Genotypic stabilization of agronomic traits in Panicum maximum (Jacq.) hybrids

Braz, Thiago Gomes dos Santos; Fonseca, Dilermando Miranda da; Jank, Liana; Cruz, Cosme Damião; Martuscello, Janaína Azevedo

doi:10.1590/s1806-92902015001100001

Cited by 4 publications

(6 citation statements)

References 6 publications

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“…2, through ANOVA and Principal Component Correlation (PCCor) methods, respectively. ANOVA consistently came up with the lowest estimates while PCCor the highest, similar to other reports (Martuscello et al, 2007, Lédo et al, 2008, Braz, Fonseca, Jank, Cruz, & Martuscello, 2015. The magnitude of the estimates in Exp.…”

Section: Resultssupporting

confidence: 89%

“…This may be because harvest 3 was done at the end of the rainy season, harvest 4 in the dry season, and harvest 5 at the end of the dry season. Both, Braz, Fonseca, Jank, Cruz, and Martuscello (2015) and Martucscello et al (2015) also reported similar results, in which dry season harvests decrease the repeatability coefficient estimates. In Exp.…”

Section: Resultsmentioning

confidence: 58%

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<b>Repeatability, number of harvests, and phenotypic stability of dry matter yield and quality traits of Panicum maximum jacq.

Fernandes

Braga

Ramos

et al. 2017

Acta Sci. Anim. Sci.

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ABSTRACT. Selection of superior forage genotypes is based on agronomic traits assayed in repeated measures. The questions are how repeatable the performance of individual genotypes is and how many harvests are needed to select the best genotypes. The objectives were to estimate repeatability coefficients of dry matter yield (DMY) and forage quality, their phenotypic stability and the number of harvests needed for an accurate selection. Two randomized complete block design experiments data with 24 genotypes each, undergoing 12 and 16 harvests, over a period of 2 and 3 years, respectively, were used. The DMY repeatability estimates ranged from 0.42 to 0.55, suggesting a low heritability. The mean numbers of repeated measures were 5 and 7 harvests for 0.80 and 0.85 accuracy, respectively. The inclusion of the first two harvests negatively affects the estimates. Repeatability for quality traits ranged from 0.30 to 0.69, indicating low to moderate heritability.Keywords: repeated measures, selection efficiency, selection effectiveness.Repetibilidade, número de colheitas e estabilidade fenotípica da produção de matérica seca e de características de qualidade de Panicum maximum jacq. RESUMO.A seleção de genótipos superiores em forrageiras é feita para características agronômicas analisadas em medições repetidas no tempo. As questões estão relacionadas à repetibilidade do desempenho dos genótipos e ao número necessário de colheitas para selecionar aqueles superiores. Os objetivos foram estimar coeficientes de repetibilidade da produção de matéria seca (PMS) e de características de qualidade da forragem, a estabilidade fenotípica e o número de colheitas necessárias para uma seleção mais precisa. Dois experimentos em blocos casualizados com 24 genótipos cada um, submetidos a 12 e 16 colheitas, durante um período de dois e três anos, respectivamente, foram utilizados para o estudo. As estimativas de repetibilidade de PMS variaram de 0,42 a 0,55, sugerindo baixa herdabilidade. Os números de colheitas foram cinco e sete para 0,80 e 0,85 de acurácia, respectivamente. A inclusão das duas primeiras colheitas afeta negativamente as estimativas de PMS. A repetibilidade para as características de qualidade variou de 0,30 a 0,69, indicando baixa à moderada herdabilidade.Palavras-chave: medidas repetidas, eficiência de seleção, eficácia de seleção.

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Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 58%

<b>Repeatability, number of harvests, and phenotypic stability of dry matter yield and quality traits of Panicum maximum jacq.

Fernandes

Braga

Ramos

et al. 2017

Acta Sci. Anim. Sci.

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“…The repeatability estimates for fruit weight ranged from 0.29 to 0.45, in Padre Bernardo population, and from 0.51 to 0.61 in the municipality of Goiás population, by the analysis of variance, and by the principal component correlation methods, respectively. The analysis of variance consistently came up with the lowest estimates, while the principal component covariance, with the highest ones, similarly to other reports (Martuscello et al, 2007;Lédo et al, 2008;Braz et al, 2015;Fernandes et al, 2017).…”

Section: Resultssupporting

confidence: 88%

Repeatability of fruit traits from two Hancornia speciosa populations from the core region of the Brazilian Cerrado

Fonseca

Morais

Gonçalves

et al. 2018

Pesq. agropec. bras.

