Diversity characterization and association analysis of agronomic traits in a Chinese peanut (Arachis hypogaea L.) mini-core collection

2014 ◽  
Vol 56 (2) ◽  
pp. 159-169 ◽  
Author(s):  
Huifang Jiang ◽  
Li Huang ◽  
Xiaoping Ren ◽  
Yuning Chen ◽  
Xiaojing Zhou ◽  
...  
Keyword(s):  
Arachis Hypogaea ◽  
Association Analysis ◽  
Core Collection ◽  
Agronomic Traits ◽  
Mini Core Collection ◽  
Arachis Hypogaea L

Population structure and marker–trait association analysis of the US peanut (Arachis hypogaea L.) mini-core collection

2011 ◽  
Vol 123 (8) ◽  
pp. 1307-1317 ◽  
Author(s):  
Ming Li Wang ◽  
Sivakumar Sukumaran ◽  
Noelle A. Barkley ◽  
Zhenbang Chen ◽  
Charles Y. Chen ◽  
...  
Keyword(s):  
Population Structure ◽  
Arachis Hypogaea ◽  
Association Analysis ◽  
Core Collection ◽  
Trait Association ◽  
Mini Core Collection ◽  
Arachis Hypogaea L ◽  
The Us

scholarly journals Resistance to late leaf spot and rust diseases in ICRISAT’s mini core collection of peanut (Arachis hypogaea L.)

2015 ◽  
Vol 44 (5) ◽  
pp. 557-566 ◽  
Author(s):  
H. Sudini ◽  
Hari D. Upadhyaya ◽  
S. V. Reddy ◽  
U. Naga Mangala ◽  
A. Rathore ◽  
...  
Keyword(s):  
Arachis Hypogaea ◽  
Leaf Spot ◽  
Core Collection ◽  
Late Leaf Spot ◽  
Mini Core Collection ◽  
Rust Diseases ◽  
Arachis Hypogaea L

Association Analysis of Agronomic Traits and Resistance to Aspergillus flavus in the ICRISAT Peanut Mini-Core Collection

2013 ◽  
Vol 38 (6) ◽  
pp. 935-946 ◽  
Author(s):  
Li HUANG ◽  
Xiao-Ping REN ◽  
Xiao-Jie ZHANG ◽  
Yu-Ning CHEN ◽  
Hui-Fang JIANG
Keyword(s):  
Association Analysis ◽  
Aspergillus Flavus ◽  
Core Collection ◽  
Agronomic Traits ◽  
Mini Core Collection

scholarly journals Phenotypic and molecular dissection of ICRISAT mini core collection of peanut (Arachis hypogaea L.) for high oleic acid

2012 ◽  
Vol 131 (3) ◽  
pp. 418-422 ◽  
Author(s):  
Ganapati Mukri ◽  
Hajisaheb L. Nadaf ◽  
Ramesh S. Bhat ◽  
M. V. C. Gowda ◽  
Hari D. Upadhyaya ◽  
...  
Keyword(s):  
Oleic Acid ◽  
Arachis Hypogaea ◽  
Core Collection ◽  
Molecular Dissection ◽  
High Oleic Acid ◽  
High Oleic ◽  
Mini Core Collection ◽  
Arachis Hypogaea L

scholarly journals Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods

2020 ◽  
Author(s):  
Shuai Liu ◽  
Hua Zhong ◽  
Xiaoxi Meng ◽  
Tong Sun ◽  
Yangsheng Li ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Candidate Genes ◽  
Metal Contamination ◽  
Core Collection ◽  
Heavy Metal Contamination ◽  
Agronomic Traits ◽  
Association Studies ◽  
P Value ◽  
Genome Wide Association Studies ◽  
Mini Core Collection

