Abstract
With climate change manifested in cotton growing regions primarily as a combination of rising temperatures and prolonged periods of low rainfall, it has become critical to improve the resiliency of upland cotton (Gossypium hirsutum L.) to concurrent heat and drought stress. However, few investigations have considered the effect of this combined stress exposure on the phenotypic and genotypic correlations between important cotton traits, or on their respective heritabilities. To that end, we evaluated two upland cotton recombinant inbred line (RIL) populations under managed well-watered (WW) and water-limited (WL) irrigation regimes in the presence of high temperature across multiple environments. In both RIL populations, the broad-sense heritability for lint yield was higher under WW relative to WL conditions. The highest broad-sense heritabilities in both irrigation regimes were observed for lint percentage and fiber quality (micronaire, length, strength, uniformity, and elongation) traits. The genotypic correlations between lint yield and percentage were among the strongest values estimated, followed by a range of non-significant to moderately strong genotypic correlations between lint percentage and the five fiber quality traits in the two RIL populations. Within a RIL population, the strength and direction of between-trait phenotypic and genotypic correlations were similar for WW relative to WL conditions, although there were notable differences for them between RIL populations. Taken together, these results have the potential to benefit climate-oriented breeding programs when developing selection and testing schemes for the genetic improvement of cotton traits with a variable range of environmental stability under heat and drought stress.
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References
Aboukheir E, Sheshshayee MS, Prasad TG, Udayakumar M (2012) Cotton: Genetic improvement for drought stress tolerance—current status and research needs. In: Tuteja N, Gill SS, Tiburcio AF, Tuteja R (eds) Improving crop resistance to abiotic stress. Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, pp 1369–1400
Bernardo R (2010) Breeding for quantitative traits in plants. Stemma Press, Woodbury
Brown PW, Zeiher CA (1997) Cotton heat stress vol P-108. College of Agriculture, University of Arizona, Tucson
Burke JJ, Velten J, Oliver MJ (2004) In vitro analysis of cotton pollen germination. Agron J 96:359–368
Carmo-Silva AE, Gore MA, Andrade-Sanchez P, French AN, Hunsaker DJ, Salvucci ME (2012) Decreased CO2 availability and inactivation of Rubisco limit photosynthesis in cotton plants under heat and drought stress in the field. Environ Exp Bot 83:1–11
Chaves MM, Maroco JP, Pereira JS (2003) Understanding plant responses to drought—from genes to the whole plant. Funct Plant Biol 30:239–264
Chunlei L, Richard PA (2013) Observed and simulated precipitation responses in wet and dry regions 1850–2100. Environ Res Lett 8:034002
Dabbert TA, Gore MA (2014) Challenges and perspectives on improving heat and drought stress resilience in cotton. J Cotton Sci 18:393–409
Debat V, David P (2001) Mapping phenotypes: canalization, plasticity and developmental stability. Trends Ecol Evol 16:555–561
Dhindsa RS, Beasley CA, Ting IP (1975) Osmoregulation in cotton fiber: accumulation of potassium and malate during growth. Plant Physiol 56:394–398
Falconer DS, Mackay TFC (1996) Introduction to quantitative genetics, 4th edn. Longman, Harlow
Gilmour AR et al. (2009) ASReml user guide release 3.0 VSN International Ltd, Hemel Hempstead
Guthrie D, Watson M, Hake K (1993) The 1993 cotton crop—quality trends. Cotton Physiol Today 4:1–4
Hansen J, Sato M, Ruedy R (2012) Perception of climate change. Proc Natl Acad Sci USA 109:E2415–E2423
Hodges HF, Reddy KR, McKinnon JM, Reddy VR (1993) Temperature effects on cotton. Mississippi State University, Starkville
Holland JB (2006) Estimating genotypic correlations and their standard errors using multivariate restricted maximum likelihood estimation with SAS Proc MIXED. Crop Sci 46:642–654
Holland JB, Frey KJ, Hammond EG (2001) Correlated responses of fatty acid composition, grain quality, and agronomic traits to nine cycles of recurrent selection for increased oil content in oat. Euphytica 122:69–79
