Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Validation Of Quantitative Trait Loci Conditioning Seed Phytate And Protein Concentration In Soybean Glycine Max L Merrill
Download Validation Of Quantitative Trait Loci Conditioning Seed Phytate And Protein Concentration In Soybean Glycine Max L Merrill full books in PDF, epub, and Kindle. Read online Validation Of Quantitative Trait Loci Conditioning Seed Phytate And Protein Concentration In Soybean Glycine Max L Merrill ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] by : Andrew M. Scaboo
Download or read book Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] written by Andrew M. Scaboo and published by . This book was released on 2005 with total page 84 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] by :
Download or read book Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merr.] is grown for its high oil and protein concentration, which may be used in a wide array of industries throughout the world. It contributes about 15 billion dollars annually to the US economy. Focusing on protein concentration and quality, I was interested to discover genomic regions as quantitative trait loci (QTL) associated with nitrogen accumulation during reproductive stages, protein concentration, storage protein fractions, amino acid composition, seed size, oil content, and agronomic traits. A population of 101 F6-derived recombinant inbred lines (RIL) created from a cross of N87-984-16 x TN93-99 were used to achieve these objectives. Experiments were conducted in six environments during 2002 and 2003. A significant (P
Book Synopsis Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed by : Mehrzad Eskandari
Download or read book Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed written by Mehrzad Eskandari and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds by : Ravi V. Mural
Download or read book Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds written by Ravi V. Mural and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean is mainly cultivated for its oil and high quality protein meal for feed, fuel and food uses. Achieving an improved balance of protein and oil in the seed, along with yield will enhance crop value. In practice, this has been difficult to achieve due to significant negative correlations of oil and protein, and the mostly negative relationship reported between seed protein concentration and yield. Most previous studies have focused on increasing seed oil concentration (SOC) or seed protein concentration (SPC) individually, and a few focused on decreasing raffinosacharides to improve digestibility and metabolizable energy of the feed for monogastric animals. None of the studies to date have considered improving the balance of SOC and SPC by also considering variation in total soluble sugars, which comprise the third largest component in soybean seed. Three related bi-parental recombinant inbred line (RIL) populations were developed by crossing two plant introduction lines that have lower total sugar concentration with two high-yielding soybean lines having higher SOC resulting in two pairs of half-sib populations. The objectives of this study were to identify genomic regions that influence oil, protein and carbohydrate concentrations in the seed in three uniquely structured bi-parental RIL populations using Molecular Inversion Probes (MIPs) markers, and evaluate relationships among seed composition traits and seed yield, seed weight and plant maturity from multiple environments. In total, 51 QTLs for seed, seed composition and plant traits were mapped on 17 chromosomes. All populations showed transgressive segregation for the sum of seed oil+protein concentration (SUM) in both directions but showed little transgressive segregation for SOC or SPC in two populations. There was a positive correlation of SOC and SPC with the SUM in two populations and a near to zero relationship of SUM with plot yield. Over the three populations, about 85% of the lines met processor targets of 10-12 pounds of oil per bushel and would produce 48% protein meal. The selected lines from this study could be further evaluated for yield and desirable agronomic traits in multi-location trials, which could lead to higher yielding soybean lines with improved seed composition. This work will ultimately lead to higher profitability for both the processors and farmers.
Book Synopsis Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations by : Rachel Whaley
Download or read book Characterization of the Genetic and Environmental Effects Underlying Soybean Seed Protein Concentration in Two Recombinant Inbred Populations written by Rachel Whaley and published by . This book was released on 2018 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max (L.) Merrill) is a significant source of high-quality plant-based protein. An increased awareness of soybean health benefits has spurred a greater demand for soy-based food products, which has attracted attention from researchers, soybean growers and food processors. Soybean seed protein concentration is a complex trait that is influenced by genotype, environment and genotype-by-environment interaction effects, and is negatively associated with seed yield. The main objectives of this study were to: (i) determine the effects of genotype and genotype-by-environment interaction on seed protein concentration; and (ii) identify quantitative trait loci (QTL) associated with seed protein concentration suitable for marker-assisted selection. Genotypic and phenotypic data were collected from multi-environment trials of two recombinant inbred line (RIL) populations, derived from the high-protein cultivar, AC X790P (49%, dry weight basis), and low protein commercial cultivars, S18-R6 (41%) and S23-T5 (42%). Genotype, environment and genotype-by-environment interaction effects significantly affected seed protein concentration and seed yield. Significant correlations between seed protein concentration and seed yield were not observed in either population, and GGE biplots made it possible to identify for competitive high-protein genotypes. Seventy-nine QTL associated with seed protein concentration (with R2 ranging from 4.1% to 24.4%) were identified, 14 of which (with R2 ranging from 10.0% to 20.7%) were deemed desirable for marker-assisted selection.
