Literature DB >> 28830098

Enhancing genetic gain in the era of molecular breeding.

Yunbi Xu1,2, Ping Li3, Cheng Zou1, Yanli Lu4, Chuanxiao Xie1, Xuecai Zhang2, Boddupalli M Prasanna5, Michael S Olsen5.   

Abstract

As one of the important concepts in conventional quantitative genetics and breeding, genetic gain can be defined as the amount of increase in performance that is achieved annually through artificial selection. To develop pro ducts that meet the increasing demand of mankind, especially for food and feed, in addition to various industrial uses, breeders are challenged to enhance the potential of genetic gain continuously, at ever higher rates, while they close the gaps that remain between the yield potential in breeders' demonstration trials and the actual yield in farmers' fields. Factors affecting genetic gain include genetic variation available in breeding materials, heritability for traits of interest, selection intensity, and the time required to complete a breeding cycle. Genetic gain can be improved through enhancing the potential and closing the gaps, which has been evolving and complemented with modern breeding techniques and platforms, mainly driven by molecular and genomic tools, combined with improved agronomic practice. Several key strategies are reviewed in this article. Favorable genetic variation can be unlocked and created through molecular and genomic approaches including mutation, gene mapping and discovery, and transgene and genome editing. Estimation of heritability can be improved by refining field experiments through well-controlled and precisely assayed environmental factors or envirotyping, particularly for understanding and controlling spatial heterogeneity at the field level. Selection intensity can be significantly heightened through improvements in the scale and precision of genotyping and phenotyping. The breeding cycle time can be shortened by accelerating breeding procedures through integrated breeding approaches such as marker-assisted selection and doubled haploid development. All the strategies can be integrated with other widely used conventional approaches in breeding programs to enhance genetic gain. More transdisciplinary approaches, team breeding, will be required to address the challenge of maintaining a plentiful and safe food supply for future generations. New opportunities for enhancing genetic gain, a high efficiency breeding pipeline, and broad-sense genetic gain are also discussed prospectively.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  Breeding cycle time; doubled haploids; envirotyping; genetic gain; genetic variation; genotyping; heritability; marker-assisted selection; phenotyping; selection intensity

Mesh:

Year:  2017        PMID: 28830098     DOI: 10.1093/jxb/erx135

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  41 in total

1.  Plant Genome Editing and the Relevance of Off-Target Changes.

Authors:  Nathaniel Graham; Gunvant B Patil; David M Bubeck; Raymond C Dobert; Kevin C Glenn; Annie T Gutsche; Sandeep Kumar; John A Lindbo; Luis Maas; Gregory D May; Miguel E Vega-Sanchez; Robert M Stupar; Peter L Morrell
Journal:  Plant Physiol       Date:  2020-05-26       Impact factor: 8.340

Review 2.  Advances in integrated genomic selection for rapid genetic gain in crop improvement: a review.

Authors:  C Anilkumar; N C Sunitha; Narayana Bhat Devate; S Ramesh
Journal:  Planta       Date:  2022-09-23       Impact factor: 4.540

Review 3.  Genomic Prediction: Progress and Perspectives for Rice Improvement.

Authors:  Jérôme Bartholomé; Parthiban Thathapalli Prakash; Joshua N Cobb
Journal:  Methods Mol Biol       Date:  2022

4.  Agro-Morphological Characterization and Nutritional Profiling of Traditional Himalayan Crop Landraces for Their Promotion Toward Mainstream Agriculture.

Authors:  Nikhil Malhotra; Paras Sharma; Hemant Sood; Rahul Chandora; Mamta Arya; Jai Chand Rana; Mohar Singh
Journal:  Front Plant Sci       Date:  2022-06-22       Impact factor: 6.627

Review 5.  Genetic insights in pearl millet breeding in the genomic era: challenges and prospects.

Authors:  Mandeep Singh; Usha Nara
Journal:  Plant Biotechnol Rep       Date:  2022-06-06       Impact factor: 2.496

6.  SNP-based pool genotyping and haplotype analysis accelerate fine-mapping of the wheat genomic region containing stripe rust resistance gene Yr26.

Authors:  Jianhui Wu; Qingdong Zeng; Qilin Wang; Shengjie Liu; Shizhou Yu; Jingmei Mu; Shuo Huang; Hanan Sela; Assaf Distelfeld; Lili Huang; Dejun Han; Zhensheng Kang
Journal:  Theor Appl Genet       Date:  2018-04-17       Impact factor: 5.699

7.  A major QTL co-localized on chromosome 6BL and its epistatic interaction for enhanced wheat stripe rust resistance.

Authors:  Qingdong Zeng; Jianhui Wu; Shengjie Liu; Shuo Huang; Qilin Wang; Jingmei Mu; Shizhou Yu; Dejun Han; Zhensheng Kang
Journal:  Theor Appl Genet       Date:  2019-02-01       Impact factor: 5.699

8.  Comparative genome-wide mapping versus extreme pool-genotyping and development of diagnostic SNP markers linked to QTL for adult plant resistance to stripe rust in common wheat.

Authors:  Jianhui Wu; Shuo Huang; Qingdong Zeng; Shengjie Liu; Qilin Wang; Jingmei Mu; Shizhou Yu; Dejun Han; Zhensheng Kang
Journal:  Theor Appl Genet       Date:  2018-06-16       Impact factor: 5.699

Review 9.  Genomics and breeding innovations for enhancing genetic gain for climate resilience and nutrition traits.

Authors:  Pallavi Sinha; Vikas K Singh; Abhishek Bohra; Arvind Kumar; Jochen C Reif; Rajeev K Varshney
Journal:  Theor Appl Genet       Date:  2021-05-20       Impact factor: 5.699

Review 10.  Genetic Improvement in Sunflower Breeding-Integrated Omics Approach.

Authors:  Milan Jocković; Siniša Jocić; Sandra Cvejić; Ana Marjanović-Jeromela; Jelena Jocković; Aleksandra Radanović; Dragana Miladinović
Journal:  Plants (Basel)       Date:  2021-06-04
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.