Genetic Confirmation and Field Performance Comparison for Yield and Quality Among Advanced Generations of Erianthus arundinaceus, E. bengalense and Saccharum spontaneum Cyto-Nuclear Genome Introgressed Sugarcane Intergeneric Hybrids

Kumar, Ravinder; Appunu, C.; Durai, A. Anna; Premachandran, M. N.; Viola, V. Raffee; Ram, Bakshi; Mahadevaiah, C.; Manjunatha, T.

doi:10.1007/s12355-014-0333-2

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…Consistent efforts were made to utilize wild genetic resources to broaden the genetic base of Indian working germplasm involving many Saccharum spp. such as S. officinarum, S. robustum, S. spontaneum as well as E.arundinaceus , and Erianthus bengalense (Mohanraj and Nair, 2014 ; Ravinder et al, 2015 ; Nair et al, 2017 ). Nevertheless, phenotypic selection might not have captured the complete favorable alleles.…”

Section: Genomic Selection Schemes For Sugarcane Breeding Programmesmentioning

confidence: 99%

Genomic Selection in Sugarcane: Current Status and Future Prospects

et al. 2021

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Sugarcane is a C4 and agro-industry-based crop with a high potential for biomass production. It serves as raw material for the production of sugar, ethanol, and electricity. Modern sugarcane varieties are derived from the interspecific and intergeneric hybridization between Saccharum officinarum, Saccharum spontaneum, and other wild relatives. Sugarcane breeding programmes are broadly categorized into germplasm collection and characterization, pre-breeding and genetic base-broadening, and varietal development programmes. The varietal identification through the classic breeding programme requires a minimum of 12–14 years. The precise phenotyping in sugarcane is extremely tedious due to the high propensity of lodging and suckering owing to the influence of environmental factors and crop management practices. This kind of phenotyping requires data from both plant crop and ratoon experiments conducted over locations and seasons. In this review, we explored the feasibility of genomic selection schemes for various breeding programmes in sugarcane. The genetic diversity analysis using genome-wide markers helps in the formation of core set germplasm representing the total genomic diversity present in the Saccharum gene bank. The genome-wide association studies and genomic prediction in the Saccharum gene bank are helpful to identify the complete genomic resources for cane yield, commercial cane sugar, tolerances to biotic and abiotic stresses, and other agronomic traits. The implementation of genomic selection in pre-breeding, genetic base-broadening programmes assist in precise introgression of specific genes and recurrent selection schemes enhance the higher frequency of favorable alleles in the population with a considerable reduction in breeding cycles and population size. The integration of environmental covariates and genomic prediction in multi-environment trials assists in the prediction of varietal performance for different agro-climatic zones. This review also directed its focus on enhancing the genetic gain over time, cost, and resource allocation at various stages of breeding programmes.

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Section: Genomic Selection Schemes For Sugarcane Breeding Programmesmentioning

confidence: 99%

Genomic Selection in Sugarcane: Current Status and Future Prospects

et al. 2021

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“…To acquire new cytoplasmic and nuclear genomes in sugarcane hybrids, the wild species of Erianthus fulvus Ness (axID: 154759), Saccharum spontaneum L. (TaxID: 4547) and Erianthus arundinaceus Retz. (TaxID: 50346) have been used as hybrid parents to produce an array of advanced generation hybrids ( 4 , 5 ).…”

Section: Introductionmentioning

confidence: 99%

EfGD: the Erianthus fulvus genome database

Qian

et al. 2022

Database

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Erianthus fulvus (TaxID: 154759) is a valuable germplasm resource in sugarcane breeding and research and has excellent agronomic traits, such as drought resistance, cold resistance, barren tolerance and high brix. With a stable chromosome number (2n = 20) and a small genome (0.9 Gb), it is an ideal candidate for research on sugarcane. Next-generation sequencing technology has enabled a growing number of studies to focus on genomics. Due to the large amount of omics data available, a centralized platform is necessary for ensuring the consistency, independence and maintainability of these large-scale datasets through storage, analysis and integration. Here, we present a comprehensive database for the E. fulvus genome, EfGD. By using the new high-quality reference genome and its annotations, the EfGD provides the largest whole-genome sequencing reference dataset for E. fulvus, which archives 27 165 protein-coding genes and 55 564 488 SNPs from 202 newly resequenced genomes. Furthermore, we created a user-friendly graphical interface for visualizing genomic diversity, population structure and evolution and provided other tools on an open platform. Database URL: https://efgenome.ynau.edu.cn

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Collection, Characterization and Diversity Analysis of New Wild Sugarcane Germplasm Collected from Western Ghats: A Rich Biodiversity Spot in India

Govindaraj

Mahadevaswamy

2021

Sugar Tech

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Genetic Confirmation and Field Performance Comparison for Yield and Quality Among Advanced Generations of Erianthus arundinaceus, E. bengalense and Saccharum spontaneum Cyto-Nuclear Genome Introgressed Sugarcane Intergeneric Hybrids

Cited by 11 publications

References 4 publications

Genomic Selection in Sugarcane: Current Status and Future Prospects

Genomic Selection in Sugarcane: Current Status and Future Prospects

EfGD: the Erianthus fulvus genome database

Collection, Characterization and Diversity Analysis of New Wild Sugarcane Germplasm Collected from Western Ghats: A Rich Biodiversity Spot in India

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