Early response of the cotton (Gossypium hirsutum) genotypes against drought stress

Paper Details

Research Paper 01/02/2019
Views (815)
current_issue_feature_image
publication_file

Early response of the cotton (Gossypium hirsutum) genotypes against drought stress

Muhammad Sarmad Iftikhar, Ghulam Mohyuddin Talha, Rahil Shahzad, Shakra Jamil, Saima Jameel, Muqadas Aleem, Muhammad Zaffar Iqbal
Int. J. Biosci. 14(2), 536-543, February 2019.
Copyright Statement: Copyright 2019; The Author(s).
License: CC BY-NC 4.0

Abstract

Cotton is an important cash crop of almost all developing countries including Pakistan. It is backbone of textile industry. Cotton yields are stagnant for the last several years due to a number of factors including: lack of agronomic practices, shortage of rain, biotic and abiotic stresses. Drought stress, poses the most important constraint to plant survival and crop productivity. It is responsible for shedding of small squares on large scale, resulting in a decrease in flowering. The main objective of this study was to evaluate the response of cotton genotypes at seedlings stage against drought stress. The experiment was conducted under Randomized Complete Block Design using factorial arrangements with three replications. The treatment plant of the experiment included two factors genotype (eleven) and drought levels (control, 50% drought and 75% drought stress). After 50 days the data was recorded on the seedling parameters (root and shoot length, root and shoot fresh & dry weight, relative water contents, excised leaf water loss). It was found that DPL-70010N, DPL-2775 and A-8100 were drought tolerant in both conditions. It’s important to note, that these genotypes are non-Bt, so it can be concluded that non Bt varieties are comparatively more drought tolerant as compared to the non-Bt and this is useful information for cotton breeding programs for drought tolerance.

Ahmad RT, Malik TA, Khan IA, Jaskani MJ. 2009. Genetic analysis of some morpho-physiological traits related to drought stress in cotton (Gossypium hirsutum). International Journal of Agriculture and Biology 11, 235-240.

Ali H, Aslam M, Ali H. 2012. Economic Analysis of Input Trend in Cotton Production Process in Pakistan. Asian Economic and Financial Review 2(4), 553.

Anjum SA, Wang LC, Farooq M, Khan I, Xue LL. 2011b. Methyl jasmonate-induced alteration in lipid peroxidation, antioxidative defense system and yield in soybean under drought. Journal of Agronomy and Crop Science 197(4), 296-301.

Baffes J. 2014. Cotton: Market Setting, Trade Policies, and Issues. World Bank Policy Research Working Paper 3218. 2014.

Basal HC, Smith W, Thaxton PS, Hemphill JK. 2005. Seedling drought tolerance in upland cotton. Crop Science 45(2), 766-771.

Brunner I, Herzog C, Dawes MA, Arend M, Sperisen C. 2015. How tree roots respond to drought. Frontiers in Plant Science 6, 547.

Cakir R. 2004. Effect of water stress at different development stages on vegetative and reproductive growth of corn. Field Crops Research 89, 1-16.

Farooq M, Wahid A, Kobayashi N, Fujita D, Basra SMA. 2009. Plant drought stress: effects, mechanisms and management. Agronomy for Sustainable Development 29(1), 185-212.

Hassan HM, Azhar FM, Khan AA, Basra S, Hussain M. 2015. Characterization of Cotton (Gossypium hirsutum) Germplasm for Drought Tolerance using Seedling Traits and Molecular Markers. International Journal of Agriculture and Biology 17(6), 1213-1218.

Khalid I, Azhar FM, Khan IA. 2011. Variability for drought tolerance in cotton (Gossypium hirsutum) and its genetic basis. International Journal of Agriculture and Biology 13(1), 61-66.

Khan NU, Hassan G, Kumbhar MB, Marwat KB, Khan MA, Parveen A, Saeed M. 2009. Combining ability analysis to identify suitable parents for heterosis in seed cotton yield, its components and lint % in upland cotton. Industrial Crops and Products 29(1), 108-115.

Khodarahmpour Z. 2011. Effect of drought stress induced by polyethylene glycol on germination indices in corn (Zea mays L.) hybrids. African Journal of Biotechnology 10(79), 18222-18227.

Mahajan S, Tuteja N. 2005. Cold, salinity and drought stresses: an overview. Archives of Biochemistry and Biophysics 444(2), 139-158.

