Effects of divergent selection for seed protein content in high-protein vs. food-grade populations of early maturity soybean

2013 ◽  
Vol 133 (1) ◽  
pp. 74-79 ◽  
Author(s):  
Takashi Sato ◽  
Melanie Van Schoote ◽  
Helmut Wagentristl ◽  
Johann Vollmann
Keyword(s):  
Protein Content ◽  
Seed Protein ◽  
Divergent Selection ◽  
High Protein ◽  
Seed Protein Content ◽  
Early Maturity ◽  
Food Grade ◽  
Selection For

Genomic Selection for Yield and Seed Protein Content in Soybean: A Study of Breeding Program Data and Assessment of Prediction Accuracy

Crop Science ◽  
2017 ◽  
Vol 57 (3) ◽  
pp. 1325-1337 ◽  
Author(s):  
Alexandra Duhnen ◽  
Amandine Gras ◽  
Simon Teyssèdre ◽  
Michel Romestant ◽  
Bruno Claustres ◽  
...  
Keyword(s):  
Protein Content ◽  
Genomic Selection ◽  
Prediction Accuracy ◽  
Seed Protein ◽  
Breeding Program ◽  
Seed Protein Content ◽  
Selection For ◽  
Program Data

EARLY GENERATION SELECTION FOR PROTEIN IN Glycine max × G. soja CROSSES

1981 ◽  
Vol 61 (4) ◽  
pp. 901-908 ◽  
Author(s):  
L. R. ERICKSON ◽  
W. D. BEVERSDORF ◽  
H. D. VOLDENG
Keyword(s):  
Protein Content ◽  
Seed Protein ◽  
Glycine Soja ◽  
Mass Selection ◽  
Seed Protein Content ◽  
Family Selection ◽  
Early Generation ◽  
Early Generation Selection ◽  
The Mean ◽  
Selection For

Early generation selection for high seed-protein content would be desirable in breeding programs attempting to combine high yield and high protein content in soybeans (Gycine max (L.) Merr.). The heritability of seed-protein content in the F2 and F3 was measured in four crosses and mass and family selection for protein were compared in the F3 of these crosses. Glycine soja Sieb. and Zucc., a putative wild ancestor of the soybean, was the male parent in all crosses and selection intensity was at 10%. The heritability of protein in the F2, calculated by parent-offspring regression, was 27%. The broad-sense heritability of protein in F3 families grown over two locations in one season was 78%. Mean protein content for every selected population was greater (P ≤ 0.01) than the mean for the non-selected control population (45.3%). Mean protein contents of the F4 populations resulting from these selection methods were: mass selection in the F2 and F3, 48.0%; mass selection in the F3 following one generation of single seed descent, 48.8%; selection among F3 families, 47.6%; selection among and within F3 families, 47.5%. Either method of mass selection was superior to either method of family selection at the 0.01 level. Although early selection (mass or family) raised the mean protein content of a population, segregation continued to give rise to low-protein genotypes thereby requiring further selection.

scholarly journals Genetic Analysis of High Protein Content in ‘AC Proteus’ Related Soybean Populations Using SSR, SNP, DArT and DArTseq Markers

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Bahram Samanfar ◽  
Elroy R. Cober ◽  
Martin Charette ◽  
Le Hoa Tan ◽  
Wubishet A. Bekele ◽  
...  
Keyword(s):  
Protein Content ◽  
Qtl Analysis ◽  
Seed Protein ◽  
High Protein ◽  
Specific Marker ◽  
Seed Protein Content ◽  
Test Statistic ◽  
High Protein Content ◽  
Genomic Regions ◽  
Further Development

