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Showing results (91-100 of 99) with videos related to

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G3 (Bethesda, Md.)|November 23, 2012
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environmentsVanessa S Windhausen, Gary N Atlin, John M Hickey, et al.
Scientific Reports|August 5, 2018
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpeaManish Roorkiwal, Diego Jarquin, Muneendra K Singh, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|July 2, 2020
Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testingNan Wang, Hui Wang, Ao Zhang, et al.
Frontiers in Plant Science|December 7, 2016
Genome-Enabled Prediction Models for Yield Related Traits in ChickpeaManish Roorkiwal, Abhishek Rathore, Roma R Das, et al.
Frontiers in Plant Science|March 20, 2024
Deep learning methods improve genomic prediction of wheat breedingAbelardo Montesinos-López, Leonardo Crespo-Herrera, Susanna Dreisigacker, et al.
Genes|November 27, 2021
Juvenile Heat Tolerance in Wheat for Attaining Higher Grain Yield by Shifting to Early Sowing in October in South AsiaUttam Kumar, Ravi Prakash Singh, Susanne Dreisigacker, et al.
Frontiers in Plant Science|April 16, 2020
Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South AsiaNicholas Santantonio, Sikiru Adeniyi Atanda, Yoseph Beyene, et al.
Scientific Reports|August 23, 2018
Harnessing genetic potential of wheat germplasm banks through impact-oriented-prebreeding for future food and nutritional securitySukhwinder Singh, Prashant Vikram, Deepmala Sehgal, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 10

Showing results (91-100 of 99) with videos related to

Sort By:
Pageof 10
You have reached the last page of results.This site can display upto 99 results.
G3 (Bethesda, Md.)|November 23, 2012
Effectiveness of genomic prediction of maize hybrid performance in different breeding populations and environmentsVanessa S Windhausen, Gary N Atlin, John M Hickey, et al.
Scientific Reports|August 5, 2018
Genomic-enabled prediction models using multi-environment trials to estimate the effect of genotype × environment interaction on prediction accuracy in chickpeaManish Roorkiwal, Diego Jarquin, Muneendra K Singh, et al.
TAG. Theoretical and Applied Genetics. Theoretische Und Angewandte Genetik|July 2, 2020
Genomic prediction across years in a maize doubled haploid breeding program to accelerate early-stage testcross testingNan Wang, Hui Wang, Ao Zhang, et al.
Frontiers in Plant Science|December 7, 2016
Genome-Enabled Prediction Models for Yield Related Traits in ChickpeaManish Roorkiwal, Abhishek Rathore, Roma R Das, et al.
Frontiers in Plant Science|March 20, 2024
Deep learning methods improve genomic prediction of wheat breedingAbelardo Montesinos-López, Leonardo Crespo-Herrera, Susanna Dreisigacker, et al.
Genes|November 27, 2021
Juvenile Heat Tolerance in Wheat for Attaining Higher Grain Yield by Shifting to Early Sowing in October in South AsiaUttam Kumar, Ravi Prakash Singh, Susanne Dreisigacker, et al.
Frontiers in Plant Science|April 16, 2020
Strategies for Effective Use of Genomic Information in Crop Breeding Programs Serving Africa and South AsiaNicholas Santantonio, Sikiru Adeniyi Atanda, Yoseph Beyene, et al.
Scientific Reports|August 23, 2018
Harnessing genetic potential of wheat germplasm banks through impact-oriented-prebreeding for future food and nutritional securitySukhwinder Singh, Prashant Vikram, Deepmala Sehgal, et al.
Global Change Biology|August 26, 2024
Wheat genetic resources have avoided disease pandemics, improved food security, and reduced environmental footprints: A review of historical impacts and future opportunitiesJulie King, Susanne Dreisigacker, Matthew Reynolds, et al.
Pageof 10