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

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.

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

Plant Production Science ◽

10.1080/1343943x.2019.1677161 ◽

2019 ◽

Vol 23 (1) ◽

pp. 103-113 ◽

Cited By ~ 3

Author(s):

Kohtaro Iseki ◽

Olajumoke Olaleye ◽

Haruki Ishikawa

Keyword(s):

Protein Content ◽

Seed Weight ◽

Seed Protein ◽

Seed Protein Content ◽

Plant Variation

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

Acta Agronomica Hungarica ◽

10.1556/aagr.59.2011.4.5 ◽

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.

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Genome-Wide Scans for Delineation of Candidate Genes Regulating Seed-Protein Content in Chickpea

Frontiers in Plant Science ◽

10.3389/fpls.2016.00302 ◽

2016 ◽

Vol 7 ◽

Cited By ~ 25

Author(s):

Hari D. Upadhyaya ◽

Deepak Bajaj ◽

Laxmi Narnoliya ◽

Shouvik Das ◽

Vinod Kumar ◽

...

Keyword(s):

Protein Content ◽

Candidate Genes ◽

Seed Protein ◽

Seed Protein Content ◽

Genome Wide

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

Canadian Journal of Plant Science ◽

10.4141/cjps77-136 ◽

1977 ◽

Vol 57 (3) ◽

pp. 951-953 ◽

Cited By ~ 4

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.

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

BMC Plant Biology ◽

10.1186/s12870-021-03176-2 ◽

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

Genetika ◽

10.2298/gensr1703015h ◽

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.

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Shikimate Dehydrogenase ‐1 2 Allozyme as a Marker for High Seed Protein Content in Rice

Crop Science ◽

10.2135/cropsci1990.0011183x003000040036x ◽

1990 ◽

Vol 30 (4) ◽

pp. 937-940 ◽

Cited By ~ 5

Author(s):

V. V. Shenoy ◽

D. V. Seshu ◽

J. K. S. Sachan

Keyword(s):

Protein Content ◽

Seed Protein ◽

Seed Protein Content ◽

Shikimate Dehydrogenase

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

Planta Daninha ◽

10.1590/s0100-83582018360100021 ◽

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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