Graphical Presentation of some Peanut Genotypes by Comparing Two Patterns of Biplot Analysis العرض البیانی لبعض التراکیب الوراثیة للفول السودانی بمقارنة نموذجین من تحلیل المحاور الثنائیة

Mahmoud, M. W. Sh.; Hussein, E.; Aboelkassem, K.M.; Ibrahim, Hoda E. A.

doi:10.21608/jpp.2020.112895

Cited by 3 publications

References 23 publications

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Selfing revealed positive values than backcrossing for yield and yield enhancing traits among tomato segregating populations generated from Solanum lycopersicum × S. pimpinellifolium crosses under tropical humid climate

Ene

Abtew

Oselebe

et al. 2023

Preprint

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The objectives of this study were to assess phenotypic variability among F3 and BC1F2 tomato populations, and apply genotype by yield*trait (GYT) biplots for population and line selection based on multiple traits. Four diverse cultivated parents (‘CLN2498D’ and ‘CLN2417H’ from Ethiopia; ‘UC Dan INDIA’ and ‘Tima’ from Nigeria), and wild parent ‘LA2093’ were used to generate 276 potential breeding lines. The lines were categorized into eight populations (‘Pop_1_W/H1’, ‘Pop_2_W/H2’, ‘Pop_3_W/D1’, ‘Pop_4_W/D2’, ‘Pop_5_W/T1’, ‘Pop_6_W/T2’, ‘Pop_7_W/U1’, and ‘Pop_8_W/U2’), and evaluated twice in the field using 19 × 15 alpha-lattice design with two replicates. Significant differences were observed among lines and populations for all yield enhancing traits. ‘Pop_1_W/H1’, ‘pop_4_W/D2’ and ‘pop_6_W/T2’ expressed the highest genetic divergence for plant height, number of leaves, total flower and fruit number, and fruit weight. GYT biplots revealed that all yield*trait interactions had a positive correlation with each other. F3 populations, ‘Pop_5_W/T1’ and ‘pop_1_W/H1’ exhibited the best performance for majority of the yield*trait combinations. Hierarchical clustering on principal components (HCPC) revealed overlapping lines (70.58% of Cluster D lines) and (54.05% of Cluster U lines) from the two F3 populations. In BC1F2 population, 32.35% of the 34 original lines of Cluster D and 48.48% of Cluster T lines overlapped between Clusters D and T, while 18.18% of Cluster T lines and 8.82% of Cluster H lines were transgressive between Clusters T and H. Transgressive segregants ‘0210U1’, ‘0211U1’, and ‘0171T1’ of selfed population using multivariate analysis were believed to represent potential sources of novel genetic variation for future tomato breeding.

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Selfing revealed positive values than backcrossing for yield and yield enhancing traits among tomato segregating populations generated from Solanum lycopersicum × S. pimpinellifolium crosses under tropical humid climate

Ene

Abtew

Oselebe

et al. 2023

Preprint

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A Systematic Narration of Some Key Concepts and Procedures in Plant Breeding

Yan

2021

Front. Plant Sci.

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The goal of a plant breeding program is to develop new cultivars of a crop kind with improved yield and quality for a target region and end-use. Improved yield across locations and years means better adaptation to the climatic, soil, and management conditions in the target region. Improved or maintained quality renders and adds value to the improved yield. Both yield and quality must be considered simultaneously, which constitutes the greatest challenge to successful cultivar development. Cultivar development consists of two stages: the development of a promising breeding population and the selection of the best genotypes out of it. A complete breeder's equation was presented to cover both stages, which consists of three key parameters for a trait of interest: the population mean (μ), the population variability (σG), and the achieved heritability (h2 or H), under the multi-location, multi-year framework. Population development is to maximize μσG and progeny selection is to improve H. Approaches to improve H include identifying and utilizing repeatable genotype by environment interaction (GE) through mega-environment analysis, accommodating unrepeatable GE through adequate testing, and reducing experimental error via replication and spatial analysis. Related concepts and procedures were critically reviewed, including GGE (genotypic main effect plus genotype by environment interaction) biplot analysis, GGE + GGL (genotypic main effect plus genotype by location interaction) biplot analysis, LG (location-grouping) biplot analysis, stability analysis, spatial analysis, adequate testing, and optimum replication. Selection on multiple traits includes independent culling and index selection, for the latter GYT (genotype by yield*trait) biplot analysis was recommended. Genomic selection may provide an alternative and potentially more effective approach in all these aspects. Efforts were made to organize and comment on these concepts and procedures in a systematic manner.

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