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The objective of this work was to estimate the repeatability coefficients of mangaba (Hancornia speciosa) fruit traits, in order to define the number of fruit needed for an accurate selection of superior genotypes, as well as to conjecture about the nature of the phenotypic variation of these traits. Evaluations were performed for 160 fruit of 16 genotypes from two native H. speciosa populations of Goiás Velho and Padre Bernardo, in the state of Goiás, Brazil. Repeatability was estimated by the analysis of variance, principal component analyses based on covariance and on the correlation matrix, and structural analysis based on the correlation matrix. Repeatability estimates for fruit weight, diameter, and length, as well as seed number and weight, were of low magnitude, from 0.02 to 0.62, indicating low heritability. Repeatability estimates for ºBrix, titratable acidity, and ºBrix/acidity ratio were higher, from 0.34 to 0.91, indicating a low to potentially moderate heritability. The number of fruit for an effective selection of the best genotypes for titratable acidity, ºBrix, ºBrix/acidity ratio, and fruit weight is four for a 0.85 accuracy level. However, seven fruit would allow 0.90 accuracy for the same traits, and 0.85 accuracy for fruit length and diameter. The number and weight of seed per fruit are not effective for predicting the real value of a genotype.

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“…Genotypic stabilization studies are also important tools in the evaluation of perennial crops, since during the first harvests, when the plants are still young, a low expression of genes which are important for critical characteristics in the productive phase may occur (Pereira et al, 2002) and thus jeopardize the evaluation process. In addition, the establishment of forages in the field and the change in management in early phases of the research may also result in differential expression of genes that modify the productive response and lead to errors in the evaluation process (Braz et al, 2015a).…”

Section: Researchmentioning

confidence: 99%

“…We believe that after the first harvests (1 and 2) and the harvests of the first dry season (3 and 4), plants were already in a condition of more advanced physiological maturity or with full establishment of root system and aerial part, which led to greater uniformity of the response throughout successive defoliations. These conditions may represent the full expression of genes responsible for yield characteristics, so desired in the productive phase of forage plants, as discussed by Pereira et al (2002) and Braz et al (2015a).…”

Section: S%mentioning

confidence: 99%

Repeatability and genotypic stability of agronomic characteristics in Panicum maximum Jacq.

Ferreira

Martuscello

Braz

et al. 2019

Chil. j. agric. res.

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In experiments with selection of perennial plants, the initial performance is expected to be maintained throughout the productive life. The probability of repeating the agronomic response can be evaluated by the repeatability coefficient. The objective was to estimate repeatability coefficients of agronomic characteristics in Panicum maximum Jacq. using different methods and identify the best combinations between harvests according to the genotypic stabilization. Seventeen genotypes were evaluated in a randomized complete block design with three replicates. The coefficients of repeatability were estimated by the methods: ANOVA, structural analysis based on the mean of the correlation coefficients (SACOR), analysis of principal components based on the covariance matrix (PCCOV) and correlation matrix (PCCOR). In the genotypic stabilization, coefficients estimated by ANOVA and PCCOR were used. For total DM, repeatability coefficients ranged from 0.3500 to 0.4300 by the ANOVA and PCCOR methods, respectively. High repeatability coefficients were found for the characteristic leaf DM, while low coefficients were observed for leaf and stem percentages and leaf:stem ratio. For the genotypic stabilization of total DM and leaf:stem ratio, the best coefficients were observed for the combination of harvests 5 to 8. There are variations in the estimate of repeatability by different methods and the highest coefficients were those of the principal components based on the correlation and covariance matrices. For the genotypic stabilization, the best coefficients of repeatability and determination were observed for the harvests performed in the second rainy period.

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Genotypic stabilization of agronomic traits in Panicum maximum (Jacq.) hybrids

Cited by 4 publications

References 6 publications

<b>Repeatability, number of harvests, and phenotypic stability of dry matter yield and quality traits of Panicum maximum jacq.

<b>Repeatability, number of harvests, and phenotypic stability of dry matter yield and quality traits of Panicum maximum jacq.

Repeatability of fruit traits from two Hancornia speciosa populations from the core region of the Brazilian Cerrado

Repeatability and genotypic stability of agronomic characteristics in Panicum maximum Jacq.

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