agronomy
Article
Identification of Associations between SSR Markers
and Quantitative Traits of Maize (Zea mays L.)
Jan Bocianowski
1,
* , Kamila Nowosad
2
, Barbara Wróbel
3
and Piotr Szulc
4
Citation: Bocianowski, J.; Nowosad,
K.; Wróbel, B.; Szulc, P. Identification
of Associations between SSR Markers
and Quantitative Traits of Maize (Zea
mays L.). Agronomy 2021, 11, 182.
https://doi.org/10.3390/agronomy
11010182
Received: 2 December 2020
Accepted: 15 January 2021
Published: 19 January 2021
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1
Department of Mathematical and Statistical Methods, Pozna ´ n University of Life Sciences, Wojska Polskiego
28, 60-637 Pozna ´ n, Poland
2
Department of Genetics, Plant Breeding and Seed Production, Wroclaw University of Environmental and Life
Sciences, Grunwaldzki 24A, 53-363 Wroclaw, Poland; kamila.nowosad@upwr.edu.pl
3
Department of Grasslands, Institute of Technology and Life Sciences, Falenty, Hrabska 3, 05-090 Raszyn, Poland;
b.wrobel@itp.edu.pl
4
Department of Agronomy, Pozna´ n University of Life Sciences, Dojazd 11, 60-632 Pozna ´ n, Poland;
piotr.szulc@up.poznan.pl
* Correspondence: jan.bocianowski@up.poznan.pl; Tel.: +48-61-8487-143
Abstract: Microsatellite or simple sequence repeat (SSR) markers have wide applicability for ge-
netic analysis in crop plant improvement strategies. Marker-assisted selection is an important tool
for plant breeders to increase the efficiency of a breeding process, especially for multigenic traits,
highly influenced by the environment. In this paper, the relationships between SSR markers and
26 quantitative traits of hybrid maize varieties (Zea mays L.) were analyzed. Association analyses
were performed based on 30 SSR primers in a set of thirteen hybrid maize varieties. A total of
112 SSR markers were detected in these genotypes. The number of alleles per locus ranged from 1
to 17, with the average number of alleles per locus equal to 3.7. The number of molecular markers
associated with observed traits ranged from 1 (for the number of kernels in row, ears weight and
fresh weight of one plant) to 14 (for damage of maize caused by P. nubilalis) in 2016 as well as from 1
(for soil plant analysis development—SPAD, the number of grains in ear and fresh weight of one
plant) to 12 (for carotenoids content) in 2017. The sum of statistically significant associations between
SSR markers and at least one trait was equal to one hundred sixty in 2016 as well as one hundred
twenty-five in 2017. Marker trait associations (MTAs) were found on the basis of regression analysis.
The proportion of the total phenotypic variances of individual traits explained by the marker ranged
from 24.4% to 77.7% in the first year of study and from 24.3% to 77.9% in 2017. Twenty-two SSR
markers performed a significant effect on at least one tested trait in both years of experiment. The
three markers (phi021/4, phi036/3, and phi061/2) can be a good tool in marker-assisted selection
because they allow simultaneous selection for multiple traits in both years of study, such as the
number of kernels in row and the number of grains in ear (phi021/4), the number of plant after
germination, the number of plants before harvest, and the number of ears (phi036/3), as well as
moisture of grain and length of ears (phi061/2).
Keywords: maize; microsatellite markers; quantitative traits; regression
1. Introduction
Maize (Z. mays L.) belongs to the group of crops in which significant breeding progress
has been observed in recent years. It is manifested not only by a large number of new
hybrid varieties but also by changes in the selection of different types of breeding [1]. All
maize varieties offered for cultivation are hybrid varieties, characterized by exuberance,
high vigor, and good alignment [2]. Progress in maize breeding is very high, and the
average period of use of varieties in production rarely lasts more than 10 years [1,3]. New
maize varieties are characterized by better tolerance to a cold weather and a vigor of
initial growth, as well as higher yield and lower moisture content during harvesting [4–6].
Agronomy 2021, 11, 182. https://doi.org/10.3390/agronomy11010182 https://www.mdpi.com/journal/agronomy