Agromorphological Characterization of a Collection of Senna obtusifolia (L.) in Burkina Faso

Author(s):  
Haoua Nacambo ◽  
Kiswendsida Romaric Nanema ◽  
Boureima Sawadogo ◽  
Mahamadou Sawadogo

Aims: Senna obtusifolia (L.) is an important wild herbaceous species for subsaharan Africa population. It is used in human food and traditional medicine to treat several deseases. In Burkina Faso, despite its potentialities, this species is of a little interest in scientific research. The aim of this study is to provide a good knowledge of the genetic diversity of this species. Study Design: The experimental design used was a randomized Fischer block type with three replications. Place and Duration of the Study: The study was carried out at Gampéla during 2018 rainy season. Methodology: Seventy (70) accessions of Senna obtusifolia were used for the evaluation of agromorphological variability. A total of twenty-seven (27) quantitative traits were studied. Results: The study revealed the existence of a great variability within the studied collection. Among the twenty-one (21) traits used for the analysis of variance (ANOVA), seventeen (17) variables significantly discriminate the accessions. A high heterogeneity was observed for the number of leaflets of the three first leaves and the number of floral pieces. In addition, significant correlations were observed between several variables. Indeed, the number of primary branches was positively correlated with the number of fruits per plant (r = 0.483), the number of grains per plant (r = 0.352) and the leaves biomass (r = 0.279). However, the number of days at flowering (NJF) is negatively correlated with the number of primary branches (r = -0.281). The variability obtained was structured in three groups. The third group is composed of accessions with the best agronomic performance that could be used in future breeding program. Conclusion: A high agromorphological diversity of Senna obtusifolia was observed and could be used in a breeding program.

2020 ◽  
Vol 79 (04) ◽  
Author(s):  
Amarjeet Kumar ◽  
N. K. Singh ◽  
Sneha Adhikari ◽  
Anjali Joshi

Germplasm enhancement seems to be an essential part of a breeding programme to improve resiliency, adaptability and productivity of the crops. To develop and diversify the maize germplasm, teosinte a wild relative of maize was integrated in crossing programme and BC1F4 lines were developed. Five BC1F4 lines along with teosinte and maize inbred DI-103 were characterised using quantitative characters and molecular markers. Morphological characterization was done with the help of visual parameters and quantitative traits and for molecular characterization fifty six SSR markers were used. SSR data were analysed with the help of software Mapmaker and twelve linkage groups were generated. Maximum allelic contributions from parent teosinte were found in the introgressed line AM-5 (53.4%) followed by AM-12 (48.9 %), whereas, least contribution of 34.1 % was found in AM-7. The maximum genetic distance among the introgressed lines was observed between AM-2 and AM-9 (0.75) followed by AM-2 and AM-7 (0.70), AM-7 and AM-9 (0.70). The maximum number of cob was found in AM-5 (5.00) followed by AM-2 (4.00). Grain yield per plant was found highest for AM-2 (100.00 g) followed by AM-12 (80.00 g), while, least value was observed for AM-7 (42.00 g). The results indicated differential parental contributions which leads to diversification in the progenies derived from diverse crosses in maize and further opined that such crosses seems to be essential for creating adapted germplasm to whom breeders are looking for.


BMC Genomics ◽  
2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Sirlene Viana de Faria ◽  
Leandro Tonello Zuffo ◽  
Wemerson Mendonça Rezende ◽  
Diego Gonçalves Caixeta ◽  
Hélcio Duarte Pereira ◽  
...  

Abstract Background The characterization of genetic diversity and population differentiation for maize inbred lines from breeding programs is of great value in assisting breeders in maintaining and potentially increasing the rate of genetic gain. In our study, we characterized a set of 187 tropical maize inbred lines from the public breeding program of the Universidade Federal de Viçosa (UFV) in Brazil based on 18 agronomic traits and 3,083 single nucleotide polymorphisms (SNP) markers to evaluate whether this set of inbred lines represents a panel of tropical maize inbred lines for association mapping analysis and investigate the population structure and patterns of relationships among the inbred lines from UFV for better exploitation in our maize breeding program. Results Our results showed that there was large phenotypic and genotypic variation in the set of tropical maize inbred lines from the UFV maize breeding program. We also found high genetic diversity (GD = 0.34) and low pairwise kinship coefficients among the maize inbred lines (only approximately 4.00 % of the pairwise relative kinship was above 0.50) in the set of inbred lines. The LD decay distance over all ten chromosomes in the entire set of maize lines with r2 = 0.1 was 276,237 kb. Concerning the population structure, our results from the model-based STRUCTURE and principal component analysis methods distinguished the inbred lines into three subpopulations, with high consistency maintained between both results. Additionally, the clustering analysis based on phenotypic and molecular data grouped the inbred lines into 14 and 22 genetic divergence clusters, respectively. Conclusions Our results indicate that the set of tropical maize inbred lines from UFV maize breeding programs can comprise a panel of tropical maize inbred lines suitable for a genome-wide association study to dissect the variation of complex quantitative traits in maize, mainly in tropical environments. In addition, our results will be very useful for assisting us in the assignment of heterotic groups and the selection of the best parental combinations for new breeding crosses, mapping populations, mapping synthetic populations, guiding crosses that target highly heterotic and yielding hybrids, and predicting untested hybrids in the public breeding program UFV.


