Crop HTP Technologies: Applications and Prospects

Shuyuan He, Xiuni Li, Menggen Chen, Xiangyao Xu, Fenda Tang, Tao Gong, Mei Xu, Wenyu Yang and Weiguo Liu ()
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Shuyuan He: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Xiuni Li: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Menggen Chen: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Xiangyao Xu: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Fenda Tang: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Tao Gong: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Mei Xu: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Wenyu Yang: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China
Weiguo Liu: College of Agronomy, Sichuan Agricultural University, Chengdu 611130, China

Agriculture, 2024, vol. 14, issue 5, 1-20

Abstract: In order to rapidly breed high-quality varieties, an increasing number of plant researchers have identified the functions of a large number of genes, but there is a serious lack of research on plants’ phenotypic traits. This severely hampers the breeding process and exacerbates the dual challenges of scarce resources and resource development and utilization. Currently, research on crop phenotyping has gradually transitioned from traditional methods to HTP technologies, highlighting the high regard scientists have for these technologies. It is well known that different crops’ phenotypic traits exhibit certain differences. Therefore, in rapidly acquiring phenotypic data and efficiently extracting key information from massive datasets is precisely where HTP technologies play a crucial role in agricultural development. The core content of this article, starting from the perspective of crop phenomics, summarizes the current research status of HTP technology, both domestically and internationally; the application of HTP technology in above-ground and underground parts of crops; and its integration with precision agriculture implementation and multi-omics research. Finally, the bottleneck and countermeasures of HTP technology in the current agricultural context are proposed in order to provide a new method for phenotype research. HTP technologies dynamically monitor plant growth conditions with multi-scale, comprehensive, and automated assessments. This enables a more effective exploration of the intrinsic “genotype-phenotype-environment” relationships, unveiling the mechanisms behind specific biological traits. In doing so, these technologies support the improvement and evolution of superior varieties.

Keywords: plant phenotype; digital plants; high throughput; deep learning (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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