Correlations and path analysis on oil content of castor genotypes

Torres, Francisco Eduardo; Teodoro, Paulo Eduardo; Ribeiro, Larissa Pereira; Corrêa, Caio Cézar Guedes; Hernandes, Fernanda Baptistella; Fernandes, Reliane Lima; Gomes, Anna Catharina; Lopes, Kamila Vieira

doi:10.14393/bj-v31n5a2015-26391

Cited by 12 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Studying the correlations between production and the main morphoproductive characters, as well as between characters, reveals that the most relevant (positive and very significant) are: between yield and weight seeds per primary raceme (r=0,992 *** ), weight and number of seeds per primary raceme (r=0,832 *** ), weight capsules and number of seeds per primary raceme (r=0,736 *** ), (Table 4). Similar values of the correlation coefficients were found by [1], [7], [10], [13], and [14] The results state the fact that these characters are main elements of the castor bean productivity, and the relationship between them may be considered as criteria of selection for raising the productivity in the improvement program for this variety.…”

Section: Findings and Discussionsupporting

confidence: 83%

New Genotypes of Castor Bean (Ricinus Communis L.) Productivity and Adaptability under Environmental Conditions in Southern Romania

Sturzu¹,

Meluca²,

Cernat

2020

International Conference Globalization, Innovation and Development. Trends and Prospects (G.I.D.T.P.)

View full text Add to dashboard Cite

This paper's aim is to identify new castor bean genotypes created at Agricultural Research and Development Station Teleorman in Southern Romania, with an improved productivity and adaptability to the area's environmental conditions. The study has dealt with 15 castor bean genotypes during three years' time (2013)(2014)(2015). The experiment was made according to the fully randomized block method, in three replications. The results of the variance analysis have shown that there was a significant difference between the castor bean genotypes regarding the grain yield. The three years' average yield has shown that both lines T 647/02 (2711 kg/ha) and T 2410 (2529 kg/ha) and the varieties Rivlas (2701 kg/ha) and Dragon (2451 kg/ha) have registered the highest productions, with significant production supplies (623-883 kg/ha) compare to the control variety Cristian (1828 kg/ha). The crops stability was estimated by the means of the variability coefficient. The correlations analysis showed that there are strong relationships between productions and productivity elements: the seeds' weight per primary raceme (r=0,992), the capsules' weight per primary raceme (r=0,925) and the number of seeds per primary raceme (r=0,841), as well as between the productivity elements: the capsules' weight and the seeds' weight per primary raceme (r=0,929), the weight and the number of seeds per primary raceme (r=0,832), the capsules' weight and the number of seeds per primary raceme (r=0,736). Also, there are significant positive correlations between the plant's height with the insertion height of the primary raceme (r=0,625) and the primary raceme length (r=0,625). There is a significant negative correlation between number of seeds per primary raceme and weight of a thousand seeds (r=0,586). The results achieved in the study suggest that the castor genotypes are productive and adapted to the weather conditions in South Romania, recommended to be grown in this agricultural area.

show abstract

Section: Findings and Discussionsupporting

confidence: 83%

New Genotypes of Castor Bean (Ricinus Communis L.) Productivity and Adaptability under Environmental Conditions in Southern Romania

Sturzu¹,

Meluca²,

Cernat

2020

International Conference Globalization, Innovation and Development. Trends and Prospects (G.I.D.T.P.)

