scholarly journals Impact of epistasis and QTL×environment interaction on the accumulation of seed mass of soybean (Glycine max L. Merr.)

2008 ◽  
Vol 90 (6) ◽  
pp. 481-491 ◽  
Author(s):  
YINGPENG HAN ◽  
WEILI TENG ◽  
DESHENG SUN ◽  
YUPING DU ◽  
LIJUAN QIU ◽  
...  
Keyword(s):  
Seed Development ◽  
Seed Weight ◽  
Developmental Stages ◽  
Environmental Control ◽  
Recombinant Inbred Lines ◽  
Seed Mass ◽  
Environment Interaction ◽  
Glycine Max L ◽  
Trait Locus ◽  
100 Seed Weight

SummaryThe accumulation of seed mass in soybean is affected by both genotype and environment. The aim of the present study was to measure additive, epistatic and quantitative trait locus (QTL)×environment (QE) interaction effects of QTLs on the development of 100-seed weight in a population of 143 F5 derived recombinant inbred lines (RILs) developed from the cross between the soybean cultivars ‘Charleston’ and ‘Dong Nong 594’. Broad-sense heritability of 100-seed weight from 30 days (30D) to 80D stages was 0·58, 0·52, 0·62, 0·60, 0·66 and 0·57, respectively. A total of 17 QTLs with conditional additive (a) effect and/or conditional additive×environment interaction (ae) effect at specific stages were identified in ten linkage groups by conditional mapping. Of them, only 4 QTLs had significant a effect or ae effect at different stages of seed development. Among QTLs with significant a effect, five acted positively and six acted negatively on seed development. A total of 35 epistatic pairwise QTLs of 100-seed weight were identified by conditional mapping at different developmental stages. Five pairs of QTL showed the additive×additive epistatic (aa) effect and 16 QTLs showed the aa×environment interaction (aae) effect at the different developmental stages. QTLs with aa effect as well with their environmental interaction effect appeared to vary at different developmental stages. Overall, the results indicated that 100-seed weight in soybean is under developmental, genetic and environmental control.

scholarly journals Impact of epistasis and QTL×environmental interaction on the mass filling rate during seed development of soybean

2012 ◽  
Vol 94 (2) ◽  
pp. 63-71 ◽  
Author(s):  
ZHENFENG JIANG ◽  
YINGPENG HAN ◽  
WEILI TENG ◽  
YONGGUANG LI ◽  
XUE ZHAO ◽  
...  
Keyword(s):  
Seed Development ◽  
Developmental Stages ◽  
Environmental Control ◽  
Recombinant Inbred Lines ◽  
Soybean Seed ◽  
Environment Interaction ◽  
Filling Rate ◽  
Seed Filling ◽  
Environment Effects ◽  
Initial Stage

SummarySeed filling rate of soybean has been shown to be a dynamic process in different developmental stages affected by both genotype and environment. The objective of the present study was to determine additive, epistatic and quantitative trait loci (QTLs)×environment interaction (QE) effects of the QTL underlying a seed filling rate of soybean. One hundred and forty-three recombinant inbred lines (RILs) derived from the cross of Charleston and Dongnong 594 were used with 2 years of field data (2004 and 2005). Eleven QTLs with significantly unconditional and conditional additive (a) effect and/or additive×environment interaction (ae) effect at different filling stages were identified. Of them six QTLs showed positive a effects and four QTLs had negative a effects on the seed filling rate during seed development. aa and aae effects of 12 pairs of QTLs were identified by unconditional mapping from the initial stage to the final stage. Thirteen pairs of QTLs underlying the seed filling rate with aa and aae effects were identified by conditional mapping. QTLs with aa and aae (additive×additive×environment) effects appeared to vary at different filling stages. Our results demonstrated that the mass filling rate in soybean seed were under genetic and environmental control.

Mapping QTLs for 100-seed weight in an interspecific soybean cross of Williams 82 (Glycine max) and PI 366121 (Glycine soja)

2017 ◽  
Vol 68 (2) ◽  
pp. 148 ◽  
Author(s):  
Krishnanand P. Kulkarni ◽  
Sovetgul Asekova ◽  
Dong-Ho Lee ◽  
Kristin Bilyeu ◽  
Jong Tae Song ◽  
...  
Keyword(s):  
Seed Weight ◽  
Glycine Soja ◽  
Recombinant Inbred Lines ◽  
Molecular Genetic ◽  
Interval Mapping ◽  
Major Influence ◽  
Environment Interaction ◽  
Molecular Genetic Basis ◽  
The Individual ◽  
100 Seed Weight

