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A novel parent selection strategy for the development of drought-tolerant cotton cultivars

Published online by Cambridge University Press:  07 June 2021

Waqas Shafqat Chattha Open the ORCID record for Waqas Shafqat Chattha [Opens in a new window] ,
Hafiz Basheer Ahmad ,
Muhammad Awais Farooq Open the ORCID record for Muhammad Awais Farooq [Opens in a new window] ,
Waqar Shafqat ,
Muhammad Yaseen ,
Muhammad Zahid Ihsan ,
Fahad Alghabari  and
Saleh Mahdi Alzamanan
Waqas Shafqat Chattha*
Affiliation:
Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
Hafiz Basheer Ahmad
Affiliation:
Sugarcane Research Institute, Ayub Agricultural Research Institute, Faisalabad, Pakistan
Muhammad Awais Farooq
Affiliation:
Department of Plant Breeding and Genetics, University of Agriculture, Faisalabad, Pakistan
Waqar Shafqat
Affiliation:
University of Florida, Institute of Food and Agricultural Sciences, Horticultural Sciences Department, Indian River Research and Education Center, 2199 South Rock Road, Fort Pierce, FL34945, USA
Muhammad Yaseen
Affiliation:
Department of Mathematics and Statistics, University of Agriculture, Faisalabad, Pakistan
Muhammad Zahid Ihsan
Affiliation:
Cholistan Institute of Desert Studies, The Islamia University of Bahawalpur, Bahawalpur63100, Pakistan
Fahad Alghabari
Affiliation:
Department of Arid Land Agriculture, King Abdulaziz University Jeddah, Jeddah, Saudi Arabia
Saleh Mahdi Alzamanan
Affiliation:
Department of Arid Land Agriculture, King Abdulaziz University Jeddah, Jeddah, Saudi Arabia
*
*Corresponding author. E-mail: [email protected]
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Abstract

Drought is a devastating factor for crop production worldwide. Therefore, an experiment was conducted to study genetics for some agro-physiological traits in cotton under drought stress. The 13 parental cotton genotypes along with their 30 F1 hybrids were planted under normal and drought conditions. The mean performance of the genotypes was assessed through principal component and heat map analyses. The principal component analyses revealed 53.99 and 53.15% in the first two principal components of variability for normal and drought conditions, respectively. Heat map analysis revealed that three cotton genotypes i.e. FH-207 × NS-131, FH-207 × KZ-191 and S-15 × AA-703 attained higher values for all the traits except for canopy temperature under drought conditions. These crosses may proliferate to further filial generations to identify transgressive segregates for drought tolerance. The heritable differences of F̅1 and mid-parent showed dominance and non-additive gene action under drought conditions. Heritable differences between F̅1 and P̅1 showed over dominance and partial dominance under drought conditions. Heritable differences between F̅1 and P̅2 indicated negative over dominance and partial dominance for all traits under drought conditions. Proline contents and the bolls per plant showed high heritability and genetic advance through additive gene action. Therefore, these two traits can be used as a means of selection in future breeding programmes of drought tolerance.

Keywords

additive variancedominance variancedroughtGossypium hirsutum Lheritable differencesphysiological traits
Type
Research Article
Information
Plant Genetic Resources , Volume 19 , Issue 4 , August 2021 , pp. 299 - 307
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press on behalf of NIAB

