Detection of QTLs for Plant Height Related Traits in Brassica napus L. Using DH and Immortalized F2 Population

2018 ◽  
Vol 44 (4) ◽  
pp. 533
Author(s):  
Ya-Jun HE ◽  
Dao-Ming WU ◽  
Ying FU ◽  
Wei QIAN
Keyword(s):  
Brassica Napus ◽  
Plant Height ◽  
Brassica Napus L ◽  
F2 Population ◽  
Immortalized F2

scholarly journals Rapid Identification of a Genomic Region Conferring Dwarfism in Rapeseed (Brassica napus L.) YA2016-12

Agronomy ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 129
Author(s):  
Liang Chai ◽  
Haojie Li ◽  
Jinfang Zhang ◽  
Lintao Wu ◽  
Benchuan Zheng ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Plant Height ◽  
Bulked Segregant Analysis ◽  
Rapid Identification ◽  
Genomic Region ◽  
Cytokinin Signaling ◽  
Brassica Napus L ◽  
Lodging Resistance ◽  
F2 Population ◽  
Dna Pools

Plant height is a vital agronomic trait for crops, including oilseed crops such as rapeseed (Brassica napus L.). It affects the crop yield, oil content, and lodging resistance in rapeseed. In this study, we investigated a dwarf trait controlled by a semi-dominant allele in rapeseed. A dwarf line, YA2016-12, was crossed with a tall line, G184-189, and an F2 population was established. Forty of the tallest plants and 40 of the shortest plants from the F2 population were selected and two DNA pools (tall and dwarf) were constructed by the bulked segregant analysis (BSA) method. The two DNA pools and two parental DNAs were then re-sequenced. A sliding window analysis was used to calculate the Δ(SNP-index) and discover an association region on chromosome A03 with a length of 12.4 Mb. Within this region, we found 1225 genes, including 811 genes with non-synonymous or frameshift mutations between YA2016-12 and G184-189. Alignment to known plant height-related orthologs in Arabidopsis thaliana, as well as KEGG pathway and gene ontology annotations, was used to identify nine candidate genes (BnaA03g31770D, BnaA03g37960D, BnaA03g24740D, BnaA03g40550D, BnaA03g26120D, BnaA03g35130D, BnaA03g42350D, BnaA03g25610D, and BnaA03g39850D) involved in gibberellin or cytokinin signaling. Identification of the causal gene for this trait, and of genetic markers linked to favorable alleles, has potential utility for marker-assisted selection to breed rapeseed varieties with improved height.

scholarly journals Effects of sulphur on the yield, yield component characters and oil content of oilseed rape

2021 ◽  
Vol 66 (1) ◽  
pp. 17-25
Author(s):  
Valiollah Rameeh ◽  
Maryam Niakan ◽  
Mohammad Mohammadi
Keyword(s):  
Brassica Napus ◽  
Plant Height ◽  
Oilseed Rape ◽  
Seed Yield ◽  
Oil Content ◽  
Statistical Difference ◽  
Mean Value ◽  
Yield Component ◽  
Brassica Napus L ◽  
Significant Statistical Difference

The effects of four sulphur levels: S0, S1, S2 and S3, including 0, 12, 24 and 36 kg S ha-1, respectively, along with 115 kg N ha-1 were studied on yield-related traits of oilseed rape (Brassica napus L.). The significant variance of treatments was determined for plant height, yield component characters, seed yield and oil content. The sulphur application significantly increased most of the traits compared to the S0 level. The S3 (36 kg S ha-1) treatment led to the highest mean value of plant height (132 cm) which was classified with S2 (24 kg S ha-1) in the same statistical group. Sulphur had an increasing effect on pods per plant, and it ranged from 92 to 196 for S0 and S3 applications, respectively. S0 and S1 with 92 and 121 pods per plant were grouped in the same statistical group. In addition, S2, and S3 with 165 and 196 pods per plant showed no significant statistical difference. The sulphur application significantly increased seed yield compared to control (S0 level), and it ranged from 2744 to 3215 kg ha-1 in S0 and S3, respectively. The average oil contents of 45.69, 46.96, 47.46 and 49.53 % were detected for 0, 12, 24 and 36 kg S ha-1, respectively.

scholarly journals Fine-mapping and transcriptome analysis of a candidate gene controlling plant height in Brassica napus L.

