Abstract:Yield is a multi-factorial trait determined by several genetic traits and highly correlated with important agronomic traits in many crops including soybean. [Glycine max (L.)]. Plant height, seed and pod numbers, and seed weight are all components of yield and polygenic in nature. The objective of this study was to identify quantitative trait loci (QTL) for days to germination, days to flowering, plant height, pod number, seed number, 100-seed weight, and total seed weight in soybean using the using the PI 438… Show more
“…These correlation coefficients confirm the results obtained from Panthee et al (2007) where they found height being positively correlated with lodging (r=0.58) and lodging significantly correlated with maturity (r=0.17). Height was found being positively correlated with yield (r=0.2454); this estimate is close to the one obtained by Bobby et al (2012) which was r=0.307 and lower than the value obtained by Cicek et al (2006) of r=0.58.…”
Section: Discussionsupporting
confidence: 70%
“…According to Cicek et al (2006), we can expect an improvement in yield in taller plants compared to shorter ones. Also, a non-significant correlation between these two traits has been reported (Bobby et al, 2012;Diondra et al, 2008). Height has been negatively correlated with yield and this may be due to a positive correlation between height and lodging (Yuan et al, 2002).…”
The selection of genotypes based on phenotypic data requires evaluation through different environments in order to accurately measure the genotype x environment (GxE) interaction effect. The purpose of this study was to assess 94 F5:8 recombinant inbred lines (RIL) in terms of their yield performance and other agronomic traits (that is, height, maturity, and lodging); and compare the results to the parental lines (that is, 'Spencer' and 'LS97-1610') in two different experimental locations (that is, Dowell, IL and Harrisburg, IL) in 2011. One sample t-test was applied in order to test RIL mean yields against mid-parental values. The average yield for RIL was greater than that of the parents in Dowell and in the combined data set. This outcome was dissimilar to that found in Harrisburg where the parent's yield was greater. The broad-sense heritability for each trait was estimated and they ranged from 34.84 to 90.84% for yield and maturity, respectively. Significant correlation coefficients were detected for all pairwise combinations of traits apart from lodging x yield. The results of this study revealed promising broad-sense heritability for yield and other agronomic traits in a RIL population derived from two parental lines whose profiles differ for both yield traits and disease resistance.
“…These correlation coefficients confirm the results obtained from Panthee et al (2007) where they found height being positively correlated with lodging (r=0.58) and lodging significantly correlated with maturity (r=0.17). Height was found being positively correlated with yield (r=0.2454); this estimate is close to the one obtained by Bobby et al (2012) which was r=0.307 and lower than the value obtained by Cicek et al (2006) of r=0.58.…”
Section: Discussionsupporting
confidence: 70%
“…According to Cicek et al (2006), we can expect an improvement in yield in taller plants compared to shorter ones. Also, a non-significant correlation between these two traits has been reported (Bobby et al, 2012;Diondra et al, 2008). Height has been negatively correlated with yield and this may be due to a positive correlation between height and lodging (Yuan et al, 2002).…”
The selection of genotypes based on phenotypic data requires evaluation through different environments in order to accurately measure the genotype x environment (GxE) interaction effect. The purpose of this study was to assess 94 F5:8 recombinant inbred lines (RIL) in terms of their yield performance and other agronomic traits (that is, height, maturity, and lodging); and compare the results to the parental lines (that is, 'Spencer' and 'LS97-1610') in two different experimental locations (that is, Dowell, IL and Harrisburg, IL) in 2011. One sample t-test was applied in order to test RIL mean yields against mid-parental values. The average yield for RIL was greater than that of the parents in Dowell and in the combined data set. This outcome was dissimilar to that found in Harrisburg where the parent's yield was greater. The broad-sense heritability for each trait was estimated and they ranged from 34.84 to 90.84% for yield and maturity, respectively. Significant correlation coefficients were detected for all pairwise combinations of traits apart from lodging x yield. The results of this study revealed promising broad-sense heritability for yield and other agronomic traits in a RIL population derived from two parental lines whose profiles differ for both yield traits and disease resistance.
