Agronomic performance of super-sweet corn genotypes in the north of Rio de Janeiro

Santos, Pedro Henrique Araújo Diniz; Pereira, Messias Gonzaga; Trindade, R. dos S.; Cunha, Keila Silva da; Entringer, Geovana Cremonini; Vettorazzi, Júlio Cesar Fiorio

doi:10.1590/s1984-70332014000100002

Cited by 25 publications

(16 citation statements)

References 12 publications

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“…The highly significant differences among the accessions for all the traits indicate sufficient diversity among them which can be exploited through selection. Significant differences among the accessions for all the studied traits were also noticed by Barman et al (1995) Santos et al (2014b). In a breeding program, quantification of genetic variability of a population is a determining factor since it reveals the genetic structure of the populations (Santos et al, 2014a).…”

Section: Analysis Of Variancesupporting

confidence: 60%

Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.) accessions

Meena

Bahadur

Jagtap

et al. 2015

JANS

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Abstract:In the present study, thirty accessions of tomato were evaluated for estimation of correlation and path analysis among various quantitative and qualitative characters related to fruit yield. There were highly significant differences among the accessions for all the characters studied as per the analysis of variance. Genotypic correlation coefficients were generally similar in nature and higher in magnitude than the corresponding phenotypic correlation coefficients. The results revealed that the fruit yield plant -1 was significantly and positively correlated with number of fruits plant -1 (0.3119 and 0.3184) followed by fruit set percentage (0.2434 and 0.2499), fruit weight (0.6766 and 0.6731), polar diameter of fruit (0.4687 and 0.4635) at genotypic and phenotypic level, respectively, indicating that effective improvement in fruit yield plant -1 through these characters could be achieved. Fruit weight showed positive and significant genotypic and phenotypic correlation with fruit yield plant -1 by having greatest positive direct effect (1.1298 and 1.1116) on fruit yield plant -1 at both levels, indicating the true relationship between them and the feasibility to exploit the potentiality of this trait for effective direct selection to improve fruit yield plant -1 .

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Section: Analysis Of Variancesupporting

confidence: 60%

Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.) accessions

Meena

Bahadur

Jagtap

et al. 2015

JANS

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“…This observed yield potential reflects the great prospects that abound for sweet corn production in Nigeria. The findings of this study confirmed previous reports (Cartea et al, 1996;Malvar et al, 1997Malvar et al, , 2001Tracy, 2001;Butrón et al, 2008;Santos et al, 2014;Entringer et al, 2017) on the potential of tropical field maize genotypes in the improvement of sweet corn.…”

Section: Discussionsupporting

confidence: 92%

“…In the genome of sweet corn, at least one of the eight mutant genes preventing the conversion of sugars to starch is present. These genes, which include shrunken-2 (sh2) on chromosome 3; brittle (bt), and amylose extender (ae) on chromosome 5; sugary enhancer (se), sugary (su), and brittle-2 (bt2) on chromosome 4; dull (du) on chromosome 10; and waxy (wx) on chromosome 9 (Tracy et al 2006, Qi et al, 2009) are monogenic and recessive (Santos et al, 2014). Of all the mutant types, sh2 (Yousef and Juvik, 2002) and bt2 (Brewbaker, 1977) have the greatest commercial value.…”

Section: Introductionmentioning

confidence: 99%

Field performance of shrunken-2 super-sweet corn populations derived from tropical field maize shrunken-2 super-sweet corn crosses in Ibadan, Nigeria

Abe¹,

Lasisi²,

Akinrinbola³

2019

J. Plant Breed. Crop Sci.

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The conversion of tropical field corn genotypes into sweet corn could broaden the genetic base and improve yield and adaptation of sweet corn varieties. In this study, the performance of shrunken-2 (sh2) super-sweet corn populations derived from crosses between a sh2 population and tropical field corn genotypes were evaluated in Ibadan. Experiments were conducted using randomised complete block design with three replicates. Data were collected on agronomic and fresh ear yield traits, and then subjected to analysis of variance. Significant genotypic differences were observed among the populations with most of the derived populations significantly superior to the donor population for most of the traits. Yield of marketable cobs ranged from 5.80 to 7.63 t/ha (mean = 6.84 t/ha). Six derived populations had significantly higher yield of marketable cobs than the donor population. On the average, 83.1% of the number of cobs harvested was marketable. Husk cover scores ranged from 2.8 to 6.8, with all the derived populations having significantly lower husk cover scores than the donor population. The results indicated that the conversion of the field corn genotypes into super-sweet corn was effective in the development of new super-sweet corn populations. The observed genetic differences could be exploited in further breeding programmes.

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“…These results have shown the prevalence of non-additive effects on corn ear yield (Table 1), as well as have corroborated the studies conducted by Machado et al (2009) and Santos et al (2014). On the other hand, the contribution from the GCA square sums to the ED and CD variables was relatively higher than that from SCA, fact that indicated the greater importance of additive effects and explained the 52.4% to 70.5% variation.…”

Section: Analysis Of Variance and The Significance Of The Diallel Anasupporting

confidence: 86%

Combining ability for traits associated with yield and quality in super sweet corn (Zea mays L. saccharata)

Durães¹,

Crevelari²,

Vettorazzi³

et al. 2017

Aust J Crop Sci

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Most commercial super sweet corn lines focus on simple hybrids. Information about the general combining ability (GCA) and about the specific combining ability (SCA) are relevant for hybrid development. The aim of the present study is to estimate the general and specific combining ability effects associated with yield and quality traits of super sweet corn. Nine lines (Flint) and ten lines (Dent) were crossed in a partial diallel fashion to produce 90 F 1 hybrids. The hybrids and ten checks were assessed through the duplicate simple lattice design, with four repetitions, in two environments of Rio de Janeiro State, during the 2015 season. Data of six agronomic traits associated with yield, and five traits associated with quality were recorded. The results showed that GCA and SCA were significant (P ≤0.01) for almost all herein studied traits. The relative magnitude of GCA and SCA mean squares indicated the prevalence of additive effects for the quality traits, as well as non-additive effects for yield traits. The GCA and SCA (P≤0.01) interactions showed different genotype responses to the different environments. The "Flint" L1 inbred line presented the highest concentration of alleles favoring the increment for most of the traits. This line was the most suitable for the formation of new supersweet hybrids. Three crosses (L8 x L18, L1 x L13 and L6 x L15) showed desirable SCA effects for almost all traits. These crosses are valuable and could be used in corn breeding programs in order to achieve high yielding and quality combinations.

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Agronomic performance of super-sweet corn genotypes in the north of Rio de Janeiro

Abstract: -

Cited by 25 publications

References 12 publications

Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.) accessions

Genetic analysis of agronomic and biochemical variables among different tomato (Solanum lycopersicum L.) accessions

Field performance of shrunken-2 super-sweet corn populations derived from tropical field maize shrunken-2 super-sweet corn crosses in Ibadan, Nigeria

Combining ability for traits associated with yield and quality in super sweet corn (Zea mays L. saccharata)

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