Yield modeling for prediction of regional whole‐crop barley productivity-Reference-Cited by-同舟云学术

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Yield modeling for prediction of regional whole‐crop barley productivity

Published:2019-07 Issue:3 Volume:65 Page:179-188
ISSN:1744-6961
Container-title:Grassland Science
language:en
Short-container-title:Grassl Sci

Author:

Guan Leran¹,Peng Jinglun²^ORCID,Han Kunjun³,Sung Kyungil⁴

Affiliation:

1. Graduate School Kangwon National University Chuncheon Republic of Korea

2. Institute of Animal Resources Kangwon National University Chuncheon Republic of Korea

3. School of Plant, Environmental, and Soil Sciences Louisiana State University Baton Rouge Louisiana

4. College of Animal Life Sciences Kangwon National University Chuncheon Republic of Korea

Funder

National Research Foundation of Korea

Publisher

Wiley

Subject

Plant Science,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/grs.12233

Reference31 articles.

1. Compaction characteristics of barley, canola, oat and wheat straw

2. Effects of Moisture and Fertilizer on Yields of Spring Wheat and Barley 1

3. Biomass partitioning during the life cycle of saffron (Crocus sativus L.) using regression models

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1. Empirical Analysis of Crop Yield Prediction and Disease Detection Systems: A Statistical Perspective;ICT Infrastructure and Computing;2022-11-08

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