Predictive models of drought tolerance indices based on physiological, morphological and biochemical markers for the selection of cotton (Gossypium hirsutum L.) varieties

Journal of Integrative Agriculture - Tập 21 - Trang 1310-1320 - 2022
Yeison M QUEVEDO1, Liz P MORENO2, Eduardo BARRAGÁN1
1Colombian Corporation for Agricultural Research, AGROSAVIA, El Espinal 733529, Colombia
2Faculty of Agricultural Sciences, National University of Colombia, Bogotá D.C 111321, Colombia

Tài liệu tham khảo

Abdelraheem, 2020, Effects of drought on agronomic and fiber quality in an introgressed backcross inbred line population of Upland cotton under field conditions, Field Crops Research, 254, 10.1016/j.fcr.2020.107850 Ahmad, 2020, Physiological screening of cotton (Gossypium hirsutum L.) genotypes against drought tolerance, Pure and Applied Biology, 9, 140 Bates, 1973, Rapid determination of free proline for water-stress studies, Plant and Soil, 39, 205, 10.1007/BF00018060 Blum, 2011, Drought resistance and its improvement, 53 de Brito, 2011, Physiological traits for drought phenotyping in cotton, Acta Scientiarum-Agronomy, 33, 117, 10.4025/actasciagron.v33i1.9839 Burbano, 2017, Introduction and development of Upland cotton cultivars in the Colombian production system: A review, Ciencia y Agricultura, 15, 29 Campuzano-Duque, 2015, Determination of attributes in cotton (Gossypium hirsutum L.) genotypes in corn-soybean rotation associated with acid amended soils in the Colombian Eastern Plains, Ciencia y Tecnología Agropecuaria, 16, 251 Chastain, 2016, Leaf ontogeny strongly influences photosynthetic tolerance to drought and high temperature in Gossypium hirsutum, Journal of Plant Physiology, 199, 18, 10.1016/j.jplph.2016.05.003 Chen, 2012, Screening of drought tolerant agronomic trait indices of colored cotton varieties (lines) in Gansu Province, Acta Agronomica Sinica, 38, 1680, 10.3724/SP.J.1006.2012.01680 Cocchi, 2018, Chapter ten-chemometric methods for classification and feature selection, 265, 10.1016/bs.coac.2018.08.006 Dubois, 1956, Colorimetric method for determination of sugars and related substances, Analytical Chemistry, 28, 350, 10.1021/ac60111a017 El-Hashash, 2018, Genetic parameters and stress tolerance index for quantitative traits in barley under different drought stress severities, Asian Journal of Research in Crop Science, 1, 1, 10.9734/AJRCS/2018/41549 Fang, 2015, General mechanisms of drought response and their application in drought resistance improvement in plants, Cellular and Molecular Life Sciences, 72, 673, 10.1007/s00018-014-1767-0 Feng, 2011, Analysis and comprehensive evaluation on principal component of relative indices of drought resistance at the seedling stage of cotton, Journal of Xinjiang Agricultural University, 34, 211 Fernández Geladi, 1986, Partial least-squares regression: A tutorial, Analytica Chimica Acta, 185, 1, 10.1016/0003-2670(86)80028-9 Grzesiak, 2019, Variation among wheat (Triticum easativum L.) genotypes in response to the drought stress: I - selection approaches, Journal of Plant Interactions, 14, 30, 10.1080/17429145.2018.1550817 Indahl, 2005, A twist to partial least squares regression, Journal of Chemometrics, 19, 32, 10.1002/cem.904 Khaleghi, 2019, Morphological, physiochemical and antioxidant responses of Maclura pomifera to drought stress, Scientific Reports, 9, 10.1038/s41598-019-55889-y Koleva, 2018, Evaluation of drought tolerance in new cotton cultivars using stress tolerance indices, AGROFOR International Journal, 3, 11 Lawson, 2018, Coordination between photosynthesis and stomatal behavior, 142 Levi, 2009, Photosynthesis of cotton near-isogenic lines introgressed with QTLs for productivity and drought related traits, Plant Science, 177, 88, 10.1016/j.plantsci.2009.04.001 Lichtenthaler, 1987, Chlorophylls and carotenoids: Pigments of photosynthetic biomembranes, Methods in Enzymology, 148, 350, 10.1016/0076-6879(87)48036-1 Meher, 2018, Effect of PEG-6000 imposed drought stress on RNA content, relative water content (RWC), and chlorophyll content in peanut leaves and roots, Saudi Journal of Biological Sciences, 25, 285, 10.1016/j.sjbs.2017.04.008 Munger, 1998, Phenological growth stages of the cotton plant (Gossypium hirsutum L.): Codification and description according to the BBCH scale, Journal of Agronomy and Crop Science, 180, 143, 10.1111/j.1439-037X.1998.tb00384.x Niu, 2018, The compensation effects of physiology and yield in cotton after drought stress, Journal of Plant Physiology, 224–225, 30, 10.1016/j.jplph.2018.03.001 Papathanasiou, 2015, The use of stress tolerance indices for the selection of tolerant inbred lines and their correspondent hybrids under normal and water-stress conditions, Procedia Environmental Sciences, 29, 274, 10.1016/j.proenv.2015.07.279 Parida, 