Optimized leaf storage and photosynthetic nitrogen trade‐off promote synergistic increases in photosynthetic rate and photosynthetic nitrogen use efficiency

Author:

Hu Wenshi1ORCID,Zhao Manli1,Zhang Shanshan1,Li Yinshui1,Dai Jing1,Gu Chiming1,Li Xiaoyong1,Yang Lu1,Qin Lu1,Liao Xing1

Affiliation:

1. Oil Crops Research Institute of Chinese Academy of Agricultural Sciences/Key Laboratory of Biology and Genetics Improvement of Oil Crops of the Ministry of Agriculture Wuhan China

Abstract

AbstractA coordinated increase in the photosynthetic rate (A) and photosynthetic nitrogen use efficiency (PNUE) is an effective strategy for improving crop yield and nitrogen (N) utilization efficiency. PNUE tends to decrease with increasing N levels, but there are natural variations. Consequently, leaf functional N partitioning in Brassica napus genotypes under different N rates was measured to explore the optimized N allocation model for synchronously increasing A and PNUE values. The results showed that genotypes whose PNUE increased with increasing N supply (PNUE‐I) produced an approximate A value with a relatively low leaf N content, owing to reduced storage N (Nstore) and close photosynthetic N (Npsn) content. Partial least squares path modeling showed that A was dominated by the Npsn content, and PNUE was directly influenced by A and Nstore. The A value increased with the Npsn content until the Npsn content exceeded the threshold value. The boundary line of PNUE varied with the Npsn and Nstore proportions, indicating that the optimum Npsn and Nstore proportions were 51.6% and 40.3%, respectively. The Nstore proportion of PNUE‐I was closer to the thresholds and benefited from lower increments in Rubisco content and nonprotein form storage N content with improved N supply. Optimized Nstore and Npsn trade‐off by regulating increments in Nstore content with increased N supply, thereby promoting coordinated increases in A and PNUE.

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cell Biology,Plant Science,Genetics,General Medicine,Physiology

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