Seed weight can be an important component for soybean quality and yield. The objective of the present study was to identify quantitative trait loci (QTLs) for 100-seed weight by using 169 recombinant inbred lines (RILs) derived from the cross Williams 82 × PI 366121. The parental lines and RILs were grown for four consecutive years (2012–15) in the field. The seeds were harvested after maturity, dried and used to measure 100-seed weight. Analysis of variance indicated significant differences among the RILs for 100-seed weight. The environment had significant effect on seed-weight expression as indicated by the genotype × environment interaction. QTL analysis employing inclusive composite interval mapping of additive QTLs implemented in QTL IciMapping (Version 4.1) identified nine QTLs (LOD >3) on chromosomes 1, 2, 6, 8, 13, 14, 17 and 20. The individual QTLs explained phenotypic variation in the range 6.1–12.4%. The QTLs were detected in one or two environments, indicating major influence of the growing environment on seed-weight expression. Four QTLs identified in this study, qSW-02_1, qSW-06_1, qSW-13_1 and qSW-14_1, were found to be new QTLs. The findings of the study may be helpful to reveal the molecular genetic basis of the seed-weight trait in soybean.

scholarly journals Genetic Diversity Studies in MAGIC Population of Soybean (Glycine max (L.) Merrill) Based on Mahalanobis D2 Distance

2021 ◽  
pp. 18-25
Author(s):  
Bidush Ranjan Swar ◽  
V. Swarnalatha ◽  
M. Rajendar Reddy ◽  
S. Vanisree
Keyword(s):  
Genetic Diversity ◽  
Seed Weight ◽  
Quantitative Traits ◽  
Genetic Recombination ◽  
Breeding Programs ◽  
Total Genetic Diversity ◽  
Glycine Max L ◽  
Diversity Studies ◽  
100 Seed Weight ◽  
Number Of Branches

Soybean MAGIC lines are highly variable breeding material which utilizes both recent and historic genetic recombination events. Present investigation was carried out to assess the genetic diversity present among 95 soybean MAGIC lines along with six checks for 10 different quantitative traits. All the genotypes were grouped into 16 clusters by performing Tocher’s clustering method using Mahalanobis D2 distance. Cluster I was the largest comprising of 30 genotypes followed by cluster II (23 genotypes), cluster X (15 genotypes) and cluster IX (9 genotypes). The maximum genetic distance (D2) was observed between cluster XI and XV (168.37) followed by cluster III and XV (164.3), cluster X and XV (149.64) as well as between cluster XII and cluster XVI (145.99). The cluster mean for most of the traits were high in cluster I and cluster XVI. Oil content contributed maximum (23.86%) towards total genetic diversity followed by number of pods plant-1 (18.97%), seed yield plant-1 (18.63%), 100 seed weight (11.05%) and number of branches plant-1 (10.16%) traits. The soybean MAGIC lines belong to the cluster XI (6-120) and cluster XV (6-30, 6-31, 6-5) were found to be the most divergent hence can be utilised in the recombination breeding programs to exploit maximum heterosis.

scholarly journals Variability of Phytochemicals by Breeding Year, Usage and Seed Size of Korean Soybean (Glycine max (L.) Merrill) Varieties

Agriculture ◽  
2020 ◽  
Vol 10 (4) ◽  
pp. 100
Author(s):  
Tae-Young Hwang ◽  
Byoung-Deok Park ◽  
Jwakyung Sung ◽  
Hong-Sig Kim
Keyword(s):  
Cluster Analysis ◽  
Seed Weight ◽  
Group Iv ◽  
Group Iii ◽  
Group I ◽  
Glycine Max L ◽  
Main Components ◽  
High Level ◽  
Different Origins ◽  
100 Seed Weight

The interest in phytochemicals from crops has grown in recent years, with soybean, as a functional crop, having great potential for providing a high level of nutrition. Therefore, the aim of this study was to evaluate phytochemicals from Korean soybean varieties, and to provide the basic information necessary for targeted breeding of soybean. The seeds of 172 soybean varieties were collected from various domestic institutes, and their phytochemicals were analyzed and compared based on agronomic characteristics (color, size, usage, etc.) using cluster analysis. We found that the soybean varieties contained relatively higher levels of the following phytochemicals: lutein (3 var., >7.0 μg g−1 seed), tocopherols (26 var., >300 μg g−1 seed), and phytosterols (33 var., >1000 μg g−1 seed). Overall, phytochemical levels were higher in varieties released since 2000 and with small-sized seeds (<12 g, 100-seed weight). The distribution of phytochemicals varied according to the usage (cooking, sauce, sprouts, etc.), even though the highest levels of each phytochemical were mainly observed in sprouts. The cluster analysis using three main components classified the varieties into five groups. Of them, group III showed relatively higher tocopherols, group IV had relatively higher lutein, and group I had relatively higher phytosterols. Jonam and Manpoong (group I) were observed in varieties high in phytochemicals. Overall, some Korean soybean varieties were found to have relatively higher levels of phytochemicals compared to those reported in previous studies of other origins. In conclusion, our findings suggest that some varieties might provide suitable breeding material for target-centered improvement of soybean varieties, and a comparison between different origins is necessary for providing better knowledge for soybean breeding.

