
    CrossRefDirect Link

  20. Duke, S.O., K.N. Reddy, K. Bu and J.V. Cizdziel, 2012. Effects of glyphosate on the mineral content of glyphosate-resistant soybeans (Glycine max). J. Agric. Food Chem., 60: 6764-6771.
    CrossRefDirect Link

  21. Green, C.F., G.A. Paulson and J.D. Ivins, 1985. Time of sowing and the development of winter wheat. J. Agric. Sci., 105: 217-221.
    Direct Link

  22. Mick, A.B.L., B.A. Bibich, M. Alal, E.O. Augustin and I.T. Meschac et al., 2015. [Impacts of two methods of weeding in the protection and production of three varieties of common bean (Phaseolus vulgaris L.) grown in Lubumbashi, DR Congo]. Int. J. Innov. Scient. Res., 14: 62-69, (In French).
    Direct Link

  23. Yannick, U.S., M. Kidiata, K.A.K. Patrick, N.K. Luciens and B.L. Louis, 2014. [Effects of planting dates and spacing on growth and yield of cowpea (Vigna unguiculata L. Walp) in Lubumbashi, DR Congo]. Int. J. Innov. Applied Stud., 6: 40-47, (In French).
    Direct Link

  24. Sharma, A., G.D. Sharma, Y. Singh, M. Sharma, V. Katoch and K.C. Sharma, 2013. Optimum sowing dates and varieties for seed productivity of pole Frenchbean (Phaseolus vulgaris L.) under North Western Himalayas. Afr. J. Agric. Res., 8: 6196-6201.
    Direct Link

  25. Ngueguim, M., T. Mekontchou, M. Fobasso and L. Nounamo, 2011. Influence of time of planting on yield and grain quality of bean genotypes grown on an andosol in the Western highlands of Cameroon. Afr. Crop Sci. J., 19: 247-254.
    Direct Link

  26. Dutta, A., 2011. Effects of sowing dates on yield and yield components of hybrid sunflower (Helianthus annuus L.) in non traditional areas of West Bengal. J. Crop Weed, 7: 226-228.
    Direct Link

  27. Mick, A.B.L., M. Alal, E.O. Augustin, I.T. Meschac, I.M. Maki, K.K. Karine and K.L. Antoine, 2015. [Inventory of weeds associated with common bean culture (Phaseolus vulgaris) as a guide in a weeding program-farm in the hinterland of Lubumbashi DR Congo]. Int. J. Innov. Applied Stud., 10: 678-686, (In French).
    Direct Link

  28. Rasmussen, I.A., 2004. The effect of sowing date, stale seedbed, row width and mechanical weed control on weeds and yields of organic winter wheat. Eur. Weed Res. Soc., 44: 12-20.
    CrossRefDirect Link

  29. Dimitrios, B., K. Anestis, D. Savvas, C.K. Kontopoulou and A. Efthimiadou, 2014. Effects of fertilization and salinity on weed flora in common bean (Phaseolus vulgaris L.) grown following organic or conventional cultural practices. Aust. J. Crop Sci., 8: 178-182.
    Direct Link

  30. Felton, W.L., 1976. The influence of row spacing and plant population on the effect of weed competition in soybeans. Weed Sci., 16: 926-931.
    CrossRefDirect Link

  31. Talukdar, D., 2013. Floristic compositions and diversity of weed taxa in lentil (Lens culinnaris Medik.) fields. Bull. Environ. Pharmacol. Life Sci., 2: 33-39.
    Direct Link

  32. Jauzein, P., 1986. Echelonnement et periodicite des levees de mauvaises herbes. Bull. Soc. Botanique France, 2: 155-166.
    CrossRefDirect Link

  33. Stoller, E.W. and R.D. Sweet, 1987. Biology and life cycle of purple and yellow nutsedges (Cyperus rotundus and C. esculentus). Weed Technol., 1: 66-73.
    Direct Link

  34. Andreu, V. and Y. Pico, 2004. Determination of pesticides and their degradation products in soil: Critical review and comparison of methods. TrAC Trends Anal. Chem., 23: 772-789.
    CrossRefDirect Link

  35. Sebiomo, A., V.W. Ogundero and S.A. Bankole, 2012. The impact of four herbicides on soil minerals. Res. J. Environ. Earth Sci., 4: 617-624.
    Direct Link

  36. Lenssen, A.W., 2008. Planting date and preplant weed management influence yield, water use and weed seed production in herbicide-free forage barley. Weed Techol., 22: 486-492.
    CrossRefDirect Link

Leave a Comment


Your email address will not be published. Required fields are marked *

Useful Links

  • Journals
  • For Authors
  • For Referees
  • For Librarian
  • For Socities

Contact Us

Office Number 1128,
Tamani Arts Building,
Business Bay,
Deira, Dubai, UAE

Phone: +971 507 888 742
Email: [email protected]

About Science Alert

Science Alert is a technology platform and service provider for scholarly publishers, helping them to publish and distribute their content online. We provide a range of services, including hosting, design, and digital marketing, as well as analytics and other tools to help publishers understand their audience and optimize their content. Science Alert works with a wide variety of publishers, including academic societies, universities, and commercial publishers.

Follow Us
© Copyright Science Alert. All Rights Reserved