AbstractKey message: Several AC Proteus derived genomic regions (QTLs, SNPs) have been identified which may prove useful for further development of high yielding high protein cultivars and allele-specific marker developments. High seed protein content is a trait which is typically difficult to introgress into soybean without an accompanying reduction in seed yield. In a previous study, ‘AC Proteus’ was used as a high protein source and was found to produce populations that did not exhibit the typical association between high protein and low yield. Five high x low protein RIL populations and a high x high protein RIL population were evaluated by either quantitative trait locus (QTL) analysis or bulk segregant analyses (BSA) following phenotyping in the field. QTL analysis in one population using SSR, DArT and DArTseq markers found two QTLs for seed protein content on chromosomes 15 and 20. The BSA analyses suggested multiple genomic regions are involved with high protein content across the five populations, including the two previously mentioned QTLs. In an alternative approach to identify high protein genes, pedigree analysis identified SNPs for which the allele associated with high protein was retained in seven high protein descendants of AC Proteus on chromosomes 2, 17 and 18. Aside from the two identified QTLs (five genomic regions in total considering the two with highly elevated test statistic, but below the statistical threshold and the one with epistatic interactions) which were some distance from Meta-QTL regions and which were also supported by our BSA analysis within five populations. These high protein regions may prove useful for further development of high yielding high protein cultivars.

scholarly journals Genetic mapping high protein content QTL from soybean ‘Nanxiadou 25’ and candidate gene analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jia Wang ◽  
Lin Mao ◽  
Zhaoqiong Zeng ◽  
Xiaobo Yu ◽  
Jianqiu Lian ◽  
...  
Keyword(s):  
Qtl Mapping ◽  
Protein Content ◽  
Candidate Genes ◽  
Seed Protein ◽  
Recombinant Inbred Lines ◽  
High Protein ◽  
Quality Trait ◽  
Seed Protein Content ◽  
High Protein Content ◽  
Major Qtl

Abstract Background Soybean is a globally important legume crop that provides a primary source of high-quality vegetable protein and oil. Seed protein content (SPC) is a valuable quality trait controlled by multiple genes in soybean. Results In this study, we performed quantitative trait loci (QTL) mapping, QTL-seq, and RNA sequencing (RNA-seq) to reveal the genes controlling protein content in the soybean by using the high protein content variety Nanxiadou 25. A total of 50 QTL for SPC distributed on 14 chromosomes except chromosomes 4, 12, 14, 17, 18, and 19 were identified by QTL mapping using 178 recombinant inbred lines (RILs). Among these QTL, the major QTL qSPC_20–1 and qSPC_20–2 on chromosome 20 were repeatedly detected across six tested environments, corresponding to the location of the major QTL detected using whole-genome sequencing-based QTL-seq. 329 candidate DEGs were obtained within the QTL region of qSPC_20–1 and qSPC_20–2 via gene expression profile analysis. Nine of which were associated with SPC, potentially representing candidate genes. Clone sequencing results showed that different single nucleotide polymorphisms (SNPs) and indels between high and low protein genotypes in Glyma.20G088000 and Glyma.16G066600 may be the cause of changes in this trait. Conclusions These results provide the basis for research on candidate genes and marker-assisted selection (MAS) in soybean breeding for seed protein content.

EFFECT OF SELECTION FOR PROTEIN ON LENGTHS OF GROWTH STAGES IN Glycine max × Glycine soja CROSSES

1982 ◽  
Vol 62 (2) ◽  
pp. 293-298 ◽  
Author(s):  
L. R. ERICKSON ◽  
W. D. BEVERSDORF
Keyword(s):  
Glycine Max ◽  
Protein Content ◽  
Growth Stage ◽  
Seed Protein ◽  
Glycine Soja ◽  
Growth Stages ◽  
Seed Protein Content ◽  
Glycine Max L ◽  
The Mean ◽  
Selection For

The effect of selection for high seed protein content on plant development in soybeans (Glycine max (L.) Merr.) was investigated by comparing the lengths of growth stages of four selected populations with those of a nonselected control. Each population, grown at two locations in one season, was a composite of four crosses between G. max and its putative wild ancestor, Glycine soja Sieb. and Zucc. The growth stages were planting to emergence, emergence to flowering and flowering to maturity. The length of each growth stage was measured in soybean development units (SDU) and in days. On average, populations selected for protein alone required more SDUs from planting to emergence and from emergence to flowering and fewer SDUs from flowering to maturity than did the control. The mean temperature in the stage from flowering to maturity was negatively correlated with protein content in all populations. The correlations ranged from −0.22* to −0.34**.

