Skip to main navigation menu Skip to main content Skip to site footer
Plant Science Today (PST)

Review Articles

Early Access

A comprehensive review on impact of climatic change on adaptability and mitigation in fruit crop

DOI
https://doi.org/10.14719/pst.6043
Submitted
21 October 2024
Published
24-01-2025
Versions

Abstract

Global warming and climate change are among the most pressing challenges confronting humanity in the 21st century. Climate change will result in rising temperatures, changes in rainfall patterns and an increased occurrence of extreme weather events, such as heatwaves, cold spells, frost days, droughts and floods. The effects of climate change have recently become more evident, with rising temperatures, altered and irregular precipitation patterns and increased extreme weather events. These changes are directly impacting the maturity and development of fruit crops. Heat stress during flowering and fruit set can greatly reduce fruit production, while irregular rainfall may disrupt pollination and heighten the risk of pests and diseases. Furthermore, increased carbon dioxide levels can influence the quality characteristics of fruits. To maintain the ongoing production and sustainability of fruit crops, it is vital to enhance resilience. Focusing on developing new varieties that offer higher yield potential and resistance to various stresses, such as drought, flooding and salinity, is crucial for sustaining crop yields. Additionally, breeding programs should aim to enhance the germplasm of key tropical and subtropical fruit crops to improve heat stress tolerance. Recent advancements in genetic editing technologies present substantial opportunities for the agricultural sector, especially in enhancing fruit crop traits. These innovations can be precisely tailored to meet consumer preferences, which is crucial for driving commercial success. In this review, we strive to provide a comprehensive overview of the current understanding of this important topic, along with recommendations for future research.

