Phenotypic and genotypic variability of F2 plants derived from Jatropha curcas × integerrima hybrid

One, Khin Thida; Tanya, Patcharin; Muakrong, Narathid; Laosatit, Kularb; Srinives, Peerasak

doi:10.1016/j.biombioe.2014.04.036

Cited by 13 publications

(13 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The effective number of alleles (ne) quantifies the alleles that had significant frequency in the population. The values of ne found (1.09 to 2.70) were greater than those reported by Wen et al (2010) and Salvador-Figueroa et al (2014); however, they were similar to those reported by One et al (2014). Wen et al (2010) obtained ne values that ranged from 1.45 to 1.67 in their study with 45 accessions evaluated with SSR markers.…”

Section: Discussionsupporting

confidence: 71%

See 1 more Smart Citation

WIDE GENETIC VARIABILITY WITHIN AND AMONG FAMILIES IN A GERMPLASM COLLECTION OF Jatropha curcas L. AS REVEALED BY MICROSATELLITE MARKERS

Fernandes¹,

Dias²,

Caixeta³

et al. 2021

FPBJ

View full text Add to dashboard Cite

J. curcas is a species with wide potential for biofuel production. However, there are few breeding programs and little information on its genetic structure. Studies indicate that the species has narrow genetic variability. We quantify genetic variability, and decomposing it within and among 28 families of a genebank by means of microsatellite markers. Thirty-nine pairs of primers were tested, of which six were polymorphic for a total of 18 alleles, with a mean of three alleles/locus. These six markers allowed genetic variability to be estimated within and among the families through estimates of PIC (0.36), expected (He=0.44) and observed (Ho=0.48) heterozygosity, inbreeding coefficient (f=-0.03), Shannon-Wiener index (H'=0.71), and the formation of 11 clusters. Bayesian analysis classified the families in four groups. The present study was the first to portray the formation of four groups and detect high genetic variability using only accessions from outside the main center of diversity of the species. Analysis of molecular variance showed that most of the variability (92.4%) is contained within families. There was low differentiation among the families (FST=0.07). Collection of genotypes within families should be prioritized because they are where greater variability is concentrated. This strategy was used in setting up the present genebank, which prioritized the collection of more plants per family, efficiently bringing together greater variability. For the first time, the diversity statistics revealed high genetic variability to be exploited in this collection, on the contrary to most studies with J. curcas that have claimed low genetic diversity in the species.

show abstract

Section: Discussionsupporting

confidence: 71%

“…Salvador-Figueroa et al (2014) found ne values from 1.50 to 1.82. One et al (2014) evaluated a F2 population with SSR markers and reported ne from 1.35 to 2.71.…”

Section: Discussionmentioning

confidence: 99%

WIDE GENETIC VARIABILITY WITHIN AND AMONG FAMILIES IN A GERMPLASM COLLECTION OF Jatropha curcas L. AS REVEALED BY MICROSATELLITE MARKERS

Fernandes¹,

Dias²,

Caixeta³

et al. 2021

FPBJ

View full text Add to dashboard Cite

show abstract

“…This proves that the materials under study, although derived from different geographic regions of Brazil, present intra-and interpopulation variations. Contradictory results were obtained by One et al (2014), studying the phenotypic and genotypic diversity in Jatropha, while Osorio et al (2014) found great phenotypic variations in J. curcas in Central Table 2. Descriptive analysis of the variables-number of branches (NR), plant height (PH), stem diameter (DCL), canopy diameter (DCP), the first branch height (FBH), leaf area (LA) , number of inflorescences per plant (NI), feminine flower (FF), masculine (FM), hermaphrodites (FH), asexual (FA) diameter seed (DS), the length of the seed (CS), width of the seed (LS ), weight of 100 seeds (PS), productivity (PROD), oil content in the seeds (TOS), oil yield (PO), stomatal density in adaxial epidermis (EAD) and abaxial (EAB), leaf concentration of carotenoid total (CAR) ratio of chlorophyll a and b (Cl a / Cl b), total chlorophylls [Cl (a + b)] and specific leaf area (SLA), analyzed in populations J. curcas found in naturally different geographic regions of Brazil.…”

Section: Oliveira Et Al 4561mentioning

confidence: 95%

Phenotypic characterization of physic nut populations

Oliveira¹,

Silva²,

Oliveira³

et al. 2016

Afr. J. Agric. Res.