Book Synopsis Assessing the Efficiency of Phenotypic and Molecular Genotype Selection Methods for Complex Traits in Soybean by : Catherine Nyaguthii Nyinyi
Download or read book Assessing the Efficiency of Phenotypic and Molecular Genotype Selection Methods for Complex Traits in Soybean written by Catherine Nyaguthii Nyinyi and published by . This book was released on 2011 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merrill] is an important source of protein and oil for both nutritional and industrial applications. Increasing seed yield and protein concentration is the main goal of many soybean breeders to meet market demands. Soybean breeders have occasionally succeeded in producing high yielding cultivars with increased protein content using conventional means despite the negative correlation that exists between these two traits. The efficiency of breeding for seed yield and protein concentration improvement in soybean could be increased using marker assisted selection (MAS) breeding strategies to select genotypes containing favorable alleles for faster cultivar development. The objective of this study was to identify quantitative trait loci (QTL) associated with seed yield, and separately, seed protein concentration and then compare phenotypic selection (PHE) and MAS approaches for seed yield and protein concentration improvement. Two hundred and eighty two F5 derived recombinant inbred lines (RILs) were developed from a cross of Essex [centered x, actual symbol not reproducible] Williams 82 and genotyped with 1586 single nucleotide polymorphism (SNP) markers. The population was divided by days to maturity (10 days) into three tests (early, mid and late) each with 94 genotypes, with one genotype overlapping in maturity in the mid and late tests. In 2009, the three tests, parents and checks were grown in a randomized complete block design (RCBD) in: Fayetteville, AR; Harrisburg, IL and, Knoxville, TN replicated three times, and evaluated for seed yield and protein concentration. Data were combined within each test across three locations and analyzed using the MIXED procedure of SAS to determine that there were significant genotypic differences among RILs. Composite interval mapping (CIM) detected nine seed yield and ten protein concentration QTL which may be good candidates for MAS as they were environmentally stable. Selections to compare PHE, and MAS for seed yield and protein concentration provided 8 replicated field tests in four relative maturity groups grown in a RCBD replicated three times in three locations in Tennessee, in 2010. We demonstrated that both MAS and PHE may be used to select quantitative traits; however, more studies are required to optimize MAS for quantitative trait improvement.
Book Synopsis Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm by : Matthew David Smalley
Download or read book Quantitative Trait Loci for Soybean Seed Yield in Elite and Plant Introduction Germplasm written by Matthew David Smalley and published by . This book was released on 2002 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: Genetic improvement for yield in soybean [Glycine max (L.) Merrill] has been accomplished by breeding within a narrow elite gene pool. Plant introductions (PIs) may be useful for obtaining additional increases in yield if unique and desirable alleles at quantitative trait loci (QTL) can be identified. The objectives of the study were to identify QTL for yield in elite and PI germplasm and to determine if the PIs possessed favorable alleles for yield. Allele frequencies were measured with simple sequence repeat (SSR) markers in three populations that differed in their percentage of PI parentage. AP10 had 40 PI parents, AP12 had 40 PI and 40 elite parents, and AP14 had 40 elite parents. Four cycles of recurrent selection for yield had been conducted in the three populations. Nei's genetic distance indicated that AP10, AP12, and AP14 remained distinct through cycle 4 (C4), but that the genetic diversity narrowed within each population. Less gametic phase disequilibrium (GPD) was observed in the parents used to form the cycle 0 (C0) populations than in C4 of AP12 and AP14. Allele frequencies of the highest-yielding C4 lines in the three populations were compared with the parents used to form the populations of the initial cycles. Allele flow was simulated to account for genetic drift. Ninety-two SSRs were associated with 56 yield QTL. Nine of the QTL had been identified in previous research. Thirty-three favorable marker alleles were unique to the PI parents. The restriction of alleles from the 40 C0 parents to the 20 cycle 1 (C1) parents of AP10 was reflected in the number of alleles that had frequency changes and could explain the reduced genetic variance for yield in the C4 of AP10. Genetic asymmetry may account for the different genetic gain for yield that had been observed between AP10 and AP14.