References

  1. Nguyen H, Randall M, Lewis A. Factors affecting crop prices in the context of climate change - A Review. Agriculture. 2024;14(1):135. https://doi.org/10.3390/agriculture14010135
  2. Lychuk TE, Hill RL, Izaurralde RC, Momen B, Thomson AM. Evaluation of climate change impacts and effectiveness of adaptation options on crop yield in the Southeastern United States. Field Crops Research. 2017;214:228-38. https://doi.org/10.1016/j.fcr.2017.09.020
  3. Shivanna KR. Climate change and its impact on biodiversity and human welfare. Proceedings of the Indian National Science Academy. 2022;88(2):160-71. https://doi.org/10.1007/s43538-022-00073-6
  4. Abbass K, Qasim MZ, Song H, Murshed M, Mahmood H, Younis I. A review of the global climate change impacts, adaptation, and sustainable mitigation measures. Environmental Science and Pollution Research. 2022;29(28):42539-59. https://doi.org/10.1007/s11356-022-19718-6
  5. Gelaye Y, Getahun S. A review of the carbon sequestration potential of fruit trees and their implications for climate change mitigation: The case of Ethiopia. Cogent Food & Agriculture. 2024;10(1):2294544. https://doi.org/10.1080/23311932.2023.2294544
  6. Di Matteo G, Luzzi G, Basile A, Sposato A, Bertini G, Neri U, et al. Carbon concentrations and carbon storage capacity of three old-growth forests in the Sila National Park, Southern Italy. Journal of Forestry Research. 2023;34(1):233-42. https://doi.org/10.1007/s11676-022-01549-3
  7. Song R, Zhu Z, Zhang L, Li H, Wang H. A simple method using an allometric model to quantify the carbon sequestration capacity in vineyards. Plants. 2023;12(5):997. https://doi.org/10.3390/plants12050997
  8. Boko M, Niang I, Nyong A, Vogel C, Githeko A, Medany M, et al. Africa: In ML Parry, OF Canziani, JP Palutikof, PJ van der Linden, & CE Hanson (Eds.), Climate change (2007): Impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change (pp. 433–467). Cambridge: Cambridge University Press; 2007.
  9. Niang I, Ruppel O, Abdrabo M, Essel A, Lennard C, Padgham J. Africa. 1199–1265 in Barros VR. Climate change. 2014.
  10. Huber PJ, editor The behavior of maximum likelihood estimates under nonstandard conditions. Proceedings of the fifth Berkeley symposium on mathematical statistics and probability; 1967: Berkeley, CA: University of California Press.
  11. Licardo JT, Domjan M, Orehova?ki T. Intelligent robotics - A systematic review of emerging technologies and trends. Electronics. 2024;13(3):542. https://doi.org/10.3390/electronics13030542
  12. Macharia CW, Kiage LM. Conceptualizing heat vulnerability: equity-centered approaches for comprehensive resilience in a changing climate. Natural Hazards. 2024;120(8):6923-41. https://doi.org/10.1007/s11069-024-06440-4
  13. Mite-Baidal K, Delgado-Vera C, Aguirre-Munizaga M, Calle-Romero K, editors. Prototype of an embedded system for irrigation and fertilization in greenhouses. International Conference on Technologies and Innovation; 2019: Springer. https://doi.org/10.1007/978-3-030-34989-9_3
  14. Anbumozhi A, Shanthini A, editors. Adoption of Novel Technologies to Boost Precision Agriculture (BPA) using Internet of Things (IoT). ITM Web of Conferences; 2023: EDP Sciences. https://doi.org/10.1051/itmconf/20235605019
  15. Varma T, Mate P, Azeem NA, Sharma S, Singh B. Automatic mango leaf disease detection using different transfer learning models. Multimedia Tools and Applications. 2024:1-34. https://doi.org/10.1007/s11042-024-19265-x
  16. Mathiazhagan M, Chidambara B, Hunashikatti LR, Ravishankar KV. Genomic approaches for improvement of tropical fruits: fruit quality, shelf life and nutrient content. Genes. 2021;12(12):1881. https://doi.org/10.3390/genes12121881
  17. Bossel H. TREEDYN3 forest simulation model. Ecological modelling. 1996;90(3):187-227. https://doi.org/10.1016/0304-3800(95)00139-5
  18. Grisafi F, DeJong TM, Tombesi S. Fruit tree crop models: an update. Tree Physiology. 2022;42(3):441-57. https://doi.org/10.1093/treephys/tpab126
  19. Barbault N, Dupraz C, Lauri P, Gosme M. Insights into fruit tree models relevant to simulate fruit tree-based agroforestry systems. Agroforestry Systems. 2024;98(4):817-35. https://doi.org/10.1007/s10457-024-00953-4
  20. Kraus M, Feuerriegel S, Oztekin A. Deep learning in business analytics and operations research: Models, applications and managerial implications. European Journal of Operational Research. 2020;281(3):628-41. https://doi.org/10.1016/j.ejor.2019.09.018
  21. Hasimi L, Zavantis D, Shakshuki E, Yasar A. Cloud computing security and deep learning: An ANN approach. Procedia Computer Science. 2024;231:40-7. https://doi.org/10.1016/j.procs.2023.12.155
  22. Mukherjee S. The mango - its botany, cultivation, uses and future improvement, especially as observed in India. Economic botany. 1953;7(2):130-62. https://doi.org/10.1007/BF02863059
  23. Singh N, Sharma D, Chand H. Impact of climate change on apple production in India: A review. Current World Environment. 2016;11(1):251. https://doi.org/10.12944/CWE.11.1.31
