Effect of recombination in the maize breeding population with exotic germplasm on the yield stability

Zivanovic, Tomislav; Branković, Gordana; Zorić, Miroslav; Momirovic, Gordana Surlan; Janković, Snežana; Vasiljević, Sanja; Pavlov, J.

doi:10.1007/s10681-011-0600-1

Cited by 4 publications

(3 citation statements)

References 29 publications

(29 reference statements)

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“…The studied genotypes showed cross over types of GE interaction while environments showed both cross over and non-cross over types of GE interaction (Table 3). The relative contributions of G and GE interaction effects to the total variation for grain yield found in this study are in agreement with those found in other crop adaptation studies such as cereals or food legumes in rain-fed environments (Alagarswamy and Chandra, 1998;Balalić et al, 2011;Ceccarelli and Grando, 1991;Mohammadi et al, 2007;Sabaghnia et al, 2008;Živanović et al, 2012). Therefore, it would be very difficult to achieve an indirect response to selection over all of the canola target population of environments from selection in a few environments, ignoring the observed GE interactions. )…”

Section: Analysis Of Variance and Nature Of Ge Interactionsupporting

confidence: 92%

Nonparametric Stability Analysis in Multi-Environment Trial of Canola

Mortazavian¹,

Azizinia²

2014

Turkish Journal of Field Crops

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Rapeseed is the world's second most important source of vegetable oils. Development of genotypes having high seed yield with stable performance is of paramount importance. In the present investigation seventeen genotypes were grown at seven locations during two growing seasons in semi-cold regions of Iran. Data recorded on seed yield were subjected to different nonparametric measures which do not require distributional assumptions. Results of nonparametric tests of G, E and GE interaction and a combined ANOVA across environments showed there were both cross over and non-cross over interactions for G and E and only non-cross over type for GE interaction. In this study, high values of Top (proportion of environments in which a genotype ranked in the top third) and mean of rank were associated with high mean yield. However Rank-sum measure was successful to detect genotypes showing simultaneous high yield and yield stability. Cluster analysis and principal component (PC) analysis help to group genotypes and measures and they revealed association among different statistics. Finally, among nonparametric measures, Top, Si(1) and Ranksum statistics of nonparametric procedures were found to be useful in detecting the stability of the genotypes. According to these parameters Geronimo was found as stable and high yield canola genotype.

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Section: Analysis Of Variance and Nature Of Ge Interactionsupporting

confidence: 92%

Nonparametric Stability Analysis in Multi-Environment Trial of Canola

Mortazavian¹,

Azizinia²

2014

Turkish Journal of Field Crops

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“…Such results show that the used testers did not bring significant increase in stability in either of the analyzed half-sib populations. Even though there were no available previous studies on the effect of testers on the maize population stability by using non-parametric stability indices, ŢIVANOVIĆ et al (2012) used this method and parameters S i (1) , S i…”

Section: Stability Analysismentioning

confidence: 99%

Non-parametric approach to the analysis of phenotypic stability of two half-sib maize populations

et al. 2018

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One of the most important phases in commercial maize breeding programs is the assessment of the value of newly-developed progeny by testing in hybrid combinations. In this study, non-parametric stability measures were applied to analyze the genotype ? environment interaction and to assess phenotypic stability of two half-sib maize populations, each consisting of 40 genotypes, across 9 variable environments. Non-parametric tests of significance determined the presence of qualitative interaction for grain yield in both observed populations. Results of the stability analysis showed no significant differences between the two progeny groups indicating that the used testers did not bring significant increase in stability in either of the analyzed half-sib populations. Individual genotypes were also compared based on grain yield stability within both progeny groups using the stability parameters Si(1), Si(2), Si(3) and Si(6). Association between the grain yield and stability indices Si(1) and Si(2) of the analyzed genotypes was presented graphically enabling the identification of genotypes which can be recommended for further breeding process as the most promising ones. The correlations between grain yield and stability parameters were tested by Spearman?s rank correlations. Both progeny groups (HS1 and HS2) showed no significant correlations between the grain yield and stability parameters Si(1) and Si(2), but the rank correlations between Si(1) and Si(2) values were very strong and highly significant. Highly significant negative correlations were found between grain yield and stability indices Si(3) and Si(6) in both progeny groups, and very strong and highly significant correlations were found between Si(3) and Si(6) values.

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“…The introduction of exotic germplasm, using its abundant genetic variation and good agronomic traits, is therefore essential to solve the narrow genetic base for maize improvement in China (Wen et al, 2012 ). However, it is necessary to make a comprehensive evaluation on the genetic diversity and population structure of exotic germplasm (Tarter et al, 2004;Šarčević et al, 2008;Živanović et al, 2012). Molecular markers can be employed to investigate levels of genetic diversity and population structure among maize inbred lines and breeding materials.…”

Section: Introductionmentioning

confidence: 99%

Genetic Diversity and Population Structure Among 98 Maize Inbred Lines Investigated With SSR Markers

Zhang¹

2017

Appl. Ecol. Env. Res.

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The conversion of exotic germplasm into domestic maize breeding materials is essential to solve the narrow genetic base for maize improvement in China. The present study applied SSR markers and three complementary cluster methods (STRUCTURE, UPGMA and PCoA) to 98 foreign hybridselected lines for effective hybrid breeding. A total of 450 alleles, with an average of 3.98 alleles per locus, were detected. Among 10 chromosomes, there were 13-19 loci and 33-59 alleles with averaged alleles 2.54~3.43 per chromosome. The polymorphism information content (PIC) among 10 chromosomes ranged from 0.4504~0.5582 and 69.4% PIC variation were explained by allele number/Locus. The highest PIC was observed in chromosome 7 (0.5582) and the lowest in chromosome 8 (0.4965). The STRUCTURE clustering analysis grouped the test lines into four subpopulations (i.e. REID, Lancaster, P and Domestic) in accordance with UPGMA and PCoA clustering. The higher genetic diversity were detected among the inbred lines in P and Domestic subpopulations. The allele frequencies, gene diversity and population structure obtained in the present study lead us to conclude that the 98 inbred lines derived from foreign hybrid-selected lines contain extensive genetic variation and are a valuable resource for Chinese maize breeding. The result obtained in the present study will assist in effective utilization of the lines in Chinese hybrid maize breeding programs.

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Effect of recombination in the maize breeding population with exotic germplasm on the yield stability

Cited by 4 publications

References 29 publications

Nonparametric Stability Analysis in Multi-Environment Trial of Canola

Nonparametric Stability Analysis in Multi-Environment Trial of Canola

Non-parametric approach to the analysis of phenotypic stability of two half-sib maize populations

Genetic Diversity and Population Structure Among 98 Maize Inbred Lines Investigated With SSR Markers

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