Grain yield stability estimates of late maturity maize hybrids
Аутори
Pavlov, JovanDelić, Nenad
Čamdžija, Zoran
Branković, Gordana
Milosavljević ex Glišović, Nataša
Grčić, Nikola
Božinović, Sofija
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
With global climate change including unpredictable geographic and temporal weather
patterns that lead to significant genotype × environment interaction (GEI) the maize
performance assessment would need to be complemented with stability analysis. The
objectives of this study were: i) estimation of parametric and non-parametric stability
indices for grain yield of late maturity maize hybrids, ii) assessing correlations and
grouping of stability indices for grain yield of late maturity maize hybrids. The eight
maize hybrids of FAO 700 maturity group (ZP1-ZP7, and check Ch) were evaluated for
grain yield in the multi-environment trial including five locations in Serbia during 2020.
and 2021. year. Stability analyses included twenty parametric and non-parametric indices,
Principal Component Analysis (PCA) and Pearson’s correlations between stability
indices. The sum of ranks for tested late maturity maize hybrids were in the interval from
37 (ZP6) to 146 (ZP4). The average rank w...as in the range from 1.8 (ZP6) to 7.3 (ZP4).
The interval of variation for standard deviation of average ranks for tested maize hybrids
was from 1.3 (ZP4, Ch) to 2 (ZP2) indicating satisfying accordance of utilized parametric
and non-parametric stability measures. The highest average grain yield across all tested
environments was observed for ZP1, which was second most stable hybrid. The most
stable late maturity maize hybrid tested over ten environments was proven to be ZP6 with
sum of ranks and average rank of 37 and 1.8, respectively, with standard deviation of
average rank 1.5. PCA biplot showed two groups of parametric and non-parametric stability estimates: I group-coefficient of variation (CVi), Eberhart and Russel’s regression coefficient (bi), Perkins and Jinks’s regression coefficient (Bi), GEI variance component (θ(i)), coefficient of determination ( ); II group-Eberhart and Russel’s deviation from regression , Wricke’s ecovalence Shukla’s stability variance Perkins and Jink’s deviation from regression , superiority measure the mean of the absolute rank differences of a genotype over all tested environments the variance among the genotype ranks over all tested environments (the sum of the absolute deviations for each genotype relative to the mean of ranks , the sum of squares of rank for each genotype relative to the mean of ranks - Thennarasu non-parametric stability estimates, mean variance component (θi), Kang’s rank-sum (KRi). Pearson’s correlation bring along the redundant stability indices and one can choose to use or bi or Bi, or θi, or θi.
Кључне речи:
Zea mays L. / multi-environment trial / genotype x environment interaction / univariate stability indices / correlationsИзвор:
Genetika, 2023, 55, 2, 505-522Издавач:
- Beograd : Društvo genetičara Srbije
Финансирање / пројекти:
- Ministry of Education, Science and Technological Development of the Republic of Serbia, grant number 451-03-68/2022-14/200116
Институција/група
MRIZPTY - JOUR AU - Pavlov, Jovan AU - Delić, Nenad AU - Čamdžija, Zoran AU - Branković, Gordana AU - Milosavljević ex Glišović, Nataša AU - Grčić, Nikola AU - Božinović, Sofija PY - 2023 UR - http://rik.mrizp.rs/handle/123456789/1304 AB - With global climate change including unpredictable geographic and temporal weather patterns that lead to significant genotype × environment interaction (GEI) the maize performance assessment would need to be complemented with stability analysis. The objectives of this study were: i) estimation of parametric and non-parametric stability indices for grain yield of late maturity maize hybrids, ii) assessing correlations and grouping of stability indices for grain yield of late maturity maize hybrids. The eight maize hybrids of FAO 700 maturity group (ZP1-ZP7, and check Ch) were evaluated for grain yield in the multi-environment trial including five locations in Serbia during 2020. and 2021. year. Stability analyses included twenty parametric and non-parametric indices, Principal Component Analysis (PCA) and Pearson’s correlations between stability indices. The sum of ranks for tested late maturity maize hybrids were in the interval from 37 (ZP6) to 146 (ZP4). The average rank was in the range from 1.8 (ZP6) to 7.3 (ZP4). The interval of variation for standard deviation of average ranks for tested maize hybrids was from 1.3 (ZP4, Ch) to 2 (ZP2) indicating satisfying accordance of utilized parametric and non-parametric stability measures. The highest average grain yield across all tested environments was observed for ZP1, which was second most stable hybrid. The most stable late maturity maize hybrid tested over ten environments was proven to be ZP6 with sum of ranks and average rank of 37 and 1.8, respectively, with standard