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Xiaodong Wang ◽  
Ming Zheng ◽  
Hongfang Liu ◽  
Liang Zhang ◽  
Feng Chen ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Candidate Gene ◽  
Plant Height ◽  
Fine Mapping ◽  
Transcriptome Analysis ◽  
Brassica Napus L

Effect of triapenthenol plant-growth regulator on canola height, yield, side branches and pod density

1992 ◽  
Vol 72 (4) ◽  
pp. 1153-1156 ◽  
Author(s):  
K. J. Kirkland
Keyword(s):  
Brassica Napus ◽  
Plant Growth ◽  
Field Experiment ◽  
Plant Height ◽  
Growth Regulator ◽  
Plant Growth Regulator ◽  
Growth And Development ◽  
Management Tool ◽  
Brassica Napus L ◽  
Growing Conditions

A 3-yr field experiment was conducted at the Scott Experimental Farm to determine the effect of the growth regulator, triapenthenol, on the growth and development of Argentine canola (Brassica napus L.). Triapenthenol reduced plant height 25–45 cm under optimal growing conditions. Increases in yield, branches and total pods were observed. Application at the bud stage was more effective than earlier treatment in the rosette. It was concluded that triapenthenol application to canola could be a useful management tool, particularly under optimal growing conditions.Key words: Canola, growth regulator, RSW-0411, lodging

QTL analysis of yield-related traits and their association with functional markers in Brassica napus L.

2007 ◽  
Vol 58 (8) ◽  
pp. 759 ◽  
Author(s):  
Yuanyuan Li ◽  
Jinxiong Shen ◽  
Tonghua Wang ◽  
Qingfang Chen ◽  
Xingguo Zhang ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Agronomic Traits ◽  
High Yield ◽  
Functional Markers ◽  
Multiple Traits ◽  
Brassica Napus L ◽  
Breeding Programs ◽  
F2 Population ◽  
Expressed Sequence ◽  
Simple Sequence

Yield is one of the most important traits in Brassica napus breeding programs. Quantitative trait loci (QTLs) for yield-related traits based on genetic mapping would help breeders to develop high-yield cultivars. In this study, a genetic linkage map of B. napus, containing 142 sequence-related amplified polymorphism (SRAP) markers, 163 functional markers, 160 simple sequence repeat (SSR) markers, and 117 amplified fragment length polymorphism (AFLP) markers, was constructed in an F2 population of 184 individuals resulting from the cross SI-1300 × Eagle. This map covered 2054.51 cM with an average marker interval of 3.53 cM. Subsequently, QTLs were detected for 12 yield-related traits in Wuhan and Jingmen. In total, 133 QTLs were identified, including 14 consistent ones across the 2 locations. Fifteen of 20 linkage groups (LGs) were found to have QTLs for the 12 traits investigated, and most of the QTLs were clustered, especially on LGs N2 and N7, where similar QTL positions were identified for multiple traits. Eight of 10 QTLs for yield per plant (YP) were also associated with number of seeds per silique (SS), number of siliques per plant (SP), and/or 1000-seed weight (SW). In addition, 45 functional markers involved in 39 expressed sequence tags (ESTs) were linked to the QTLs of 12 traits. The present results may serve as a valuable basis for further molecular dissection of agronomic traits in B. napus, and the markers related to QTLs may offer promising possible makers for marker assisted selection.

scholarly journals Genetic Variability, Correlation and Path Coefficient Analysis in Advanced Generation of Brassica napus L.

2019 ◽  
pp. 1-12
Author(s):  
Md. Nur-E-Nabi ◽  
Md. Ehsanul Haq ◽  
Montasir Ahmed ◽  
Md. Monir Hossain ◽  
Md. Shefat-al-Maruf ◽  
...  
Keyword(s):  
Brassica Napus ◽  
Genetic Variability ◽  
Plant Height ◽  
Seed Yield ◽  
Coefficient Of Variation ◽  
Yield Potential ◽  
Path Coefficient ◽  
Path Coefficient Analysis ◽  
Brassica Napus L ◽  
Positive Direct

The present study was conducted involving 62 F3 genotypes of Brassica napus L. at the experimental farm of Sher-e-Bangla Agricultural University, Dhaka, Bangladesh to ponder the genetic variability, phenotypic, genotypic and environmental coefficient of variation, heritability and genetic advance, correlation, path coefficient and genetic diversity analysis in a randomized complete block design (RCBD) with sixty-two genotypes (treatments) with three replications during November 2014 to February 2015. The investigations aimed to select the best segregating genotypes for the yield improvement of Brussica napus (rapeseed). Analysis of variance indicated that the genotypes were found significantly different for all the characters considered. The relative phenotypic coefficient of variation (PCV) was higher than the genotypic coefficient of variation (GCV) for all the traits investigated. The high GCV value was observed for the number of siliqua per plant (NSP), plant height (PH), silique length (SL), number of seed per silique (NSS) and seed yield per plant (SYP) indicated high broad sense heritability. The significant positive correlation with seed yield per plant (SYP) was found in plant height (PH) (0.368**), the number of primary branches per plant (NPB) (0.332**), number of secondary branches per plant (NSB) (0.382**), number of silique per plant (NSP) (0.549**), and siliqua length (SL) (0.037**). The results of path coefficient analysis uncovered that plant height (PH) (0.582), days to 50% flowering (50F) (0.390), days to maturity (DM) (0.575), number of primary branches per plant (NPB) (0.678), number of secondary branches per plant (NSB) (0.182),and thousand seed weight (TSW) (0.289) had a positive direct impact on seed yield per plant (SYP) and thus it was concluded that these traits could be exploited for the enhancement of yield potential of rapeseed. This study showed that based on the agronomic performance execution, genotypes G8, G14, G19, G21, G47, and G55 might be proposed for future hybridization program in Bangladesh and this could help rapeseed breeders to upgrade their breeding activities.