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, 619, 10.1007/s11738-008-0157-3 Parida, 2007, Alterations in photosynthetic pigments, protein and osmotic components in cotton genotypes subjected to short-term drought stress followed by recovery, Plant Biotechnology Reports, 1, 37, 10.1007/s11816-006-0004-1 Patil, 2013, Assessment of genotypic variability for growth, biophysical parameters, yield and yield - Attributing characters under drought stress in cotton, 103 Quevedo, 2019, Identification of climatic and physiological variables associated with rice (Oryza sativa L.) yield under tropical conditions, Revista Facultad Nacional de Agronomía Medellín, 72, 8699, 10.15446/rfnam.v72n1.72076 Rich, 2013, Soil conditions and cereal root system architecture: Review and considerations for linking Darwin and Weaver, Journal of Experimental Botany, 64, 1193, 10.1093/jxb/ert043 Rosenow, 1983, Drought tolerant sorghum and cotton germplasm, Agricultural Water Management, 7, 207, 10.1016/0378-3774(83)90084-7 Rosielle, 1981, Theoretical aspect of selection for yield in stress and non-stress environment, Crop Science, 21, 943, 10.2135/cropsci1981.0011183X002100060033x Sánchez-Reinoso, 2020, Evaluation of drought indices to identify tolerant genotypes in common bean bush (Phaseolus vulgaris L.), Journal of Integrative Agriculture, 19, 99, 10.1016/S2095-3119(19)62620-1 Santos, 2014, Molecular, physiological and biochemical responses of Theobroma cacao L. genotypes to soil water deficit, PLoS ONE, 9, 10.1371/journal.pone.0115746 Saranga, 1999, Carbon isotope ratio in cotton varies with growth stage and plant organ, Plant Science, 142, 47, 10.1016/S0168-9452(99)00004-7 Schneider, 1997, Improving common bean performance under drought stress, Crop Science, 37, 43, 10.2135/cropsci1997.0011183X003700010007x Sekmen, 2014, Reactive oxygen species scavenging capacities of cotton (Gossypium hirsutum) cultivars under combined drought and heat induced oxidative stress, Environmental and Experimental Botany, 99, 141, 10.1016/j.envexpbot.2013.11.010 Shi, 2013, Identification and evaluation of drought tolerant indices of colored cotton, Crops, 29, 62 Signorelli, 2014, Molecular mechanisms for the reaction between OH radicals and proline: insights on the role as reactive oxygen species scavenger in plant stress, The Journal of Physical Chemistry, 118, 37, 10.1021/jp407773u Singh, 2016, Response of upland cotton (G. hirsutum L.) genotypes to drought stress using drought tolerance indices, Journal of Crop Science and Biotechnology, 19, 53, 10.1007/s12892-015-0073-1 Ullah, 2008, Genotypic variation for drought tolerance in cotton (Gossypium hirsutum L.): Leaf gas exchange and productivity, Flora - Morphology, Distribution, Functional Ecology of Plants, 203, 105, 10.1016/j.flora.2007.12.001 Wang, 2016, Carbon allocation, osmotic adjustment, antioxidant capacity and growth in cotton under long-term soil drought during flowering and boll-forming period, Plant Physiology and Biochemistry, 107, 137, 10.1016/j.plaphy.2016.05.035 Wang, 2016, Drought effects on cotton yield and fiber quality on different fruiting branches, Crop Science, 56, 1265, 10.2135/cropsci2015.08.0477 Wilhite, 2014, Managing drought risk in a changing climate: The role of national drought policy, Weather and Climate Extremes, 3, 4, 10.1016/j.wace.2014.01.002 Xin, 2019, Water restriction scenarios and their effects on traits in potato with different degrees of drought tolerance, Scientia Horticulturae, 256 Yakir, 1990, Effects of water stress on oxygen, hydrogen and carbon isotope ratios in two species of cotton plants, Plant Cell Environment, 13, 949, 10.1111/j.1365-3040.1990.tb01985.x Yi, 2016, Rapid recovery of photosynthetic rate following soil water deficit and re-watering in cotton plants (Gossypium herbaceum L.) is related to the stability of the photosystems, Journal of Plant Physiology, 194, 23, 10.1016/j.jplph.2016.01.016 Zahoor, 2017, Potassium improves photosynthetic tolerance to and recovery from episodic drought stress in functional leaves of cotton (Gossypium hirsutum L.), Plant Physiology and Biochemistry, 119, 21, 10.1016/j.plaphy.2017.08.011 Zangi, 2005, Correlation between drought resistance indices and cotton yield in stress and non stress conditions, Asian Journal of Plant Sciences, 4, 106, 10.3923/ajps.2005.106.108 Zhao, 2010, Effects of soil moisture on cotton root length density and yield under drip irrigation with plastic mulch in Aksu Oasis farmland, Journal of Arid Land, 2, 243 Zonta, 2017, Cotton response to water deficits at different growth stages, Revista Caatinga, 30, 980, 10.1590/1983-21252017v30n419rc Zou, 2020, Screening of drought resistance indices and evaluation of drought resistance in cotton (Gossypium hirsutum L.), Journal of Integrative Agriculture, 19, 495, 10.1016/S2095-3119(19)62696-1