Holland JB, Nyquist WE, Cervantes-Martinez CT (2003) Estimating and interpreting heritability for plant breeding: an update. Plant Breed Rev 22:9–112
Kenward MG, Roger JH (1997) Small sample inference for fixed effects from restricted maximum likelihood. Biometrics 53:983–997
Littell RC, Milliken GA, Stroup WW, Wolfinger R (2006) SAS system for mixed models. SAS Publishing, Cary
Lobell DB, Schlenker W, Costa-Roberts J (2011) Climate trends and global crop production since 1980. Science 333:616–620
Lush J (1937) Animal breeding plans. Iowa State University Press Ames, Iowa
Lynch M, Walsh B (1998) Genetics and analysis of quantitative traits. Sinauer Associates, Sunderland
Neter J, Kutner MH, Nachtsheim CJ, Wasserman W (1996) Applied linear statistical models, 4th edn. McGraw-Hill, Boston
Oosterhuis DM, Snider JL (2011) High temperature stress on floral development and yield of cotton. In: Oosterhuis DM (ed) Stress physiology in cotton, vol 7., The Cotton Foundation Reference Book SeriesThe Cotton Foundation, Cordova, pp 1–24
Pauli D et al (2016) Field-based high-throughput plant phenotyping reveals the temporal patterns of quantitative trait loci associated with stress-responsive traits in cotton. G3: Genes|Genomes|Genetics 6:865–879
Percy RG, Cantrell RG, Zhang J (2006) Genetic variation for agronomic and fiber properties in an introgressed recombinant inbred population of cotton. Crop Sci 46:1311–1317
Pettigrew WT (2004) Moisture deficit effects on cotton lint yield, yield components, and boll distribution. Agron J 96:377–383
Pettigrew WT (2008) The effect of higher temperatures on cotton lint yield production and fiber quality. Crop Sci 48:278–285
Rahmstorf S, Coumou D (2011) Increase of extreme events in a warming world. Proc Natl Acad Sci USA 108:17905–17909
Reddy KR, Hodges HF, Reddy VR (1992) Temperature effects on cotton fruit retention. Agron J 84:26–30
Reddy KR, Davidonis GH, Johnson AS, Vinyard BT (1999) Temperature regime and carbon dioxide enrichment alter cotton boll development and fiber properties contribution. Agron J 91:851–858
Ruan Y-L, Llewellyn DJ, Furbank RT (2001) The control of single-celled cotton fiber elongation by developmentally reversible gating of plasmodesmata and coordinated expression of sucrose and K(+) transporters and expansin. Plant Cell 13:47–60
SAS Institute (2013) The SAS system for Windows. Release 9.4. SAS Institute, Cary
Schlenker W, Roberts MJ (2009) Nonlinear temperature effects indicate severe damages to U.S. crop yields under climate change. Proc Natl Acad Sci USA 106:15594–15598
Snider JL, Oosterhuis DM, Skulman BW, Kawakami EM (2009) Heat stress-induced limitations to reproductive success in Gossypium hirsutum. Physiol Plant 137:125–138
Snider JL, Oosterhuis DM, Kawakami EM (2011) Diurnal pollen tube growth rate is slowed by high temperature in field-grown Gossypium hirsutum pistils. J Plant Physiol 168:441–448
Ulloa M (2006) Heritability and correlations of agronomic and fiber traits in an okra-leaf upland cotton population. Crop Sci 46:1508–1514. doi:10.2135/cropsci2005.07-0271
Wen Y, Piccinni G, Rowland DL, Cothren JT, Leskovar DI, Kemanian AR, Woodard JD (2013) Lint yield, lint quality, and economic returns of cotton production under traditional and regulated deficit irrigation schemes in Southwest Texas. J Cotton Sci 17:10–22
Acknowledgements
This research was supported by Monsanto (TAD), Cotton Incorporated Fellowship (DP) and Core Project Funds (MAG), Cornell University startup funds (MAG), and National Science Foundation IOS-1238187 (MAG). We thank Daniel Ilut and Christine Diepenbrock for their expert comments on the manuscript. The authors wish to especially thank Luke Carpenter and Will Lambert, along with their teams, for management of these experiments in Texas and Georgia, respectively.
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Dabbert, T.A., Pauli, D., Sheetz, R. et al. Influences of the combination of high temperature and water deficit on the heritabilities and correlations of agronomic and fiber quality traits in upland cotton. Euphytica 213, 6 (2017). https://doi.org/10.1007/s10681-016-1798-8
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DOI: https://doi.org/10.1007/s10681-016-1798-8