scholarly journals Development of new cowpea (Vigna unguiculata) mutant genotypes, analysis of their agromorphological variation, genetic diversity and Population structure

2020 ◽  
Author(s):  
Made Diouf ◽  
Sara Diallo ◽  
François Abaye Badiane ◽  
Oumar Diack ◽  
Diaga Diouf
Keyword(s):  
Genetic Diversity ◽  
Coat Color ◽  
Flower Color ◽  
Issr Markers ◽  
Yield Component ◽  
Human Consumption ◽  
Component Traits ◽  
Cowpea Varieties ◽  
Yield Component Traits ◽  
Mutant Lines

AbstractCowpea is one of the most important legume grain in the SubSaharian region of Africa used for human consumption and animal feeding but its production is hampered by biotic and abiotic constraints raising the need to broaden its genetic basis. For this purpose, the seeds of two cowpea varieties Melakh and Yacine were respectively irradiated with 300 and 340 Gy. The developed mutant populations were agromorphologically characterized from M5 to M7 while the genetic diversity of the last were evaluated using 13 ISSR markers. Based on agromorphological characterization, variation of flower color, pod length, seed coat color and seed weight with respectively 78.01, 68.29, 94.48 and 57.58% heritability were recorded in the mutant lines. PCA analyses allowed to identify the elite mutants based on their agromorphological traits while Pearson’s correlation results revealed a positive correlation between yield component traits. Three subpopulations were identified through STRUCTURE analyses but assignment of the individuals in each group was improved using DAPC. Analysis of Molecular Variance revealed that the majority (85%) of the variance rather existed within group than among (15%) group. Finally, our study allowed to select new promising mutant genotypes which could be tested for multi local trials to evaluate their agronomic performance.

scholarly journals Varietal Evaluation and Clustering of Early Maize Genotypes in Mid-Western Hilly Region of Nepal

2020 ◽  
Vol 77 (2) ◽  
pp. 24
Author(s):  
Bishnu Prasad KANDEL
Keyword(s):  
Genetic Diversity ◽  
Block Design ◽  
Yield Component ◽  
Research Station ◽  
Maize Genotypes ◽  
Hilly Region ◽  
Randomized Complete Block Design ◽  
Component Traits ◽  
Yield Component Traits ◽  
Selection Of

Eleven early maize (Zea mays) genotypes were evaluated for their yield and yield component traits at the research block of Regional Agriculture Research Station (RARS) Lumle, Kaski, Nepal during Kharif season of 2016. The experiment was laid out in randomized complete block design (RCBD) with three replications. Results showed that all the studied genotypes differed significantly for grain yield as well as other yield component traits except number of kernel per row. Out of tested genotypes COMPOZ-NIPB, EEYC1, POP-445/POP-446 were three top performer genotypes yielding 6.89, 5.38 and 5.19 t ha-1. Early mid Katamari, Rajahar local, Manakamana-5, EEYC1 were statistically at par with Arun-4(standard check) and will be needed further evaluation and improvement by a selection of desirable traits. Eleven genotypes occupied three different clusters and showed that early maize genotypes suggest considerable genetic diversity among themselves. Genotypes belong to cluster one having the highest yield potentials so need to be further evaluation in different location of mid hill and recommended best variety for that domain.

scholarly journals Genetic Diversity of Butterfly Pea [Clitoria ternatea] from Indonesia Based on Flower and Yield Component Traits in Two Land Conditions

2020 ◽  
Vol 16 (1) ◽  
pp. 1
Author(s):  
Trixie A. Ulimaz ◽  
Debby Ustari ◽  
Virda Aziza ◽  
Tarkus Suganda ◽  
Vergel Concibido ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Principal Component ◽  
Yield Component ◽  
Breeding Program ◽  
Clitoria Ternatea ◽  
Fresh Flower ◽  
Underutilized Crop ◽  
Component Traits ◽  
Butterfly Pea ◽  
Yield Component Traits