Abstract BackgroundRice is an important human staple food vulnerable to heavy metal contamination leading to serious concerns. High yield with low heavy metal contamination is a common but highly challenging goal for rice breeders worldwide due to lack of genetic knowledge and markers. ResultsTo identify candidate QTLs and develop molecular markers for rice yield and heavy metal content, a total of 191 accessions from the USDA Rice mini-core collection with over 3.2 million SNPs were employed to investigate the QTLs. Sixteen ionomic and thirteen agronomic traits were analyzed utilizing two univariate (GLM and MLM) and two multivariate (MLMM and FarmCPU) GWAS methods. 106, 47, and 97 QTLs were identified for ionomics flooded, ionomics unflooded, and agronomic traits, respectively, with the criterium of p-value <1.53×10-8, which was determined by the Bonferroni correction for p-value of 0.05. While 49 (~20%) of the 250 QTLs were coinciding with previous reported QTLs/genes, about 201 (~80%) were new. In addition, several new candidate genes involved in ionomic and agronomic traits control were identified by analyzing the DNA sequence, gene expression, and the homologs of the QTL regions. Our results further showed that each of the four GWAS methods can identify unique as well as common QTLs, suggesting that using multiple GWAS methods can complement each other in QTL identification, especially by combining univariate and multivariate methods. ConclusionsWhile 49 previously reported QTLs/genes were rediscovered, over 200 new QTLs for ionomic and agronomic traits were found in the rice genome. Moreover, multiple new candidate genes for agronomic and ionomic traits were identified. This research provides novel insights into the genetic basis of both ionomic and agronomic variations in rice, establishing the foundation for marker development in breeding and further investigation on reducing heavy-metal contamination and improving crop yields. Finally, the comparative analysis of the GWAS methods showed that each method has unique features and different methods can complement each other.

scholarly journals Genetic analysis of some agronomic traits in groundnut (Arachis hypogaea L.)

2014 ◽  
Vol 3 (2) ◽  
pp. 31-35
Author(s):  
MK Alam ◽  
UK Nath ◽  
MAK Azad ◽  
MA Alam ◽  
AA Khan
Keyword(s):  
Arachis Hypogaea ◽  
Harvest Index ◽  
Agronomic Traits ◽  
Kernel Weight ◽  
Narrow Sense Heritability ◽  
Additive Variance ◽  
Gene Effects ◽  
Degree Of Dominance ◽  
Arachis Hypogaea L ◽  
Additive Gene

A 10×10 half diallel experiment was conducted on groundnut (Arachis hypogaea L.) to ascertain the gene action and genetic parameters of ten traits including 50% flowering, no. of pods per plant, plant height, harvest index, pod index, 100 pod weight, 100 kernel weight, pod size, diseases infection and yield per plot. The experiments were carried out in the Department of Genetics and Plant Breeding, Bangladesh Agricultural University (BAU), Mymensingh during the cropping season of 2010-2011. The estimates of gene effects indicated that significance of both additive and non-additive variance for pod size, 100 pod weight and diseases infection among the traits and presence of over dominance satisfying assumptions of diallel except dormancy. However, both the additive and non-additive gene affects together importance to control of most quantitative traits in the groundnut. The average degree of dominance (H1/D) 1/2 (H1 = dominance variance, D = additive variance) was higher than one, indicating over dominance for all the traits. The narrow-sense heritability was high for 50% flowering (38%), harvest index (35%), pod size (52%), 100 pod weight (35%) and yield per plot (41%) indicating that great genetic gain could be achieved for them. DOI: http://dx.doi.org/10.3329/ijarit.v3i2.17841 Int. J. Agril. Res. Innov. & Tech. 3 (2): 31-35, December, 2013

scholarly journals Genomic tools and germplasm diversity for chickpea improvement

2011 ◽  
Vol 9 (01) ◽  
pp. 45-58 ◽  
Author(s):  
Hari D. Upadhyaya ◽  
Mahendar Thudi ◽  
Naresh Dronavalli ◽  
Neha Gujaria ◽  
Sube Singh ◽  
...  
Keyword(s):  
Core Collection ◽  
Large Scale ◽  
Agronomic Traits ◽  
Genetic Maps ◽  
Genetic Enhancement ◽  
Grain Legume ◽  
Genomic Resources ◽  
Mini Core Collection ◽  
Reference Set ◽  
Germplasm Accessions

