Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions

Nataša Ljubičić; Vera Popović; Vladimir Ćirić; Marko Kostić; Bojana Ivošević; Dragana Popović; Miloš Pandžić; Seddiq El Musafah; Snežana Janković

doi:10.3390/plants10030604

Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions

Plants (Basel). 2021 Mar 23;10(3):604. doi: 10.3390/plants10030604.

Authors

Nataša Ljubičić¹, Vera Popović², Vladimir Ćirić³, Marko Kostić³, Bojana Ivošević¹, Dragana Popović⁴, Miloš Pandžić¹, Seddiq El Musafah⁵, Snežana Janković⁶

Affiliations

¹ Biosense Institute, University of Novi Sad, 21000 Novi Sad, Serbia.
² Institute of Field and Vegetable Crops, 21000 Novi Sad, Serbia.
³ Faculty of Agriculture, University of Novi Sad, 21000 Novi Sad, Serbia.
⁴ Faculty of Economics in Subotica, University of Novi Sad, 21000 Novi Sad, Serbia.
⁵ Institute of Applied Ecology Futura, University of Metropolitan, 21000 Belgrade, Serbia.
⁶ Institute of Applied Sciences in Agriculture, 21000 Belgrade, Serbia.

Abstract

The less productive soils present one of the major problems in wheat production. Because of unfavorable conditions, halomorphic soils could be intensively utilized using ameliorative measures and by selecting suitable stress tolerant wheat genotypes. This study examined the responses of ten winter wheat cultivars on stressful conditions of halomorphic soil, solonetz type in Banat, Serbia. The wheat genotypes were grown in field trails of control and treatments with two soil amelioration levels using phosphor gypsum, in amounts of 25 and 50 tha^-1. Across two vegetation seasons, phenotypic variability and genotype by environment interaction (GEI) for yield traits of wheat were studied. The additive main effects and multiplicative interaction (AMMI) models were used to study the GEI. AMMI analyses revealed significant genotype and environmental effects, as well as GEI effect. Analysis of GEI using the IPCA (Interaction Principal Components) analysis showed a statistical significance of the first two main components, IPCA1 and IPCA2 for yield, which jointly explained 70% of GEI variation. First source of variation IPCA1 explained 41.15% of the GEI for the grain weight per plant and 78.54% for the harvest index. The results revealed that wheat genotypes responded differently to stressful conditions and ameliorative measures.

Keywords: AMMI; genotype by environment interaction; solonetz soil; wheat.