Use of linear regression and correlation matrix in the evaluation of CERES3 (Maize)-Reference-Cited by-同舟云学术

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Use of linear regression and correlation matrix in the evaluation of CERES3 (Maize)

Published:1997-01 Issue:4 Volume:14 Page:177-182
ISSN:0257-1862
Container-title:South African Journal of Plant and Soil
language:en
Short-container-title:South African Journal of Plant and Soil

Author:

du Toit A. S.¹,Booysen J.²,Human J. J.³

Affiliation:

1. a ARC-Grain Crops Institute , Private Bag X1251, Potchefstroom , 2520 , South Africa

2. b PU vir CHO, Navorsingsinstituut vir Hervestigingsekologie , Private Bag X6001, Potchefstroom , 2520 , South Africa

3. c UOVS, Department of Agronomy , P.O. Box 339, Bloemfontein , 9300 , South Africa

Publisher

Informa UK Limited

Subject

Plant Science,Soil Science,Ecology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02571862.1997.10635104

Reference20 articles.

1. Water Deficit Affects Receptivity of Maize Silks

2. Testing the CERES-Maize simulation model in a semi-arid tropical environment

3. Preliminary evaluation of two maize (Zea mays L.) growth-simulation models

4. Evaluering en kalibrering van CERES-Maize: 3. Rywydtes in die westelike Hoëveld

5. A quantitative measure of model validation and its potential use for regulatory purposes

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2. Crop model usefulness in drylands of southern Africa: an application of DSSAT;South African Journal of Plant and Soil;2015-03-26

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4. Climate change impacts on agro-ecosystem sustainability across three climate regions in the maize belt of South Africa;Agriculture, Ecosystems & Environment;2008-03

5. An assessment of sustainable maize production under different management and climate scenarios for smallholder agro-ecosystems in KwaZulu-Natal, South Africa;Physics and Chemistry of the Earth, Parts A/B/C;2006-01

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