Quantitative trait loci for growing degree days to flowering and photoperiod response in Sunflower (Helianthus annuus L.)

Leόn, Alberto J.; Lee, M.; Andrade, Fernando H.

doi:10.1007/s001220051673

Cited by 70 publications

(39 citation statements)

References 29 publications

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“…The additive effect is predominant and alleles giving a positive effect come from the parent L1. Recently six QTLs associated with growing-degree-days to flowering and photoperiod response were identified by Leon et al (2001). The results presented here revealed regions related to different agronomic traits studied, especially the percentage of oil in the grain (POG).…”

Section: Qtl Analysismentioning

confidence: 80%

“…Starting a program of markerassisted selection becomes possible after the identification of QTLs for traits of interests. QTLs controlling important traits such as resistance to downy mildew and black stem (Rachid Al-Chaarani et al 2001), percentage of oil in grain, 1,000-grain weight and Sclerotinia tolerance (Mestries et al 1998), days from sowing to flowering with the effect of the environment (Leon et al 2001) and photosynthesis parameters (Hervé et al 2001), are detected in sunflower. In this paper, we present a new genetic map of sunflower, constructed with both AFLP and microsatellite markers, based on a population of 244 F 3 families, obtained by crossing two inbred lines of sunflower.…”

Section: Introductionmentioning

confidence: 99%

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Mapping and analysis of quantitative trait loci for grain oil content and agronomic traits using AFLP and SSR in sunflower (Helianthus annuus L.)

Mokrani

Gentzbittel

Azanza³

et al. 2002

Theor Appl Genet

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Crosses were made between two inbred lines of sunflower. Parents and 118 F(3) families were planted in the field in a randomized complete block design in two replications. Genetic control for some agronomical traits: grain weight by plant (GWP), 1,000-grain weight (TGW), percentage of oil in grain (POG) and sowing to flowering date (STF) was investigated in F(3) families and their parents. Genetic variability was observed among the 118 F(3) families for all the traits studied. Genetic gain was obtained when the best F(3) family, or the mean of 10% of the selected families was compared with the best parent for GWP, TWG and POG. Heritability was 0.23 for GWP, 0.55 for TGW, 0.57 for POG and 0.32 for STF. A set of 244 F(3) families from the same cross, including the above 118 mentioned families and their two parents, were screened with 276 AFLP and microsatellite markers and a linkage map was constructed based on 170 markers. Two putative QTLs for the GWP trait ( gmp), one QTL for TGW ( tgw), six QTLs for POG ( pog) and two for STF ( stf) were detected. The percentage of phenotypic variance explained by each QTL ranged from 2.6% to 70.9%. The percentage of total phenotypic variance explained was 50.7% for GWP, 5.4% for TGW, 90.4% for POG and 89.3% for STF. Although these regions need to be more-precisely mapped, the information obtained should help in marker-assisted selection.

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Section: Qtl Analysismentioning

confidence: 80%

Section: Introductionmentioning

confidence: 99%

Mapping and analysis of quantitative trait loci for grain oil content and agronomic traits using AFLP and SSR in sunflower (Helianthus annuus L.)

Mokrani

Gentzbittel

Azanza³

et al. 2002

Theor Appl Genet

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“…The QTL reported by these authors accounted for 20 to 40% of the phenotypic variation, whereas for the present cross the QTL accounted for 64% of the variation in 1997 and 75% in 1999. This was in the same range value of 73% for the variation explained by the five QTL identified by Leon et al (2001). Leon et al (2001) dissected the flowering date into growing degree days and photoperiod components in multiple environments.…”

Section: Discussionmentioning

confidence: 91%

“…Many studies have been conducted in crops to identify QTL for important characteristics in agronomic and developmental traits such as days to flowering and photoperiod response (Leon et al 2001) or somatic embryogenesis (Flores Berrios et al 2000) in sunflower. Mestries et al (1998) reported QTL for seed weight per capitulum, seed oil content and flowering date employing F3 families from a cross used primarily to study resistance to Sclerotinia sclerotiorum.…”