View full text Add to dashboard Cite

show abstract

“…The observation of TOL, FIV, and CN values at satisfactory levels (Table 4) demonstrated a low dependence among the chosen predictor traits, so the path coefficients could be estimated without the harmful effects of multicollinearity. The fit statistics of the models (R 2 and ε) had values above other studies involving path analysis in maize and other crops (Bizeti et al, 2004;Adesoji et al, 2015;Torres et al, 2015). In another way, the observation of studies that have hidden fully or partially the fit statistics from its results is worrying .…”

Section: Discussionmentioning

confidence: 80%

REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits

et al. 2017

View full text Add to dashboard Cite

ABSTRACT. Methodologies using restricted maximum likelihood/ best linear unbiased prediction (REML/BLUP) in combination with sequential path analysis in maize are still limited in the literature. Therefore, the aims of this study were: i) to use REML/BLUPbased procedures in order to estimate variance components, genetic parameters, and genotypic values of simple maize hybrids, and ii) to fit stepwise regressions considering genotypic values to form a path diagram with multi-order predictors and minimum multicollinearity that explains the relationships of cause and effect among grain yieldrelated traits. Fifteen commercial simple maize hybrids were evaluated in multi-environment trials in a randomized complete block design with four replications. The environmental variance (78.80%) and genotypevs-environment variance (20.83%) accounted for more than 99% of the phenotypic variance of grain yield, which difficult the direct selection of breeders for this trait. The sequential path analysis model allowed the selection of traits with high explanatory power and minimum multicollinearity, resulting in models with elevated fit (R 2 > 0.9 and ε < 0.3). The number of kernels per ear (NKE) and thousand-kernel weight (TKW) are the traits with the largest direct effects on grain yield (r = 0.66 and 0.73, respectively). The high accuracy of selection (0.86 and 0.89) associated with the high heritability of the average (0.732 and 0.794) for NKE and TKW, respectively, indicated good reliability and prospects of success in the indirect selection of hybrids with highyield potential through these traits. The negative direct effect of NKE on TKW (r = -0.856), however, must be considered. The joint use of mixed models and sequential path analysis is effective in the evaluation of maize-breeding trials.

show abstract

“…This confirmed that the descriptors employed to demonstrate crop productivity were adequate. In their study, TORRES et al (2015) evaluated the effects of descriptors on the oil content of seven castor bean genotypes and the resultant value of the coefficient of determination was 89.98%.…”

Section: Resultsmentioning

confidence: 99%

Correlations and track analysis for morphoagronomic descriptors in pedigree and parental lines of castor bean

Silva

Almeida

et al. 2017

Cienc. Rural

View full text Add to dashboard Cite

As castor bean (Ricinus communis L.) reveals immense adaptability to various ecological conditions and due to its socioeconomic significance, new studies have emerged primarily to develop more productive cultivars to suit different regions in Brazil. This study aimed to confirmthe correlations and direct and indirect effects of the morphoagronomic descriptors on castor bean productivity, employing correlation studies and track analysis. Between 2014 and 2015, experiments utilizing the randomized block design were performed, with four replications, which included 208 treatments involving pedigree and parental lines of castor bean, drawn from the germplasm bank of the Universidade Federal do Recôncavo da Bahia. Variables in the correlation analysis included primary racemic insertion, stem diameter, number of stem internodes, plant flowering, plant height, racemic length, number of fruits per raceme, fruit weight per raceme, seed yield per fruit and productivity. Correlations among the variables analyzed were imposed, via track analysis, on the direct and indirect influences of the morphoagronomic descriptors on productivity. The most direct and positively influential descriptors included fruit weight per raceme and number of seeds per raceme; the most direct albeit negatively influential descriptors are the number of internodes on the stem and flowering. Therefore, lines with less number of internodes and requiring fewer days to bloom are more highly productive. These descriptors can thus effectively identify the productive lines.

show abstract

Correlations and path analysis on oil content of castor genotypes

Cited by 12 publications

References 12 publications

New Genotypes of Castor Bean (Ricinus Communis L.) Productivity and Adaptability under Environmental Conditions in Southern Romania

New Genotypes of Castor Bean (Ricinus Communis L.) Productivity and Adaptability under Environmental Conditions in Southern Romania

REML/BLUP and sequential path analysis in estimating genotypic values and interrelationships among simple maize grain yield-related traits

Correlations and track analysis for morphoagronomic descriptors in pedigree and parental lines of castor bean

Contact Info

Product

Resources

About