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References

Abdelraheem, A, Esmaeili, N, O'Connell, M and Zhang, J (2019) Progress and perspective on drought and salt stress tolerance in cotton. Industrial Crops and Products 130: 118–129.CrossRefGoogle Scholar
Allard, RW (1960). Principles of Plant Breeding, 1st edn., New York: John Wiley and Sons Inc., pp. 213–218.Google Scholar
Al-Naggar, AMM, El-Salam, R, Badran, AEE, Boulos, ST and El-Moghazi, M (2018) Heritability and genetic advance from selection for morphological, biochemical and anatomical traits of Chenopodium quinoa under water stress. Bionature 38: 66–85.Google Scholar
Baghalian, K, Abdoshah, S, Khalighi-Sigaroodi, F and Paknejad, F (2011) Physiological and phytochemical response to drought stress of German chamomile (Matricaria recutita L.). Plant Physiology and Biochemistry 49: 201–207.CrossRefGoogle Scholar
Bai, X, Dai, L, Sun, H, Chen, M and Sun, Y (2019) Effects of moderate soil salinity on osmotic adjustment and energy strategy in soybean under drought stress. Plant Physiology and Biochemistry 139: 307–313.CrossRefGoogle ScholarPubMed
Banks, JM (2018) Chlorophyll fluorescence as a tool to identify drought stress in Acer genotypes. Environmental and Experimental Botany 155: 118–127.CrossRefGoogle Scholar
Bates, LS, Waldren, RP and Teare, ID (1973) Rapid determination of free proline for water-stress studies. Plant and Soil 39: 205–207.CrossRefGoogle Scholar
Blum, A (2017) Osmotic adjustment is a prime drought stress adaptive engine in support of plant production. Plant, Cell & Environment 40: 4–10.CrossRefGoogle ScholarPubMed
Chattha, WS, Muhammad, I, Amir, S, Akram, HM, Khan, MA, Muhammad, N and Sohail, K (2019) Genetic analysis for some agro-physiological traits to improve drought tolerance in cotton. International Journal of Agriculture and Biology 22: 355–362.Google Scholar
Dahab, A, Elhag, B, Husnain, T and Muhammad, S (2012) Variability for drought tolerance in cotton (Gossypium Hirsutum L.) for growth and productivity traits using selection index. African Journal of Agricultural Research 7: 4934–4942.Google Scholar
de Melo, HF, de Souza, ER, de Almeida, BG and Mulas, M (2018) Water potential in soil and Atriplex nummularia (phytoremediator halophyte) under drought and salt stresses. International Journal of Phytoremediation 20: 249–255.CrossRefGoogle ScholarPubMed
Dunn, RJH, Stanitski, DM, Gobron, N and Willett, KM (2020) Global climate state of the climate in 2019. Bulletin of the American Meteorological Society 101: S9–S127.CrossRefGoogle Scholar
Fahad, S, Bajwa, AA, Nazir, U, Anjum, SA, Farooq, A, Zohaib, A, Sadia, S, Nasim, W, Adkins, S, Saud, S and Ihsan, MZ (2017) Crop production under drought and heat stress: plant responses and management options. Frontiers in Plant Science 8: 1147.CrossRefGoogle ScholarPubMed
Gao, M, Snider, JL, Bai, H, Hu, W, Wang, R, Meng, Y, Wang, Y, Chen, B and Zhou, Z (2020) Drought effects on cotton (Gossypium hirsutum L.) fibre quality and fibre sucrose metabolism during the flowering and boll-formation period. Journal of Agronomy and Crop Science 206: 309–321.CrossRefGoogle Scholar
Hopkins, WG (1999) Introduction to Plant Physiology, 2nd edn. New York: John Wiley and Sons.Google Scholar
Hu, W, Snider, JL, Wang, H, Zhou, Z, Chastain, DR, Whitaker, J, Perry, CD and Bourland, FM (2018) Water-induced variation in yield and quality can be explained by altered yield component contributions in field-grown cotton. Field Crops Research 224: 139–147.CrossRefGoogle Scholar
Jitender, SP, Verma, N and Bhusal, N (2014) Genetic variability and heritability for seed yield and water use efficiency related characters in clusterbean [Cyamopsis tetragonoloba (L.) Taub.]. Forage Research 39: 170–174.Google Scholar
Johnson, HW, Robinson, HF and Comstock, RE (1955) Estimates of genetic and environmental variability in soybeans. Agronomy Journal 47: 314–318.CrossRefGoogle Scholar
Kaur, R, Saxena, VK and Malhi, NS (2010) Combining ability for heat tolerance traits in spring maize [Zea mays L.]. Maydica 55: 195–199.Google Scholar
