Genetic variability of Sweet Potato on yield and yield related traits at werer Agricultural Research Center, Ethiopia

Demelie, Muluken; Aragaw, Abiyot

doi:10.5958/0975-928x.2016.00044.2

Cited by 8 publications

(10 citation statements)

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“…The above findings indicated that the characters with the high and moderate heritability and genetic advance can be considered for direct selection for improvement. These results are in agreement with the results of Engida et al, (2006), Shashikanth et al, (2008) Madawal et al, (2015, Demelie and Aragao (2016) and Badu et al, (2017) in sweet potato.…”

Section: Heritabilitysupporting

confidence: 93%

Genetic Variability Studies in Sweet Potato (Ipomoea batatas (L.) Lam) Genotypes under Hill Zone of Karnataka

Sharavati¹,

Srinivasa²,

Anusha³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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Section: Heritabilitysupporting

confidence: 93%

Genetic Variability Studies in Sweet Potato (Ipomoea batatas (L.) Lam) Genotypes under Hill Zone of Karnataka

Sharavati¹,

Srinivasa²,

Anusha³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…This result means that the increase in the value of the characters will increase the root yield. The previous studies also showed similar results, where the root yield was positively correlated with the total number of roots (Afuape et al 2011;Demelie and Aragaw 2015;Egbe et al 2012;Mekonnen et al 2015), root diameter (Gedamu et al 2010;Jha 2012), harvest index (Jha 2012;Rahajeng and Rahayuningsih 2015;Tirkey 2011;Tsegaye et al 2006). According to Mekonnen et al (2015), the significant and the positive correlation indicates that characters significantly correlated with root yields can be used as an indicator of the adaptability of sweetpotatoes in the study area to increase root yields (as indirect selection tool), so that the sweetpotato breeding program with the purpose of increasing root yields should use these characters as a selection criteria.…”

Section: Correlation and Path Analysissupporting

confidence: 63%

Evaluation of orange-fleshed sweetpotato genotypes for yield and yield contributing parameters in two environments

Rahajeng¹,

Rahayuningsih²

2017

Nusantara Biosci

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Abstract. Rahajeng W, Rahayuningsih SA. 2017. Evaluation for yield and yield contributing parameters of orange-fleshed sweetpotato genotypes in two environments. Nusantara Bioscience 9: 275-281. Orange-fleshed sweetpotatoe (OFSP) is one of the most important sources of betacaroten and carbohydrates. OFSP showed varying responses to different environments, depending on the adaptability of the genotypes. The objective of this study was to evaluate the correlation between yield and yield component of OFSP genotypes at two different agroclimatological environments (Mojokerto and Blitar) from May to September 2013. Twenty four OFSP genotypes (twenty two clones and two varieties as the check) were used in this study and arranged in a randomized complete block design with three replications. Results showed that responses of OFSP genotypes to the environments varied and genotypes had highly significantly affected all parameters. Based on the criteria of high yield, amylum content, and dry matter production four clones were selected (MSU 09008-54, MSU 07009-113, MSU 07025-45, and MSU 09025-71) from Blitar and two clones (MSU 07009-113 and MSU 070-64) from Mojokerto. Clone MSU 07009-113 showed good performance in both environments for yield, amylum content, and dry matter production parameters. The result of the correlation analysis reveals that root yield is highly significant and positively correlated with dry matter production, number of roots, diameter of root, and harvest index in two locations (Blitar and Mojokerto). Based on the correlation and path analysis, dry matter production, root diameter, and harvest index can be used as an effective indicators selection for high yield OFSP genotypes.

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“…The slight difference in value between PCV and GCV shows that the influence of genetic factors is more dominant than the influence of environmental factors. The research of Demelie and Aragaw (2016) and Rahajeng and Indiati (2018) also showed the same results, PCV values were greater than GCV with a slight difference in values. If the value of PCV and GCV has a significant difference, it means that environmental factors have a high influence.…”

Section: Estimation Of Genetic Variance Componentsupporting

confidence: 61%

“…Data were analyzed by analysis of variance (ANOVA) using PKBT-STAT 1.0 program. Genetic parameter analysis (genotypic and phenotypic coefficients of variation, heritability, and genetic advances) was performed according to Syukur et al (2009) and Demelie and Aragaw (2016). The deviation of genetic variance was used to determine the criteria of genetic variability.…”

Section: Methodsmentioning

confidence: 99%

Genetic Parameters of Agronomic Traits in Sweetpotato Accessions

et al. 2020

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Germplasm as a source of genes in sweetpotato breeding requires information on appearance and genetic parameters. The objectives of this research were to determine the performance and genetic parameters of sweet potato accessions. The research was conducted at Kendalpayak Research Station, Malang, East Java, Indonesia. The materials used were thirty sweet potato accessions from Indonesian Legumes and Tuber Crops Research Institute (ILETRI) germplasm collection. The research was arranged in a Randomized Block Design (RBD) with two replications. The variables observed included: the vines length, the weight of vines, the number and weight of the saleable root per plot, the number and weight of the non-saleable root per plot, the number and weight of root per plant, the root yield, the harvest index, and the dry matter content. The results of ANOVA showed a significant difference among the tested genotypes in almost all traits observed except on weight of non-saleable root. PCV estimation was higher than GCV estimation for all the observed characters. The weight of the saleable root per plot, the weight of root per plant, and the root yield that showed a wide range of PCV and GCV as well as high broad-sense heritability indicated that these traits had additive gene effect and more reliable for effective selection. The broad GCV in a population is effective for selection to obtain the superior variety.

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Genetic variability of Sweet Potato on yield and yield related traits at werer Agricultural Research Center, Ethiopia

Cited by 8 publications

References 0 publications

Genetic Variability Studies in Sweet Potato (Ipomoea batatas (L.) Lam) Genotypes under Hill Zone of Karnataka

Genetic Variability Studies in Sweet Potato (Ipomoea batatas (L.) Lam) Genotypes under Hill Zone of Karnataka

Evaluation of orange-fleshed sweetpotato genotypes for yield and yield contributing parameters in two environments

Genetic Parameters of Agronomic Traits in Sweetpotato Accessions

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