2018 ◽  
Vol 10 (1) ◽  
pp. 153-159
Author(s):  
Rohma Istiana ◽  
Hermin Pancasakti Kusumaningrum ◽  
Rejeki Siti Ferniah

The identification and the characterization of genetic diversity of rice was the first step in the rice plant breeding program. This study aimed to detect indica or japonica sub-species on upland rice Situ Bagendit and inbred rice Ciherang using molecular markers ORF 29-TrnC (GCA) on the chloroplast genome. Rice was included to the indica sub-species if the 32 bp insertion on ORF 29-TrnC (GCA) sequence was found, on the contrary, if the deletion 32 bp on ORF 29-TrnC (GCA) was found then it was included to the japonica sub-species. DNA isolation was examined from the leaves of the rice plants, and then it tested quantitatively to determine the transparency and DNA concentration from the isolation results. PCR amplification was performed using a pair of primers CP2 and it was followed by agarose gel electrophoresis. The visualization of the DNA bands used the gel documentation. Sequencing of PCR products produced a long base 390 bp in Situ Bagendit rice and 390 bp in Ciherang rice. Analysis of the sequences showed that the insertions occurred throughout the 32 bp in Situ Bagendit rice and the insertions occurred throughout the 32 bp in Ciherang rice. The results showed that upland rice Situ Bagendit and inbred rice Ciherang were included in the indica sub-species. The knowledge of variety of genetics of rice can be used as bio-information in the plant breeding program. Further, the knowledge can be used to protect in genetic power source, the selection and the composing of superior varieties of rice which is tolerant with kinds of biotic and abiotic factor.


2005 ◽  
Vol 18 (12) ◽  
pp. 1701-1707 ◽  
Author(s):  
J. H. Kim ◽  
B. H. Choi ◽  
H. T. Lim ◽  
E. W. Park ◽  
S. H. Lee ◽  
...  

Genetika ◽  
2014 ◽  
Vol 46 (2) ◽  
pp. 545-559 ◽  
Author(s):  
Mirjana Jankulovska ◽  
Sonja Ivanovska ◽  
Ana Marjanovic-Jeromela ◽  
Snjezana Bolaric ◽  
Ljupcho Jankuloski ◽  
...  

In this study, the use of different multivariate approaches to classify rapeseed genotypes based on quantitative traits has been presented. Tree regression analysis, PCA analysis and two-way cluster analysis were applied in order todescribe and understand the extent of genetic variability in spring rapeseed genotype by trait data. The traits which highly influenced seed and oil yield in rapeseed were successfully identified by the tree regression analysis. Principal predictor for both response variables was number of pods per plant (NP). NP and 1000 seed weight could help in the selection of high yielding genotypes. High values for both traits and oil content could lead to high oil yielding genotypes. These traits may serve as indirect selection criteria and can lead to improvement of seed and oil yield in rapeseed. Quantitative traits that explained most of the variability in the studied germplasm were classified using principal component analysis. In this data set, five PCs were identified, out of which the first three PCs explained 63% of the total variance. It helped in facilitating the choice of variables based on which the genotypes? clustering could be performed. The two-way cluster analysissimultaneously clustered genotypes and quantitative traits. The final number of clusters was determined using bootstrapping technique. This approach provided clear overview on the variability of the analyzed genotypes. The genotypes that have similar performance regarding the traits included in this study can be easily detected on the heatmap. Genotypes grouped in the clusters 1 and 8 had high values for seed and oil yield, and relatively short vegetative growth duration period and those in cluster 9, combined moderate to low values for vegetative growth duration and moderate to high seed and oil yield. These genotypes should be further exploited and implemented in the rapeseed breeding program. The combined application of these multivariate methods can assist in deciding how, and based on which traits to select the genotypes, especially in early generations, at the beginning of a breeding program.


2014 ◽  
Vol 05 (12) ◽  
pp. 1183-1196 ◽  
Author(s):  
Adama Sawadogo ◽  
Otoidobiga C. Harmonie ◽  
Joseph B. Sawadogo ◽  
Aminata Kaboré ◽  
Alfred S. Traoré ◽  
...  

Plant Disease ◽  
2021 ◽  
Author(s):  
Wenrui Wang ◽  
Huagang He ◽  
Huiming Gao ◽  
Hongxing Xu ◽  
Wenyue Song ◽  
...  

Wheat powdery mildew, caused by Blumeria graminis f. sp. tritici (Bgt), is a destructive disease seriously threatening yield and quality of common wheat (Triticum aestivum L., 2n=6x=42, AABBDD). Characterization of resistance genes against powdery mildew is useful in parental selection and for developing disease resistant cultivars. Chinese wheat breeding line KN0816 has superior agronomic performance and resistance to powdery mildew at all growth stages. Genetic analysis using populations of KN0816 crossed with different susceptible parents indicated that a single dominant gene, tentatively designated PmKN0816, conferred seedling resistance to different Bgt isolates. Using a bulked segregant analysis (BSA), PmKN0816 was mapped to the Pm6 interval on chromosome arm 2BL using polymorphic markers linked to the catalogued genes Pm6, Pm52, and Pm64, and flanked by markers CISSR02g-6 and CIT02g-2 both with genetic distances of 0.7 cM. Analysis of closely linked molecular markers indicated that the marker alleles of PmKN0816 differed from those of other powdery mildew resistance genes on 2BL, including Pm6, Pm33, Pm51, Pm64, and PmQ. Based on the genetic and physical locations and response pattern to different Bgt isolates, PmKN0816 is most likely a new powdery mildew resistance gene and confers effective resistance to all the 14 tested Bgt isolates. In view of the elite agronomic performance of KN0816 combined with the resistance, PmKN0816 is expected to become a valuable resistance gene in wheat breeding. To transfer PmKN0816 to different genetic backgrounds using marker-assisted selection (MAS), closely linked markers of PmKN0816 were evaluated and four of them (CIT02g-2, CISSR02g-6, CIT02g-10, and CIT02g-17) were confirmed to be applicable for MAS in different genetic backgrounds.


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