subject: Yield components type: dataset
10.4231/02PR-9H36
Daniel Wiersma , Jeffrey Volenec , Stanislav Pejša , Sylvie Brouder , Wayne G. Hartman
06/15/2020
The dataset contains data used to analyze genetic and environmental effects on alfalfa forage quality and corresponding forage yield. Data were compiled from variety tests conducted by University researchers in the US and Canada from 1986 through...
acid detergent fiber ADF Agronomy Alfalfa alfalfa_db crude protein digestibility Forage quality genetic variation Lucerne Medicago NDF neutral detergent fiber Nutritive value variety Yield components
10.4231/D3251FJ7S
02/22/2012
Data from several studies on the influence of phosphorus and potassium nutrition on alfalfa. It includes numeric data such as yield, plant mass, plant counts, and tissue concentration of various nutrients
Agronomy Crop Science Forage legumes Nutritive value Soil Fertility Soil Science Winter hardiness Yield components
10.4231/PPKB-VK18
B. C. Joern , Jeffrey J. Volenec , K. D. Johnson , S. Lissbrant , Suzanne M Cunningham , Sylvie M. Brouder , W. K. Berg
05/27/2020
Data from several studies on the influence of phosphorus and potassium nutrition on alfalfa. It includes numeric data such as yield, plant mass, plant counts, and tissue concentration of various nutrients
Agronomy Crop Science Forage legumes Nutritive value Soil Fertility Soil Science Winter hardiness Yield components
10.4231/5BQ9-2V23
Jeffrey J. Volenec , Suzanne M. Cunningham , Sylvie M. Brouder , W. Kess Berg
08/13/2021
Concentrations of sugar, starch, protein, amino N, and RNA change in alfalfa taproots as plants acclimate for winter and when shoot growth resumes in spring. The direction and extent of these changes are altered by phosphorus and potassium...
Agriculture Agronomy Alfalfa Amino Acid growth Medicago Nonstructural carbohydrates Phosphorus Fertilizer Plant persistence Potassium Fertilizer Protein Roots Shoot growth Starch reserves Sugar reserves Winter hardiness Yield components
10.4231/PQFT-7G59
Mitchell R Tuinstra , Seth A Tolley
05/02/2023
The objective of this study was to assess genetic parameters and perform single- and multi-trait genomic prediction of grain yield and yield components assessed through ear photometry in three testcross populations of either temperate or tropical descent.
Ear Photometry Ear photometry in maize testcrosses Genomic Prediction Grain Yield Maize Multi-Trait Genomic Prediction Single-Trait Genomic Prediction Temperate Germplasm Tropical Germplasm Yield components
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