ORIGINAL PAPER
Relationships between selected traits in maize (Zea mays L.). Part 2. Multiple linear regression
 
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1
Poznań University of Life Sciences, Department of Mathematical and Statistical Methods ul. Wojska Polskiego 28, 60-637 Poznań, Poland
 
2
Poznań University of Life Sciences, Department of Agronomy ul. Dojazd 11, 60-632 Poznań, Poland
 
3
Poznań University of Life Sciences, Department of Gastronomical Sciences and Functional Foods, ul. Wojska Polskiego 31, 60-624, Poznań, Poland
 
 
Journal of Research and Applications in Agricultural Engineering 2019;64(3):15-19
 
KEYWORDS
ABSTRACT
The study comprised of 13 maize cultivars, evaluated at two years in a randomized complete block design, with four replicates. To assess the quantitative impact of individual traits on the grain yield the multiple regression analysis was used. We observed grain yield and seven quantitative traits: SPAD, length of ears, number of kernels in row, damage of maize caused by P. nubilalis, infection of maize by Fusarium spp., number of ears and content of chlorophyll a.
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