scholarly journals Direct and indirect effects of morphophysiological traits on kernel protein content of confectionary sunflower

Genetika ◽  
2017 ◽  
Vol 49 (3) ◽  
pp. 1015-1021
Author(s):  
Nada Hladni ◽  
Milan Jockovic ◽  
Sinisa Jocic ◽  
Vladimir Miklic ◽  
Dragana Miladinovic ◽  
...  
Keyword(s):  
Protein Content ◽  
Seed Weight ◽  
Seed Protein ◽  
High Protein ◽  
Protein Yield ◽  
Path Coefficient ◽  
Seed Protein Content ◽  
Path Coefficient Analysis ◽  
Negative Effect ◽  
Kernel Protein

The most important criterion for introducing new confectionary sunflower hybrids into production is high protein yield. In the breeding process it is important to identify traits which could be used as selection criteria for increased kernel protein content. Increase of kernel protein content results in increased protein yield. This research was conducted during three vegetation seasons on 22 NS high-protein two-line confectionary sunflower hybrids produced within the breeding program at IFVCNS, Novi Sad, Serbia. Strong and very strong correlations were found among the largest number of examined traits. Based on the analysis of simple correlation coefficients, strong negative correlation was determined between kernel protein content and kernel ratio (-0.516*). A weak negative interdependence was determined between head diameter, seed protein content, and kernel protein content. Positive but weak correlation was determined between kernel protein content and thickness of seed, length of seed, width of seed, and 1000 seed weight. Path coefficient analysis for kernel protein content at phenotypic level showed that the thickness of seed had a strong positive direct effect on kernel protein content (DE=382*). Kernel ratio and width of seed had a very strong direct negative effect on kernel protein content (DE=-0.990**; DE=0.600**). A weak direct positive effect of head diameter, seed protein content and length of seed was established, whereas 1000 seed weight had a weak direct negative effect on kernel protein content. Path coefficient analysis indicates showed that the thickness of seed has high great influence on kernel protein content, and an important selection criterion for breeding for high protein yield.

scholarly journals Modeling the Competitive Effect of Euphorbia dracunculoides and Astragalus sp. in Zero Input Rainfed Chickpea

2018 ◽  
Vol 36 (0) ◽  
Author(s):  
R.M. IKRAM ◽  
A. TANVEER ◽  
R. MAQBOOL ◽  
M.A. NADEEN
Keyword(s):  
Protein Content ◽  
Critical Period ◽  
Field Experiments ◽  
Seed Protein ◽  
Yield Loss ◽  
Seed Protein Content ◽  
Yield Losses ◽  
Competition Period ◽  
Crop Competition ◽  
Weed Removal

ABSTRACT: Brown chickpea (Cicer arietinum L.) is one of the two chickpea types grown in Pakistan and other countries. The critical period for weed removal in a rainfed chickpea system is an important consideration in devising weed management strategies. Field experiments were conducted in the winter season of 2011 and 2012 to determine the extent of yield loss with different periods of weed crop competition. Seven weed crop competition periods (0, 45, 60, 75, 90, 105 and 160 days after sowing - DAS) were used to identify the critical period for weed removal in rainfed chickpea. Experimental plots were naturally infested with Euphorbia dracunculoides and Astragalus sp. in both years. Individual, composite density and dry weights of E. dracunculoides and Astragalussp. increased significantly with an increase in the competition period. However, yield and yield-contributing traits of chickpea significantly decreased with an increase in the competition period. Chickpea seed yield loss was 11-53% in different weed crop competition periods. Euphorbia dracunculoides and Astragalus sp. removed 39.9 and 36.9 kg ha-1 of N, 9.61 and 7.27 kg ha-1 of P and 38.3 and 36.9 kg ha-1 of K, respectively. Season long weed competition (160 days after sowing) resulted in 19.5% seed protein content compared with 24.5% seed protein content in weed-free chickpea. A Logistic equation was fitted to yield data in response to increasing periods of weed crop competition. The critical timing of weed removal at 5 and 10% acceptable yield losses were 26 and 39 DAS, respectively. The observed critical period suggests that in rainfed chickpea, a carefully timed weed removal could prevent grain yield losses.

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