Adaptability and Stability of Corn Hybrids in Southern Brazilian Environments

Busanello, Carlos; Souza, Velci Queiróz de; Oliveira, Antônio Costa de; Nardino, Maicon; Baretta, Diego; Caron, Braulio Otomar; Schmidt, Denise; Oliveira, Victoria Freitas de; Konflanz, Valmor Antônio

doi:10.5539/jas.v7n9p228

Cited by 5 publications

(6 citation statements)

References 13 publications

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“…The results obtained in this research revealed that experiments with a high percentage of CV are not unlikely to obtain coherent and accurate conclusions, since scenarios with more than 4 replicates and 15 treatments maintain high test power F, that is, low probability of error type I, mainly for effects greater than 240 kg ha -1 , which are often obtained in VCU corn experiments (BUSANELLO et al, 2015;BARETTA et al, 2016a;BARETTA et al,2016b).…”

Section: Discussionmentioning

confidence: 73%

Coefficient of Variation: A New Approach for the Study in Maize Experiments

et al. 2020

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The magnitude of the variation coefficient (CV) is insufficient to validate the quality of the experiment, regardless of the number of treatments, repetitions and effect of treatments. The objective was to develop a new approach to the study of coefficient of variation, as well as evaluations of these nuances with applicability in new scientific research. The study was conducted via computer simulation. The replicates (r) ranged from 2, 3, 4, 5, 10 to 20. The treatment number (t) ranged from t 5, 10, 15, 20, 25 and 30. In each of these combined scenarios we have the variation of 25 different CVs, ranging from 1, 3, 5, 7, ..., 49 to 51 %. It was imposed the variation of 11-1 treatment effects 0, 240, 480, 720, ..., 2000, 2400 kg ha-1, totaling 9,900.00 scenarios. The type I error is statistically invariant in the scenarios studied. With high treatment effect the CV has no implications on the power of the test (1-β). The results obtained in this research reveal that experiments with a high percentage of CV are sufficient to obtain high probabilities of the power of the F test, which do not compromise the complementary analyzes.

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Section: Discussionmentioning

confidence: 73%

Coefficient of Variation: A New Approach for the Study in Maize Experiments

et al. 2020

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“…The performance of KY. genotypes across different environment due to kernel yield for adaptability and stability present the parent 5 was found to be stable, recording the mean value 2.02 t/h with bi= 0.66, and S2di= -0.58, while the crosses 1 x 4, 2 x 8, and 3 x 7 was found to be adaptable, recording the mean value 5.16 t/h bi= 1.50, S 2 di=-0.35, 4.72 t/h bi= 1.91, S 2 di=0.61, and 4.84 t/h, bi=1.28, S 2 di=-0.04 respectively. Several previous studies reported significant differences among genotypes for grain yield, and yield-related traits in different sets of maize genotypes [9,[27][28][29] . Indicative of whether one or more estimates should be obtained for accurate predictions of cultivar behavior is the degree of association among adaptability or stability estimates of various models.…”

Section: Resultsmentioning

confidence: 99%

Multi-Environment Test for Stability and Adaptability Using Line X Tester Crossing Design in Maize

Mohammed¹,

Towfiq²

2022

PJBAS

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Stability and adaptability are two main Characteristics that affect most field crops' growth and yield. maize is mainly affected and highly sensitive to environmental conditions. Therefore, the present study aimed to evaluate the stability and adaptability of maize crop genotypes for some agronomic traits related to kernel yield under four different environmental conditions. The field experiments consisted of 9 parents and 20 maize hybrids and were evaluated in randomized block design during the autumn and spring seasons at each location of Kalar and Khanaqeen. Genetic analysis of stability and adaptability according to the methodology of Eberhart and Russel regression coefficient (bi) and Elsahookie, and Al-Rawi genotypic resultant (GR) were performed based on the average of all environments. Results indicated that the cross HS x 844 was stable and showed maximum value of genotypic resultant to kernel yield according to ElSahookie and Al-Rawi, while the crosses 4218 x zp-595, zp-430 x zp-595 and HS x sym-5 were adaptable for this trait according to Eberhart and Russell.

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“…This method also allows one to classify the environments as favorable and unfavorable according to the environmental index. High adaptability and stability hybrids have better agronomic performance and commercial viability (Busanello, et al 2015) When this index results in a negative value, it indicates that the environment is unfavorable and when the index is positive, the environment is classified as favorable. Favorable sites occur due to the influence of the environment, which, in the case of corn crop, probably went through some biotic or abiotic stress.…”

Section: Discussionmentioning

confidence: 99%

Research Article Adaptability and stability of corn hybrids in the off season across various agricultural regions in Brazil

Mijone¹,

Nogueira²,

Hamawaki³

et al. 2019

Genet. Mol. Res.

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We evaluated how genetic x environment (G x E) interactions affect grain productivity in corn hybrids grown in traditional and non-traditional environments in the off or "second" season. Adaptability and stability of the hybrids was examined by parametric, nonparametric and multivariate methods. In 2016, 24 hybrids were evaluated in seven environments, in 2017, 13 hybrids were evaluated in six environments. The environments were located between the regions of Southwestern and Southeast Goiás state; Triângulo Mineiro and Alto Paranaíba, in the western and northwestern regions of Minas Gerais state. In all trials, complete randomized blocks were adopted, and grain productivity was determined. The statistical analyses were performed with two different softwares: Estabilidade and Genes. It was observed that in both seasons, the locals considered as traditional corn cultivation in the off season Jataí-GO and Montividiu-GO gave ©FUNPEC-RP www.funpecrp.com.br Genetics and Molecular Research 18 (3): gmr18193 A.P. Mijone et al. 2 the highest yields, with average yields higher than national averages, producing 3859 kg.ha-1 in 2016 and 5562 kg.ha-1 in 2017. The methods of Eberhart and Russell, Lin and Binns modified by Carneiro, Centroid and AMMI gave similar results in the rankings of the adaptation and stability of the hybrids. We concluded that the G x E interaction for grain productivity of corn hybrids grown in the off-season is complex in nature.

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Adaptability and Stability of Corn Hybrids in Southern Brazilian Environments

Cited by 5 publications

References 13 publications

Coefficient of Variation: A New Approach for the Study in Maize Experiments

Coefficient of Variation: A New Approach for the Study in Maize Experiments

Multi-Environment Test for Stability and Adaptability Using Line X Tester Crossing Design in Maize

Research Article Adaptability and stability of corn hybrids in the off season across various agricultural regions in Brazil

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