Datasets

subject: Yield components type: dataset

Total is 5 Results
Phosphorus and Potassium Influence on Alfalfa Nutrition

10.4231/D3251FJ7S

Jeffrey J. Volenec ORCID logo

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

Phosphorus and Potassium Influence on Alfalfa Nutrition

10.4231/PPKB-VK18

B. C. Joern , Jeffrey J. Volenec ORCID logo , K. D. Johnson , S. Lissbrant , Suzanne M Cunningham , Sylvie M. Brouder ORCID logo , 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

Genetic and environmental variation in alfalfa forage quality from variety testing experiments conducted in North America between 1986 and 1999

10.4231/02PR-9H36

Daniel Wiersma , Jeffrey Volenec ORCID logo , Stanislav Pejša ORCID logo , Sylvie Brouder ORCID logo , 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

Genetic Parameters and Multi-trait Genomic Prediction of Grain Yield on a Plot and Ear Basis in Temperate and Tropical Maize

10.4231/PQFT-7G59

Mitchell R Tuinstra ORCID logo , Seth A Tolley ORCID logo

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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