Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea

scientific article published in Scientific Reports

Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1038/S41598-018-30027-2
P932PMC publication ID6076323
P698PubMed publication ID30076340

P50authorRajeev Kumar VarshneyQ7285945
Pooran M GaurQ57110610
Manish RoorkiwalQ58642661
Abhishek RathoreQ58895997
Vanika GargQ58896017
Kelly R RobbinsQ59693510
Diego JarquinQ61903138
Annapurna ChitikineniQ95147116
José CrossaQ42395398
P2093author name stringShailesh Tripathi
Elizabeth Jones
Ankit Jain
Sandip Kale
Muneendra K Singh
Samineni Srinivasan
Chellapilla Bharadwaj
Reka Howard
P2860cites workNovel SSR markers from BAC-end sequences, DArT arrays and a comprehensive genetic map with 1,291 marker loci for chickpea (Cicer arietinum L.)Q21134966
Exciting journey of 10 years from genomes to fields and markets: Some success stories of genomics-assisted breeding in chickpea, pigeonpea and groundnutQ26777162
Genomics-assisted breeding for crop improvementQ26810026
Breeding schemes for the implementation of genomic selection in wheat (Triticum spp.)Q27011867
Fast gapped-read alignment with Bowtie 2Q27860699
A robust, simple genotyping-by-sequencing (GBS) approach for high diversity speciesQ29616249
Prediction of total genetic value using genome-wide dense marker mapsQ29619613
A reaction norm model for genomic selection using high-dimensional genomic and environmental dataQ30714814
Genomic prediction models for grain yield of spring bread wheat in diverse agro-ecological zonesQ31108596
Accuracy of predicting the genetic risk of disease using a genome-wide approachQ33375729
Bridging the gap between marker-assisted and genomic selection of heading time and plant height in hybrid wheatQ33621668
Parametric and nonparametric statistical methods for genomic selection of traits with additive and epistatic genetic architecturesQ33784925
Using genotyping-by-sequencing (GBS) for genomic discovery in cultivated oat.Q33928058
Genomic selection in plant breeding: from theory to practiceQ34098848
Predicting hybrid performance in rice using genomic best linear unbiased predictionQ34119981
Prediction of genetic values of quantitative traits in plant breeding using pedigree and molecular markers.Q34196431
Nutritional quality and health benefits of chickpea (Cicer arietinum L.): a reviewQ34295563
Genome-wide regression and prediction with the BGLR statistical packageQ34336617
Nutritional quality of microwave-cooked and pressure-cooked legumesQ34402154
The future of livestock breeding: genomic selection for efficiency, reduced emissions intensity, and adaptationQ34520518
Training set optimization under population structure in genomic selection.Q34807743
Single nucleotide polymorphism genotyping: biochemistry, protocol, cost and throughputQ35127374
Reproducing kernel Hilbert spaces regression: a general framework for genetic evaluation.Q51940648
Genomic Selection in Plant Breeding: Methods, Models, and Perspectives.Q52481345
Chickpeas (Cicer arietinum L.) in animal nutrition: A reviewQ56093581
Prospects for Genomewide Selection for Quantitative Traits in MaizeQ57240692
A Pedigree-Based Reaction Norm Model for Prediction of Cotton Yield in Multienvironment TrialsQ58895989
Genomic Prediction of Breeding Values when Modeling Genotype × Environment Interaction using Pedigree and Dense Molecular MarkersQ58896036
Marker-Assisted Backcrossing to Introgress Resistance to Fusarium Wilt Race 1 and Ascochyta Blight in C 214, an Elite Cultivar of ChickpeaQ61900523
Genotyping-by-sequencing based intra-specific genetic map refines a ''QTL-hotspot" region for drought tolerance in chickpeaQ35182648
Whole genome re-sequencing reveals genome-wide variations among parental lines of 16 mapping populations in chickpea (Cicer arietinum L.).Q35907622
Whole-genome regression and prediction methods applied to plant and animal breedingQ36596450
Isolation and characterization of novel microsatellite markers and their application for diversity assessment in cultivated groundnut (Arachis hypogaea).Q36703534
Genomic Selection in Multi-environment Crop TrialsQ36867910
Predicting quantitative traits with regression models for dense molecular markers and pedigreeQ37173407
Recent breeding programs enhanced genetic diversity in both desi and kabuli varieties of chickpea (Cicer arietinum L.).Q37508653
Genomic selection in livestock populationsQ37856459
Genomic selection: genome-wide prediction in plant improvementQ38223734
Genomic Selection in the Era of Next Generation Sequencing for Complex Traits in Plant BreedingQ38771067
Genome-Enabled Prediction Models for Yield Related Traits in ChickpeaQ39128043
Does genomic selection have a future in plant breeding?Q39381114
TASSEL: software for association mapping of complex traits in diverse samplesQ39512996
Draft genome sequence of chickpea (Cicer arietinum) provides a resource for trait improvementQ39554631
Genome-wide association and genomic selection in animal breedingQ39817338
Sequence- vs. chip-assisted genomic selection: accurate biological information is advised.Q40450696
Potential of genotyping-by-sequencing for genomic selection in livestock populations.Q41050750
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environmentsQ41620664
Efficient methods to compute genomic predictionsQ46643131
P275copyright licenseCreative Commons Attribution 4.0 InternationalQ20007257
P6216copyright statuscopyrightedQ50423863
P433issue1
P407language of work or nameEnglishQ1860
P304page(s)11701
P577publication date2018-08-03
P1433published inScientific ReportsQ2261792
P1476titleGenomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpea
P478volume8