Khan, N, Azhar, FM, Khan, AA and Ahmad, R (2014) Measurement of canopy temperature for heat tolerance in upland cotton: variability and its genetic basis. Pakistan Journal of Agricultural Sciences 51: 359–365.Google Scholar
Liu, YH, Xu, Y, Zhang, M, Cui, Y, Sze, SH, Smith, CW, Xu, S and Zhang, HB (2020) Accurate prediction of a quantitative trait using the genes controlling the trait for gene-based breeding in cotton. Frontiers in Plant Science 11: 1731.CrossRefGoogle ScholarPubMed
Lowry, OH, Rosebrough, NJ, Farr, AL and Randall, RJ (1951) Protein measurement with the folin phenol reagent. Journal of Biological Chemistry 193: 265–275.CrossRefGoogle ScholarPubMed
Mahdy, EES, Ahmed, AAE, Abdel-Zaher, GH, Sayed, M and Husein, M (2017) Genetic analysis of seed cotton yield and its attributes under early and late plantings. Egyptian Journal of Agronomy 39: 307–320.CrossRefGoogle Scholar
Martínez-Vilalta, J and Garcia-Forner, N (2017) Water potential regulation, stomatal behaviour and hydraulic transport under drought: deconstructing the iso/anisohydric concept. Plant, Cell & Environment 40: 962–976.CrossRefGoogle ScholarPubMed
Meeks, CD, Snider, JL, Babb-Hartman, ME and Barnes, TL (2019) Evaluating the mechanisms of photosynthetic inhibition under growth-limiting, early-season water deficit stress in cotton. Crop Science 59: 1144–1154.CrossRefGoogle Scholar
Meredith, WR Jr and Bridge, RR (1972) Heterosis and gene action in cotton, Gossypium hirsutum L. Crop Science 12: 304–310.CrossRefGoogle Scholar
Rahman, M, Ullah, I, Ashraf, M, Stewart, JM and Zafar, Y (2008) Genotypic variation for drought tolerance in cotton. Agronomy for Sustainable Development 28: 439–447.CrossRefGoogle Scholar
Riaz, B, Saeed, A, Fiaz, S and Riaz, A (2019) Genetic diversity among Bt cotton (Gossypium hirsutum L.) germplasm assessed through morphological and within boll yield attributes. Journal of Animal and Plant Sciences 29: 226–231.Google Scholar
Sarwar, G, Baber, M, Hussain, N, Khan, IA, Naeem, M, Amanullah, M and Khan, AA (2011) Genetic dissection of yield and its components in upland cotton (Gossypium hirsutum L.). African Journal of Agricultural Research 6: 2527–2531.Google Scholar
Scholander, PF, Hammel, HT, Hemmingsen, EA and Bradstreet, ED (1964) Hydrostatic pressure and osmotic potential in leaves of mangroves and some other plants. Proceedings of the National Academy of Sciences of the United States of America 52: 119–125.CrossRefGoogle ScholarPubMed
Shafqat, W, Jaskani, MJ, Maqbool, R, Khan, AS and Ali, Z (2019) Evaluation of citrus rootstocks against drought, heat and their combined stress based on growth and photosynthetic pigments. International Journal of Agriculture and Biology 22: 1001–1009.Google Scholar
Shafqat, W, Jaskani, MJ, Maqbool, R, Chattha, WS, Ali, Z, Naqvi, SA, Haider, MS, Khan, IA and Vincent, CI (2021) Heat shock protein and aquaporin expression enhance water conserving behavior of citrus under water deficits and high temperature conditions. Environmental and Experimental Botany 181: 104270.CrossRefGoogle Scholar
Sharma, JR (1994) Principles and Practice of Plant Breeding. Tata Mcgraw Hill Publishing Company Limited, New Delhi, India.Google Scholar
Singh, CK, Chhabra, G, Ndiaye, MA, Garcia-Peterson, LM, Mack, NJ and Ahmad, N (2018) The role of sirtuins in antioxidant and redox signaling. Antioxidants & Redox Signaling 28: 643–661.CrossRefGoogle ScholarPubMed
Townsend, T (2020) 1B - World natural fibre production and employment. In Kozłowski, RM & Mackiewicz-Talarczyk, M (eds.), Handbook of Natural Fibres, 2nd edn. Woodhead Publishing, USA, pp. 15–36.CrossRefGoogle Scholar
Wang, R, Ji, S, Zhang, P, Meng, Y, Wang, Y, Chen, B and Zhou, Z (2016) Drought effects on cotton yield and fiber quality on different fruiting branches. Crop Science 56: 1265–1276.CrossRefGoogle Scholar
Yar, MM, Iqbal, M, Mehmood, A and Naeem, M (2020) Estimation of heritability and genetic advance to develop drought tolerance in cotton (Gossypium hirsutum L.). Applied Ecology and Environmental Research 18: 4309–4323.CrossRefGoogle Scholar
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