plant breeding

Low-cost nitrate sensors to populate genotype-informed yield prediction models for next generation breeders

Our civilization depends on continuously increasing levels of agricultural productivity, which itself depends on (among other things) the interplay of crop varieties and the environments in which these varieties are grown. Hence, to increase agricultural productivity and yield stability, it is necessary to develop improved crop varieties that deliver ever more yield, even under the variable weather conditions induced by global climate change, all the while minimizing the use of inputs such as fertilizers that are limiting, expensive or have undesirable ecological impacts.

Development and Evaluation of Improved Strategies for Genomic Selection Via Simulations and Empirical Testing

The overall goal of the proposed project is to increase the efficiency of crop breeding programs by developing and deploying improved genomic selection strategies that rely on improvements in the selection and mating steps.As a consequence of growing populations, changing diets, and the challenges of climate change, agricultural systems must produce more with less. More means greater demand for agricultural products such as food, feed, energy and fiber.

Patrick Mireku
Graduate Assistant-Research
Jinyu Wang
Graduate Assistant-Research
Qi Mu
Qi Mu
Graduate Assistant-Research
James P McNellie
Graduate Assistant-Research
Jialu Wei
Graduate Assistant-Research
Matthew J Dzievit
Graduate Assistant-Research
Benjamin T Trampe
Graduate Assistant-Research
Dr. Tingting Guo
Postdoc Research Associate

Pages

Subscribe to RSS - plant breeding