Correlation and path analysis of yield and its components and plant traits in wheat

Okuyama, L. A.; Federizzi, Luiz Carlos; Neto, José Fernandes Barbosa

doi:10.1590/s0103-84782004000600006

Cited by 71 publications

(40 citation statements)

References 9 publications

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“…The results of correlation and path analysis are matching for 1000 grain weight, however, the reverse was the case for the other two components where number of grain/spike was the second correlated components (0.69) and the third in direct effect (0.16), this may be due to the indirect effect of number of spikes/m 2 and 1000 grain weight via number of grain/spike, 0.19 and 0.35, respectively which was more than the indirect effect of number of grain/spike and 1000 grain weight via number of spikes/m 2 , 0.09 and 0.14, respectively, where the more the indirect effect the less direct effect. The results of correlation and direct effect of number of spikes/m 2 and 1000 grain weight are agreed with those obtained from [19]. …”

Section: Path Analysis and Correlation Between Grain Yield And Yield supporting

confidence: 87%

Influence of Nitrogen Fertilizer and Foliar Application of Salicylic Acid on Wheat

Ibrahim¹,

Bakry²,

Thalooth³

et al. 2014

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Two cemented plots experiments were carried out during the winter seasons of 2012/2013 and 2013/2014, Soil Salinity Laboratory, Alexandria, Egypt, to study the effect of three levels of salicylic acid (SA) (0, 50, 100 ppm) and three rates of nitrogen fertilizer (75, 100, 125 kg N/feddan) on yield and yield components of wheat (Sakha 93). The experimental design was split plot with four replicates. The results indicated that increasing nitrogen fertilizer rates resulted in significant increase in plant height (cm), number of grain/spike, number of spikes/m 2 , 1000 grain weight (gm), grain yield (gm/plot), straw yield (gm/plot), and biological yield (gm/plot). Increasing salicylic acid rates resulted in significant increase in all the previous characters, in addition to grain weight/spike (gm). The interactions had no significant effect on the studied characters. The path analysis revealed that 1000 grain weight was the most important character with direct effect of 0.54 followed by number of spikes/m 2 with direct effect of 0.33 followed by number of grain/spike with direct effect of 0.16.

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Section: Path Analysis and Correlation Between Grain Yield And Yield supporting

confidence: 87%

Influence of Nitrogen Fertilizer and Foliar Application of Salicylic Acid on Wheat

Ibrahim¹,

Bakry²,

Thalooth³

et al. 2014

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“…A esse respeito, Okuyama et al (2004) afirmaram que o estudo mais detalhado das relações, obtidas pela análise de trilha, mostrou que a relação entre rendimento de grãos e seus componentes é bastante diferente das apresentadas pela análise de correlação simples. A aparente divergência ocorre em razão da abordagem analítica.…”

Section: Resultsunclassified

Análise de trilha para componentes do rendimento e caracteres agronômicos de trigo sob desfolha

Gondim

Rocha

Sediyama

et al. 2008

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar a influência dos componentes do rendimento e caracteres da planta, na produção de grãos, em trigo sob desfolha, por meio da decomposição das correlações por meio de análise de trilha. O experimento foi conduzido em Viçosa, MG, em 2004. Os tratamentos constituíram-se de três níveis de desfolha e uma testemunha, com três variedades de trigo -Anahuac, BRS 207 e BR 24 -, com quatro repetições. A desfolha foi realizada com a retirada do limbo da folha bandeira, das segunda e terceira folhas superiores. Avaliaram-se: rendimento de grãos, peso do hectolitro, massa de mil grãos, número de espigas por parcela, número de grãos por espiga, biomassa seca do colmo, biomassa seca da palha da espiga, biomassa seca total, rendimento de grãos por espiga, biomassa seca do colmo individual, biomassa seca da palha da espiga individual e biomassa seca total por planta individual. A redução da biomassa seca do colmo levou a menores perdas de rendimento de grãos, pela remobilização de fotoassimilados com a desfolha. A massa de mil grãos e o número de grãos por espiga foram os principais componentes de rendimento. A seleção direta para esses caracteres é estratégia eficiente para aumentar o rendimento de grãos em trigo sob desfolha.Termos para indexação: Triticum aestivum, correlação genética, estresse. Path analysis for yield components and agronomic traits of wheat under defoliationAbstract -The objective of this work was to evaluate the influence of yield components and plant characters in grain production, in wheat under defoliation, through correlations decomposition using path analysis. The experiment was accomplished in Viçosa, MG, Brazil, in 2004. The treatments consisted of three levels of defoliation and a control, with three wheat varieties -Anahuac, BRS 207 and BR 24 -, with four replicates. Defoliation was carried out by removing the blade of flag leaves from the second and third top leaves. The following parameters were evaluated: grain yield, hectolitric weight, one thousand-grain weight, number of spikes per plot, number of grain per spike, culm dry biomass, spike-straw dry biomass, total dry biomass, grain yield per spike, total dry biomass of individual culm, straw dry biomass of individual spike and total dry biomass per individual plant. The reduction in culm dry biomass led to lower losses of grain yield because of the higher remobilization of photoassimilates with defoliation. Thousand-grain weight and number of grain per spike were the main yield components. The direct selection for these characters is an efficient strategy to increase grain yield in wheat under defoliation.

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“…In a previous paper (OKUYAMA et al, 2004) was reported that the number of spikes m -2 and the number of grains per spike, followed by the above-ground biomass.m -2 should be taken into account to enhance wheat grain yield. This paper provides evidence that some plant traits may be used to complement selection based on yield components in wheat.…”

Section: Resultsmentioning

confidence: 99%

“…OKUYAMA et al (2004). In each subplot, a sample of one row with 1m in length was used to randomly selected 10 main tillers for the following determinations: flag leaf length (distance from base to tip of the flag leaf blade), p e d u n c l e e x t r u s i o n l e n g t h ( d i s t a n c e f r o m insertion of flag leaf blade to basal node of spike), peduncle length (distance from upper node to the basal node of spike), spike length (distance from the base to the end of spike), sheath length (difference of peduncle length and peduncle extrusion length) and plant height (distance from the ground to the tip of the spike).…”

Section: Methodsmentioning

confidence: 99%

Plant traits to complement selection based on yield components in wheat

2005

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Correlation and path analysis of yield and its components and plant traits in wheat

Abstract: Correlação e análise de trilha de rendimento e seus componentes e caracteres de planta em trigo 1

Cited by 71 publications

References 9 publications

Influence of Nitrogen Fertilizer and Foliar Application of Salicylic Acid on Wheat

Influence of Nitrogen Fertilizer and Foliar Application of Salicylic Acid on Wheat

Análise de trilha para componentes do rendimento e caracteres agronômicos de trigo sob desfolha

Plant traits to complement selection based on yield components in wheat

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