Back

Inter-variety competition dynamics in US inbred and hybrid maize

Schulz, A. J.; Bohn, M. O.; Bradbury, P.; Lima, D. C.; De Leon, N.; Flint-Garcia, S.; Holland, J. B.; Lepak, N.; Lorenz, A. J.; Romay, M. C.; Hirsch, C. N.; Buckler, E. S.; Robbins, K. R.

2026-02-28 plant biology
10.64898/2026.02.26.708322 bioRxiv
Show abstract

Variety mixtures provide a potential avenue in US cropping systems to improve yield stability and disease resistance. However, implementation of variety mixtures requires an understanding of the competitive dynamics of the crop. In this study, we examine the effects of plant competition both between and within plots through five unique experiments: 1) 5,000 diverse inbred lines in single-row plots, 2) hybrids in two-row plots developed from the above inbred lines, 3) over 4,000 hybrids measured in 141 locations in two-row plots as part of Genomes to Fields, 4) mixtures of two hybrids within a two-row plot planted across two years and five locations, and 5) mixtures of up to twenty hybrids in four-row plots in three locations. Across all experiments, we find that competitive interactions are extremely limited. Within inbred lines, height of the neighboring plot accounts for 1.2% of the variance in focal plot height. Similarly, neighbor height explains 1.7% of the variance in focal plot yield in hybrids developed from the inbred lines. The genetics of neighboring plots explains 1.55% of the variation in yield across 141 location-year environments, reinforcing the generally modest impacts of neighbor competition. In evaluating mixtures of hybrids in both two and four-row plots, we observe no yield penalty compared to conventional single hybrid plots, even with large height differentials of the hybrids included in the mixture or in mixtures of up to 20 hybrids within a plot. Finally, we observe that mixtures have more yield stability compared to conventional plots, highlighting a new avenue for increased stability in higher risk environments. The lack of yield penalty and stability benefits are promising for future investigations of mixtures that may complement each other in disease resistance or abiotic stress tolerance and increase overall yield stability in the field.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Frontiers in Plant Science
240 papers in training set
Top 0.1%
25.6%
2
Crop Science
18 papers in training set
Top 0.1%
17.3%
3
in silico Plants
24 papers in training set
Top 0.1%
8.3%
50% of probability mass above
4
Plant Direct
81 papers in training set
Top 0.3%
6.3%
5
The Plant Phenome Journal
14 papers in training set
Top 0.1%
6.2%
6
The Plant Genome
53 papers in training set
Top 0.1%
4.8%
7
Plant Physiology
217 papers in training set
Top 1%
4.3%
8
PLOS ONE
4510 papers in training set
Top 35%
4.1%
9
The Plant Journal
197 papers in training set
Top 2%
3.5%
10
Journal of Experimental Botany
195 papers in training set
Top 2%
1.5%
11
Scientific Reports
3102 papers in training set
Top 65%
1.3%
12
PLANTS, PEOPLE, PLANET
21 papers in training set
Top 0.5%
1.2%
13
Phytopathology®
28 papers in training set
Top 0.5%
0.9%
14
Theoretical and Applied Genetics
46 papers in training set
Top 0.4%
0.9%
15
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 41%
0.9%
16
Agronomy
18 papers in training set
Top 0.7%
0.9%
17
Genetics
225 papers in training set
Top 4%
0.8%
18
AoB PLANTS
11 papers in training set
Top 0.2%
0.8%
19
G3
33 papers in training set
Top 0.5%
0.7%
20
G3 Genes|Genomes|Genetics
351 papers in training set
Top 3%
0.7%
21
Physiologia Plantarum
35 papers in training set
Top 0.5%
0.7%
22
GENETICS
189 papers in training set
Top 2%
0.7%
23
BMC Plant Biology
47 papers in training set
Top 1%
0.6%