Chickpea is the third most important grain legume grown in the arid and semi-arid regions of the world. In spite of vast germplasm accessions available in different genebanks, there has been very limited use of these accessions in genetic enhancement of chickpea. However, in recent years, specialized germplasm subsets such as global composite collection, core collection, mini core collection and reference set have been developed. In parallel, significant genomic resources such as molecular markers including simple sequence repeats (SSRs), single nucleotide polymorphisms (SNPs), diversity arrays technology (DArT) and transcript sequences, e.g. expressed sequence tags, short transcript reads, have been developed. By using SSR, SNP and DArT markers, integrated genetic maps have been developed. It is anticipated that the use of genomic resources and specialized germplasm subsets such as mini core collection and reference set will facilitate identification of trait-specific germplasm, trait mapping and allele mining for resistance to biotic and abiotic stresses and for agronomic traits. Advent of the next generation sequencing technologies coupled with advances in bioinformatics offers the possibility of undertaking large-scale sequencing of germplasm accessions so that modern breeding approaches such as genomic selection and breeding by design can be realized in near future for chickpea improvement.

Phenotypic evaluation of the Chinese mini-mini core collection of peanut (Arachis hypogaea L.) and assessment for resistance to bacterial wilt disease caused by Ralstonia solanacearum

2012 ◽  
Vol 11 (1) ◽  
pp. 77-83 ◽  
Author(s):  
Huifang Jiang ◽  
Xiaoping Ren ◽  
Yuning Chen ◽  
Li Huang ◽  
Xiaojing Zhou ◽  
...  
Keyword(s):  
Arachis Hypogaea ◽  
Bacterial Wilt ◽  
Ralstonia Solanacearum ◽  
Core Collection ◽  
Morphological Traits ◽  
Wilt Disease ◽  
Sequencing Project ◽  
Bacterial Wilt Disease ◽  
The Core ◽  
Mini Core Collection

In order to utilize germplasm resources more efficiently for peanut (Arachis hypogaea L.) genetic improvement, a core collection of 576 accessions and a primary mini core collection of 298 accessions were developed previously from a collection of 6839 cultivated peanut lines stored at the Oil Crops Research Institute of Chinese Academy of Agricultural Sciences at Wuhan. For an efficient evaluation and characterization of the most useful agronomic and disease-resistant traits, an even smaller collection of peanut accessions that represent a spectrum of phenotypes could be more desirable. For this reason, a mini-mini core collection with 99 accessions from the core accessions was developed based on the analysis of 21 morphological traits. It was demonstrated that there were no significant differences between the core and mini-mini core collections in 20 out of the 21 morphological traits studied. Further, the mini-mini core collection captured the ranges of all of the 21 traits displayed in the core collection. The newly developed mini-mini core collection was assessed for resistance to bacterial wilt disease caused by Ralstonia solanacearum. Two accessions showing a high level of resistance to bacterial wilt were identified, demonstrating the usefulness of the mini-mini core collection. The mini-mini-core collection provides a more efficient means of germplasm evaluation and will be resequenced as part of the International Peanut Genome Consortium sequencing project at the UC-Davis Genome Center.

Marker–trait association analysis of kernel hardness and related agronomic traits in a core collection of wheat lines

2014 ◽  
Author(s):  
Guomei Wang ◽  
Jeffrey M. Leonard ◽  
Jari von Zitzewitz ◽  
C. James Peterson ◽  
Andrew S. Ross ◽  
...  
Keyword(s):  
Association Analysis ◽  
Core Collection ◽  
Agronomic Traits ◽  
Kernel Hardness ◽  
Trait Association ◽  
Wheat Lines
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