Book Synopsis Detection of Quantitative Trait Loci for Marker-assisted Selection of Soybean Isoflavone Genistein by : Christopher Joseph Smallwood
Download or read book Detection of Quantitative Trait Loci for Marker-assisted Selection of Soybean Isoflavone Genistein written by Christopher Joseph Smallwood and published by . This book was released on 2012 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine max (L.) Merrill] is an important crop throughout the world. Among the many seed quality traits contained in soybean are isoflavones, which are associated with numerous health benefits, including cancer prevention, improved cardiovascular health, improved bone health, and reduced menopausal symptoms. This study sought to identify quantitative trait loci (QTL) controlling soybean isoflavones genistein, daidzein, glycitein, and total isoflavone content to gain a better understanding of genetic regions controlling production of these compounds. The phenotypic data for QTL detection was generated in 2009 from a population of 274 recombinant inbred lines (RILs) separated into three field tests based on maturity (early, mid, and late) and grown in three locations (Knoxville, TN; Harrisburg, IL; and Stuttgart, AR). Genotypic data was obtained using 1,536 single nucleotide polymorphism (SNP) markers, of which 480 were polymorphic. Overall, 21 QTL were detected for soybean isoflavones, including 7 for genistein, 5 for daidzein, 3 for glycitein, and 6 for total isoflavones. Of these 21 QTL, 8 were newly detected, while 13 were validated from previous studies. Marker-assisted selections (MAS) were made using the QTL for genistein, which is typically the most abundant isoflavone, for comparison with phenotypic selections. Challenges exist when considering MAS for quantitative traits such as isoflavones, including concerns with epistatic interactions and genotype × environment interactions. However, isoflavone improvement with MAS would be useful as phenotyping data is costly and time consuming. Comparisons of MAS and phenotypic selection methods were done in 2010 and 2011 in field tests grown in three locations (Knoxville, TN; Springfield, TN; Milan, TN). Results from this study indicate that phenotypic selections outperformed MAS for genistein. However MAS for genistein did show improvements in relation to parental lines, as well as unselected RILs included in field tests for comparison. Additionally, genistein was significantly correlated with other isoflavones, as well as with yield. More research should be done as the costly and time consuming process of collecting phenotypic data for isoflavones provides incentive to pursue MAS as an improvement strategy.
Book Synopsis Association Mapping for Soybean (glycine Max L. Merr.) Protein and Oil Content by : Joseph Najjar
Download or read book Association Mapping for Soybean (glycine Max L. Merr.) Protein and Oil Content written by Joseph Najjar and published by . This book was released on 2020 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean [Glycine Max (L.) Merrill] is an important economic crop because of its high content of seed protein and oil. Seed oil and protein content are quantitative inherited traits. The genetics of seed protein and oil levels have been extensively studied, with 367 QTL reported for protein and 475 QTL reported for oil to date. Validation of such QTLs, and identification of easily-automatable molecular markers around these QTL will aid the progression of breeding for such traits. The focus of this research was to discover novel and verify previously reported QTL related to protein and/or oil content via Genome-Wide Association Study (GWAS). A total of 391 Plant Introduction (PI) lines from the Germplasm Resource Information Network (GRIN) database were used, representing contrasting seed protein and oil content. A single-row plot with one replication was grown in 3-meter rows in Fayetteville, AR in 2015, and with two replications in Fayetteville, AR, Stuttgart, AR, and Raleigh, NC in 2016 in a randomized-complete block design. Seed samples were assessed for protein and oil concentration using the Perten DA 7250™ NIR analyzer. To perform the GWAS and detect QTL controlling both protein and oil content in soybean, the resulting seed content phenotypic data was utilized in conjunction with publicly available SoySNP50k iSelect BeadChip database from the USDA-ARS Soybean Germplasm Collection. We detected significant markers previously reported for seed protein content on chromosome 5, 7, 9, 18, and 20, and on chromosomes 7, 8, 13, 15, 19, and 20 for seed oil content. In addition, we reported new QTL for seed protein on chromosomes 8, 10, 15, 16, and 20, and for oil on chromosomes 5, 7, 8, and 18. Future QTL mapping via use of bi-parental populations will be necessary to confirm QTL and validate the genes identified as novel in this study.
