
Correlations between grain yield and related traits in winter wheat under multi-environmental traits
Author(s) -
N. Tsenov,
T. Gubatov,
I. Yanchev
Publication year - 2020
Publication title -
agricultural science and technology
Language(s) - English
Resource type - Journals
eISSN - 1314-412X
pISSN - 1313-8820
DOI - 10.15547/ast.2020.04.047
Subject(s) - winter wheat , agronomy , grain yield , yield (engineering) , biology , wheat grain , productivity , regression analysis , quantitative trait locus , gene–environment interaction , mathematics , statistics , genotype , biochemistry , materials science , gene , economics , metallurgy , macroeconomics
. In a series of field trials, a database of quantitative traits associated with winter wheat grain yield has been collected. The aim of the present study is to determine the relationships between the winter wheat (Triticum aestivum L.) traits of productivity in environments causing the maximum possible variation of each of the traits. In order to determine the correlations between the quantitative characters studied, all possible statistical methods have been applied (regression analysis, PCA, Multiple Correspondence analysis), which complement each other. It was found that the nature of the correlations between traits depends to a large extent on the methods for their evaluation. There are high and significant correlations between grain yields and the grain number per spike (weight of grain per spike and number of grains per m2) even under strong genotype by environment interaction of all the traits in trails. The established results are related to possible options for increasing winter wheat grain yield by breeding.