<p>Genetic diversity among the butterfly pea genotypes is important information to support breeding program of this underutilized crop. The important characters to be targeted in the breeding program of this crop included yield and yield components of flowers that are strongly affected by the environment and have not been previously reported. This study aimed to determine the genetic diversity of butterfly pea (Clitoria ternatea L.) from Indonesia tested in two land conditions, namely dryland and former paddy fields, based on flower character and yield component traits. The results showed that butterfly pea accessions were divided into two main clusters with dissimilarity coefficient of 0.01–3.99 indicating wide genetic diversity across  accessions. The Mantel correlation showed that the genetic distance among accessions studied were not significantly correlated (r = 0.044, P = 0.8709). Based on principal component analysis (PCA), the eigenvalue ranged from 1.69 to 3.34 with a cumulative contribution of 72.64%. The traits that influenced genetic diversity in this study were flower length, weight of one fresh flower, total weight of pods, and weight of 100 seeds. The results of this study should be useful to support future butterfly pea breeding program.</p>

scholarly journals Evaluating Genotype × Environment Interactions of Yield Traits and Adaptability in Rice Cultivars Grown under Temperate, Subtropical and Tropical Environments

Agriculture ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 558
Author(s):  
Xing Huang ◽  
Su Jang ◽  
Backki Kim ◽  
Zhongze Piao ◽  
Edilberto Redona ◽  
...  
Keyword(s):  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Accurate Identification ◽  
Rice Varieties ◽  
Panicle Number ◽  
Tropical Conditions ◽  
Component Traits ◽  
Yield Component Traits

Rice yield is a complex trait that is strongly affected by environment and genotype × environment interaction (GEI) effects. Consideration of GEI in diverse environments facilitates the accurate identification of optimal genotypes with high yield performance, which are adaptable to specific or diverse environments. In this study, multiple environment trials were conducted to evaluate grain yield (GY) and four yield-component traits: panicle length, panicle number, spikelet number per panicle, and thousand-grain weight. Eighty-nine rice varieties were cultivated in temperate, subtropical, and tropical regions for two years. The effects of both GEI (12.4–19.6%) and environment (23.6–69.6%) significantly contributed to the variation of all yield-component traits. In addition, 37.1% of GY variation was explained by GEI, indicating that GY performance was strongly affected by the different environmental conditions. GY performance and genotype stability were evaluated using simultaneous selection indexing, and 19 desirable genotypes were identified with high productivity and broad adaptability across temperate, subtropical, and tropical conditions. These optimal genotypes could be recommended for cultivation and as elite parents for rice breeding programs to improve yield potential and general adaptability to climates.

scholarly journals Genetic imprints of domestication for disease resistance, oil quality, and yield component traits in groundnut (Arachis hypogaea L.)

2018 ◽  
Vol 294 (2) ◽  
pp. 365-378 ◽  
Author(s):  
Pawan Khera ◽  
Manish K. Pandey ◽  
Nalini Mallikarjuna ◽  
Manda Sriswathi ◽  
Manish Roorkiwal ◽  
...  
Keyword(s):  
Disease Resistance ◽  
Arachis Hypogaea ◽  
Oil Quality ◽  
Yield Component ◽  
Arachis Hypogaea L ◽  
Component Traits ◽  
Yield Component Traits

scholarly journals Evaluation of Yield Component Traits of Honeybee-Pollinated (Apis mellifera L.)Rapeseed Canola (Brassica napus L.)

2010 ◽  
Vol 70 (2) ◽  
pp. 309-314 ◽  
Author(s):  
Ximena Araneda Durán ◽  
Rodrigo Breve Ulloa ◽  
José Aguilera Carrillo ◽  
Jorge Lavín Contreras ◽  
Marcelo Toneatti Bastidas
Keyword(s):  
Apis Mellifera ◽  
Brassica Napus ◽  
Yield Component ◽  
Brassica Napus L ◽  
Component Traits ◽  
Yield Component Traits
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