Adaptability and stability of carotenoids in maize cultivars

Rios, Sara de Almeida; Paes, M. C. D.; Borém, Aluízio; Cruz, Cosme Damião; Guimarães, P. E. de O.; Schaffert, R. E.; Cardoso, Wilton Soares

doi:10.12702/1984-7033.v09n04a05

Cited by 11 publications

(10 citation statements)

References 12 publications

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“…Similar results have been reported by Cardoso et al (2009), Rios et al (2009), andEgesel et al (2003a). When the entries were divided into diallel hybrids and local checks, the local checks did not show significant differences in grain yield and b-cryptoxanthin and a-carotene contents.…”

Section: Resultssupporting

confidence: 87%

Diallel analysis of maize inbred lines for carotenoids and grain yield

et al. 2011

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Vitamin A deficiency causes xerophthalmia in preschool-aged children worldwide. The objective of this study was to estimate the genetic parameters that would be useful in selecting parent plants for developing productive hybrids with higher levels of provitamin A in the maize kernel. A complete 7 9 7 diallel mating scheme was used to generate 21 single-cross hybrids. The F 1 crosses and check hybrids were evaluated in complete block design across three different Brazilian environments, and carotenoid content was analyzed by high performance liquid chromatography. General combining ability effects were significant for all traits except a-carotene This result indicates that the contribution of the additive effect was more important for provitamin A and other carotenoids and, consequently that there is high chance of improving this trait through recurrent selection methods. Line 3 produced the highest level of kernel provitamin A among the inbred lines evaluated and also demonstrated the potential to contribute to the development of genetic materials with a good performance for provitamin A. Inbred lines 1, 6, and 7 showed a higher concentration of favorable alleles for grain yield, and inbred lines 3 and 6 exhibited a higher concentration of favorable alleles for b-carotene. Hybrid 1 9 3 performed well in terms of provitamin A and grain yield and combination 2 9 3 was the best performer in terms of lutein content.

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Section: Resultssupporting

confidence: 87%

Diallel analysis of maize inbred lines for carotenoids and grain yield

et al. 2011

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“…Rios et al (2009) , taken as a reference for comparisons (Weber, 1987;Kurilich and Juvik, 1999;Hulshof et al, 2007), were above and below the values found in the present work.…”

Section: Resultscontrasting

confidence: 56%

Genetic variability for carotenoid content of grains in a composite maize population

Kist

Albino

Maraschin

et al. 2014

Sci. agric. (Piracicaba, Braz.)

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Local maize (Zea mays L.) varieties are cultivated by small-scale farmers in western Santa Catarina (SC) State, in southern Brazil. These small areas frequently present many problems related to biotic and non-biotic stresses, which have limited the economic output and income of the farmers. Production from local varieties for human consumption would be an alternative way of improving income and stimulating on farm conservation. The genetic variability of the total carotenoid content (TCC) of kernels in a local maize population was evaluated for their economic exploitation potential as biofortified food. Two independent samples of 96 half-sib families (HSF) plus four checks were evaluated in two groups of experiments in western SC and each one was carried out in two environments. They were set out in a 10 × 10 partially balanced lattice with three replications per location; plots consisted of one row, 5.0 m long with 1.0 m between rows. TCC ranged from 11 to 23 µg g -1 , averaging ≈16 µg g -1 in the pooled analysis over the two sets. The local composite population exhibited genetic variability in order to increase the TCC of grains in the second cycle of selection by the convergent-divergent scheme.

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“…Among these is the method proposed by Eberhart and Russell (1966), based on linear regression analysis, which among its advantages includes ease of application and interpretation of results. The recommendation of maize cultivars based on this method has been successfully employed by several authors (CARGNELUTTI FILHO et al, 2009;MIRANDA et al, 2009;OLIVEIRA;MOREIRA;FERREIRA, 2013;RIOS et al, 2009;SCAPIM et al, 2010), and recently, Carvalho et al (2014) used this method to study the adaptability and stability of 16 maize genotypes in the state of Tocantins, and classify them as to production objective: either grain or green weight.…”

Section: Introductionmentioning

confidence: 99%

Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil

Faria

Luz

Rodrigues

et al. 2017

Revista Ciência Agronômica

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The aim of this study was to evaluate the adaptability and stability of 29 commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil, employing three methods. The 29 commercial maize hybrids from the 2014/2015 crop were evaluated for grain yield in five locations in the southeast of Minas Gerais. A randomised-block design was used, with two replications. Each lot comprised two rows, five meters in length, at a spacing of 0.80 m, giving an effective area of 8.00 m2. In addition to individual and combined variance analysis, the methods of Eberhart & Russell (1966), AMMI (Additive Main Effects and Multiplicative Interaction Analysis) and mixed models were used to evaluate the adaptability and stability of the 29 hybrids. There was a significant difference (P<0.01) for the effects of hybrid, environment and the hybrid x environment interaction. The majority of the hybrids under evaluation displayed broad adaptability with good stability. It was concluded that the Eberhart & Russell, AMMI and mixed-model methods show similar results in classifying maize hybrids of broad adaptability. There is a difference in indicating hybrids with specific adaptability to favourable and unfavourable environments. Based on the three methods, the hybrids SHS7920PRO, BM709PRO2, BRS1055 and BM650PRO2 show a general adaptability for the environments under evaluation.

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Adaptability and stability of carotenoids in maize cultivars

Abstract: - Eberhart and Russell (1966), Lin and Binns (1988) and Rocha et al. (2005) were used to analyze adaptability and stability. In general, the linear regression model proposed by Eberhart and Russell (1966)

Cited by 11 publications

References 12 publications

Diallel analysis of maize inbred lines for carotenoids and grain yield

Diallel analysis of maize inbred lines for carotenoids and grain yield

Genetic variability for carotenoid content of grains in a composite maize population

Adaptability and stability in commercial maize hybrids in the southeast of the State of Minas Gerais, Brazil

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