2013
DOI: 10.4236/ajps.2013.41007
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Correlation, Regression and Path Analyses of Seed Yield Components in <i>Crambe abyssinica</i>, a Promising Industrial Oil Crop

Abstract: In the present study correlation, regression and path analyses were carried out to decide correlations among the agronomic traits and their contributions to seed yield per plant in Crambe abyssinica. Partial correlation analysis indicated that plant height (X 1 ) was significantly correlated with branching height and the number of first branches (P < 0.01); Branching height (X 2 ) was significantly correlated with pod number of primary inflorescence (P < 0.01) and number of secondary branches (P < 0.05) and ne… Show more

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Cited by 10 publications
(10 citation statements)
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“…According to the path analysis (Table 3), the trait SW presented a strong positive correlation (0.9485) with and a great direct effect (0.5936) on YD, indicating that selection of this trait can provide satisfactory gains in grain yield. A strong correlation between YD and SW (0.821) was found by Huang et al (2013). For SD, the correlation coefficient was high (0.9132), and the direct effect was 0.5089, but the indirect effect of SW was the one that contributed the most (0.5297).…”
Section: Sources Of Variationmentioning
confidence: 91%
See 1 more Smart Citation
“…According to the path analysis (Table 3), the trait SW presented a strong positive correlation (0.9485) with and a great direct effect (0.5936) on YD, indicating that selection of this trait can provide satisfactory gains in grain yield. A strong correlation between YD and SW (0.821) was found by Huang et al (2013). For SD, the correlation coefficient was high (0.9132), and the direct effect was 0.5089, but the indirect effect of SW was the one that contributed the most (0.5297).…”
Section: Sources Of Variationmentioning
confidence: 91%
“…However, because the cause and effect relationships between the primary and secondary characteristics of yield determinants are not considered in trait selection, one way to expand the efficiency of trait selection is to use path analysis. Such an analysis is a very important tool that can be used to obtain a detailed understanding of the influences of the characters of interest, including revealing the existence of positive and negative correlations and their low and high magnitudes (Huang et al, 2013;Silva, Moro, Moro, Santos, & Buzinaro, 2016). This analysis is also useful for understanding the changes that the selection pressure on a character can trigger in other inter-correlated characters, which can result in favourable and unfavourable modifications in the population.…”
Section: Introductionmentioning
confidence: 99%
“…Menurut Huang et al (2013), seleksi berdasarkan karakter fenotipe adalah cara paling umum dalam program pemuliaan tanaman. Cruz dan Carnero (2006) dalam Silva et al (2016), menyatakan bahwa seleksi mempermudah pengukuran dan identifikasi karakter yang berkorelasi dengan parameter yang diinginkan dan memiliki nilai heritabilitas tinggi.…”
Section: Pendahuluanunclassified
“…Crambe abyssinica is a Cruciferae member that is a promising industrial oil crop since it shows high seed yield potential and high-erucic acid content in its seed oil [18]- [20]. The erucic acid content in Crambe seed oil was further increased to over 70% by genetic engineering [21].…”
Section: Introductionmentioning
confidence: 99%