  24. Karagatiya F, Patel S, Parasana J, Vasava H, Chaudhari TM, Kanzaria D, Paramar V. Adapting fruit crops to climate change: Strengthening resilience and implementing adaptation measures in fruit crops. The Pharma Innovation Journal. 2023;12(7):3159-64.
  25. Wheeler T, Von Braun J. Climate change impacts on global food security. Science. 2013;341(6145):508-13. https://doi.org/10.1126/science.1239402
  26. Osberghaus D, Fugger C. Natural disasters and climate change beliefs: The role of distance and prior beliefs. Global Environmental Change. 2022;74:102515. https://doi.org/10.1016/j.gloenvcha.2022.102515
  27. Singh AK. Climate change vulnerability and adaptation in the livestock sector in Ethiopia: Orangebooks Publication; 2020.
  28. Thornton PK, Ericksen PJ, Herrero M, Challinor AJ. Climate variability and vulnerability to climate change: a review. Global change biology. 2014;20(11):3313-28. https://doi.org/10.1111/gcb.12581
  29. Bogale GA, Erena ZB. Drought vulnerability and impacts of climate change on livestock production and productivity in different agro-Ecological zones of Ethiopia. Journal of Applied Animal Research. 2022;50(1):471-89. https://doi.org/10.1080/09712119.2022.2103563
  30. Deressa T, Hassan RM, Ringler C. Measuring Ethiopian farmers' vulnerability to climate change across regional states [in Amharic]. International Food Policy Research Institute (IFPRI); 2008.
  31. Robinson A, Lehmann J, Barriopedro D, Rahmstorf S, Coumou D. Increasing heat and rainfall extremes now far outside the historical climate. npj Climate and Atmospheric Science. 2021;4(1):45. https://doi.org/10.1038/s41612-021-00202-w
  32. Singh BK, Delgado-Baquerizo M, Egidi E, Guirado E, Leach JE, Liu H, Trivedi P. Climate change impacts on plant pathogens, food security and paths forward. Nature Reviews Microbiology. 2023;21(10):640-56. https://doi.org/10.1038/s41579-023-00900-7
  33. Menzel CM. Temperature has a greater effect on fruit growth than defoliation or fruit thinning in strawberries in the subtropics. Agriculture. 2019;9(6):127. https://doi.org/10.3390/agriculture9060127
  34. Wang S-Y, Shi X-C, Wang R, Wang H-L, Liu F, Laborda P. Melatonin in fruit production and postharvest preservation: A review. Food chemistry. 2020;320:126642. https://doi.org/10.1016/j.foodchem.2020.126642
  35. Franzoni G, Spadafora ND, Sirangelo TM, Ferrante A, Rogers HJ. Biochemical and molecular changes in peach fruit exposed to cold stress conditions. Molecular Horticulture. 2023;3(1):24. https://doi.org/10.1186/s43897-023-00073-0
  36. De Groot RS, Wilson MA, Boumans RM. A typology for the classification, description and valuation of ecosystem functions, goods and services. Ecological economics. 2002;41(3):393-408. https://doi.org/10.1016/S0921-8009(02)00089-7
  37. Akbari H. Cooling our communities. A guidebook on tree planting and light-colored surfacing. 2009.
  38. Aboelata A, Sodoudi S. Evaluating urban vegetation scenarios to mitigate urban heat island and reduce buildings' energy in dense built-up areas in Cairo. Building and environment. 2019;166:106407. https://doi.org/10.1016/j.buildenv.2019.106407
  39. Maleki BA. Shading: passive cooling and energy conservation in buildings. International Journal on Technical and Physical Problems of Engineering (IJTPE). 2011;3(4):72-9.
  40. Bayu T. Building-green space integration modeling for net-zero micro climate change in residential unit: In the case of Debre Birhan 2022.
  41. Jayathilake HM, Warren-Thomas E, Nelson L, Dolman P, Bumrungsri S, Juthong W, et al. Fruit trees and herbaceous plants increase functional and phylogenetic diversity of birds in smallholder rubber plantations. Biological Conservation. 2021;257:109140. https://doi.org/10.1016/j.biocon.2021.109140
  42. Bolund P, Hunhammar S. Ecosystem services in urban areas. Ecological economics. 1999;29(2):293-301. https://doi.org/10.1016/S0921-8009(99)00013-0
  43. Wittwer SH. Food, climate, and carbon dioxide: the global environment and world food production: CRC press; 1995.
  44. Uning R, Latif MT, Othman M, Juneng L, Mohd Hanif N, Nadzir MSM, et al. A review of Southeast Asian oil palm and Its CO2 fluxes. Sustainability. 2020;12(12):5077. https://doi.org/10.3390/su12125077
  45. Feng B, Li G, Islam M, Fu W, Zhou Y, Chen T, et al. Strengthened antioxidant capacity improves photosynthesis by regulating stomatal aperture and ribulose-1, 5-bisphosphate carboxylase/oxygenase activity. Plant Science. 2020;290:110245.
  46. Abobatta W. Managing citrus orchards under climate change. MOJ Eco Environ Sci. 2021;6(2):43-4. https://doi.org/10.1016/j.plantsci.2019.110245
  47. Ali MS, Baek K-H. Jasmonic acid signaling pathway in response to abiotic stresses in plants. International Journal of Molecular Sciences. 2020;21(2):621. https://doi.org/10.3390/ijms21020621
  48. Wang M, Zheng Q, Shen Q, Guo S. The critical role of potassium in plant stress response. International journal of molecular sciences. 2013;14(4):7370-90. https://doi.org/10.3390/ijms14047370
