Variability of Ginger (Zingiber officinale Rosc.) Accessions for Morphological and Some Quality Traits in Ethiopia

Aragaw, Momina; Alamerew, Sentayehu; Girma, H.; Michael, Cassia; Tesfaye, Agajie

doi:10.3923/ijar.2011.444.457

Cited by 20 publications

(15 citation statements)

References 9 publications

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“…Similar results have been reported by Aragaw et al (2011). The amount of genotypic and phenotypic variability that exists in a species is essential in developing better varieties and in initiating a breeding program.…”

Section: Resultssupporting

confidence: 76%

“…The intra-cluster distance indicated that the accessions within the clusters were less diverse. The highest inter-cluster distance was observed between cluster II and IV, indicted that the accessions belonging to these clusters were genetically diverse and could offer relatively better parental lines; the progenies of those accessions can be useful in further breeding programs for obtaining a wide spectrum of variation (Aragaw et al 2011). The lowest inter-cluster distance was observed between cluster I and II, indicted the accessions belonging to each pair of the cluster were less diverse.…”

Section: Intra and Inter-cluster Distancementioning

confidence: 99%

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Nature and magnitude of genetic variability and diversity analysis of Indian turmeric accessions using agro-morphological descriptors

2016

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Turmeric, a vegetatively propagated crop, may have restricted variability from which to breed new cultivars. Understanding the genetic variability of a species is crucial for the progress of a genetic breeding program and requires characterization and evaluation of accessions. The objectives of this study were to determine extent of variability, relationships between different agro-morphological traits, and diversity among 25 different accessions of turmeric. The present experiment was conducted at the Vegetable Research Farm, Department of Horticulture, Sam Higginbottom Institute of Agriculture, Technology and Sciences, Allahabad, India during 2008-2009 and 2009-2010. Accessions were arranged in a randomized complete block design with three replications. Significant mean square of accessions for all the traits studied indicates the existence of sufficient genetic variability among the studied accessions. The rhizome yield exhibited highly significant and positive association with plant height, number of leaves plant −1 , number of tillers plant −1 , weight of rhizomes plant −1 , length of primary rhizome, and dry matter recovery. The highest positive direct effect on rhizome yield was exerted by plant height. Multivariate analysis techniques allowed an effective study of genetic divergence and the grouping of the 25 accessions into six clusters. The highest inter-cluster distance was observed between cluster II and IV, accessions from these clusters can be used as potential parents for future breeding programs.Key words: agro-morphological descriptors, character association, direct/indirect effect, genetic diversity, Curcuma longa L.Résumé : Le curcuma est une plante qui se multiplie de façon végétative, aussi sa variabilité pourrait-elle être restreinte, ce qui nuirait à la création de nouveaux cultivars. Il est capital de bien comprendre la variabilité génétique d'une espèce si on veut mieux l'hybrider, ce qui signifie qu'il faut en caractériser et évaluer les obtentions. La présente étude devait établir l'importance de la variabilité, les liens entre divers caractères agro-morphologiques et la diversité de 25 obtentions de curcuma. L'expérience a été réalisée à la ferme expérimentale de cultures maraîchères du département d'horticulture de l'Institut Sam Higginbottom d'agriculture, de technologie et de science à Allahabad (Inde), en 2008-2009 et 2009-2010. Les obtentions ont été réparties en blocs aléatoires complets et les essais ont été répétés trois fois. Une variance significative pour tous les caractères examinés indique que les obtentions varient toutes assez sur le plan génétique. Le rendement en rhizomes présente une association positive significative avec la taille du plant, le nombre de feuilles par plant, le nombre de talles par plant, le poids des rhizomes par plant, la longueur du rhizome principal et la quantité de matière sèche récupérée. C'est la taille du plant qui exerce directement le plus fort effet positif sur le rendement en rhizomes. Les techniques d'analyse à variables multi...

