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1.
Sample size for detecting and estimating the proportion of transgenic plants with narrow confidence intervals by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Cambridge (United Kingdom) : Cambridge University Press, 2010
In: Seed Science Research v. 20, no. 2, p. 123-136
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1)Call number: CIS-6026.

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2.
Optimal sample size for estimating the proportion of transgenic plants using the Dorfman model with a random confidence interval by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Cambridge (United Kingdom) : Cambridge University Press, 2011
In: Seed Science Research v. 21, no. 3, p. 235-245
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1)Call number: CIS-6348.

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3.
Sample size under inverse negative binomial group testing for accuracy in parameter estimation by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: San Francisco, CA (USA) : Public Library of Science, 2012
In: PLoS ONE v. 7, no. 3, p. e32250
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1)Call number: CIS-6750.

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4.
Sample size with finite populations and imperfect diagnostic tests for pooled samples by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Bozeman, MT (USA) : Association of Official Seed Analysts, 2012
In: Seed Technology v. 34, no. 1, p. 61-77
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1)Call number: CIS-6770.

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5.
Sample size for detecting transgenic plants using inverse binomial group testing with dilution effect by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Cambridge (United Kingdom) : Cambridge University Press, 2013
In: Seed Science Research v. 23, no. 4, p. 279-288
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1)Call number: CIS-7451.

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6.
Genomic prediction models for count data by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Dordrecht (Netherlands) : Springer, 2015
In: Journal of Agricultural, Biological, and Environmental Statistics v. 20, no. 4, p. 533-554
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Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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7.
Genomic bayesian prediction model for count data with genotype X environment interaction by
Material type: Article Article; Type of continuing resource: periodical
Publication details: Bethesda, MD : Genetics Society of America, 2016
In: G3 v. 7, no. 2, p. 1165-1177
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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8.
A genomic bayesian multi-trait and multi-environment model by
Material type: Article Article; Type of continuing resource: periodical
Publication details: Bethesda, MD : Genetics Society of America, 2016
In: G3: Genes, Genomes, Genetics v. 6, no. 9, p. 2725-2744
Online resources:
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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9.
Predicting grain yield using canopy hyperspectral reflectance in wheat breeding data by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: London : BioMed Central, 2017
In: Plant methods v. 13, art. 4
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10.
A Bayesian Poisson-lognormal Model for count data for Multiple-Trait Multiple-Environment Genomic-Enabled prediction by
Material type: Article Article; Type of continuing resource: periodical
Publication details: Bethesda, MD : Genetics Society of America, 2017
In: G3: Genes, Genomes, Genetics v. 7, no. 5, p. 1595-1606
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11.
Genomic Bayesian functional regression models with interactions for predicting wheat grain yield using hyper‑spectral image data [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: United Kingdom : Biomed Central, 2017
In: Plant Methods v. 13, art. 62
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12.
Prediction of multiple-trait and multiple-environment genomic data using recommender systems [Electronic Resource] by
Material type: Article Article; Format: electronic ; Type of continuing resource: periodical
Language: English
Publication details: Bethesda, MD : Genetis Society of America, 2018
In: G3 v. 8, no. 1, p. 131-147
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13.
Bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: United Kingdom : BioMed Central, 2018
In: Plant Methods v. 14, art. 46
Availability: Items available for loan: CIMMYT Knowledge Center: John Woolston Library (1).

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14.
Bayesian functional regression as an alternative statistical analysis of high‑throughput phenotyping data of modern agriculture [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: London : BioMed Central, 2018
In: Plant Methods v. 14, art. 46
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15.
Correction to : bayesian functional regression as an alternative statistical analysis of high-throughput phenotyping data of modern agriculture [Electronic Resource] by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: United Kingdom : BioMed Central, 2018
In: Plant Methods v. 14, art. 57
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16.
An R package for multitrait and multienvironment data with the Item-based collaborative filtering algorithm by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Madison, U.S. : Crop Science Society of America, 2018
In: Plant Genome v. 11, no. 3, art. 180013
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17.
A singular value decomposition Bayesian multiple-trait and multiple-environment genomic model by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: United Kingdom : Springer, 2019
In: Heredity v. 122, p. 381-401
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18.
A benchmarking between deep learning, support vector machine and bayesian threshold best linear unbiased prediction for predicting ordinal traits in plant breeding by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Bethesda, MD : Genetics Society of America, 2019
In: G3: Genes, Genomes, Genetics v. 9, no. 2, p. 601-618
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19.
Modeling genotype × environment interaction using a factor analytic model of on-farm wheat trials in the Yaqui Valley of Mexico by
Material type: Article Article; Format: print
Language: English
Publication details: Madison, WI (USA) : American Society of Agronomy, 2019
In: Agronomy Journal v. 111, no. 6, p. 2647-2657
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20.
An R Package for Bayesian analysis of multi-environment and multi-trait multi-environment data for genome-based prediction by
Material type: Article Article; Type of continuing resource: periodical
Language: English
Publication details: Bethesda, MD (USA) : Genetics Society of America, 2019
In: G3 : genes - genomes - genetics v. 9, no. 5, p. 1355-1369
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