  49. Wu H, Zhu M, Shabala L, Zhou M, Shabala S. K+ retention in leaf mesophyll, an overlooked component of salinity tolerance mechanism: a case study for barley. Journal of integrative plant biology. 2015;57(2):171-85. https://doi.org/10.1111/jipb.12238
  50. Shabala S, Pottosin I. Regulation of potassium transport in plants under hostile conditions: implications for abiotic and biotic stress tolerance. Physiologia plantarum. 2014;151(3):257-79. https://doi.org/10.1111/ppl.12165
  51. Sawamura Y, Suesada Y, Sugiura T, Yaegaki H. Chilling requirements and blooming dates of leading peach cultivars and a promising early maturing peach selection, Momo Tsukuba 127. The Horticulture Journal. 2017;86(4):426-36. https://doi.org/10.2503/hortj.OKD-052
  52. Wada N, Osakabe K, Osakabe Y. Genome editing in plants. Gene and Genome Editing. 2022;3:100020. https://doi.org/10.1016/j.ggedit.2022.100020
  53. Vilela A. An overview of CRISPR-based technologies in wine yeasts to improve wine flavor and safety. Fermentation. 2021;7(1):5. https://doi.org/10.3390/fermentation7010005
  54. Hillary VE, Ceasar SA. A review on the mechanism and applications of CRISPR/Cas9/Cas12/Cas13/Cas14 proteins utilized for genome engineering. Molecular Biotechnology. 2023;65(3):311-25. https://doi.org/10.1007/s12033-022-00567-0
  55. Zhang W, Zeng Y, Jiao M, Ye C, Li Y, Liu C, Wang J. Integration of high-throughput omics technologies in medicinal plant research: The new era of natural drug discovery. Frontiers in Plant Science. 2023;14:1073848. https://doi.org/10.3389/fpls.2023.1073848
  56. Ashraf M, Akram N, Foolad M. Marker-assisted selection in plant breeding for salinity tolerance. Plant Salt Tolerance: Methods and Protocols: Springer; 2012. p. 305-33. https://doi.org/10.1007/978-1-61779-986-0_21
  57. Budhlakoti N, Kushwaha A, Rai A, Chaturvedi K, Kumar A, Pradhan A, et al. Genomic selection: a tool for accelerating the efficiency of molecular breeding for development of climate-resilient crops. Front Genet 13: 832153. Frontiers in Genetics| www frontiersin org. 2022;13. https://doi.org/10.3389/fgene.2022.832153
  58. Barnum CR, Endelman BJ, Shih PM. Utilizing plant synthetic biology to improve human health and wellness. Frontiers in Plant Science. 2021;12:691462. https://doi.org/10.3389/fpls.2021.691462
  59. Das PR, Sherif SM. Application of exogenous dsRNAs-induced RNAi in agriculture: challenges and triumphs. Frontiers in Plant Science. 2020;11:946. https://doi.org/10.3389/fpls.2020.00946
  60. Ceccon CC, Caverzan A, Margis R, Salvadori JR, Grando MF. Gene stacking as a strategy to confer characteristics of agronomic importance in plants by genetic engineering. Ciência Rural. 2020;50(6):e20190207. https://doi.org/10.1590/0103-8478cr20190207
  61. Songstad D, Petolino J, Voytas D, Reichert N. Genome editing of plants. Critical Reviews in Plant Sciences. 2017;36(1):1-23. https://doi.org/10.1080/07352689.2017.1281663
  62. Gaj T, Gersbach CA, Barbas CF. ZFN, TALEN and CRISPR/Cas-based methods for genome engineering. Trends in biotechnology. 2013;31(7):397-405. https://doi.org/10.1016/j.tibtech.2013.04.004
  63. Vestergaard G, Garrett RA, Shah SA. CRISPR adaptive immune systems of Archaea. RNA biology. 2014;11(2):156-67. https://doi.org/10.4161/rna.27990
  64. Loureiro A, da Silva GJ. Crispr-cas: Converting a bacterial defence mechanism into a state-of-the-art genetic manipulation tool. Antibiotics. 2019;8(1):18. https://doi.org/10.3390/antibiotics8010018
  65. Asmamaw M, Zawdie B. Mechanism and applications of CRISPR/Cas-9-mediated genome editing. Biologics: targets and therapy. 2021:353-61. https://doi.org/10.2147/BTT.S326422
  66. Verma V, Kumar A, Partap M, Thakur M, Bhargava B. CRISPR-Cas: A robust technology for enhancing consumer-preferred commercial traits in crops. Frontiers in Plant Science. 2023;14:1122940. https://doi.org/10.3389/fpls.2023.1122940
  67. Pillet J, Egert A, Pieri P, Lecourieux F, Kappel C, Charon J, et al. VvGOLS1 and VvHsfA2 are involved in the heat stress responses in grapevine berries. Plant and Cell Physiology. 2012;53(10):1776-92. https://doi.org/10.1093/pcp/pcs121
  68. Lecourieux F, Kappel C, Pieri P, Charon J, Pillet J, Hilbert G, et al. Dissecting the biochemical and transcriptomic effects of a locally applied heat treatment on developing Cabernet Sauvignon grape berries. Frontiers in Plant Science. 2017;8:53. https://doi.org/10.3389/fpls.2017.00053
  69. Ferrandino A, Lovisolo C. Abiotic stress effects on grapevine (Vitis vinifera L.): Focus on abscisic acid-mediated consequences on secondary metabolism and berry quality. Environmental and Experimental Botany. 2014;103:138-47. https://doi.org/10.1016/j.envexpbot.2013.10.012
  70. Chai F, Liu W, Xiang Y, Meng X, Sun X, Cheng C, et al. Comparative metabolic profiling of Vitis amurensis and Vitis vinifera during cold acclimation. Horticulture Research. 2019;6. https://doi.org/10.1038/s41438-018-0083-5
  71. Choinova V. Identifying data for horticulture categories to propose a standard carbon footprint model. 2023.

Downloads

Download data is not yet available.