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Section: Resultssupporting

confidence: 76%

Section: Intra and Inter-cluster Distancementioning

confidence: 99%

Nature and magnitude of genetic variability and diversity analysis of Indian turmeric accessions using agro-morphological descriptors

2016

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“…The significant differences among torch ginger accessions for most of the traits indicates existence of sufficient genetic variability amongst germplasm collections. This finding is in line with results of Nandkangre et al [12], Ravishanker et al [13] and Aragaw et al [28] on ginger germplasm in Burkina Faso, India and Ethiopia, respectively.…”

Section: Discussionsupporting

confidence: 92%

“…For all traits studied PCV value was greater than GCV indicating that the visible variance was not only due to the genotypes but also due to the environmental effect. This was similar with studies by Ravishanker et al [13], Rajyalakshmi and Umajyothi [17] and Aragaw et al [28] which evaluated the agro-morphological variability on ginger. A small difference between GCV and PCV was detected in plant height, number of stems, number of leaves, leaf length, leaf width, petiole length, bud length, inflorescence length, bud width, inflorescence width, bud peduncle length, inflorescence peduncle length, corolla tube length, and bract length.…”

Section: Discussionsupporting

confidence: 92%

Genetic Variability and Diversity of the Agro-Morphological Traits of Torch Ginger (Etlingera elatior) Germplasm in Malaysia

Ismail

Rafii

Mahmud

et al. 2021

JAERI

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Aims: The main objective of this study is to quantify the genetic variability and relationship among the quantitative traits of the torch ginger germplasm collected across Peninsular Malaysia. Study design: Initially, the experimental design was randomized complete block design (RCBD) but there were unequal number of replications due to limited planting materials. Place and Duration of Study: The study was conducted at the Malaysian Agricultural Research and Development Institute (MARDI) Research Station, Jerangau, Terengganu, Malaysia on latitude 04°57.704’N and longitude 103°11.007’E. Data on agro-morphological characterization were collected for three years from June 2010 until May 2013. Methodology: A total of 57 torch ginger accessions were collected from various wild/ cultivated sources from seven states of Peninsular Malaysia namely Terengganu (19), Perak (15), Kedah (7), Johor (6), Pahang (5), Kelantan (3) and Melaka (2). The collection was planted in 2009 and maintained as living collection. At three months old torch ginger plantlets were transplanted into 20 cm × 20 cm × 20 cm holes spaced at 100 cm diameter of culvert. The spacing of culvert between rows and within rows were 2 m respectively. Initially, the experimental design was randomized complete block design (RCBD) but there were unequal number of replications due to limited planting materials. Data on agro-morphological characterization were collected for three years from June 2010 until May 2013. All the 57 accessions were characterized according to descriptors list of genera under Zingiberaceae family with some modifications. A total of 6 qualitative and 16 quantitative descriptors were used. The mean values of each quantitative trait data were computed and subjected to statistical analysis to assess the amount of genetic variation using analysis of variance (ANOVA). The ANOVA was using PROC GLM of SAS 9.4 software (SAS Institute Inc., Cary, NC, USA). Genotypic coefficients of variation and error variance were estimated using PROC VARCOMP method Type I of SAS 9.4 software. Phenotypic coefficients of variation, heritability and genetic advance were calculated. Pearson correlation coefficient was determined using SAS 9.4 for comparing the relationship among the different traits. The morphological traits were analyzed by numerical taxonomic methods via cluster analysis and Principal Component Analysis (PCA) which was done using NTSYS-PC Version 2.1. PCA based on 16 quantitative and six qualitative traits was performed to determine the genetic variation in the torch ginger accessions. The cluster and PCA were performed to reveal clustering and grouping pattern of torch ginger accessions. Euclidean distance coefficients were estimated for all pairs of accessions, which was then used to present cluster analysis. Results: Analysis of variance indicated that highly significant variation exists among the 57 accessions for most of the traits. The 57 accessions of torch ginger showed high variability for both qualitative and quantitative traits. Among the quantitative traits, the highest CV was observed from number of spikes with the value of 44.25%. The genetic coefficient of variation for 16 morphological traits ranged from 9.76 to 45.86%. Broad sense heritability estimates varied from low to high. Maximum estimates of broad sense heritability were recorded in bract length (80.16%), bud peduncle length (78.74%), number of leaves (75.66%), number of stems per clump (67.99%), inflorescence peduncle length (67.60%) and bud width (65.11%). The genetic advance (GA) in percent of mean was recorded from 11.82 to 67.97%. Besides that, positive correlation coefficient was obtained between some traits. Generally, the genotypes groups were related with morphological characteristics among the accessions. Conclusion: Considering the distribution pattern, vegetative and yield performance of accessions, it is suggested that accessions from cluster VII (KAN022, KAN047 and KAN048) should be selected for future breeding program. These accessions possessed the highest peduncle length that could influence the yield in terms of bud size. Furthermore, the classification and divergence between torch ginger accessions analyzed in this study may assist in conserving plant materials both in-situ and ex-situ.