scholarly journals A PP2C-1 Allele Underlying a Quantitative Trait Locus Enhances Soybean 100-Seed Weight

2017 ◽  
Vol 10 (5) ◽  
pp. 670-684 ◽  
Author(s):  
Xiang Lu ◽  
Qing Xiong ◽  
Tong Cheng ◽  
Qing-Tian Li ◽  
Xin-Lei Liu ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Seed Weight ◽  
Trait Locus ◽  
100 Seed Weight

Quantitative trait locus analysis of multiple agronomic traits in the model legume Lotus japonicus

Genome ◽  
2007 ◽  
Vol 50 (7) ◽  
pp. 627-637 ◽  
Author(s):  
Takahiro Gondo ◽  
Shusei Sato ◽  
Kenji Okumura ◽  
Satoshi Tabata ◽  
Ryo Akashi ◽  
...  
Keyword(s):  
Quantitative Trait Locus ◽  
Quantitative Trait ◽  
Agronomic Traits ◽  
Recombinant Inbred Lines ◽  
Lotus Japonicus ◽  
Seed Mass ◽  
Chromosome 2 ◽  
Seed Traits ◽  
Model Legume ◽  
Trait Locus

The first quantitative trait locus (QTL) analysis of multiple agronomic traits in the model legume Lotus japonicus was performed with a population of recombinant inbred lines derived from Miyakojima MG-20 × Gifu B-129. Thirteen agronomic traits were evaluated in 2004 and 2005: traits of vegetative parts (plant height, stem thickness, leaf length, leaf width, plant regrowth, plant shape, and stem color), flowering traits (flowering time and degree), and pod and seed traits (pod length, pod width, seeds per pod, and seed mass). A total of 40 QTLs were detected that explained 5%–69% of total variation. The QTL that explained the most variation was that for stem color, which was detected in the same region of chromosome 2 in both years. Some QTLs were colocated, especially those for pod and seed traits. Seed mass QTLs were located at 5 locations that mapped to the corresponding genomic positions of equivalent QTLs in soybean, pea, chickpea, and mung bean. This study provides fundamental information for breeding of agronomically important legume crops.

Evaluation of the growth response of arid zone invasive species Salvia verbenaca cultivars to atmospheric carbon dioxide and soil moisture

2020 ◽  
Vol 42 (1) ◽  
pp. 45
Author(s):  
Sandra L. Weller ◽  
Muhammad M. Javaid ◽  
Singarayer K. Florentine
Keyword(s):  
Climate Change ◽  
Carbon Dioxide ◽  
Seed Weight ◽  
Seed Mass ◽  
Field Capacity ◽  
Elevated Carbon Dioxide ◽  
Future Climate Change ◽  
Drought Conditions ◽  
100 Seed Weight ◽  
Number Of Seeds

Although climate change is expected to affect the ecology of many weed species, the nature and scale of these responses is presently not well defined. This presages a suite of potential problems for the agricultural industries. Consequently, we investigated the effects of anticipated climate change on biomass and seed production, for two varieties of wild sage, Salvia verbenaca L. var. verbenaca and Salvia verbenaca var. vernalis Bioss. For the investigation, ambient (400 ppm) and elevated (700 ppm) carbon dioxide conditions, in combination with well-watered (100% field capacity) and drought conditions (60% field capacity), were selected to represent alternative climate scenarios. The alteration in biomass production was represented by a combined measurement of nine variables; plant height, stem diameter, number of leaves, number of branches, leaf area, leaf thickness, shoot biomass, root biomass and dry leaf weight, and fecundity was measured via two variables; 100 seed weight and number of seeds per plant. All biomass measurements were reduced in a drought situation compared with well-watered conditions in ambient carbon dioxide (400 ppm), and each corresponding measurement was greater under elevated carbon dioxide (700 ppm) regardless of water treatment. In contrast, this was not observed for 100 seed weight or number of seeds per plant. Although a similar profile of a reduction in fecundity parameters was observed under drought conditions compared with well-watered conditions in ambient carbon dioxide, there was an increase in seed mass only for var. verbenaca under elevated carbon dioxide in both water treatments. In addition, there was a very small increase in the number of seeds in this species under drought conditions in elevated carbon dioxide, with neither increase in seed mass or seed number being observed in var. vernalis. These results suggest that although future climate change may result in increased competition of both these varieties with desirable plants, their management strategies will need to focus on effects of increased size of the weeds, rather than only attempting to reduce the seed bank holdings.

