Literature DB >> 34206949

Finding Needles in a Haystack: Using Geo-References to Enhance the Selection and Utilization of Landraces in Breeding for Climate-Resilient Cultivars of Upland Cotton (Gossypium hirsutum L.).

Junghyun Shim1, Nonoy B Bandillo2, Rosalyn B Angeles-Shim1.   

Abstract

The genetic uniformity of cultivated cotton as a consequence of domestication and modern breeding makes it extremely vulnerable to abiotic challenges brought about by major climate shifts. To sustain productivity amidst worsening agro-environments, future breeding objectives need to seriously consider introducing new genetic variation from diverse resources into the current germplasm base of cotton. Landraces are genetically heterogeneous, population complexes that have been primarily selected for their adaptability to specific localized or regional environments. This makes them an invaluable genetic resource of novel allelic diversity that can be exploited to enhance the resilience of crops to marginal environments. The utilization of cotton landraces in breeding programs are constrained by the phenology of the plant and the lack of phenotypic information that can facilitate efficient selection of potential donor parents for breeding. In this review, the genetic value of cotton landraces and the major challenges in their utilization in breeding are discussed. Two strategies namely Focused Identification of Germplasm Strategy and Environmental Association Analysis that have been developed to effectively screen large germplasm collections for accessions with adaptive traits using geo-reference-based, mathematical modelling are highlighted. The potential applications of both approaches in mining available cotton landrace collections are also presented.

Entities:  

Keywords:  core collections; environmental association analysis; focused identification of germplasm strategy; landraces; landscape genomics

Year:  2021        PMID: 34206949     DOI: 10.3390/plants10071300

Source DB:  PubMed          Journal:  Plants (Basel)        ISSN: 2223-7747


  39 in total

1.  Conserved noncoding genomic sequences associated with a flowering-time quantitative trait locus in maize.

Authors:  Silvio Salvi; Giorgio Sponza; Michele Morgante; Dwight Tomes; Xiaomu Niu; Kevin A Fengler; Robert Meeley; Evgueni V Ananiev; Sergei Svitashev; Edward Bruggemann; Bailin Li; Christine F Hainey; Slobodanka Radovic; Giusi Zaina; J-Antoni Rafalski; Scott V Tingey; Guo-Hua Miao; Ronald L Phillips; Roberto Tuberosa
Journal:  Proc Natl Acad Sci U S A       Date:  2007-06-26       Impact factor: 11.205

Review 2.  Status and prospects of genome-wide association studies in plants.

Authors:  Laura Tibbs Cortes; Zhiwu Zhang; Jianming Yu
Journal:  Plant Genome       Date:  2021-01-13       Impact factor: 4.089

Review 3.  Abiotic and biotic stress combinations.

Authors:  Nobuhiro Suzuki; Rosa M Rivero; Vladimir Shulaev; Eduardo Blumwald; Ron Mittler
Journal:  New Phytol       Date:  2014-04-11       Impact factor: 10.151

4.  Climate-induced reduction in US-wide soybean yields underpinned by region- and in-season-specific responses.

Authors:  Spyridon Mourtzinis; James E Specht; Laura E Lindsey; William J Wiebold; Jeremy Ross; Emerson D Nafziger; Herman J Kandel; Nathan Mueller; Philip L Devillez; Francisco J Arriaga; Shawn P Conley
Journal:  Nat Plants       Date:  2015-02-02       Impact factor: 15.793

5.  The Genetics of Flowering Response in Cotton. I. Fruiting Behavior of Gossypium Hirsutum Var. Marie-Galante in a Cross with a Variety of Cultivated American Upland Cotton.

Authors:  C F Lewis; T R Richmond
Journal:  Genetics       Date:  1957-07       Impact factor: 4.562

6.  Xyloglucan Endotransglucosylase-Hydrolase17 Interacts with Xyloglucan Endotransglucosylase-Hydrolase31 to Confer Xyloglucan Endotransglucosylase Action and Affect Aluminum Sensitivity in Arabidopsis.

Authors:  Xiao Fang Zhu; Jiang Xue Wan; Ying Sun; Yuan Zhi Shi; Janet Braam; Gui Xin Li; Shao Jian Zheng
Journal:  Plant Physiol       Date:  2014-06-19       Impact factor: 8.340

7.  Arabidopsis DREB2A-interacting proteins function as RING E3 ligases and negatively regulate plant drought stress-responsive gene expression.

Authors:  Feng Qin; Yoh Sakuma; Lam-Son Phan Tran; Kyonoshin Maruyama; Satoshi Kidokoro; Yasunari Fujita; Miki Fujita; Taishi Umezawa; Yoriko Sawano; Ken-Ichi Miyazono; Masaru Tanokura; Kazuo Shinozaki; Kazuko Yamaguchi-Shinozaki
Journal:  Plant Cell       Date:  2008-06-13       Impact factor: 11.277

8.  Development of a 63K SNP Array for Cotton and High-Density Mapping of Intraspecific and Interspecific Populations of Gossypium spp.

Authors:  Amanda M Hulse-Kemp; Jana Lemm; Joerg Plieske; Hamid Ashrafi; Ramesh Buyyarapu; David D Fang; James Frelichowski; Marc Giband; Steve Hague; Lori L Hinze; Kelli J Kochan; Penny K Riggs; Jodi A Scheffler; Joshua A Udall; Mauricio Ulloa; Shirley S Wang; Qian-Hao Zhu; Sumit K Bag; Archana Bhardwaj; John J Burke; Robert L Byers; Michel Claverie; Michael A Gore; David B Harker; Md S Islam; Johnie N Jenkins; Don C Jones; Jean-Marc Lacape; Danny J Llewellyn; Richard G Percy; Alan E Pepper; Jesse A Poland; Krishan Mohan Rai; Samir V Sawant; Sunil Kumar Singh; Andrew Spriggs; Jen M Taylor; Fei Wang; Scott M Yourstone; Xiuting Zheng; Cindy T Lawley; Martin W Ganal; Allen Van Deynze; Iain W Wilson; David M Stelly
Journal:  G3 (Bethesda)       Date:  2015-04-22       Impact factor: 3.154

9.  Genome-environment associations in sorghum landraces predict adaptive traits.

Authors:  Jesse R Lasky; Hari D Upadhyaya; Punna Ramu; Santosh Deshpande; C Tom Hash; Jason Bonnette; Thomas E Juenger; Katie Hyma; Charlotte Acharya; Sharon E Mitchell; Edward S Buckler; Zachary Brenton; Stephen Kresovich; Geoffrey P Morris
Journal:  Sci Adv       Date:  2015-07-03       Impact factor: 14.136

10.  SoilGrids1km--global soil information based on automated mapping.

Authors:  Tomislav Hengl; Jorge Mendes de Jesus; Robert A MacMillan; Niels H Batjes; Gerard B M Heuvelink; Eloi Ribeiro; Alessandro Samuel-Rosa; Bas Kempen; Johan G B Leenaars; Markus G Walsh; Maria Ruiperez Gonzalez
Journal:  PLoS One       Date:  2014-08-29       Impact factor: 3.240

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