“…This RIL population was developed by the Agronomy Research Center, Iowa State University by Dr. Silvia Cianzio and was provided to us by Dr. Khalid Meksem of Southern Illinois University. The population was grown in two different seasons and locations (FSU campus, Fayetteville, NC -2010 andSaint Pauls, NC -2011) as described earlier (Ragin, Bazelle, Clark, Kantartzi, Meksem, Akond, and Kassem, 2012). RIL population and parental lines were harvested at maturity and seeds were dried for having samples for isoflavones analysis.…”
Section: Plant Materials Isoflavones Quantification and Data Analysismentioning
Seed isoflavone content of soybean (Glycine max L. Merr.) is a trait of moderate heritablity and an ideal target for marker selection. To date over 20 QTL have been identified underlying this trait among seven populations. The objectives of this study were to identify additional QTL and candidate genes controlling isoflavone content in a set of recombinant inbred line (RIL) populations of soybean grown in two different seasons. Variations of isoflavones namely daidzein, glycitein and genistein contents over two growing seasons and locations suggests that isoflavones are influenced by both genes and environments. Six QTL were identified on five different chromosomes (Chr) or linkage groups (LG) that controlled daidzein (Chr_2/LG-M; Chr_17a/LG-D2), glycitein (Chr_2/LG-D1b; Chr_8/LG-A2) and genistein (Chr_8/LG-A2; Chr_12/LG-H) respectively in the seeds grown in season 2010. Two QTL were identified for daidzein (Chr_6/LG-C2; Chr_13b/LG-F), two QTLs for glycitein (Chr_1/LG-D1a; Chr_17c/LG-D2) and five QTLs for genistein (Chr_3/ LG-N; Chr_8/LG-A2; Chr_9/LG-K; Chr_18/LG-G) in the seeds of the 2011 growing season. Genes located within QTL confidence intervals were retrieved and gene ontology (GO) terms were used to identify those related to the flavonoid biosynthesis process. Twenty six candidate genes were identified that may be involved in isoflavones accumulation in soybean seeds.
“…The number of pods per plant is one of the most agronomically important traits in soybean [ Glycine max (L.) Merri], and is strongly positively correlated with yield [ 1 ]. Numerous studies have mapped quantitative trait loci (QTLs) for pod number, with the aim of increasing the efficiency of breeding for higher yields [ 2 – 18 ]. Previously, 15 QTLs for total pod number per plant (TPNPP) were identified using recombinant inbred lines (RILs) derived from a cross between BARC-8 and Garimpo [ 2 ], while another study identified 12 TPNPP QTLs on chromosomes B1, C2, D1a, F, J, and N using a F 2:10 RIL population derived from a cross between Charleston and Dongnong 594 [ 3 ].…”
Pod number is an important factor that influences yield in soybean. Here, we used two associated recombinant inbred line (RIL) soybean populations, RIL3613 (containing 134 lines derived from Dongnong L13 × Heihe 36) and RIL6013 (composed of 156 individuals from Dongnong L13 × Henong 60), to identify quantitative trait loci (QTLs) regulating the vertical distribution and quantity of seeds and seed pods. The numbers of pods were quantified in the upper, middle, and lower sections of the plant, as well as in the plants as a whole, and QTLs regulating these spatial traits were mapped using an inclusive complete interval mapping method. A total of 21 and 26 QTLs controlling pod-number-related traits were detected in RIL3613 and RIL6013, respectively, which explained 1.25–11.6698% and 0.0001–7.91% of the phenotypic variation. A total of 34 QTLs were verified by comparison with previous research, were identified in both populations, or were found to regulate multiple traits, indicating their authenticity. These results enhance our understanding of the vertical distribution of pod-number-related traits and support molecular breeding for seed yield.
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.