scholarly journals Stability analysis of soybean [Glycine max (L.) Merrill] genotypes under multi-environments rainfed condition of North Western Himalayan hills

2018 ◽  
Vol 78 (3) ◽  
Author(s):  
Anuradha Bhartiya ◽  
J. P. Aditya ◽  
Vedna Kumari ◽  
Naval Kishore ◽  
J. P. Purwar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Seed Weight ◽  
Gge Biplot ◽  
Rainfed Condition ◽  
Soybean Genotypes ◽  
Glycine Max L ◽  
Superior Genotypes ◽  
Ideal Genotype ◽  
100 Seed Weight ◽  
Location Interaction

In the present study, performance of five promising soybean genotypes over 4 locations during kharif 2013, 2014 and 2015 were investigated using GGE biplot analysis. Location attributed the highest proportion of the variation for all the traits except 100 seed weight ranging from 26.97-86.81% whereas, genotype contributed only 3.01-60.51% and genotype x location interaction contributed 6.01-31.42% of total variation. For 100 seed weight genotype has contributed major proportion of variation (66.26%) than location (31.08%) and genotype x location interaction (2.65%). Superior genotypes for key traits viz., grain yield (VLS 86) and 100 seed weight (Himso 1685) were effectively identified using GGE biplot graphical approach. It may be stated from present study that, VLS 86 was the closest to ideal genotype with stability for high grain yield as well as earliness. ‘Which-won-where’ study partitioned the testing locations into two mega-environments: first with three locations with VLS 86 as the winning genotype; second mega environment encompassed only one location with Himso 1685 as the winning genotype. Existence mega environments was found correlated with the rainfall pattern and clearly suggested that different entries need to be selected and deployed for realising maximum grain yield in hill zone.

scholarly journals GENOTYPE-ENVIRONMENT INTERACTION FOR SEED YIELD AND YIELD CONTRIBUTING CHARACTERS IN CHICKPEA (Cicer arietinum L.)

2007 ◽  
Vol 20 (1) ◽  
pp. 09-12
Author(s):  
F. Mahmud ◽  
M. Z. Ullah ◽  
K. M. K. Huda
Keyword(s):  
Seed Yield ◽  
Significant Variation ◽  
Seed Weight ◽  
Environment Interaction ◽  
Stability Parameters ◽  
Cicer Arietinum L ◽  
Plant Seeds ◽  
Genotype Environment Interaction ◽  
Days To Maturity ◽  
100 Seed Weight

Genotype-environment interaction was studied in seven genotypes of chickpea under four different cultural environments. Significant variation for genotype (G), environment (E) and G × E interactions were found for the characters days to maturity, plant height, pods/plant, seeds/plant, 100-seed weight and seed yield/plant. On the basis of stability parameters the genotypes Barichola-2, Barichola-3, Barichola-4, Barichola-7 and Barichola-8 could be considered stable for seed yield but suitable only under poor environments where no fertilizers were used. The genotype Barichola-1 was highly responsive but suitable for favorable environments only. DOI: http://dx.doi.org/10.3329/bjpbg.v20i1.17012

EFFECTS OF SOIL SALINITY LEVELS AND PLANT WATER STRESS AT VARIOUS SOYBEAN GROWTH STAGES

1977 ◽  
Vol 57 (3) ◽  
pp. 925-927 ◽  
Author(s):  
A. R. SEPASKHAH
Keyword(s):  
Water Stress ◽  
Yield Components ◽  
Seed Weight ◽  
Growth Stages ◽  
Plant Water ◽  
Plant Water Stress ◽  
Greenhouse Study ◽  
Salinity Levels ◽  
Glycine Max L ◽  
100 Seed Weight

The effects of plant water stress at flower induction, flowering, podding and pod-filling stages on yield and yield components of soybean (Glycine max (L.) Merr.) were determined at three salinity levels in a greenhouse study. At all salinity levels, plant water stress was more critical in the pod-filling stage, and reduced seed yield and 100-seed weight.

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