Biomass yield and growth allometry of some crops growing under weed stress

##plugins.themes.bootstrap3.article.main##

SAIRA QADIR
AFSHEEN KHAN
IRAM US SALAM

Abstract

Abstract. Qadir S, Khan A, Salam IU. 2020. Biomass yield and growth allometry of some crops growing under weed stress. Biodiversitas 21: 5621-5629. The conventional approach in crop science generally focuses on nutritional yield of crops. Crop yield is basically ranked by its photosynthetic efficiency. Hence the higher reserves of photosynthetic products are achieved in the form of biomass. Current study explains the gain and loss in biomass of five different crops viz, Zea mays L. (maize), Hordeum vulgare L. (barley), Cicer arietinum L. (chickpea), Pisum sativum L. (pea) and Phaseolus vulgaris L. (French beans) treated by weed manure of Portulaca oleracea L., Euphorbia hirta L. and Amaranthus viridis L. at 5%, 10% and 15% concentration. The inhibitory effects of the given weeds persist with significant (p < 0.5) differences in the biomass of tested crops. Absolute growth rate (AGR), relative growth rate (RGR) and carbon content are highest (29.43 mg day-1, 2.43 mg gm-1day-1 and 15.25% respectively) in Chickpea plants induced by 5% P. oleracea extract. The highest inhibition recorded in Pea plants induced by 15% of A. viridis extract with 8.33 mg day-1, 1.42 mg gm-1day-1 and 4.67% of AGR, RGR and carbon yield respectively. Inhibition rate of weeds on leaf growth indices also exists in the same order i.e., the highest in A. viridis and the lowest in P. oleracea. Therefore, it is concluded that A. viridis has produced the highest level of inhibition among the three weeds while Pea species is the most sensitive crop species among the five tested crops.

##plugins.themes.bootstrap3.article.details##

References
Abbas T, Tanveer A, Khaliq A, Safdar ME, Nadeem MA. 2014. Allelopathic effects of aquatic weeds on germination and seedling growth of wheat. Herb. 14 (2): 11-25 DOI: 10.5644/Herb.14.2.02


Amaral CL, Pavan GB, Pereira FCM, Alves PLDCA. 2018. Periods of weed interference in chickpea grown under different doses of nitrogen fertilizer topdressing. Acta Scientiarum. Agronomy 40: 1807-8621 .Doi: 10.4025/actasciagron.v40i1.35666

Asad M, Khan A, Jahan B. 2020. Variation in biomass production of sunflower (Helianthus annuus) plants under the influence of Lemongrass (Cymbopogon erectus) extract. Turkish Journal of Biodiversity 3(2): 54-59. https://doi.org/10.38059/biodiversity.729081

Biere A. 1987. Ecological significance of size variation within populations. In: van Andel J, Bakker JP, Snaydon RW, eds. Disturbance in grasslands. Dordrecht: Junk Publishers 253-63. DOI: jstor.org/stable/23695418

Blackman VH. 1919. The compound interest law and plant growth. Annals of Botany 33: 353–360
doi.org/10.1093/oxfordjournals.aob.a089727

Causton DR, Venus JC. 1981. The Biometry of Plant Growth. Edward Arnold, London. Design and computational methods. Journal of Experimental Botany. 47 (302): 1343

Dafaallah AB, Yousif MH, Abdelrhman AO. 2019. Allelopathic Effects of Pigweed (Amaranthus viridis L.) on Seed Germination and Seedling Growth of some Leguminous Crops. IJIAAR. 3(4): 566-577  DOI: https://doi.org/10.29329/ijiaar.2019.217.3   

El-Rokiek KG, Abdelhamid MT, El-Din SS. 2013. Physiological response of purslane weed (Portulaca oleracea) and two common beans (Phaseolus vulgaris) recombinant inbred lines to Phosphorus fertilizer and bentazon herbicide. Journal of Applied Sciences Research 9(4): 2743-2749.

Evans, G. C. (1972). The quantitative analysis of plant growth . Univ of California Press.
(1): 734
Hood EE, Teoh K, Devaiah SP, Requesens DV. 2012. Biomass Crops for Biofuels and Bio-based Products. In: Meyers R.A. (eds) Encyclopedia of Sustainability Science and Technology. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-0851-3_170

Inderjit. 2001. Environmental effect on allelochemical activity. Agronomy Journal. 93: 79–84.