Book Synopsis Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean by : Samantha J. McConaughy
Download or read book Genomic Regions Involved in Seed Protein, Oil, and Carbohydrate Concentration in Soybean written by Samantha J. McConaughy and published by . This book was released on 2017 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybeans [Glycine max (L.) Merr.] are processed for their high-quality vegetable oil and protein meal for feed, food, and industrial applications but, because of the high negative correlations between seed protein and oil concentration, it has been difficult to develop soybean lines with concomitant increases in both protein and oil. Previous studies considered only seed protein or oil concentration. This study is unique in that populations were developed using parental lines that differed in their protein, oil, and total carbohydrate concentrations in the mature seed. Two soybean populations were developed using soybean accession PI 547827 with lower total sugars as a common parent, crossed to two different soybean lines with modified protein and oil concentrations. The objectives were to identify quantitative trait loci (QTL) related to seed protein, oil, and carbohydrate concentration as well as for individual sugars sucrose, raffinose, and stachyose. For each of the two crosses, F4-derived recombinant inbred lines (RIL) were developed through single seed descent resulting in 526 and 404 RILs, respectively. Genotypes were determined for F4 plants by genotyping-by-sequence (GbS), resulting in 1,650 to 2,850 polymorphic SNPs used for QTL analyses. Populations were grown in an augmented design in two Nebraska and one Puerto Rico environment to evaluate seed composition, yield, and maturity. The QTL analyses identified 23 novel QTL across all seed composition traits, protein, oil, sum(p+o) or carbohydrate concentration, and each of the sugars on 17 different linkage groups. Ninety nine percent of the lines in the high protein cross, and 100% of the lines in the high oil cross exceeded processor targets of 11 pounds of oil per bushel and a soybean meal with greater than 47.5% protein. Correlations between yield and the sum(p+o) were either zero or slightly positive, indicating that it should be possible to identify high-yielding lines with increased seed protein and oil concentration. Populations like these, and the QTL identified here, will be useful in achieving those objectives to provide more value for both the processor and producer.
Book Synopsis Detection and Validation of Agronomic and Seed Quality Quantitative Trait Loci in Soybean by : Catherine Nyaguthii Nyinyi
Download or read book Detection and Validation of Agronomic and Seed Quality Quantitative Trait Loci in Soybean written by Catherine Nyaguthii Nyinyi and published by . This book was released on 2008 with total page 111 pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean seed quality and agronomic traits are important commercially. Agronomic traits such as yield, plant height, lodging, and adapted maturity have been the primary focus of breeders for many years. Seed quality traits are also important as they affect the market price of soybean. Higher protein soybean historically is valued more per unit. It is the goal of plant breeders therefore to simultaneously improve seed quality and agronomic traits. Seed quality and agronomic traits are quantitative traits whose inheritance is governed by many genes, and whose expression is subject to environmental variation. Furthermore, negative correlations between yield and protein, and protein and oil make it even more difficult to select for these traits. Molecular breeding tools such as quantitative trait loci (QTL) can provide breeders with a more direct method of selection for traits at the molecular level. QTL can however be misleading as they are subject to type I and type II errors. QTL validation studies are essential to marker assisted programs as they negate the need for individual breeders to validate every QTL of interest. The purpose of this study was to validate previously reported seed quality and agronomic trait QTL in an independent population derived from an Essex x Williams 82 cross. We were able to validate QTL for all traits and detected novel QTL that may be useful to breeders.
