Abstract:Resumo -O objetivo deste trabalho foi identificar QTL (locos de caráter quantitativo), utilizando marcadores do tipo microssatélites (SSR), relacionados à fixação biológica de nitrogênio (FBN), em uma população F 2:7 de cultivares de soja (Glycine max) com diferentes capacidades de FBN, Bossier (alta) e Embrapa 20 (média). Foram mapeados 16 marcadores, distribuídos em seis grupos de ligação, cobrindo uma região de 5% do genoma (151,6 cM). A análise de regressão identificou 12 associações significativas em quat… Show more
“…On the other hand, Wiebold et al (1981) observed a low to moderate (36% to 56%) heritability in the broad sense, for net photosynthesis of individual leaves, in the initial F 3 and F 4 generations using an infrared gas analysis system at temperatures varying from 29 to 31 o C. Table 1 shows heritability values for W ST , n N e W N of 87.47%, 18.70% e 32.02%, respectively. These values are in agreement with the observations of Santos et al (2006) who estimated heritability values of 49% for stem dry mass, 30% for nodule number, and 33% for nodule dry mass, in a segregating population composed of 157 recombinant inbred lines derived from the cross between two soybean cultivars identified as contrasting for biological nitrogen fixation capacity. Therefore, it can be concluded that the evaluated traits are under environment effects, as well as that the present population can be used in studies aimed at evaluating heritability of such traits.…”
Section: Discussionsupporting
confidence: 91%
“…Mansur et al (1993) that the LGs C1, C2 and D1 have loci associated with the traits leaf area and maturity of the soybean. The identification of a QTL associated with W ST in the LG L confirms the observation that in this LG there is a QTL associated with WST (Santos et al, 2006) and plant height of G. max (Lee et al, 1996).…”
This work aimed to identify the quantitative trait loci (QTL) associated with photosynthesis and growth and productivity traits of soybean and to study possible associations between these traits by the analysis of coincidence of QTL in linkage groups (LGs). Thus, populations of recombinant inbred lines (RILs) of the F7 and F8 generations derived from the cross between the varieties BARC-8 and Garimpo were used. The traits evaluated were net assimilation rate of CO2 under saturating light (Asat), potential photosynthesis rate (Pmax), leaf area (A), specific leaf area (SLA), specific leaf nitrogen (N); root (W R), nodule (W N), stem (W ST), leaf (W L), pod (W P) and plant dry mass (W T); nodule (nN), seed (n s), and pod number (nP); seed fresh mass per plant (W S), one-hundred seed fresh mass (W HS) and seed protein percentage (P%). It was possible to identify the following QTL associated with the following soybean traits: SLA, Asat, N, W R, W ST, W L, W T, W P, W HS, n s and nP, indicating that the RIL population has a great potential for mapping loci associated with quantitative traits of the soybean crop. The correlations between the soybean traits were partially confirmed by coincidence of QTL.
“…On the other hand, Wiebold et al (1981) observed a low to moderate (36% to 56%) heritability in the broad sense, for net photosynthesis of individual leaves, in the initial F 3 and F 4 generations using an infrared gas analysis system at temperatures varying from 29 to 31 o C. Table 1 shows heritability values for W ST , n N e W N of 87.47%, 18.70% e 32.02%, respectively. These values are in agreement with the observations of Santos et al (2006) who estimated heritability values of 49% for stem dry mass, 30% for nodule number, and 33% for nodule dry mass, in a segregating population composed of 157 recombinant inbred lines derived from the cross between two soybean cultivars identified as contrasting for biological nitrogen fixation capacity. Therefore, it can be concluded that the evaluated traits are under environment effects, as well as that the present population can be used in studies aimed at evaluating heritability of such traits.…”
Section: Discussionsupporting
confidence: 91%
“…Mansur et al (1993) that the LGs C1, C2 and D1 have loci associated with the traits leaf area and maturity of the soybean. The identification of a QTL associated with W ST in the LG L confirms the observation that in this LG there is a QTL associated with WST (Santos et al, 2006) and plant height of G. max (Lee et al, 1996).…”
This work aimed to identify the quantitative trait loci (QTL) associated with photosynthesis and growth and productivity traits of soybean and to study possible associations between these traits by the analysis of coincidence of QTL in linkage groups (LGs). Thus, populations of recombinant inbred lines (RILs) of the F7 and F8 generations derived from the cross between the varieties BARC-8 and Garimpo were used. The traits evaluated were net assimilation rate of CO2 under saturating light (Asat), potential photosynthesis rate (Pmax), leaf area (A), specific leaf area (SLA), specific leaf nitrogen (N); root (W R), nodule (W N), stem (W ST), leaf (W L), pod (W P) and plant dry mass (W T); nodule (nN), seed (n s), and pod number (nP); seed fresh mass per plant (W S), one-hundred seed fresh mass (W HS) and seed protein percentage (P%). It was possible to identify the following QTL associated with the following soybean traits: SLA, Asat, N, W R, W ST, W L, W T, W P, W HS, n s and nP, indicating that the RIL population has a great potential for mapping loci associated with quantitative traits of the soybean crop. The correlations between the soybean traits were partially confirmed by coincidence of QTL.
“…While the rj 1 allele [15] conditions a restriction of nodulation with a broad range of rhizobia, other genes like Rj 2 [15], Rj 3 [16], Rj 4 [17] , Rj 5 and Rj 6 [18] restrict nodulation only with defined members of bradyrhizobia serogroups. Furthermore, Nicolás et al [19,20], Santos et al [21] found that nodulation of soybean cultivars is also under the control of QTL (quantitative traits) such that soybean cultivars can be grouped in high and low nodulating ones.…”
The purpose of this research was to evaluate the nodulation potential of 31 Argentinean soybean commercial cultivars. Those with the highest nodulation capacity developed twice the amount of nodules than the low nodulating ones, which is the variation contained in soybean genotypes. Furthermore, this was not due to bacterial promiscuity, since the response was independent of the bradyrhizobia strain inoculated. The ability of cultivars to develop a larger number and biomass of nodules was unrelated with the maturity group they belong to and also was not a response to quorum sensing effects. Our results suggest that breeding programs can be aimed at improving the nodulation capacity of soybean and that cultivars from different maturity groups can be a source of nodulation QTLs.
“…Santos et al (2006) relacionaram o efeito do QTL à herdabilidade da característica. Assim, a identificação de QTL de pequeno efeito requer grande quantidade de marcadores estrategicamente ordenados.…”
Cluster analysis of different marker densities in genetic mapping using genome scanSimulation has contributed to the advancement of genomics in the different areas of genetic improvement. Genetic mappings were simulated using different densities of genetic markers to estimate phenotypic values of quantitative traits with heritabilities of 0.10; 0.40 and 0.70 in marker assisted selection (MAS). Cluster analysis with phenotypic performances was carried out to generate classification structures among the densities aiming to optimize QTL detection . The genetic simulation system (Genesys) was used to simulate three genomes (each consisting of a single characteristic differing in the heritability value) and the base and original populations. Each initial population was subjected to selection assisted by markers for 20 consecutive generations, in which selected parents mated selectively, between best and worst. The mapping using medium to high marker density showed efficiency in the phenotypic progress
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.