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Determination of forage quality by near-infrared reflectance spectroscopy in soybean
ASEKOVA, Sovetgul,HAN, Sang-Ik,CHOI, Hong-Jib,PARK, Sang-Jo,SHIN, Dong-Hyun,KWON, Chan-Ho,SHANNON, J. Grover,LEE, Jeong-Dong Scientific and Technological Research Council of T 2016 Turkish journal of agriculture & forestry Vol.40 No.1
Sovetgul Asekova,Krishnanand P Kulkarni,Jeong Hwa Kim,Minsu Kim,Jiho Park,Hyun-Jee Kim,J. Grover Shannon,Jeong-Dong Lee 한국육종학회 2015 한국육종학회 심포지엄 Vol.2015 No.07
Shoot-fresh-weight (SFW) is one of the parameters, used to estimate the total plant biomass yield in soybean. Understanding the genetic and molecular basis of SFW could help increase the total biomass production. In this particular study, we identified QTLs associated with SFW in a Recombinant Inbred Line (RIL) population derived from interspecific cross of PI483463 and Hutcheson. A total of 551 (535 SNP and 16 SSR) markers, were found to be polymorphic between the parental lines and were used to screen the RILs to develop the genetic map. Linkage analysis and QTL mapping were performed using with the software QTL IciMapping version 4.0, with the minimum LOD score of 3.0 and estimating the likelihood of a QTL and its corresponding effects at every 1cM. QTLs with LOD value > threshold LOD, as determined by 1000 permutation tests at p > 0.05 were considered as significant QTLs. The analysis identified a total of 5 QTLs associated with shoot fresh weight over two environments, with the phenotypic variation (PV) ranging from 6.34 to 21.32%, and the additive effect from -0.54 to 0.33. Among these QTLs, qFW1314_19_1 had the largest LOD scores, with PV of 21.32%. Interestingly, three QTLs, qFW2013_19_1, qFW2014_19_1, and qFW1314_19_1 identified on chromosome 19(L), showed negative additive effects, indicating the contribution from the wild parent PI483463. The QTLs identified in this study can be the targets to identify the candidate genes for the SFW and can help in developing cultivars with increased biomass potential.
Sovetgul Asekova,Krishnanand P. Kulkarni,오기원,이명희,오은영,김정인,여운상,배석복,하태정,김성업 한국육종학회 2018 Plant Breeding and Biotechnology Vol.6 No.4
Sesame (Sesamum indicum L.) is an important oilseed crop grown in tropical and subtropical areas. The objective of this study was to investigate the genetic relationships among 129 sesame landraces and cultivars using simple sequence repeat (SSR) markers. Out of 70 SSRs, 23 were found to be informative and produced 157 alleles. The number of alleles per locus ranged from 3 - 14, whereas polymorphic information content ranged from 0.33 - 0.86. A distance-based phylogenetic analysis revealed two major and six minor clusters. The population structure analysis using a Bayesian model-based program in STRUCTURE 2.3.4 divided 129 sesame accessions into three major populations (K = 3). Based on pairwise comparison estimates, Pop1 was observed to be genetically close to Pop2 with FST value of 0.15, while Pop2 and Pop3 were genetically closest with FST value of 0.08. Analysis of molecular variance revealed a high percentage of variability among individuals within populations (85.84%) than among the populations (14.16%). Similarly, a high variance was observed among the individuals within the country of origins (90.45%) than between the countries of origins. The grouping of genotypes in clusters was not related to their geographic origin indicating considerable gene flow among sesame genotypes across the selected geographic regions. The SSR markers used in the present study were able to distinguish closely linked sesame genotypes, thereby showing their usefulness in assessing the potentially important source of genetic variation. These markers can be used for future sesame varietal classification, conservation, and other breeding purposes.
The Current Status of Forage Soybean
( Sovetgul Asekova ),( J Grover Shannon ),( Jeong Dong Lee ) 한국육종학회 2014 Plant Breeding and Biotechnology Vol.2 No.4
Soybeans have a long history as a nutritious hay and silage crop. Early research extensively investigated forage yield, adaptability to various maturity zones, and nutritional values. Evaluation and breeding with diverse soybean accessions continued to optimize soybean forage yield and quality. There is still interest by breeders in developing more desirable forage soybeans, depending on market demand, and the existing interests of crop and livestock producers. In this review, we provide an update compiled from recent publications on the use and development of soybean as a forage crop.