Book Synopsis Genetic Variance Components and Quantitative Trait Loci Mapping for Soybean (Glycine Max L.) Seed Size by : Jongil Chung
Download or read book Genetic Variance Components and Quantitative Trait Loci Mapping for Soybean (Glycine Max L.) Seed Size written by Jongil Chung and published by . This book was released on 1996 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Molecular Marker Assisted Development and Stability Analysis of Low Phytate, High Inorganic Phosphorus Soybean [Glycine Max (L.) Merrill] by : Suzannah Joy Wiggins
Download or read book Molecular Marker Assisted Development and Stability Analysis of Low Phytate, High Inorganic Phosphorus Soybean [Glycine Max (L.) Merrill] written by Suzannah Joy Wiggins and published by . This book was released on 2012 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phytate [myo-inositol 1,2,3,4,5,6-hexakisphosphate] is a mixed cation salt of phytic acid which binds to other minerals, in many field crops including soybean [Glycine max (L.) Merr.]. Livestock with monogastric digestive systems lack the ability to break bonds between phytate and these minerals, causing phytate phosphorus (P) to be excreted in the waste and contributing to possible P and other mineral deficiencies. Discovery of single sequence repeat (SSR) and single nucleotide polymorphism (SNP) markers associated with low phytate QTL (cqPha-001 and cqPha-002) have aided in development of low phytate soybean lines. The objectives of this study were to 1) utilize SSRs and SNPs to identify the heterozygous and recessive allelic forms of low phytate loci during trait introgression into a high yielding commercial cultivar; 2) evaluate differences in genotypic values for agronomic and seed quality traits, and seed inorganic phosphorous (Pi) concentration between the recurrent parent 5601T and BC4, BC3, and BC2 derived progeny lines; and 3) evaluate those traits and environmental stability of inorganic P in the recurrent parent 5601T and the BC4 derived line TN09-239 across ten southern U.S. environments. Successful trait introgression was confirmed in the BC4 line TN09-239 via SNP assay. In comparison to the recurrent parent 5601T (222.9 ng m̳L−1) the BC4 derived line TN09- 239 (1675.9 ng m̳L−1) contained significantly higher Pi (P0.0001), which is inversely proportionate to phytate concentration, was taller (87.4 cm for 5601T and 119.7 cm for TN09- 239) (P
Book Synopsis Selection for Soybean Seed Yield with Molecular Markers by : Joseph Richard Byrum
Download or read book Selection for Soybean Seed Yield with Molecular Markers written by Joseph Richard Byrum and published by . This book was released on 1999 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular markers may facilitate the identification of and selection for quantitative trait loci (QTL) that control economically important traits. The objective of the study was to compare the efficiency of selection among soybean [Glycine max (L.) Merrill] lines for seed yield based on single replication progeny-row-yield tests (PRYT), molecular marker loci selected by pedigree analysis, and a combination of PRYT and molecular marker data. A total of 380 random F3-derived lines from three populations were evaluated in the PRYTat Ames, IA, in 1997 and were genotyped for simple sequence repeats (SSRS) that had been chosen by pedigree analysis for their association with seed yield. The lines were divided into 13 tests for evaluation in 1998 at five or six Midwest locations in replicated yield tests. The average phenotypic correlation coefficient between the mean yield of lines in the 1998 test and their PRYT yield was 0.24, molecular marker score was 0.19, and index value was 0.35. The index was superior on the average to the PRYT or molecular marker score individually for selection of the highest yielding lines in the 1998 tests. The selection differential based on the index was superior on the average to the PRYT or molecular marker score individually in two of the three populations. Marker-QTL associations established by pedigree analysis should be useful alone or in combination with PRYT for selection among lines for seed yield in a cultivar development program.
Book Synopsis Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). by : Edward MacDonell
Download or read book Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). written by Edward MacDonell and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Soybean (Glycine max [L.] Merr.) is the world's largest oilseed crop and also produces soyasaponins, which have nutraceutical properties. Soyasaponin I is the major soyasaponin derived from soybean seeds. Seed soyasaponin I concentration is a quantitative trait, which can be improved through marker-assisted selection. A population of 186 F4-derived recombinant inbred lines from the cross of 'OAC Wallace' and 'OAC Glencoe' and a trial of 40 soybean cultivars were used in this study. Six QTL associated with soyasaponin I were identified through simple and composite interval mapping. Genotype, environment, and genotype-by-environment interactions for soyasaponin I were significant in the cultivar trial and genotype was significant in the mapping population. These results contribute to a better understanding of the genetics of soyasaponin I, the influence of environment and genotype-by-environment interactions on the trait, and provide molecular markers to facilitate marker-assisted selection for soybean cultivars with improved soyasaponin I profiles.