Section: Introductionmentioning

confidence: 99%

Comparative genetic analysis of quantitative traits in sunflower (Helianthus annuus L.). 2. Characterisation of QTL involved in developmental and agronomic traits

et al. 2003

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Seed weight and oil content are important properties of cultivated sunflower under complex genetic and environmental control, and associated with morphological and developmental characteristics such as plant height or flowering dates. Using a genetic map with 290 markers for a cross between two inbred sunflower lines and 2 years of observations on F3 families, QTL controlling seed weight, oil content, plant height, plant lodging, flowering dates, maturity dates and delay from flowering to maturity were detected. QTL detected were compared between the F2 and F3 generations and between the 2 years of testing for the F3 families in 1997 and 1999. Some of the QTL controlling seed weight overlapped with those controlling oil content. Several other co-localisations of QTL controlling developmental or morphological characteristics were observed and the relationships between the traits were also shown by correlation analyses. The relationships between all these traits and with resistance to Sclerotinia sclerotiorum and Diaporthe helianthi are discussed.

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“…A low PTQ means little growth during the window for tiller appearance and hence little excess assimilates to produce tillers. While relatively high PTQ would increase tiller number (Leon et al 2001). In summary, since tiller number in rice has a low heritability (Xu and Shen 1991), the QTLs identified on tiller number are often inconsistent across studies.…”

Section: Discussionmentioning

confidence: 99%

Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines

et al. 2012

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Twelve single segment substitution lines (SSSLs) in rice, which contain quantitative trait loci (QTLs) for tiller number detected previously, were used to study dynamic expression of the QTLs in this study. These SSSLs and their recipient, Hua-Jing-Xian 74 (HJX74), were used to produce 78 crossing combinations first, and then these combinations and their parents were grown in two planting seasons with three cropping densities. Tiller number was measured at seven developmental stages. QTL effects including main effects (additive, dominance and epistasis), QTL × season and QTL × density interaction effects were analyzed at each measured stage. The additive, dominant and epistatic effects of the 12 QTLs as well as their interaction effects with the seasons and with the densities all display dynamic changes with the development. Eight QTLs are detected with significant additive effects and/or additive × season and/or additive × density interaction effects at least at one developmental stage, and all QTLs have significant dominant and epistatic effects and/or interaction effects involved in. For most of the QTLs dominant effects are much bigger than additive effects, showing overdominance. Each QTL interacts at least with eight other QTLs. Additive and dominant effects of these QTLs are mostly positive while epistatic effects are negative and minor. Most of the QTLs show significant interactions with planting seasons and cropping densities, but the additive effects of QTLs Tn3-1 and Tn3-2, the dominant effects of QTL Tn7 and Tn8, and the epistatic effects of 14 pairs of QTLs are stable across seasons and the dominant effect of QTL Tn3-3 and the epistatic effects of QTL pairs Tn2-1/Tn6-2, Tn2-1/Tn9 and Tn3-3/Tn6-3 are nearly consistent across cropping densities. This paper is the first report of dynamics on dominances and epistasis of QTLs for tiller number in rice and provides abundant information, which is useful to improve rice tiller number via heterosis and/or QTL pyramiding.

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Quantitative trait loci for growing degree days to flowering and photoperiod response in Sunflower (Helianthus annuus L.)

Cited by 70 publications

References 29 publications

Mapping and analysis of quantitative trait loci for grain oil content and agronomic traits using AFLP and SSR in sunflower (Helianthus annuus L.)

Mapping and analysis of quantitative trait loci for grain oil content and agronomic traits using AFLP and SSR in sunflower (Helianthus annuus L.)

Comparative genetic analysis of quantitative traits in sunflower (Helianthus annuus L.). 2. Characterisation of QTL involved in developmental and agronomic traits

Dynamic analysis of QTLs on tiller number in rice (Oryza sativa L.) with single segment substitution lines

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