View full text Add to dashboard Cite

This study aimed to identify phenotypic plasticity in populations of Jatropha curcas. The experiment was conducted with a completely randomized design with eleven treatments and four replications. Morphophysiological variables were analyzed in the agricultural year, 2014-2015. Positive correlations were only observed between crown diameter and seed production, and canopy diameter and stomatal density in adaxial epidermis, indicating that canopy diameter can be used as a descriptor in plant breeding programs. Cluster analysis confirmed the existence of diversity among populations of J. curcas, with the formation of two groups, demonstrating the narrow genetic basis of Jatropha found in different regions of Brazil. The analysis of phenotypic plasticity demonstrated that morphological variables had a higher coefficient of plasticity in relation to physiological and productive variables. The morphological and physiological variables can be used in J. curcas breeding programs to study diversity and phenotypic plasticity.

show abstract

“…The genetic variation can be created by interspecific hybridization (Parthiban et al, 2009). Interspecific hybridization between J. curcas and its related species is an effective tool in transferring important traits from the wide relatives to their progenies (One, Tanya, Muakrong, Laosatit, & Srinives, 2014). Genetic improvement through interspecific cross between J. curcas and J. integerrima has played important roles in improving jatropha yield and yield components (Parthiban et al, 2009), plant architecture (One, Muakrong, Phetcharat, Tanya, & Srinives, 2014), woody biomass , and horticultural characters for ornamental purpose Sujatha & Prabakaran, 2003).…”

Section: Article Historymentioning

confidence: 99%

“…Genetic improvement through interspecific cross between J. curcas and J. integerrima has played important roles in improving jatropha yield and yield components (Parthiban et al, 2009), plant architecture (One, Muakrong, Phetcharat, Tanya, & Srinives, 2014), woody biomass , and horticultural characters for ornamental purpose Sujatha & Prabakaran, 2003). However, jatropha germplasm improvement by J. curcas × J. integerrima has faced with some bottleneck traits from J. integerrima such as small fruits and seeds (One, Tanya, Muakrong, Laosatit, & Srinives, 2014).…”

Section: Article Historymentioning

confidence: 99%

Genetic Potential of Agronomic Traits and Seed Physicochemical Properties of Novel Jatropha Lines Developed from Complex Interspecific Hybridization

Muakrong

Srinives²

2020

Agrivita.J.Agr.Sci

Self Cite

View full text Add to dashboard Cite

Fifteen jatropha lines were obtained from complex crossing between progenies derived from interspecific hybridization of Jatropha curcas and J. integerrima. They were evaluated for variability and association in yield, yield components, oil content, fatty acid composition, phorbol esters content, and growth characters. The major fatty acids in seed were oleic and linoleic acids, with a negative correlation among them. Seed yield showed a positive correlation with number of fruits per inflorescence and seeds per fruit, 100 seed weight and canopy size. A path coefficient analysis showed that number of fruits per inflorescence and canopy width had high positive direct relationship with seed yield per plant. Most characters showed high broad-sense heritability. Clustering by traits classified the breeding lines into five groups with a large distance between groups. The members in each group comprised lines of the same or similar pedigrees. Cluster I was the high seed yield group comprising two accessions (KUJL23 and KUJL18). Clustering based on principle components classified them into four groups. The lines in cluster II and III from cluster analysis were included in one group, while members of the other groups were the same in both clustering methods.

show abstract

Phenotypic and genotypic variability of F2 plants derived from Jatropha curcas × integerrima hybrid

Cited by 13 publications

References 27 publications

WIDE GENETIC VARIABILITY WITHIN AND AMONG FAMILIES IN A GERMPLASM COLLECTION OF Jatropha curcas L. AS REVEALED BY MICROSATELLITE MARKERS

WIDE GENETIC VARIABILITY WITHIN AND AMONG FAMILIES IN A GERMPLASM COLLECTION OF Jatropha curcas L. AS REVEALED BY MICROSATELLITE MARKERS

Phenotypic characterization of physic nut populations

Genetic Potential of Agronomic Traits and Seed Physicochemical Properties of Novel Jatropha Lines Developed from Complex Interspecific Hybridization

Contact Info

Product

Resources

About