Genomic-Oriented Precision Breeding and Smart Farming in Model Plants and Cash Crops

A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Innovative Cropping Systems".

Deadline for manuscript submissions: closed (15 July 2022) | Viewed by 3258

Special Issue Editors

Department of Agronomy and Plant Breeding, College of Agriculture and Biotechnology (CAB), Zhejiang University, Hangzhou 310058, China
Interests: crop functional genomics; crop breeding; plant development and epigenetics; gene editing and biosynthesis; phenomics and machine learning
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Guest Editor
Department of Agronomy, Purdue University, West Lafayette, IN 47906, USA
Interests: polyploidy evolution; gene expression regulation, RNA systemic signaling regulation; plant-pathogen interaction; crop domestication; soybean breeding; wheat genome evolution

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Guest Editor
College of Agriculture, Nanjing Agricultural University, Nanjing 210095, China
Interests: genome editing; gene targeting; crop molecular breeding; crop functional genomics; plant flowering regulation

Special Issue Information

Dear Colleagues,

How to fulfill the ever-increasing demands of 10-billion people by 2050 spurs global scientists to provide comprehensive solutions and cutting-edge technologies. In the last decade, with the advantages of in-depth mechanisms and practical methods achieved from model plants, crop studies quickly combine canonical and breakthrough principles. Thanks to large-scale whole-genome sequencing, CRISPR/CAS-based genome editing, and transdisciplinary phenomics, scientists would be able to efficiently improve crop performance by designing key agronomic traits, creating high-quality and less-controversial cultivars, and upgrading farm management in digital and smart ways.

This Special Issue of Agronomy entitled “Genomic-Oriented Precision Breeding and Smart Farming in Model Plants and Cash Crops” calls for interesting and exciting findings in some highlighted aspects.

  • Causal and major function genes in keystone agronomic traits;
  • Large-scale investigation of germplasm resources;
  • In-depth characterization of genetic and epigenetic crosstalks;
  • Gene editing of loss- or gain-of-function and moderate modifications;
  • Computational solutions of phenotyping and farm management.

This Special Issue is not limited to the fields mentioned above. All relevant studies with good quality are welcome.

Dr. Yang Zhu
Dr. Xutong Wang
Prof. Dr. Junjie Tan
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • crop breeding
  • crop functional genomics
  • crop development
  • crop epigenetics
  • gene editing
  • biosynthesis
  • phenomics
  • machine learning

Published Papers (1 paper)

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Research

14 pages, 991 KiB  
Article
Use of SSR Markers for the Exploration of Genetic Diversity and DNA Finger-Printing in Early-Maturing Upland Cotton (Gossypium hirsutum L.) for Future Breeding Program
by Zhengcheng Kuang, Caisheng Xiao, Muhammad Kashif Ilyas, Danish Ibrar, Shahbaz Khan, Lishuang Guo, Wei Wang, Baohua Wang, Hui Huang, Yujun Li, Yuqiang Li, Juyun Zheng, Salman Saleem, Ayesha Tahir, Abdul Ghafoor and Haodong Chen
Agronomy 2022, 12(7), 1513; https://doi.org/10.3390/agronomy12071513 - 24 Jun 2022
Cited by 3 | Viewed by 2486
Abstract
DNA fingerprinting and genetic diversity analysis of 79 early-maturing upland cotton (Gossypium hirsutum L.) cultivars were performed using Simple Sequence Repeat (SSR) molecular markers. Out of 126 pairs of SSR primers, we selected 71 pairs that gave good polymorphisms and clear bands, [...] Read more.
DNA fingerprinting and genetic diversity analysis of 79 early-maturing upland cotton (Gossypium hirsutum L.) cultivars were performed using Simple Sequence Repeat (SSR) molecular markers. Out of 126 pairs of SSR primers, we selected 71 pairs that gave good polymorphisms and clear bands, had good stability, and showed even distribution on the cotton chromosomes, and 142 polymorphic genotypes were amplified. The average number of alleles amplified with the SSR primers was 2.01. The polymorphism information content (PIC) of the markers ranged from 0.1841 to 0.9043, with an average of 0.6494. The results of fingerprint analysis showed that nine varieties had characteristic bands, and at least six primer pairs could be used to completely distinguish all 79 cotton accessions. Using NTSYS-pc 2.11 cluster analysis, the genetic similarity coefficients between the cotton genotypes ranged from 0.3310 to 0.8705, with an average of 0.5861. All cotton accessions were grouped into five categories at a similarity coefficient of 0.57, which was consistent with the pedigree sources. At the same time, the average genetic similarity coefficients of early-maturing upland cotton varieties in China showed a low-high-low pattern of variation over time, revealing the development history of early-maturing upland cotton varieties from the 1980s to the present. This also indirectly reflects that in recent years, China’s cotton breeders have focused on innovation and have continuously broadened the genetic resources for early-maturing upland cotton. Full article
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