Manivannan P, Jaleel CA, Somasundaram R, Panneerselvam R. 2008. Osmoregulation and antioxidant metabolism in drought-stressed Helianthus annuus under triadimefon drenching. Comptes Rendus Biologies 331(6), 418-425.

Noorka IR, Tabasum S, Afzal M. 2013. Detection of genotypic variation in response to water stress at seedling stage in escalating selection intensity for rapid evaluation of drought tolerance in wheat breeding. Pakistan Journal of Botany 45(1), 99-104.

Parida AK, Dagaonkar VS, Phalak MS, Aurangabadkar LP. 2008. Differential responses of the enzymes involved in proline biosynthesis and degradation in drought tolerant and sensitive cotton genotypes during drought stress and recovery. Acta Physiologiae Plantarum 30(5), 619-627.

Pettigrew WT. 2004. Physiological consequences of moisture deficit stress in cotton. Crop Science 44(4), 1265-1272.

Rucker KS, Kvien CK, Holbrook CC, Hook JE. 1995. Identification of peanut genotypes with improved drought avoidance traits. Peanut Science 22(1), 14-18.

Siddique MRB, Hamid A, Islam MS. 2000. Drought stress effects on water relations of wheat. Botanical Bulletin of Academia Sinica 41, 35-39.

Singh P. 2004. Cotton Breeding, 2nd Edition. Kalyani Publishers, New Delhi India. 2004.

Snowden MC, Ritchie GL, Simao FR, Bordovsky JP. 2014. Timing of episodic drought can be critical in cotton. Agronomy Journal 106(2), 452-458.

Soomro MH, Markhand GS, Soomro BA. 2011. Screening Pakistani cotton for drought tolerance. Pakistan Journal of Botany 44(1), 383-388.

Stell R, Torrie J, Dickey D. 1980. Principles and procedures of statistics: a biometrical approach. New York: MacGraw-Hill 1980.

Yan W, Kang MS, Ma B, Woods S, Cornelius PL. 2007. GGE biplot vs. AMMI analysis of genotype-by-environment data. Crop Science 47(2), 643-653.

Yordanov I, Velikova V, Tsonev T. 2000. Plant responses to drought, acclimation, and stress tolerance. Photosynthetica 38(2), 171-186.

Related Articles

Using the chironomid index to assess the impact of human activities on some agro-pastoral dams in the Tchologo region of Northern Ivory Coast

Louis Stevens Aime, Siaka Berté, Affoué Danielle Kouamé Ouanko, Int. J. Biosci. 27(6), 25-30, December 2025.

Alpha-tomatine induces ROS-mediated mitochondrial apoptosis in laryngeal carcinoma (HEp-2) cells

Nihal Ahamed Abul Kalam Azad, Suresh Kathiresan, Theerthu Azhamuthu, Senkuttuvan Ilanchit Chenni, Pugazhendhi Ravichandran, Maharani Jaganathan, Rajeswari Vasu, Pratheeba Veerapandiyan, Int. J. Biosci. 27(6), 14-24, December 2025.

Nutritional composition, microbial quality, sensory characteristics and bioscience-based market potential of Lasam’s traditional tinupig

Florante Victor M. Balatico, John Carlo L. Banan, Bernard P. Madarang, Jr. Dominador A. Agatep, Int. J. Biosci. 27(6), 7-13, December 2025.

Modelling the current and future distribution of Okoubaka aubrevillei Pellegr. & Normand under climate change scenarios in Côte d’Ivoire

Sié Fernand Pacôme Ouattara, Franck Placide Junior Pagny, Kouassi Bruno Kpangui, Int. J. Biosci. 27(5), 237-246, November 2025.

Proximate analysis of pelleted sorghum-based feeds as substitute for corn

I. I. Juan S. Daquioag, Michael M. Uy, Int. J. Biosci. 27(5), 232-236, November 2025.

Evolution of the weight of carcasses and offal of Cobb 500 broiler chickens according to the age of slaughter

Soro Soronikpoho, Kouadio Kouakou Parfait, Kouassi Koffi Dongo, Brou Gboko Konan Gatien, Int. J. Biosci. 27(5), 225-231, November 2025.

Agronomic performance of the newly pruned coffee trees at the CSU Lal-lo old coffee plantation

Maribel L. Fernandez, Florante Victor M. Balatico, Ronel A. Collado, Int. J. Biosci. 27(5), 217-224, November 2025.