Path analysis of agro-industrial traits in sweet sorghum

Lombardi, G. M. R.; Nunes, José Aírton Rodrigues; Parrella, Rafael A.C.; Teixeira, Davi Henrique Lima; Bruzi, Adriano Teodoro; Durães, Nayara Norrene Lacerda; Fagundes, Talieisse Gomes

doi:10.4238/2015.december.9.8

Cited by 27 publications

(26 citation statements)

References 12 publications

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“…Mensuraram-se os seguintes caracteres agronômicos: produtividade de massa de matéria verde por hectare (PMV), obtida a partir do corte e pesagem das plantas, sem as panículas, da área útil da parcela a 5,0 cm da superfície do solo estimada para hectare; teor de sólidos solúveis totais (BRIX), determinado por meio de refratômetro de laboratório, com correção de temperatura automática, em graus Brix (Consecana, 2006); extração de caldo (EXT), determinado pela relação entre a massa de caldo extraído com uso do moedor de cana modelo B721 Rolos Inox, com motor à gasolina, e a massa de colmos; teor de sacarose aparente no caldo, obtido com uso do polarímetro digital de peso normal (POL) (Consecana, 2006); e toneladas de sólidos solúveis totais, em graus Brix, por hectare (TBH), que foi obtido pelo produto entre PMV, BRIX e EXT (Pedrozo et al, 2008;Lombardi et al, 2015).…”

Section: Methodsunclassified

Seleção simultânea em progênies de sorgo-sacarino por meio de índices de seleção

França

Parrella

Souza

et al. 2016

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi comparar ganhos genéticos obtidos por diferentes índices de seleção aplicados a múltiplos caracteres agronômicos de sorgo-sacarino (Sorghum bicolor). Foram feitas avaliações de 189 progênies F5 e sete testemunhas, em delineamento de blocos incompletos, com três repetições. Mensuraram-se os caracteres produtividade de matéria verde, teor de sólidos solúveis totais, extração de caldo, teor de sacarose no caldo e sólidos solúveis totais por hectare. Analisaram-se os índices de soma de postos de Mulamba e Mock (ou índice de ranks), da soma dos valores padronizados (ou índice Z), índice padronizado pela média e índice padronizado pela média modificado. As correlações e as percentagens de coincidência na seleção das progênies foram elevadas entre o índice Z, o índice padronizado pela média e o índice padronizado pela média modificado. Entre os índices de seleção testados, o de soma de postos de Mulamba e Mock foi o menos eficiente. A seleção simultânea de progênies de sorgo-sacarino permite ganhos genéticos expressivos para todos os caracteres mensurados.Termos para indexação: Sorghum bicolor, ganho genético, melhoramento genético de plantas. Simultaneous selection in sweet sorghum progenies by selection indicesAbstract -The objective of this work was to compare the genetic gains obtained by different selection indices applied to various agronomic traits of sweet sorghum (Sorghum bicolor). Evaluations were carried out for 189 F5 progenies and seven controls, in an incomplete block design, with three replicates. The measured traits were green matter yield, content of total soluble solids, juice extraction, sucrose content in juice, and total soluble solids per hectare. The rank summation index of Mulamba and Mock (or index of ranks), standardized value summation index (or Z index), standardized by the mean index, and the modified standardized by the mean index were analyzed. The correlations and coincidence percentages in the progeny selections were high between the Z index, the standardized by the mean index, and the modified standardized by the mean index. Among the tested selection indices, the rank summation index of Mulamba and Mock was the less efficient. The simultaneous selection of sweet sorghum progenies allows expressive genetic gains for all measured traits.

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Section: Methodsunclassified

Seleção simultânea em progênies de sorgo-sacarino por meio de índices de seleção

França

Parrella

Souza

et al. 2016

Pesq. agropec. bras.

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“…The genotype-by-trait biplot pointed out a high positive association between TBH and EY, indicating the possibility of adopting these traits as criteria for indirect selection to obtain more productive genotypes, in terms of alcohol productivity. The path analysis conducted by Lombardi et al (2015) corroborated this, revealing that TBH showed significant direct effect on the ethanol yield.…”

Section: Discussionmentioning

confidence: 61%

Association among agro-industrial traits and simultaneous selection in sweet sorghum

Leite¹,

Fagundes²,

Nunes³

et al. 2017

Genet. Mol. Res.

