Genetic variance components and GGE interaction of tropical maize genotypes under Northern leaf blight disease infection

Ohunakin, Akinlolu O.; Odiyi, A. C.; Akinyele, B. O.

doi:10.1007/s42976-020-00100-6

Cited by 5 publications

(26 citation statements)

References 19 publications

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“…The results of nonparametric stability statistics for grain yield of 20 maize genotypes evaluated across five test environments are presented in Table 5. The S i (1) and S i (2) of the evaluated genotypes showed that genotypes G2 and G20 had the lowest value, while genotype G5 was the highest. For S i (3) nonparametric statistics, genotype G20 had the lowest value, followed by genotype G6, while the highest value for S i (3) was by genotype G5 followed by genotype G15.…”

Section: Nonparametric Measures Of Stabilitymentioning

confidence: 97%

“…Helminthosporium turcicum Pass.). NLB disease infection can cause up to 100% reduction in grain yield depending on the variety and infection stage [2].…”

Section: Introductionmentioning

confidence: 99%

“…A stable genotype does not vary from the general response to environments, allowing a predictable response. Stability variance (σi 2 ) and regression coefficient (bi) can estimate type 2 stability [11,12]. [10] reported Type 3 as part of the dynamic or agronomic stability concept.…”

Section: Introductionmentioning

confidence: 99%

“…According to [22], stable genotypes are those whose position regarding other genotypes is not altered across test environments. [22] proposed four nonparametric statistics of phenotypic stability (S i (1) , S i (2) , S i (3), and S i (6) ) according to genotypes classification over environment. [23] recommended a nonparametric superiority estimate.…”

Section: Introductionmentioning

confidence: 99%

“…These nonparametric statistics ascribe a weight of one to both yield and stability and facilitates the identification of high-yielding and stable genotypes. [26] suggested nonparametric statistics NP i (1) , NP i (2) , NP i (3), and NP i (4) according to cultivars adjusted means ranking over environment. This study aims to (i) estimate genotype × environment interaction (GEI) of grain yield in selected maize genotypes, and (ii) identify related stability parameters to rationalize stability analysis in Multi Environment Trial (MET) data in breeding programs.…”

Section: Introductionmentioning

confidence: 99%

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Parametric and Non-parametric Procedures for Identifying Stable and Adapted Tropical Maize Genotypes in NLB Disease Infested Environments

Ohunakin¹,

C.²,

O.³

et al. 2021

AJBIO

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Multi-locational trials are critical for establishing stable and adaptable genotypes across different geographic areas prior to considering commercial release. The stability and adaptation of 20 tropical maize hybrids in environments infected with Northern leaf blight disease were assessed using 12 parametric and 14 nonparametric parameters across five environments. The purpose of this research is to estimate the genotype-environment interaction (GEI) for grain yield in selected maize genotypes and to identify associated stability factors to aid in the rationalization of stability analysis in Multi-Environment Trial (MET) data used in breeding programs. Except for De Kroon and Van der Laan (1981), both the combined ANOVA and nonparametric tests of GEI showed significant differences across hybrids, as well as significant crossover and non-crossover interactions. This suggests differential genotypes responses to the test environments. Spearman correlation analysis revealed significant differences between many nonparametric and parametric parameters, indicating that the two may be utilized interchangeably. Additionally, the correlation matrix and principal component analysis results from parametric and nonparametric parameters demonstrated their potential to assess the responses of maize genotypes to changing environments. G13 and G20 appeared most phenotypically stable with associated high mean yield based on the high values expressed by most parametric and nonparametric parameters.

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Section: Nonparametric Measures Of Stabilitymentioning

confidence: 97%

“…Helminthosporium turcicum Pass.). NLB disease infection can cause up to 100% reduction in grain yield depending on the variety and infection stage [2].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Parametric and Non-parametric Procedures for Identifying Stable and Adapted Tropical Maize Genotypes in NLB Disease Infested Environments

Ohunakin¹,

C.²,

O.³

et al. 2021

AJBIO

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Introducing a cut-stem inoculation method for fast evaluation of sunflower resistance to Macrophomina phaseolina

et al. 2022

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The fast adaptation to different growing conditions of a fungus Macrophomina phaseolina, led to its becoming one of the sunflower (Helianthus annuus L.) disease causal agents in regions with a temperate climate.Methods currently used to determine sunflower resistance require laborious manual inoculation and confirmation of pathogen appearance, due to the late stage of testing. The paper proposes a cut-stem method for inoculating sunflower plants in the controlled conditions and the possibility of early-stage disease evaluation. A set of 15 sunflower inbred lines was inoculated using M. phaselolina isolate in the growth chamber and the obtained data were analysed using Cut-stem Disease Severity (CSDS) and compared with disease severity obtained from field experiments using traditional inoculation methods (toothpick, Unwounded Stem Base Inoculation (USBI) and non-inoculated plants).The results showed that, based on CSDS, inbred lines infected with the cut-stem inoculation method significantly differed regarding resistance to M. phaseolina. None of the inbred lines exhibited complete resistance but three lines could be proposed as a source of resistance to this pathogen. Ranking of inbred lines which was based on resistance to M.phaseolina was similar in all inoculation methods and in non-inoculated plants. There were highly significant correlations between the values obtained from growth chamber experiment and disease severity scores from field evaluations. Thus, the obtained results indicate that the cut-stem method could potentially complement field testing methods and be valuable tool in sunflower breeding for resistance to М. phaseolina.

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Performance and stability analysis of forage sorghum [Sorghum bicolor (L.) Moench] genotypes targeted to arid and semi-arid environments

Khazaei

Golzardi

Ghasemi

et al. 2022

CEREAL RESEARCH COMMUNICATIONS

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Genetic variance components and GGE interaction of tropical maize genotypes under Northern leaf blight disease infection

Cited by 5 publications

References 19 publications

Parametric and Non-parametric Procedures for Identifying Stable and Adapted Tropical Maize Genotypes in NLB Disease Infested Environments

Parametric and Non-parametric Procedures for Identifying Stable and Adapted Tropical Maize Genotypes in NLB Disease Infested Environments

Introducing a cut-stem inoculation method for fast evaluation of sunflower resistance to Macrophomina phaseolina

Performance and stability analysis of forage sorghum [Sorghum bicolor (L.) Moench] genotypes targeted to arid and semi-arid environments

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