ArticleBiotechnology for biofuels2012
An approach for jatropha improvement using pleiotropic QTLs regulating plant growth and seed yield.
Article in Biotechnology for biofuels, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 42 citations in OpenAlex.
- Identification of Genomic Regions for Traits Associated with Flowering in Cassava (Plants (Basel, Switzerland) · 2024Article
- Ectopic expression of Jatropha curcas JcTAW1 improves the vegetative growth, yield, and drought resistance of tobacco.BMC plant biology · 2023Article
- Genotyping by sequencing-based linkage map construction and identification of quantitative trait loci for yield-related traits and oil content in Jatropha (Jatropha curcas L.).Molecular biology reports · 2022Article
- A novel motif in the 5'-UTR of an orphan gene 'Big Root Biomass' modulates root biomass in sesame.Plant biotechnology journal · 2021Article
- Genome sequence of Jatropha curcas L., a non-edible biodiesel plant, provides a resource to improve seed-related traits.Plant biotechnology journal · 2019Article
- Construction of an ultrahigh-density genetic linkage map forBiotechnology for biofuels · 2018Article
- Incorporating pleiotropic quantitative trait loci in dissection of complex traits: seed yield in rapeseed as an example.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2017Article
- Manipulation of Auxin Response Factor 19 affects seed size in the woody perennial Jatropha curcas.Scientific reports · 2017Article
- A consensus linkage map of oil palm and a major QTL for stem height.Scientific reports · 2015Article
- Leaf-residing Methylobacterium species fix nitrogen and promote biomass and seed production in Jatropha curcas.Biotechnology for biofuels · 2015Article
- Article
- Identification of QTL markers contributing to plant growth, oil yield and fatty acid composition in the oilseed crop Jatropha curcas L.Biotechnology for biofuels · 2015Article
- Identification of candidate genes JcARF19 and JcIAA9 associated with seed size traits in Jatropha.Functional & integrative genomics · 2014Article
- Improvement of plant growth and seed yield in Jatropha curcas by a novel nitrogen-fixing root associated Enterobacter species.Biotechnology for biofuels · 2013Article
- Jatropha curcas, a biofuel crop: functional genomics for understanding metabolic pathways and genetic improvement.Biotechnology journal · 2013Review
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHigher seed yield is one of the objectives of jatropha breeding. However, genetic analysis of the yield traits has not been done in jatropha. Quantitative trait loci (QTL) mapping was conducted to identify genetic factors controlling growth and seed yield in jatropha, a promising biofuel crop.
resultsA linkage map was constructed consisting of 105 SSR (simple sequence repeat) markers converged into 11 linkage groups. With this map, we identified a total of 28 QTLs for 11 growth and seed traits using a population of 296 backcrossing jatropha trees. Two QTLs qTSW-5 and qTSW-7 controlling seed yield were mapped on LGs 5 and 7 respectively, where two QTL clusters controlling yield related traits were detected harboring five and four QTLs respectively. These two QTL clusters were critical with pleiotropic roles in regulating plant growth and seed yield. Positive additive effects of the two QTLs indicated higher values for the traits conferred by the alleles from J. curcas, while negative additive effects of the five QTLs on LG6, controlling plant height, branch number (in the 4th and 10th months post seed germination), female flower number and fruit number respectively, indicated higher values conferred by the alleles from J. integerrima. Therefore favored alleles from both the parents could be expected to be integrated into elite jatropha plant by further backcrossing and marker assisted selection. Efficient ways to improve the seed yield by applying the two QTL clusters are discussed.
conclusionThis study is the first report on genetic analysis of growth and seed traits with molecular markers in jatropha. An approach for jatropha improvement is discussed using pleiotropic QTLs, which will be likely to lead to initiation of molecular breeding in jatropha by integrating more markers in the QTL regions.
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