Predicting the future of plant breeding: complementing empirical evaluation with genetic prediction
By Mark Cooper, C. Messina, Dean W. Podlich, L. Totir, A. Baumgarten, N. Hausmann, Deanne L. Wright, G. Graham. Crop and Pasture Science, 2014
322 citations recorded by the source corpus.
Subfields: Genetics, Plant Science
View Paper: https://www.semanticscholar.org/paper/34976d57f98422907d892aaa0140016824defe4c
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
In Plant Science
- Jill E. Cairns
- G. Atlin
- M. Bänziger
- Mark Cooper
- C. Messina
- Jose Crossa
- Cosmos Magorokosho
- J. Schussler
Citations in the corpus
- Translating High-Throughput Phenotyping into Genetic Gain (2018, background): “Genetic gains achieved during the last few decades through conventional breeding have been, in part, associated with an expansion of phenotyping networks [20,61,62].”
- Industry-Scale Evaluation of Maize Hybrids Selected for Increased Yield in Drought-Stress Conditions of the US Corn Belt (2015, methodology): “However, a study conducted in managed environments where soil moisture measurements were collected down to a depth of 3.2 m demonstrated no differences in total water uptake between an AQUAmax hybrid and a nonAQUAmax commercial check hybrid (Cooper et al., 2014a).”
- Accelerating Genetic Gain in Sugarcane Breeding Using Genomic Selection (2020, methodology): “This practice is widely used in modern maize breeding [125].”
- Gains in Maize Genetic Improvement in Eastern and Southern Africa: I. CIMMYT Hybrid Breeding Pipeline (2017, background): “A key component of the success of plant breeding in the past century has been the increased scale of field testing crop science, vol. 57, january–february 2017 www.crops.org 175 (Cooper et al., 2014).”