Phenotypic Diversity of Selected Dual Purpose Forage and Grain Sorghum Genotypes

Chikuta, S.; Odong, Thomas; Kabi, Fred; Rubaihayo, P. R.

doi:10.9734/ajea/2015/20577

Cited by 9 publications

(15 citation statements)

References 16 publications

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“…The phenotypic expression could be influenced by rainfall and temperature difference between the seasons as recorded with 522 mm during 2016 and 989 mm in 2017. Similar findings from Chikuta et al (2015) and Ayana et al (2000) indicate that gradient of rainfall, temperature and growing sites are important for genotype variation. The phenotypic expression can infer genetic variability and consequences of phenotypic variation due to changes in the environment (Abubakar and Bubuche, 2013).…”

Section: Variability and Heritability Of The Characterssupporting

confidence: 66%

“…These methods use the morphological characters to provide information about the similar groups and the information generated can be used to identify genotypes that have desirable characters for breeding purposes such as hybridization for pedigree breeding. Chikuta et al (2015) used multivariate analysis approaches to select sorghum genotypes exhibiting high levels of grain and fodder traits from morphological and agronomic data, while Mujaju and Chakauya (2008) used multivariate analysis to categorise agro-morphological characters of sorghum landraces to explain production factors and uses of sorghum at farmers' level.…”

Section: Introductionmentioning

confidence: 99%

“…Several studies have evaluated genetic diversity through phenotypic data (Ganesamurthy, 2013;Chikuta et al, 2015;Fernandez et al, 2014) and molecular marker data (Muraya, 2014;Uttam et al, 2017). However, there is a need to validate information on the genetic diversity of Mozambican sorghum germplasm using similar approaches.…”

Section: Introductionmentioning

confidence: 99%

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Identification of important morphological traits in Mozambican sorghum [Sorghum bicolor (L.) Moench] germplasm using multivariate analysis

Mulima¹,

Sibiya²,

Musvosvi³

et al. 2018

Afr. J. Agric. Res.

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Classification of sorghum [Sorghum bicolor (L) Moench] breeding material based on multiple crucial characters is important towards the possible formation of homogeneous groups of genotypes and groups that can be exploited in the identification of parents for use in a breeding program. The objective was to determine the morphological characters that distinguish desirable breeding material and group the genotypes of sorghum according to similarity. Principal component analysis (PCA) and cluster analysis were used to establish the relationships among germplasm and the Shannon Diversity index was used to quantify the level of diversity. The experiment involving 26 sorghum genotypes was conducted at Sussundenga Research Station across two seasons and laid out in a 13 × 2 alpha lattice design with four replications. Cluster analysis grouped genotypes into four clusters based on 15 evaluated traits. Five principal components cumulatively accounting for 58.5% of the total variation were estimated from the PCA analysis. The results showed that genotypes 150B, IS 14257R, LARSVYT 46B, TX 631B, TX 630B and 8601B were the early maturity while for late maturity genotypes were MA 6B, A 6352R, ICSA 19B and MZ 30R. The genotypes IS 7179R, SPL 9B, A 6353R, SPL 38B, SDS 6013R and MZ 2R showed a potential for grain yield improvement. Other genotypes presented potential for drought tolerance and birds attack. The multivariate analyses clearly showed the grouping of the genotypes according to the characters outlined in the study. These results have implications in selecting parents for use in sorghum breeding program.

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Section: Variability and Heritability Of The Characterssupporting

confidence: 66%

Section: Introductionmentioning

confidence: 99%

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Identification of important morphological traits in Mozambican sorghum [Sorghum bicolor (L.) Moench] germplasm using multivariate analysis

Mulima¹,

Sibiya²,

Musvosvi³

et al. 2018

Afr. J. Agric. Res.

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show abstract

“…Ayana and Bekele (1999) reported significance of first five PCs in the total variability of different agro-morphological traits in sorghum. The first four principal components, with eigenvalues greater than one, were also documented in 25 forage and 45 grain sorghum genotypes for dual purpose (Chikuta et al 2015). Abraha et al (2015) reported four principal components with eigenvalues greater than one, which explained > 75% of the total variation for grain yield, biomass, stay-green, leaf area, peduncle exertion, days to flowering, and maturity.…”

Section: Resultsmentioning

confidence: 85%

“…‡ ‡ = Awned glume (1 = awned glume panicles and 2 = non-awned glume panicles). attributed to first, second, and third principal components, respectively, was reported by Chikuta et al (2015). Several studies on principal component analysis of different agro-morphological traits in sorghum have been documented.…”

Section: Resultsmentioning

confidence: 88%

Principal component analysis of early generation sorghum lines for yield-contributing traits and resistance to midge

Hamidou

Souleymane

Ba³

et al. 2018

Journal of Crop Improvement

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Sorghum (Sorghum bicolor L. Moench) is a staple food crop in Niger. Its production is constrained by sorghum midge (Stenodiplosis sorghicola Coquillett 1898) and by the use of low-yielding, local sorghum varieties. To improve sorghum productivity, farmers need high-yielding and midge-resistant sorghum cultivars. The objective of this research is to evaluate genetic diversity among sorghum inbred lines for yield, yieldcontributing traits, and resistance to midge. Two-hundred and eighty-two lines (280 recombinant inbred lines plus two checks) were evaluated at two experimental sites in Niger. An alpha (0.1) lattice design with two replications was used to conduct the trial. Principal component analysis was used to determine the relationship between grain yield and resistance to midge. The first three principal components (PC) accounted for 56.22% of the total genotypic variation. Based on the similarity of traits within and between members of clusters, genotypes were divided into 18 clusters. Genetic variability was present for the traits under study in the tested germplasm. Hybridization of midge-resistant genotypes from different clusters should be able to yield new genotypes combining high yield and other desirable yield-contributing traits.

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Agromorphological diversity of South African sorghum genotypes assessed through quantitative and qualitative phenotypic traits

Mofokeng

Shimelis

Laing

2017

South African Journal of Plant and Soil

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Phenotypic Diversity of Selected Dual Purpose Forage and Grain Sorghum Genotypes

Abstract: Aims: To study the phenotypic diversity of 25 forage and 45 grain sorghum genotypes for dual purpose as food and feed and to identify traits that might contribute to genetic improvement. Study Design: A 7 × 10 alpha lattice design was used with two replications at two sites.

Cited by 9 publications

References 16 publications

Identification of important morphological traits in Mozambican sorghum [Sorghum bicolor (L.) Moench] germplasm using multivariate analysis

Identification of important morphological traits in Mozambican sorghum [Sorghum bicolor (L.) Moench] germplasm using multivariate analysis

Principal component analysis of early generation sorghum lines for yield-contributing traits and resistance to midge

Agromorphological diversity of South African sorghum genotypes assessed through quantitative and qualitative phenotypic traits

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