Iqbal Z, Hussain I, Hussain A, Ashraf MY. 2003. Genetic variability to essential oil contents and composition in five species of Eucalyptus. Pakistan Journal Botany 35(5): 843-852.

Ketterings QM, Coe R, van Noordwijk M, Ambagau Y, Palm CA. 2001. Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management 146(1-3):199-209.

Khan A, Ahmed M, Ahmed F, Saeed R, Siddiqui F. 2020. Vegetation of highly disturbed conifer forests around Murree, Pakistan. Turkish Journal of Biodiversity 3(2): 43-53. https://doi.org/10.38059/biodiversity.708154.

Kumar N, Yadav A. 2018. Role of Pulses in Improving Soil Quality and Enhancing Resource Use Efficiency. : Today & Tomorrow’s Printers and Publishers, India. 2: 547-561

Lal R. 2004. Soil carbon sequestration impacts on global climate change and food security. Science 304: 1623-1627.

Li G, Liu C, Yu Z, Rao M, Zhong Q, Zhang Y, Jiang T. 2018. Energy saving of composite agglomeration process (CAP) by optimized distribution of pelletized feed. Energies 11: 2382.

Paine CET, Harms, KE, Schnitzer SA, Carson WP. 2008. Weak competition among tropical tree seedlings: implications for species coexistence. Biotropica 40: 432–440.

Poorter H, Van der Werf A. 1998. Is inherent variation in RGR determined by LAR at low irradiance and by NAR at high irradiance? A review of herbaceous species. In Inherent Variation in Plant Growth. Physiological Mechanisms and Ecological Consequences (eds Lambers H, Poorter H, Van Vuuren MMI), Backhuys Publishers, Leiden. 309–336

Poorter H, Garnier E. 1996. Plant growth analysis: an evaluation of experimental design and computational methods. Journal of Experimental Botany 47(302): 1343-1351, https://doi.org/10.1093/jxb/47.9.1343


Poorter H, Anten NPR, Marcelis LFM. 2013. Physiological mechanisms in plant growth models: do we need a supra-cellular systems biology approach? Plant, Cell and Environment 36, 1673–1690. https://doi.org/10.1111/pce.12123

Rajput BS, Bhardwaj DR, Pala NA. 2017. Factors influencing biomass and carbon storage potential of different land use systems along an elevational gradient in temperate northwestern Himalaya. Agroforest Systems 91: 479–486. doi.org/10.1007/s10457-016-9948-5

Shaukat SS, Siddiqui IA. 2001. Lantana camara in the soil changes the fungal Community Structure and reduces impact of Meloidogyne javanica on Mungbean. Phytopathology Mediterranean. 40: 245-252.

Slob W. 1987. Strategies in applying statistics in ecological research. PhD thesis, Free University, Amsterdam.

Tanveer A, Khaliq A, Javaid MM, Chaudhry MN, Awan I. 2013. Implications of weeds of genus euphorbia for crop production: a review. Planta Daninha 31(3): 723-731..doi.org/10.1590/S0100-83582013000300024 


Thomas SC, Martin AR. 2012. Carbon content of tree tissues: A synthesis. Forests 3(2):332-352. ; https://doi.org/10.3390/f3020332

Usuda H. 2004. Evaluation of the Effect of Photosynthesis on Biomass Production with Simultaneous Analysis of Growth and Continuous Monitoring of CO2 Exchange in the Whole Plants of Radish, cv Kosena under Ambient and Elevated CO2. Plant Production Science 7(4): 386-396.I doi.org/10.1626/pps.7.386

Weiner J, Thomas SC. 1986. Size variability and competition in plant monocultures. Oikos 47, 211-22.
Wu, F.Z., Pan, K., Ma, F.M.., Wang, X.D. (2004). Effects of cinnamic acid on photosynthesis and cell ultrastructure of cucumber seedlings. Acta Horticulture Sinica 31, 183–188 DOI: 10.2307/3566048

Zohaib A, Tabassum T, Anjum SA, Abbas T, Nazir U. 2017. Allelopathic Effect of Some Associated Weeds of Wheat on Germinability and Biomass Production of Wheat Seedlings. Planta Daninha 35: 1806-9681. https://doi.org/10.1590/s0100-83582017350100089..