Clonal variation and correlation of seed characters in Hevea brasiliensis Muell. Arg.

Omokhafe, K.O.; Alika, J. E.

doi:10.1016/j.indcrop.2003.09.004

Cited by 12 publications

(7 citation statements)

References 4 publications

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“…Moreover, knowledge of specific QTL by environment interactions can guide the search of varieties adapted to particular environments. The QTLs with more significant additive effects are often considered more stable [41,42]. For example, the qSW-1-1 ZY and qST-18-2 ZY (additive effect: 0.14) identified in both CIM and MCIM methods; though, qSLT-6-5 ZY (additive effect: 0.001) was detected only in the MCIM method (ZY only) ( Table 3).…”

Section: Discussionmentioning

confidence: 99%

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High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)

Hina

Cao

Song

et al. 2020

IJMS

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Seed size and shape are important traits determining yield and quality in soybean. However, the genetic mechanism and genes underlying these traits remain largely unexplored. In this regard, this study used two related recombinant inbred line (RIL) populations (ZY and K3N) evaluated in multiple environments to identify main and epistatic-effect quantitative trait loci (QTLs) for six seed size and shape traits in soybean. A total of 88 and 48 QTLs were detected through composite interval mapping (CIM) and mixed-model-based composite interval mapping (MCIM), respectively, and 15 QTLs were common among both methods; two of them were major (R2 > 10%) and novel QTLs (viz., qSW-1-1ZN and qSLT-20-1K3N). Additionally, 51 and 27 QTLs were identified for the first time through CIM and MCIM methods, respectively. Colocalization of QTLs occurred in four major QTL hotspots/clusters, viz., “QTL Hotspot A”, “QTL Hotspot B”, “QTL Hotspot C”, and “QTL Hotspot D” located on Chr06, Chr10, Chr13, and Chr20, respectively. Based on gene annotation, gene ontology (GO) enrichment, and RNA-Seq analysis, 23 genes within four “QTL Hotspots” were predicted as possible candidates, regulating soybean seed size and shape. Network analyses demonstrated that 15 QTLs showed significant additive x environment (AE) effects, and 16 pairs of QTLs showing epistatic effects were also detected. However, except three epistatic QTLs, viz., qSL-13-3ZY, qSL-13-4ZY, and qSW-13-4ZY, all the remaining QTLs depicted no main effects. Hence, the present study is a detailed and comprehensive investigation uncovering the genetic basis of seed size and shape in soybeans. The use of a high-density map identified new genomic regions providing valuable information and could be the primary target for further fine mapping, candidate gene identification, and marker-assisted breeding (MAB).

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Section: Discussionmentioning

confidence: 99%

“…The SL, SW, and ST were measured in millimeters (mm) using the vernier caliper instrument, according to Kaushik et al [39]. However, SLW, SLT, and SWT were estimated from the individual values of the SL, SW, and ST, respectively, by following Omokhafe and Alika [41].…”

Section: Phenotypic Evaluation and Statistical Analysismentioning

confidence: 99%

High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)

Hina

Cao

Song

et al. 2020

IJMS

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“…The average seed size was then calculated. The ratio between the seed length and diameter was estimated from the individual values of the length and diameter of the seeds as described by Omokhafe and Alika (2004). The 100 seed weights of the accessions were determined by randomly selecting, counting and weighing of seeds that have been previously cleaned using Soehnle professional weighing balance model 9230.…”

Section: Methodsmentioning

confidence: 99%

Physical, Proximate and Anti-nutritional Composition of African yam bean (Sphenostylis stenocarpa) Seeds Varieties

Ajibola¹,

Olapade²

2016

JFR

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The physical, proximate and anti-nutritional properties of five accessions of African yam bean (AYB) seeds (TSs 57, TSs 61, TSs 93, TSs 94 and TSs 116) obtained from Genetic Resource Centre (GRC) of International Institute of Tropical Agriculture (IITA) were studied and compared. This was aimed at unraveling the nutritional importance of this crop to enhance its production and utilisation. The physical properties investigated include seed size, length to diameter ratio, seed weight, percentage of seed coat, bulk density and loose density. Proximate composition and anti-nutritional factors such as saponin, oxalate, phytate, alkaloids, tannin, trypsin inhibitor and hydrogen cyanide of these accessions processed flours were also examined. The results of physical properties indicated significant differences (P<0.05) among the accessions except accessions TSs 93 and TSs 94 that did not differ in their lengths and diameters and also accessions TSs 61 and TSs 116 did not differ in their thicknesses. Results of proximate analysis revealed that crude fibre, fat and carbohydrate contents of the accessions were not significantly different from one another at (P<0.05) except TSs 94 that differed in its carbohydrate and TSs 116 also differed in its crude fibre from others. Meanwhile, in terms of anti-nutritional factors, there existed no significant difference in saponin contents but there were significant differences in oxalate, phytate, alkaloids, tannin, trypsin inhibitor and hydrogen cyanide among the accessions tested.

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“…Beans within each class were cleaned with sawdust to remove the mucilaginous pulp. Twenty beans were sampled for each of the three positions per genotype and metric measurements on length, width and thickness were taken on the cleaned beans using the venier caliper following Omokhafe and Alika (2004) and Kaushik et al (2007). Individual mass of the sampled beans for the three positions of each genotypes were also measured and recorded.…”

Section: Methodsmentioning

confidence: 99%

Genotype and within-pod bean position microenvironment effect on seed choice for raising cocoa (Theobroma cacao L.) seedlings

Adewale

Nduka

2020

AAS

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<p>The probable role of within-pod microenvironment on seed sizes, seedling vigour and biomass yield of four cocoa genotypes was investigated for two years. The respective main, sub and sub-sub plots in the split-split plot experimental design were years, genotypes and within-pod bean positions. Data were taken on cocoa bean length, width and thickness after each pod was opened. Four weekly periodic data were obtained for plant height (PH), stem girth (SG) and number of leaves (NOL); root and shoot biomass yield were also recorded. Analysis of variance revealed significant (p ≤ 0.05) bean position, genotypes, years and some interaction on the studied traits. Means of the levels of the three factors differed significantly (p ≤ 0.05). Proximal, middle and distal positions were distinct within-pod microenvironments. The pod middle cavity housed the longest, widest and heaviest beans. Trend analysis of the growing sequences of NOL, PH and SG by the four genotypes differed with bean locations. For bean length, GGE biplot respectively identified CRIN Tc1, CRIN Tc2 and CRIN Tc3 as the best genotype for middle, proximal and the distal positions. The intra-locular space within the pod enhanced differential seed development and maturation; this was evident in the seedling vigour.</p>

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Clonal variation and correlation of seed characters in Hevea brasiliensis Muell. Arg.

Cited by 12 publications

References 4 publications

High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)

High-Resolution Mapping in Two RIL Populations Refines Major “QTL Hotspot” Regions for Seed Size and Shape in Soybean (Glycine max L.)

Physical, Proximate and Anti-nutritional Composition of African yam bean (Sphenostylis stenocarpa) Seeds Varieties

Genotype and within-pod bean position microenvironment effect on seed choice for raising cocoa (Theobroma cacao L.) seedlings

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