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ABSTRACT. Sweet sorghum has emerged as an alternative crop for ethanol yield. The breeding of this crop is performed to obtain cultivars with high ethanol yield, which necessarily requires associating favorable phenotypes for multiple traits. Therefore, the aims of this study were to investigate the association between agro-industrial traits related to ethanol yield and identify the promising genotypes considering multiple traits in sweet sorghum. For this purpose, we evaluated 45 genotypes using a 9 x 5 alpha-lattice experimental design with three replications. The traits measured were flowering time, plant height, tons of stalk per hectare, total soluble solids, tons of brix per hectare, juice extraction, total recoverable sugars, and ethanol yield. Analyses were performed after the recovery of inter-block information. The interrelation of the traits was described by genotype-by-trait biplot. For simultaneous selection, the Modified Mulamba and Mock index was used. For almost all of the agro-industrial traits, except for juice extraction, selective accuracy was above 70%. There were significant differences among genotypes for all the traits. The genotype-by-trait biplot evidenced a positive association between most of the traits related to ethanol yield, except for juice extraction, indicating the possibility of indirect selection to obtain more productive genotypes. Some genotypes proved to be promising based on the selection index, as they accumulated phenotypes favorable for the traits of interest.

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“…However, only for Brix and juice pol did these significant genotypic correlations result in direct effects (greater than the residual effect) on the TRS. Working with technological variables in sweet sorghum, Lombardi et al (2015) reported strongly positive direct effects of total Brix per hectare on ethanol production per hectare, and concluded that Brix was the variable that most contributed to ethanol production.…”

Section: Resultsmentioning

confidence: 99%

“…The technique, introduced by Wright (1921Wright ( , 1923 and described in detail by Li (1956Li ( , 1975, identifies miscorrelations between two traits that may not necessarily be related by direct cause-andeffect, because of the influence of a third trait. Path analysis has been widely used by plant breeders in a variety of crops, e.g., soybean (Peter et al, 2014), corn (Faria et al, 2015), common bean (Cabral et al, 2011), green bean (Araujo et al, 2012), cowpea (Moura et al, 2012;Santos et al, 2014), rice (Marchezan et al, 2005), wheat (Kavalco et al, 2014), cotton (Hoogerheide et al, 2007;Farias et al, 2016), sweet sorghum (Lombardi et al, 2015), and sugarcane (Saccharum officinarum) (Kang et al, 1983;Reddy and Reddy, 1986;Sukhchain and Sain, 1997;Ferreira et al, 2007;Silva et al, 2009;Souza et al, 2011;Esposito et al, 2012). However, studies of this nature are still necessary, because different population structures, environments, and management strategies should be considered.…”

Section: Introductionmentioning

confidence: 99%

Early selection of sugarcane using path analysis

et al. 2017

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ABSTRACT. The aim of this study was to analyze sugarcane (Saccharum officinarum) biometric and technological data, obtained at different timepoints, using path analysis. The experiment was conducted in União, PI, Brazil, and evaluated 12 sugarcane genotypes (RB036066, RB9438, RB935744, RB021764, RB021754, RB021534, RB966229, RB977540, RB863129, and RB987935, and the varieties RB92579 and RB867515 as controls) in a randomized block design with four replications. Data were collected at six timepoints that were spaced 30 days apart (90, 120, 150, 180, 210, and 240 days). Direct and indirect effects of the following production components were compared: stalk length, stalk diameter, internode length, number of tillers, number of green leaves, and stalk dry matter. The technological variables evaluated were total recoverable sugar, degrees Brix, tons of polarization (pol, apparent sucrose content) per hectare, juice purity, fiber, juice pol, and tons of sugarcane per hectare. The coefficients of determination were 2 R.P. Barbosa et al. Genetics and Molecular Research 16 (1): gmr16019038 high in all path analyses, suggesting that the components evaluated explained a large part of the variation in stalk production and in the technological variables. Stalk diameter was the trait that best correlated with stalk dry matter yield at all timepoints, with positive values that were higher than the residual effect. This demonstrates the possibility of obtaining significant gains via indirect selection for stalk dry matter yield via stalk diameter or via stalk diameter and number of tillers. The technological variables degrees brix and juice pol were the traits that best correlated with total recoverable sugar production, indicating that they could be used to indirectly select for total recoverable sugar.

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Path analysis of agro-industrial traits in sweet sorghum

Cited by 27 publications

References 12 publications

Seleção simultânea em progênies de sorgo-sacarino por meio de índices de seleção

Seleção simultânea em progênies de sorgo-sacarino por meio de índices de seleção

Association among agro-industrial traits and simultaneous selection in sweet sorghum

Early selection of sugarcane using path analysis

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