Whole crop maize yield modeling based on regional climatic data considering cultivar maturity grouping
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Title
Whole crop maize yield modeling based on regional climatic data considering cultivar maturity grouping
Authors
Keywords
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Journal
GRASSLAND SCIENCE
Volume 69, Issue 4, Pages 268-276
Publisher
Wiley
Online
2023-07-17
DOI
10.1111/grs.12412
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Note: Only part of the references are listed.- Addressing the yield gap in rainfed crops: a review
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- (2013) Wenjiao Shi et al. Journal of Geographical Sciences
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