Determination of forage quality by near-infrared reflectance spectroscopy in soybean
Sovetgul Asekova,Sang-Ik Han,Hong-Jip Choi,Sang-jo Park,Dong-Hyun Shin,Chan-Ho Kwon,J. Grover Shannon,Jeong-Dong Lee 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07
Soybeans have been the favored livestock forage for centuries. However, little studies have been succeed in estimating forage quality of soybean by near-infrared reflectance spectroscopy (NIRS). To establish NIR equations for soybean forage quality, 353 forage soybean samples, including an 181 recombinant inbred line population derived from PI 483463 (G. soja) ´ Hutcheson (G. max), 104 cultivated soybeans (G. max) and 68 wild soybeans (G. soja) were used to develop NIR for four quality parameters: crude protein (CP), crude fat (CF), neutral detergent fiber (NDF), and acid detergent fiber (ADF). Two NIR spectroscopy equations developed for CP and CF (2,5,5,1; multiple scatter correction [MSC]) and for NDF and ADF (1,4,4,1; MSC) were the best prediction equations for estimating these parameters. The coefficients of determination in external validation set (r2) were 0.934 for CF, 0.909 for CP, 0.767 for NDF, and 0.748 for ADF. The relative predictive determinant (RPD) ratios for MSC (2,5,5,1) calibration indicate that the CP (3.34) and CF (3.45) equations were acceptable for quantitative prediction of soybean forage quality, whereas the NDF (2.34) and ADF (1.97) equations were useful for screening purposes. The NIR calibration equations developed in this study will be useful in predicting the contents of forage qualities and in breeding soybean for forage
Development of soybeans with high and low α-linolenic acid
Minsu Kim, Jiho Park,Asekova Sovetgul,Jong-Hyun Chae,Jong-Tae Song,Jeong-Dong Lee 한국육종학회 2014 한국육종학회 심포지엄 Vol.2014 No.07
Soybean has around 20% oil in total seed compound. Fatty acid concentration of soybean oil is about 12% palmitic acid, 4% stearic acid, 23% oleic acid (ω-9), 54% linoleic acid(ω-6) 54% and 8% linolenic acid(ω-3). To improve oxidative stability and quality of oil, the breeding programs mainly focused on reducing saturated fatty acids, increasing oleic acid and reducing linolenic acid in soybean oil. In plant oil, an essential fatty acid omega-3 fatty acid is in the form of α-linolenic acid (ALA) therefore, increasing ALA in soybean oil became one of the breeding goals for human health. In our research group, we have two breeding programs for concentration of ALA in soybean oil. Wild soybeans have almost twice ALA than that in cultivated soybeans. Introgression of alleles from wild soybean to cultivated soybean may lead to the increase of ALA in soybean seed oil for various applications. We developed several backcross populations by elite cultivars x wild soybean to select high ALA with good agronomic traits. In the case of low linolenic acid program, we developed an EMS (ethyl methane sulfonate) mutation population to select low ALA concentration line and found a mutant line with low ALA in seed oil. The scheme for developing high ALA concentration from wild soybean and molecular characterization for low ALA line will be discussed.
Jong-Hyun Chae,Sovetgul Asekova,Ju-Eun Park,Bo-Keun Ha,Guyhwa Chung,J. Grover Shannon,Jeong-Dong Lee 한국육종학회 2012 한국육종학회 심포지엄 Vol.2012 No.07
Scientific studies have shown that essential fatty acidintake can have a dramatic impact on human health. Soybean [Glycine max(L.) Merr.] oil from current commercial cultivars typically containsaround 8%linolenic acid (18:3) known as omega-3 fatty acid. Omega-3 fatty acid plays an important role to prevent cardiovascular disease and cancer. Relatively high 18:3 content in seed oil is a trait of the wild soybean (Glycine soja Sieb. and Zucc.) ancestor of modern soybean cultivars. Wild soybean is native to Korean peninsula and recently thousands of wild soybeans collected by soybean researchers in Korea. The objective of this study were to determine the linolenic acid content for wild soybean collection and to determine the stability of linolenic acid content derived from wild soybean over environments. Fatty acid profile for 1,806 wild soybean accessions collected from South Korea was determined by GC. The range of linolenic acid was 7.3 to 23.7% with an average 15.6%. We developed a recombinant inbred population from a cross PI483463 (wild soybean with 15% 18:3) and Hutcheson (cultivar with 8% 18:3). Three RILs, RIL156, RIL159 and RIL166, with high linolenic acid content (over 14%), parents and Williams 82 as checks were grown in nine environments over 2008-2011. Results showed that the content of linolenic acid for the PI483463, Hutcheson, and Williams 82 ranged from 14.8 to 17.1, 8.5 to 9.7, and 6.9 to 8.4 % and averaged 15.4, 9.2 and 8.0%, respectively. However selected RILs 156, 159, and 166 ranged from 10.7 to 15.7, 14 to 15.8, and 14.8 to 15.8, and averaged 13.9, 14.9, and 15.2, respectively. Among the tested accessions, RIL166 was the most stable with the lowest range and CV, and had a relatively lower stability coefficient value than other genotypes. Genes related to high linolenic acid from wild soybean may be useful in developing higher linolenic acid soybean genotypes and would broaden the use of soybean in food applications to improve human nutrition and health.