Protein, weight, and oil prediction by single‐seed near‐infrared spectroscopy for selection of seed quality and yield traits in pea ( Pisum sativum )-Reference-Cited by-同舟云学术

Protein, weight, and oil prediction by single‐seed near‐infrared spectroscopy for selection of seed quality and yield traits in pea ( Pisum sativum )

Published:2020-04-09 Issue:8 Volume:100 Page:3488-3497
ISSN:0022-5142
Container-title:Journal of the Science of Food and Agriculture
language:en
Short-container-title:J Sci Food Agric

Author:

Hacisalihoglu Gokhan¹^ORCID,Freeman Jelani¹,Armstrong Paul R.²^ORCID,Seabourn Brad W³,Porter Lyndon D⁴^ORCID,Settles A Mark⁵^ORCID,Gustin Jeffery L⁵^ORCID

Affiliation:

1. Biological Sciences Department Florida A&M University Tallahassee FL USA

2. USDA‐ARS Grain Marketing & Production Research Center Manhattan KS USA

3. USDA‐ARS Grain Quality & Structure Research Unit Manhattan KS USA

4. USDA‐ARS Grain Legume Genetics and Physiology Research Unit Prosser WA USA

5. Horticultural Sciences Department University of Florida Gainesville FL USA

Funder

Division of Integrative Organismal Systems

National Institute of Food and Agriculture

Publisher

Wiley

Subject

Nutrition and Dietetics,Agronomy and Crop Science,Food Science,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jsfa.10389

Reference32 articles.

1. Construction of high-density linkage maps for mapping quantitative trait loci for multiple traits in field pea (Pisum sativum L.)

2. Characterization of 169 diverse pea germplasm accessions for agronomic performance, Mycosphaerella blight resistance and nutritional profile

3. Seed yield and protein content in the Weibullsholm Pisum collection

4. Identification of quantitative trait loci for grain yield, seed protein concentration and maturity in field pea (Pisum sativum L.)

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