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 Correlation and path coefficient analysis for protein yield in confectionary sunflower (Helianthus annuus L.)

Genetika ◽  
2015 ◽  
Vol 47 (3) ◽  
pp. 811-818 ◽  
Author(s):  
Nada Hladni ◽  
Vladimir Miklic ◽  
Anto Mijic ◽  
Sinisa Jocic ◽  
Dragana Miladinovic
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Oil Content ◽  
Seed Oil ◽  
Protein Yield ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Seed Oil Content ◽  
Kernel Oil ◽  
Kernel Protein

The most important criteria for introducing new confectionary hybrids into the production is high protein yield. Path coefficient analysis was used to obtain information on direct and indirect effects of studied traits (seed oil content, kernel oil content, seed yield, kernel protein content, mass of 1000 seeds, kernel ratio and hull ratio) on protein yield. The research was conducted during three vegetation seasons, on 22 experimental confectionary sunflower hybrids created in the breeding program at the Institute of Field and Vegetable Crops. Strong and very strong correlations were found among the largest number of examined traits. A weak negative interdependence was determined between kernel oil content, kernel protein content, mass of 1000 seeds, hull ratio, and protein yield using the analysis of simple correlation coefficients. Positive but weak correlation was determined between protein yield and seed oil content, and kernel ratio. Very strong positive correlation was determined between protein yield and seed yield (0.468**). The seed oil content had a very strong direct negative effect on protein yield (DE=-0.734**). The mass of 1000 seeds had a weak negative direct effect on protein yield. Kernel protein content and kernel oil content demonstrated a weak direct positive effect on protein yield. Path coefficient analysis of protein yield showed a very strong positive direct effect of kernel ratio (DE=1.340**), seed yield (DE=0.657**) and hull ratio (DE=0.992*). These findings confirm the effect of seed yield, kernel ratio, and hull ratio on protein yield, and their importance as the selection criteria in confectionary sunflower breeding.

scholarly journals Intra-plant variation in seed weight and seed protein content of cowpea

2019 ◽  
Vol 23 (1) ◽  
pp. 103-113 ◽  
Author(s):  
Kohtaro Iseki ◽  
Olajumoke Olaleye ◽  
Haruki Ishikawa
Keyword(s):  
Protein Content ◽  
Seed Weight ◽  
Seed Protein ◽  
Seed Protein Content ◽  
Plant Variation

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

Agronomic performance of seven pea (Pisum sativum) genotypes with five sowing dates in sandy soil

2011 ◽  
Vol 59 (4) ◽  
pp. 337-347
Author(s):  
H. Hanaa ◽  
E. Ali
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Seed Weight ◽  
Seed Protein ◽  
The Other ◽  
Agronomic Performance ◽  
Seed Protein Content ◽  
Sowing Dates ◽  
100 Seed Weight ◽  
Number Of Branches

A field experiment was conducted at the Agriculture Faculty Farm of Sebha University during the 2007/2008 and 2008/2009 winter seasons to study the agronomic performance of seven pea genotypes with different sowing dates in sandy soil. The experiment was laid out in a randomized complete block design (RCBD) using a split-plot arrangement with three replicates. The five sowing dates (30 October, 15 November, 30 November, 15 December and 30 December) were assigned to the main plots, while the seven pea genotypes (Ambassador, Pollon, MG130256, G22765-2c, 89-P-109-11, No. 252, Victory Freezer and Master B) were allocated to the sub-plots. The sowing dates had a significant effect on all the studied traits except seed protein content in both seasons. Early sowing (15 November) was better than the other sowing dates for all the traits except 100-seed weight. There were significant differences between the pea genotypes for all the traits in the two growing seasons. The Victory Freezer genotype surpassed the other genotypes for all traits except number of branches plant-1 in the second season, 100-seed weight and seed protein content. The highest values for number of branches plant−1 in the second season and for seed protein content were obtained for the G22765-2c genotype, while the maximum values of 100-seed weight were recorded for the MG130256 genotype. A significant interaction between sowing dates and pea genotypes was detected for the length of the period from emergence to initial flowering, number of pods plant−1, seed yield plant−1 and seed yield ha-1 in both seasons. The longest period from emergence to initial flowering was obtained for the Victory Freezer pea variety sown on 30 November, while the highest values of pods plant−1, seed yield plant−1 and seed yield ha−1 were gained by sowing the Victory Freezer pea genotype on 15 November.

