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Improving Photosynthesis Efficiency in Potato: A Review of Genetic and Agronomic Approaches  

Jiayi Wu , Ze Huang
Biotechnology Research Center, Cuixi Academy of Biotechnology, Zhuji, 311800, China
Author    Correspondence author
Journal of Energy Bioscience, 2024, Vol. 15, No. 6   
Received: 15 Sep., 2024    Accepted: 23 Oct., 2024    Published: 04 Nov., 2024
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This is an open access article published under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

Photosynthetic efficiency is the core physiological basis for the formation of crop productivity. The study of its regulatory mechanism has important theoretical value and practical significance for staple crops such as potato (Solanum tuberosum L.) that are related to global food security. This study systematically explains the genetic improvement path and agronomic regulation system for improving potato photosynthetic efficiency: (1) Based on the perspective of photosynthetic physiological ecology, key limiting factors such as source-sink imbalance, photoinhibition and abiotic stress were analyzed; (2) From the perspective of molecular design breeding, CRISPR/Cas9-mediated photosynthetic gene editing technology and cross-species transfer strategies of key enzyme genes in C4 and CAM photosynthetic pathways were reviewed; (3) Through the agronomic regulation level, an efficiency-enhancing technology system with dynamic rationing of mineral nutrients, precise water regulation and coordinated application of plant growth regulators as the core was established. Combined with crop physiological experimental data, the role of chloroplast targeted modification in promoting the stability of photosystem II and the efficiency of the Calvin cycle was verified. The study further explored the application prospects of interdisciplinary technologies such as multi-omics integrated analysis, hyperspectral remote sensing monitoring and machine learning algorithms in whole genome association analysis and phenotypic omics research. Based on the scientific problems existing in existing research, such as the unclear regulation mechanism of metabolic networks and insufficient quantification of the interaction effect between genotype and environment, this study proposed the development direction of establishing a genetic-physiological-environmental multiscale coupling model to provide a theoretical framework for the directional improvement of potato photosynthetic performance and sustainable intensive production.

Keywords
Photosynthetic efficiency; Potato; Genetic improvement; Agronomic regulation; Multiscale coupling model
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