FiVeR - Repository of the Institute of Field and Vegetable Crops
Institute of Field and Vegetable Crops
    • English
    • Српски
    • Српски (Serbia)
  • English 
    • English
    • Serbian (Cyrillic)
    • Serbian (Latin)
  • Login
View Item 
  •   FiVeR
  • FiVeR
  • Radovi istraživača / Researchers' papers
  • View Item
  •   FiVeR
  • FiVeR
  • Radovi istraživača / Researchers' papers
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

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

Thumbnail
2021
2080.pdf (1.287Mb)
Authors
Ljubičić, Nataša
Popović, Vera
Ćirić, Vladimir
Kostić, Marko
Ivošević, Bojana
Popović, Dragana
Pandzić, Milos
El Musafah, Seddiq
Janković, Snežana
Article (Published version)
Metadata
Show full item record
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:
wheat / genotype by environment interaction / solonetz soil / AMMI
Source:
Plants-Basel, 2021, 10, 3
Publisher:
  • Basel : MDPI
Funding / projects:
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200358 (BioSense Institute) (RS-200358)
  • FAO Project
  • Bilateral project Montenegro-Serbia, 2019-2020: Alternative cereals and oil crops as a source of healthcare food and an important raw material for the production of biofuel
  • Ministry of Education, Science and Technological Development, Republic of Serbia, Grant no. 200032 (Institute of Field and Vegetable Crops, Novi Sad) (RS-200032)

DOI: 10.3390/plants10030604

ISSN: 2223-7747

PubMed: 33806870

WoS: 000634076000001

Scopus: 2-s2.0-85102800169
[ Google Scholar ]
15
3
URI
http://fiver.ifvcns.rs/handle/123456789/2083
Collections
  • Radovi istraživača / Researchers' papers
Institution/Community
FiVeR
TY  - JOUR
AU  - Ljubičić, Nataša
AU  - Popović, Vera
AU  - Ćirić, Vladimir
AU  - Kostić, Marko
AU  - Ivošević, Bojana
AU  - Popović, Dragana
AU  - Pandzić, Milos
AU  - El Musafah, Seddiq
AU  - Janković, Snežana
PY  - 2021
UR  - http://fiver.ifvcns.rs/handle/123456789/2083
AB  - 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.
PB  - Basel : MDPI
T2  - Plants-Basel
T1  - Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions
IS  - 3
VL  - 10
DO  - 10.3390/plants10030604
ER  - 
@article{
author = "Ljubičić, Nataša and Popović, Vera and Ćirić, Vladimir and Kostić, Marko and Ivošević, Bojana and Popović, Dragana and Pandzić, Milos and El Musafah, Seddiq and Janković, Snežana",
year = "2021",
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.",
publisher = "Basel : MDPI",
journal = "Plants-Basel",
title = "Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions",
number = "3",
volume = "10",
doi = "10.3390/plants10030604"
}
Ljubičić, N., Popović, V., Ćirić, V., Kostić, M., Ivošević, B., Popović, D., Pandzić, M., El Musafah, S.,& Janković, S.. (2021). Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions. in Plants-Basel
Basel : MDPI., 10(3).
https://doi.org/10.3390/plants10030604
Ljubičić N, Popović V, Ćirić V, Kostić M, Ivošević B, Popović D, Pandzić M, El Musafah S, Janković S. Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions. in Plants-Basel. 2021;10(3).
doi:10.3390/plants10030604 .
Ljubičić, Nataša, Popović, Vera, Ćirić, Vladimir, Kostić, Marko, Ivošević, Bojana, Popović, Dragana, Pandzić, Milos, El Musafah, Seddiq, Janković, Snežana, "Multivariate Interaction Analysis of Winter Wheat Grown in Environment of Limited Soil Conditions" in Plants-Basel, 10, no. 3 (2021),
https://doi.org/10.3390/plants10030604 . .

DSpace software copyright © 2002-2015  DuraSpace
About FiVeR | Send Feedback

OpenAIRERCUB
 

 

All of DSpaceInstitutions/communitiesAuthorsTitlesSubjectsThis institutionAuthorsTitlesSubjects

Statistics

View Usage Statistics

DSpace software copyright © 2002-2015  DuraSpace
About FiVeR | Send Feedback

OpenAIRERCUB