Book Synopsis Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials by : Jason D. Neus
Download or read book Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials written by Jason D. Neus and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative trait loci (QTL) controlling seed yield in soybean [Glycine max (L.) Merr.] have been difficult to confirm among populations. Our objective was to determine whether a method of marker-assisted selection (MAS) for seed yield in elite lines would be applicable to selection in soybean plant row yield trials (PRYTs). Lines from two populations with elite parents were grown in PRYTs in 2008 and tested with markers to identify quantitative trait loci (QTL) associated with seed yield. The first population was tested with 53 single nucleotide polymorphism (SNP) markers and the second population with 26 SNP markers. F-tests were conducted to determine which loci were significantly associated with seed yield in the PRYTs. Lines from each population were then selected from the PRYTs to form five groups from each population: high and low seed yield phenotypes, high and low seed yield genotypes, and random. The five groups from each population were planted at eight diverse locations in 2009. In one population, the mean of the genotypic high group was not statistically different than the phenotypic high group. In the other population, the mean of the genotypic high group was within 90 kg/ha-1 of the mean of the phenotypic high group and was superior to the random group for seed yield. Even with the limited marker coverage, the genotypic selection method used in this study successfully identified lines in PRYTs that would not have been selected due to poor seed yield performance in 2008.
Book Synopsis Mineral Evaluation and Quantitative Trait Loci Mapping in a Soybean (Glycine Max (L.) Merr.) Population Developed for Iron Deficiency Chlorosis Resistance by : Keith Edward King
Download or read book Mineral Evaluation and Quantitative Trait Loci Mapping in a Soybean (Glycine Max (L.) Merr.) Population Developed for Iron Deficiency Chlorosis Resistance written by Keith Edward King and published by . This book was released on 2011 with total page 98 pages. Available in PDF, EPUB and Kindle. Book excerpt:
![Download Validation of Quantitative Trait Loci Conditioning Seed Phytate and Protein Concentration in Soybean [Glycine Max (L.) Merrill] PDF Online Free](https://books.google.com/books/content/images/frontcover/MMBcOAAACAAJ?fife=w200-h370)
![Download Genetic Mapping of Quantitative Trait Loci Conditioning Protein Concentration and Quality, and Other Seed Characteristics in Soybean [Glycine Max (L.) Merrill] PDF Online Free](https://books.google.com/books/content/images/frontcover/1NMQkAEACAAJ?fife=w200-h370)
![Download Identification and Localization of Quantitative Trait Loci (QTL) and Genes Associated with Oil Concentration in Soybean [Glycine Max (L.) Merrill] Seed PDF Online Free](https://books.google.com/books/content/images/frontcover/kAcYuAEACAAJ?fife=w200-h370)
![Download Quantitative Trait Loci Associated with Protein, Oil and Carbohydrates in Soybean [Glycine Max (L.) Merr.] Seeds PDF Online Free](https://books.google.com/books/content/images/frontcover/ZiYq0AEACAAJ?fife=w200-h370)
![Download Molecular Marker Assisted Development and Stability Analysis of Low Phytate, High Inorganic Phosphorus Soybean [Glycine Max (L.) Merrill] PDF Online Free](https://books.google.com/books/content/images/frontcover/TnSNAQAACAAJ?fife=w200-h370)
![Download Identification of Quantitative Trait Loci (QTL) Associated with Seed Soyasaponin I Concentration in Soybean (Glycine Max [L] Merril.). PDF Online Free](https://books.google.com/books/content/images/frontcover/a5x1zgEACAAJ?fife=w200-h370)
![Download Marker Assisted Selection for Seed Yield in Soybean [Glycine Max (L.) Merr.] Plant Row Yield Trials PDF Online Free](https://books.google.com/books/content/images/frontcover/NctQMwEACAAJ?fife=w200-h370)
