1995
DOI: 10.1016/0378-4290(95)00037-q
|View full text |Cite
|
Sign up to set email alerts
|

Model analysis of temperature and solar radiation limitations to maize potential productivity in a cool climate

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
52
0
2

Year Published

1996
1996
2023
2023

Publication Types

Select...
9
1

Relationship

0
10

Authors

Journals

citations
Cited by 122 publications
(55 citation statements)
references
References 31 publications
1
52
0
2
Order By: Relevance
“…Confirming the key measure to guarantee high yield is to ensure grain maturity before early autumn freezing with the maximum use of accumulated temperature [42]. Moreover, the decreasing solar radiation and light interception together with low temperature in latter growth stages exerted adverse effect on yield formation for the late sowing maize [18,43].…”
Section: Discussionmentioning
confidence: 99%
“…Confirming the key measure to guarantee high yield is to ensure grain maturity before early autumn freezing with the maximum use of accumulated temperature [42]. Moreover, the decreasing solar radiation and light interception together with low temperature in latter growth stages exerted adverse effect on yield formation for the late sowing maize [18,43].…”
Section: Discussionmentioning
confidence: 99%
“…Studies attempting to understand maize yield potential and its variation in relation to environmental factors have highlighted the crucial role of solar radiation and temperature (Muchow, 1989;Cirilo and Andrade, 1994;Otegui et al, 1996). A few studies have attempted to quantify yield potential and its variation at a regional scale using observed data (Duncan et al, 1973;Andrade et al, 1996) and simulation modeling (Hodges et al, 1987;Muchow et al, 1990;Wilson et al, 1995;Löffler et al, 2005). In all of these studies, maize yields were evaluated against mean meteorological variables for the entire growing season rather than specific growth phases that are most sensitive to environmental limitations (Otegui and Bonhomme, 1998).…”
Section: Introductionmentioning
confidence: 99%
“…The DMY results of the model was evaluated using results of a field experiment conducted at University Putra Malaysia (UPM) (3°02'N and 101°42'E; 31 m above sea level) using the Mean Absolute Error (MAE) and Mean Deviation (MD) analysis [19,20] shown as Eq. 5 and 6 respectively.…”
Section: Methodsmentioning
confidence: 99%