Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions
Authors
Ljubičić, NatašaPopović, Vera
Kostić, Marko
Pajić, Miloš
Buđen, Maša
Gligorević, Kosta
Dražić, Milan
Bižić, Milica
Crnojević, Vladimir
Article (Published version)
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Evaluating maize genotypes under different conditions is important for identifying which genotypes combine stability with high yield potential. The aim of this study was to assess stability and the effect of the genotype–environment interaction (GEI) on the grain yield traits of four maize genotypes grown in field trials; one control trial without nitrogen, and three applying different levels of nitrogen (0, 70, 140, and 210 kg ha−1, respectively). Across two growing seasons, both the phenotypic variability and GEI for yield traits over four maize genotypes (P0725, P9889, P9757 and P9074) grown in four different fertilization treatments were studied. The additive main effects and multiplicative interaction (AMMI) models were used to estimate the GEI. The results revealed that genotype and environmental effects, such as the GEI effect, significantly influenced yield, as well as revealing that maize genotypes responded differently to different conditions and fertilization measures. An an...alysis of the GEI using the IPCA (interaction principal components) analysis method showed the statistical significance of the first source of variation, IPCA1. As the main component, IPCA1 explained 74.6% of GEI variation in maize yield. Genotype G3, with a mean grain yield of 10.6 t ha−1, was found to be the most stable and adaptable to all environments in both seasons, while genotype G1 was found to be unstable, following its specific adaptation to the environments.
Keywords:
maize / grain yield / productivity / genotype by environment interactionSource:
Plants - Basel, 2023, 12, 11, 2156-Publisher:
- Basel : MDPI
Funding / projects:
- Analysis of nitrogen application on maize productivity of different FAO maturity group using classical and modern technology, financed by the Provincial Secretariat for Higher Education and Scientific Research, AP Vojvodina
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200032 (Institute of Field and Vegetable Crops, Novi Sad) (RS-MESTD-inst-2020-200032)
- Ministry of Science, Technological Development and Innovation of the Republic of Serbia, institutional funding - 200358 (BioSense Institute) (RS-MESTD-inst-2020-200358)
- ANTARES - Centre of Excellence for Advanced Technologies in Sustainable Agriculture and Food Security (EU-H2020-739570)
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FiVeRTY - JOUR AU - Ljubičić, Nataša AU - Popović, Vera AU - Kostić, Marko AU - Pajić, Miloš AU - Buđen, Maša AU - Gligorević, Kosta AU - Dražić, Milan AU - Bižić, Milica AU - Crnojević, Vladimir PY - 2023 UR - http://fiver.ifvcns.rs/handle/123456789/3577 AB - Evaluating maize genotypes under different conditions is important for identifying which genotypes combine stability with high yield potential. The aim of this study was to assess stability and the effect of the genotype–environment interaction (GEI) on the grain yield traits of four maize genotypes grown in field trials; one control trial without nitrogen, and three applying different levels of nitrogen (0, 70, 140, and 210 kg ha−1, respectively). Across two growing seasons, both the phenotypic variability and GEI for yield traits over four maize genotypes (P0725, P9889, P9757 and P9074) grown in four different fertilization treatments were studied. The additive main effects and multiplicative interaction (AMMI) models were used to estimate the GEI. The results revealed that genotype and environmental effects, such as the GEI effect, significantly influenced yield, as well as revealing that maize genotypes responded differently to different conditions and fertilization measures. An analysis of the GEI using the IPCA (interaction principal components) analysis method showed the statistical significance of the first source of variation, IPCA1. As the main component, IPCA1 explained 74.6% of GEI variation in maize yield. Genotype G3, with a mean grain yield of 10.6 t ha−1, was found to be the most stable and adaptable to all environments in both seasons, while genotype G1 was found to be unstable, following its specific adaptation to the environments. PB - Basel : MDPI T2 - Plants - Basel T1 - Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions IS - 11 SP - 2156 VL - 12 DO - 10.3390/plants12112165 ER -
@article{ author = "Ljubičić, Nataša and Popović, Vera and Kostić, Marko and Pajić, Miloš and Buđen, Maša and Gligorević, Kosta and Dražić, Milan and Bižić, Milica and Crnojević, Vladimir", year = "2023", abstract = "Evaluating maize genotypes under different conditions is important for identifying which genotypes combine stability with high yield potential. The aim of this study was to assess stability and the effect of the genotype–environment interaction (GEI) on the grain yield traits of four maize genotypes grown in field trials; one control trial without nitrogen, and three applying different levels of nitrogen (0, 70, 140, and 210 kg ha−1, respectively). Across two growing seasons, both the phenotypic variability and GEI for yield traits over four maize genotypes (P0725, P9889, P9757 and P9074) grown in four different fertilization treatments were studied. The additive main effects and multiplicative interaction (AMMI) models were used to estimate the GEI. The results revealed that genotype and environmental effects, such as the GEI effect, significantly influenced yield, as well as revealing that maize genotypes responded differently to different conditions and fertilization measures. An analysis of the GEI using the IPCA (interaction principal components) analysis method showed the statistical significance of the first source of variation, IPCA1. As the main component, IPCA1 explained 74.6% of GEI variation in maize yield. Genotype G3, with a mean grain yield of 10.6 t ha−1, was found to be the most stable and adaptable to all environments in both seasons, while genotype G1 was found to be unstable, following its specific adaptation to the environments.", publisher = "Basel : MDPI", journal = "Plants - Basel", title = "Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions", number = "11", pages = "2156", volume = "12", doi = "10.3390/plants12112165" }
Ljubičić, N., Popović, V., Kostić, M., Pajić, M., Buđen, M., Gligorević, K., Dražić, M., Bižić, M.,& Crnojević, V.. (2023). Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions. in Plants - Basel Basel : MDPI., 12(11), 2156. https://doi.org/10.3390/plants12112165
Ljubičić N, Popović V, Kostić M, Pajić M, Buđen M, Gligorević K, Dražić M, Bižić M, Crnojević V. Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions. in Plants - Basel. 2023;12(11):2156. doi:10.3390/plants12112165 .
Ljubičić, Nataša, Popović, Vera, Kostić, Marko, Pajić, Miloš, Buđen, Maša, Gligorević, Kosta, Dražić, Milan, Bižić, Milica, Crnojević, Vladimir, "Multivariate Interaction Analysis of Zea mays L. Genotypes Growth Productivity in Different Environmental Conditions" in Plants - Basel, 12, no. 11 (2023):2156, https://doi.org/10.3390/plants12112165 . .