scholarly journals Interdependence of yield and yield components of confectionary sunflower hybrids

Genetika ◽  
2011 ◽  
Vol 43 (3) ◽  
pp. 583-594 ◽  
Author(s):  
Nada Hladni ◽  
Sinisa Jocic ◽  
Vladimir Miklic ◽  
Dejana Saftic-Pankovic ◽  
Marija Kraljevic-Balalic
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Seed Protein ◽  
Protein Yield ◽  
Hybrid Breeding ◽  
Strong Positive Correlation ◽  
Seed Protein Content ◽  
Positive Correlation ◽  
Kernel Content ◽  
Seed Yields

The two most important criteria for introducing new confectionary hybrids into production are high seed and protein yield. That is why it is important to find the traits that are measurable, and that at the same time show a strong correlation with seed and protein yield, so that they can be used as a criteria for confectionary hybrid breeding. Results achieved during 2008 at the locations Rimski Sancevi (Region of Vojvodina) and Kula (Central Serbia) show that the new confectionary hybrids are expressing higher seed yields in comparison to standards (Vranac and Cepko) though with a lower seed oil content. A very strong positive correlation was determined between seed yield and seed protein content, kernel content and mass of 1000 seeds. A very strong positive correlation was determined between seed protein content, seed yield and mass of 1000 seeds, with protein yield. This indicates that seed yield, seed protein content and mass of 1000 seeds have a high influence on protein yield. The degree of interdependence between different traits is a sign of direction which is supposed to facilitate better planning of sunflower breeding program.

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.

SEED COAT THICKNESS AND SEED CRUDE FIBRE IN FABA BEANS (VICIA FABA)

1977 ◽  
Vol 57 (3) ◽  
pp. 951-953 ◽  
Author(s):  
G. G. ROWLAND
Keyword(s):  
Regression Analysis ◽  
Protein Content ◽  
Vicia Faba ◽  
Seed Coat ◽  
Seed Weight ◽  
Seed Protein ◽  
Seed Protein Content ◽  
Crude Fibre ◽  
Vicia Faba L ◽  
Faba Beans

There were significant differences among 49 cultivars of faba beans (Vicia faba L.) for percent seed crude fibre, seed coat thickness, 1,000-seed weight and seed protein content; 1,000-seed weight was negatively correlated with seed crude fibre (r = −0.52) and positively correlated with seed coat thickness (r = 0.66). Step-wise multiple regression analysis showed that seed coat thickness could provide a partial prediction of seed crude fibre.

scholarly journals Meta-analysis of QTL reveals the genetic control of yield-related traits and seed protein content in pea

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Anthony Klein ◽  
Hervé Houtin ◽  
Céline Rond-Coissieux ◽  
Myriam Naudet-Huart ◽  
Michael Touratier ◽  
...  
Keyword(s):  
Protein Content ◽  
Candidate Genes ◽  
Seed Weight ◽  
Seed Protein ◽  
Meta Analysis ◽  
Snp Array ◽  
Grain Legume ◽  
Potential Candidate ◽  
Seed Protein Content ◽  
Breeding Target

Abstract Pea is one of the most important grain legume crops in temperate regions worldwide. Improving pea yield is a critical breeding target. Nine inter-connected pea recombinant inbred line populations were evaluated in nine environments at INRAE Dijon, France and genotyped using the GenoPea 13.2 K SNP array. Each population has been evaluated in two to four environments. A multi-population Quantitative Trait Loci (QTL) analysis for seed weight per plant (SW), seed number per plant (SN), thousand seed weight (TSW) and seed protein content (SPC) was done. QTL were then projected on the multi-population consensus map and a meta-analysis of QTL was performed. This analysis identified 17 QTL for SW, 16 QTL for SN, 35 QTL for TSW and 21 QTL for SPC, shedding light on trait relationships. These QTL were resolved into 27 metaQTL. Some of them showed small confidence intervals of less than 2 cM encompassing less than one hundred underlying candidate genes. The precision of metaQTL and the potential candidate genes reported in this study enable their use for marker-assisted selection and provide a foundation towards map-based identification of causal polymorphisms.

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.

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