Harnessing crop wild diversity for climate change adaptation
AJ Cortés, F López-Hernández - Genes, 2021 - mdpi.com
Warming and drought are reducing global crop production with a potential to substantially
worsen global malnutrition. As with the green revolution in the last century, plant genetics …
worsen global malnutrition. As with the green revolution in the last century, plant genetics …
Genetic dissection of hybrid performance and heterosis for yield-related traits in maize
Heterosis contributes a big proportion to hybrid performance in maize, especially for grain
yield. It is attractive to explore the underlying genetic architecture of hybrid performance and …
yield. It is attractive to explore the underlying genetic architecture of hybrid performance and …
[HTML][HTML] Genetic dissection of grain yield of maize and yield-related traits through association mapping and genomic prediction
J Ma, Y Cao - Frontiers in Plant Science, 2021 - frontiersin.org
High yield is the primary objective of maize breeding. Genomic dissection of grain yield and
yield-related traits contribute to understanding the yield formation and improving the yield of …
yield-related traits contribute to understanding the yield formation and improving the yield of …
Multi-omics-based prediction of hybrid performance in canola
D Knoch, CR Werner, RC Meyer, D Riewe… - Theoretical and Applied …, 2021 - Springer
Key message Complementing or replacing genetic markers with transcriptomic data and use
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
of reproducing kernel Hilbert space regression based on Gaussian kernels increases hybrid …
Training set designs for prediction of yield and moisture of maize test cross hybrids with unreplicated trials
J Terraillon, FK Roeber, C Flachenecker… - Frontiers in Plant …, 2023 - frontiersin.org
Unreplicated field trials and genomic prediction are both used to enhance the efficiency in
early selection stages of a hybrid maize breeding program. No results are available on the …
early selection stages of a hybrid maize breeding program. No results are available on the …
[PDF][PDF] Nuevo híbrido trilineal de maíz amarillo duro para el trópico peruano
P Díaz-Chuquizuta, E Hidalgo-Melendez… - Agronomía …, 2023 - scielo.sa.cr
Introducción. El maíz amarillo duro (Zea mays L.) es fuente principal para elaborar
alimentos, por lo que se requiere generar híbridos con rendimientos superiores a 2, 8 t ha-1 …
alimentos, por lo que se requiere generar híbridos con rendimientos superiores a 2, 8 t ha-1 …
Comparativo de rendimiento en híbridos nacionales e internacionales de maíz bajo condiciones del valle de Pativilca, Lima, Perú
NH Fabián, DB Luis, RH Tirado - Peruvian Agricultural …, 2020 - revistas.unjfsc.edu.pe
Objetivos: Evaluar el efecto de híbridos nacionales frente a híbridos internacionales de maíz
amarillo duro bajo las condiciones del valle de Pativilca, Lima, Perú. Metodología: El …
amarillo duro bajo las condiciones del valle de Pativilca, Lima, Perú. Metodología: El …
Choosing the right tool: Leveraging of plant genetic resources in wheat (Triticum aestivum L.) benefits from selection of a suitable genomic prediction model
Key message Genomic prediction of genebank accessions benefits from the consideration
of additive-by-additive epistasis and subpopulation-specific marker effects. Abstract Wheat …
of additive-by-additive epistasis and subpopulation-specific marker effects. Abstract Wheat …
Genome-wide association analysis for grain moisture content and dehydration rate on maize hybrids
Y Dong, Z Feng, F Ye, T Li, G Li, ZS Li, Y Hao… - Molecular …, 2023 - Springer
For mechanized maize production, a low grain water content (GWC) at harvest is necessary.
However, as a complex quantitative trait, understand the genetic mechanism of GWC …
However, as a complex quantitative trait, understand the genetic mechanism of GWC …
Integrating genomic prediction and genotype specific parameter estimation in ecophysiological models: overview and perspectives
Abstract The Genome-to-Phenome (G2P) problem is one of the highest-priority challenges
in applied biology. Ecophysiological crop models (ECM) and genomic prediction (GP) …
in applied biology. Ecophysiological crop models (ECM) and genomic prediction (GP) …