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“…Thus, indicating the existence of sufficient genetic variability among the turmeric genotypes studied (Table 4). Similar results were reported by Aragaw et al, (2011). The study of analysis of variance and critical difference revealed highly significant values among for all the nineteen traits studied suggesting that considerable genetic diversity existed among the population.…”

Section: Cont…supporting

confidence: 86%

Performance and evaluation of turmeric (Curcuma longa L.) genotypes based on quantitative traits for tropical regions of Tamil Nadu

2020

EJPB

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Genetic resource of any crop makes it possible for plant breeders to create narrative plant gene combinations and decide on crop varieties. In the present study, 200 turmeric genotypes with two checks were evaluated in Augmented Randomized Complete Block Design for nineteen quantitative traits. The objective of this study was to determine the extent of variability and diversity between quantitative traits, among 200 different turmeric (Curcuma longa L.) genotypes. Mean values of nineteen quantitative traits for the test entries showed superiority as compared to check varieties viz., BSR 2 and CO 2 excluding the length of secondary rhizome. The results of analysis of variance exhibited significance for all the quantitative traits, suggesting the existence of sufficient genetic variability among the genotypes studied. Significant values for coefficient of variation was observed for the weight of primary rhizomes plant-1 (55.17%) followed by weight of mother rhizomes plant-1 , weight of secondary rhizomes plant-1 and rhizome yield plant-1 with CV of 53.72, 52.59 and 48.26 % respectively. The genotype CL 18 recorded the maximum significant value for plant height (160.99 cm), leaf width (22.35 cm), weight of mother rhizomes plant-1 (289.94 g), weight of primary rhizomes plant-1 (452.22 g), the number of secondary rhizomes plant-1 (34.30) and rhizome yield plant-1 (970.09 g) as compared to other genotypes. The magnititude of estimates of phenotypic coefficient of variation was higher than the corresponding genotypic coefficient of variation for all the nineteen quantitative characters. Genotypic coefficient of variation ranged from 3.15 % to 12.33 % and phenotypic coefficient of variation ranged from 4.29 % to 19.36 %. Heritability and genetic advance as per cent of mean (GAM) were higher in all the nineteen quantitative traits studied in turmeric genotypes.

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Variability of Ginger (Zingiber officinale Rosc.) Accessions for Morphological and Some Quality Traits in Ethiopia

Cited by 20 publications

References 9 publications

Nature and magnitude of genetic variability and diversity analysis of Indian turmeric accessions using agro-morphological descriptors

Nature and magnitude of genetic variability and diversity analysis of Indian turmeric accessions using agro-morphological descriptors

Genetic Variability and Diversity of the Agro-Morphological Traits of Torch Ginger (Etlingera elatior) Germplasm in Malaysia

Performance and evaluation of turmeric (Curcuma longa L.) genotypes based on quantitative traits for tropical regions of Tamil Nadu

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