Phenotypic diversity analysis and performance of elite lines of Brassica napus L.

2021 ◽  
Vol 50 (1) ◽  
pp. 1-6
Author(s):  
Muhammad Sajjad Iqbal ◽  
Muhammad Akbar
Keyword(s):  
Brassica Napus ◽  
Plant Height ◽  
Seed Yield ◽  
Large Scale ◽  
Phenotypic Diversity ◽  
Phenotypic Traits ◽  
Brassica Napus L ◽  
Days To Maturity ◽  
Pakistani Origin ◽  
Pod Length

Thirteen elite lines of Brassica napus L. were tested. Nine phenotypic traits viz., days to 50% flowering, days to maturity, plant height, branches, pods, pod length, pod width, pod weight and seed yield were studied. ANOVA revealed significant results for all the traits while summary statistics exhibited high level of genetic variability in days to 50% flowering, days to maturity, plant height and number of pods. On the other hand, number of branches, pod length, pod width, pod weight and seed yield need more attention for improvement. Coefficient of correlation revealed significant combinations among various traits which could be utilized directly. Cluster analysis based on linkage distances described grouping pattern into three clusters for dissimilarities. Elite line 24866 of Pakistani origin placed in separate cluster prominently that is due to best performance for maximum traits, hence recommended for farmers’ field large scale cultivation.

scholarly journals Genetic analysis of Plant Height, Yield Components and Seed Yield in Rapeseed (Brassica Napus L.) Cultivars

2014 ◽  
Vol 67 (1) ◽  
pp. 61-74
Author(s):  
Valiollah Rameeh
Keyword(s):  
Brassica Napus ◽  
Plant Height ◽  
Seed Yield ◽  
Combining Ability ◽  
Seed Weight ◽  
Main Axis ◽  
Brassica Napus L ◽  
Narrow Sense Heritability ◽  
Recessive Genes ◽  
Additive Genetic Effects

Abstract Half F2 diallel crosses of spring rapeseed (Brassica napus L.) varieties along with their parents were evaluated for plant height, first siliqua height, siliquae on main axis, siliquae per plant, 1000-seed weight and seed yield. The Analysis of variance based on Cockerham’s method revealed significant mean squares of general combining ability (GCA), specific combining ability (SCA) for all the traits indicating that both additive and non-additive genetic effects were involved in controlling these traits. Parent vs crosses mean square which is indicating average heterosis was significant for all the traits. In Hayman’s method the regression lines estimated for all the traits except plant height cut the Wr axis below the origin in the negative zone, suggesting the overdominance type of gene action for these traits except plant height. Based on the array points on the regression lines, 19H had maximum dominant genes for siliquae on main axis, siliquae per plant 1000-seed weight and seed yield, being closest to the origin, while 0ption500 possessed recessive genes for first siliqua height, siliquae per plant and 1000-seed weight, as evidenced by its distant position from the origin. Due to low narrow-sense heritability estimates for most of the traits, selection for improving these traits should be carried out in delayed segregating generations.

Genetic Variability, Correlation and Path Analysis in Advanced Lines of Rapeseed (Brassica Napus L.) for Yield Components

2014 ◽  
Vol 47 (1) ◽  
pp. 71-79 ◽  
Author(s):  
Ejaz Ul-Hasan ◽  
H.S.B. Mustafa ◽  
Tahira Bibi ◽  
T. Mahmood
Keyword(s):  
Brassica Napus ◽  
Path Analysis ◽  
Plant Height ◽  
Seed Yield ◽  
Yield Components ◽  
Seed Weight ◽  
Significant Positive Correlation ◽  
Brassica Napus L ◽  
Yield Improvement ◽  
Days To Maturity

ABSTRACT The present research was carried out to determine the best selection criteria for yield improvement in rapeseed (Brassica napus L.). Nine genotypes of Brassica napus were sown at Oilseeds Research Institute, Faisalabad, during the years 2011- 2012, to evaluate the means and components of variability (genotypic and phenotypic), heritability (h2 B.S), correlation (genotypic and phenotypic) and path analysis for yield and various yield components. At phenotypic and genotypic level, seed yield/plant had significant positive correlation with plant height, seeds/plant and siliqua/plant. A positive and highly significant genetic relationship was found between plant height and seeds/plant, siliqua length and seeds/siliqua, days to maturity and 1000 seed weight, days to flowering and seeds/plant, days to maturity and seeds/plant. Path coefficient revealed that the seeds/siliqua, 1000 seed weight, days to flowering, days to maturity and seeds/plant had direct positive contribution towards seed yield per plant. For rapeseed breeding seed per plant was the variable with maximum potential of selection for seed yield improvement because this trait possessed high h2 B.S, highly significant positive correlation and maximum positive direct effects with yield

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