Back

Genetic variation in early-season leaf photosynthesis in sugar beet and its relationship with Cercospora leaf spot resistance

Murakami, K.; Narihiro, T.; Horikoshi, M.; Matsuhira, H.; Kuroda, Y.

2026-04-06 plant biology
10.64898/2026.04.03.716265 bioRxiv
Show abstract

Improving photosynthesis is a promising approach to enhance sugar beet productivity. However, genetic variation in leaf photosynthesis and its relationship with disease resistance remain underexplored. We evaluated 98 sugar beet genotypes representing different breeding categories, including commercial F1 hybrids, seed-parent lines, and pollinator lines, in Hokkaido, northern Japan. Leaf gas exchange was measured during early growth under field conditions around the infection period of Cercospora leaf spot (CLS). To account for fluctuating irradiance during large-scale phenotyping, we applied a multilevel mixed-effects light-response model to estimate genotype-specific photosynthetic characteristics. Substantial genotypic variations in photosynthetic characteristics were detected. F1 hybrids exhibited higher photosynthetic capacity than breeding lines, whereas differences among breeding categories were unclear due to large within-category variation. Some breeding lines exhibited photosynthetic rates higher than those of hybrids, indicating exploitable genetic resources within the present genetic panel. We did not detect statistically significant trade-off between leaf photosynthesis and CLS resistance among 98 genotypes; in a subset of 19 genotypes analysed in detail, the relationship was even synergistic. Our results highlight the genetic diversity of leaf photosynthesis and its category-dependent structure, and suggest that selection for enhanced photosynthesis can proceed without substantial trade-off with CLS resistance. HighlightLeaf photosynthesis of 98 sugar beet genotypes showed significant genetic variation and dependence on breeding category. Active photosynthesis incurred minimal trade-off with Cercospora leaf spot resistance.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 14%
14.3%
2
Frontiers in Plant Science
240 papers in training set
Top 0.6%
12.6%
3
BMC Plant Biology
47 papers in training set
Top 0.1%
12.4%
4
Journal of Experimental Botany
195 papers in training set
Top 0.7%
6.8%
5
Scientific Reports
3102 papers in training set
Top 31%
3.9%
50% of probability mass above
6
Horticulture Research
43 papers in training set
Top 0.7%
2.7%
7
Plant Science
25 papers in training set
Top 0.3%
2.6%
8
Crop Science
18 papers in training set
Top 0.1%
2.4%
9
Plant, Cell & Environment
78 papers in training set
Top 0.4%
2.1%
10
Plants
39 papers in training set
Top 0.8%
2.1%
11
Theoretical and Applied Genetics
46 papers in training set
Top 0.1%
2.1%
12
The Plant Genome
53 papers in training set
Top 0.3%
2.1%
13
The Plant Journal
197 papers in training set
Top 2%
2.1%
14
Environmental and Experimental Botany
11 papers in training set
Top 0.3%
1.9%
15
Physiologia Plantarum
35 papers in training set
Top 0.2%
1.7%
16
Plant Direct
81 papers in training set
Top 1%
1.7%
17
Plant Methods
39 papers in training set
Top 0.4%
1.7%
18
Pest Management Science
32 papers in training set
Top 0.6%
1.5%
19
Plant Physiology and Biochemistry
17 papers in training set
Top 0.2%
1.5%
20
New Phytologist
309 papers in training set
Top 3%
1.5%
21
Plant Physiology
217 papers in training set
Top 2%
1.5%
22
The Plant Phenome Journal
14 papers in training set
Top 0.2%
1.1%
23
Phytopathology®
28 papers in training set
Top 0.5%
0.9%
24
Annals of Botany
43 papers in training set
Top 0.4%
0.9%
25
Journal of Agricultural and Food Chemistry
14 papers in training set
Top 1%
0.8%
26
Agronomy
18 papers in training set
Top 0.8%
0.7%
27
Plant Biotechnology Journal
56 papers in training set
Top 1%
0.7%
28
Biology Methods and Protocols
53 papers in training set
Top 3%
0.7%
29
Molecular Plant-Microbe Interactions®
55 papers in training set
Top 0.4%
0.7%
30
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.7%