deviation of average rank 1.5. PCA biplot showed two groups of parametric and non-parametric stability estimates: I group-coefficient of variation (CVi), Eberhart and Russel’s regression coefficient (bi), Perkins and Jinks’s regression coefficient (Bi), GEI variance component (θ(i)), coefficient of determination ( ); II group-Eberhart and Russel’s deviation from regression , Wricke’s ecovalence Shukla’s stability variance Perkins and Jink’s deviation from regression , superiority measure the mean of the absolute rank differences of a genotype over all tested environments the variance among the genotype ranks over all tested environments (the sum of the absolute deviations for each genotype relative to the mean of ranks , the sum of squares of rank for each genotype relative to the mean of ranks - Thennarasu non-parametric stability estimates, mean variance component (θi), Kang’s rank-sum (KRi). Pearson’s correlation bring along the redundant stability indices and one can choose to use or bi or Bi, or θi, or θi. PB - Beograd : Društvo genetičara Srbije T2 - Genetika T1 - Grain yield stability estimates of late maturity maize hybrids VL - 55 IS - 2 SP - 505 EP - 522 DO - 10.2298/GENSR2302505P ER -
@article{ author = "Pavlov, Jovan and Delić, Nenad and Čamdžija, Zoran and Branković, Gordana and Milosavljević ex Glišović, Nataša and Grčić, Nikola and Božinović, Sofija", year = "2023", abstract = "With global climate change including unpredictable geographic and temporal weather patterns that lead to significant genotype × environment interaction (GEI) the maize performance assessment would need to be complemented with stability analysis. The objectives of this study were: i) estimation of parametric and non-parametric stability indices for grain yield of late maturity maize hybrids, ii) assessing correlations and grouping of stability indices for grain yield of late maturity maize hybrids. The eight maize hybrids of FAO 700 maturity group (ZP1-ZP7, and check Ch) were evaluated for grain yield in the multi-environment trial including five locations in Serbia during 2020. and 2021. year. Stability analyses included twenty parametric and non-parametric indices, Principal Component Analysis (PCA) and Pearson’s correlations between stability indices. The sum of ranks for tested late maturity maize hybrids were in the interval from 37 (ZP6) to 146 (ZP4). The average rank was in the range from 1.8 (ZP6) to 7.3 (ZP4). The interval of variation for standard deviation of average ranks for tested maize hybrids was from 1.3 (ZP4, Ch) to 2 (ZP2) indicating satisfying accordance of utilized parametric and non-parametric stability measures. The highest average grain yield across all tested environments was observed for ZP1, which was second most stable hybrid. The most stable late maturity maize hybrid tested over ten environments was proven to be ZP6 with sum of ranks and average rank of 37 and 1.8, respectively, with standard deviation of average rank 1.5. PCA biplot showed two groups of parametric and non-parametric stability estimates: I group-coefficient of variation (CVi), Eberhart and Russel’s regression coefficient (bi), Perkins and Jinks’s regression coefficient (Bi), GEI variance component (θ(i)), coefficient of determination ( ); II group-Eberhart and Russel’s deviation from regression , Wricke’s ecovalence Shukla’s stability variance Perkins and Jink’s deviation from regression , superiority measure the mean of the absolute rank differences of a genotype over all tested environments the variance among the genotype ranks over all tested environments (the sum of the absolute deviations for each genotype relative to the mean of ranks , the sum of squares of rank for each genotype relative to the mean of ranks - Thennarasu non-parametric stability estimates, mean variance component (θi), Kang’s rank-sum (KRi). Pearson’s correlation bring along the redundant stability indices and one can choose to use or bi or Bi, or θi, or θi.", publisher = "Beograd : Društvo genetičara Srbije", journal = "Genetika", title = "Grain yield stability estimates of late maturity maize hybrids", volume = "55", number = "2", pages = "505-522", doi = "10.2298/GENSR2302505P" }
Pavlov, J., Delić, N., Čamdžija, Z., Branković, G., Milosavljević ex Glišović, N., Grčić, N.,& Božinović, S.. (2023). Grain yield stability estimates of late maturity maize hybrids. in Genetika Beograd : Društvo genetičara Srbije., 55(2), 505-522. https://doi.org/10.2298/GENSR2302505P
Pavlov J, Delić N, Čamdžija Z, Branković G, Milosavljević ex Glišović N, Grčić N, Božinović S. Grain yield stability estimates of late maturity maize hybrids. in Genetika. 2023;55(2):505-522. doi:10.2298/GENSR2302505P .
Pavlov, Jovan, Delić, Nenad, Čamdžija, Zoran, Branković, Gordana, Milosavljević ex Glišović, Nataša, Grčić, Nikola, Božinović, Sofija, "Grain yield stability estimates of late maturity maize hybrids" in Genetika, 55, no. 2 (2023):505-522, https://doi.org/10.2298/GENSR2302505P . .