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You searched for: Subject "Poa secunda" Remove constraint Subject: "Poa secunda" Journal Annals of botany Remove constraint Journal: Annals of botany
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1. Predicting Germination Response to Temperature. III. Model Validation Under Field-variable Temperature Conditions

Author:
Hardegree, S.P.
Source:
Annals of botany 2006 v.98 no.4 pp. 827
ISSN:
0305-7364
Subject:
Poa secunda,   etc   ; seed germination; temperature; Elymus elymoides; Elymus lanceolatus; estimation; models; accuracy; prediction; grasses; field experimentation; Pseudoroegneria spicata; Idaho;     Show all 13 Subjects
Abstract:
... BACKGROUND: and Aims Two previous papers in this series evaluated model fit of eight thermal-germination models parameterized from constant-temperature germination data. The previous studies determined that model formulations with the fewest shape assumptions provided the best estimates of both germination rate and germination time. The purpose of this latest study was to evaluate the accuracy and ...
Handle:
10113/10548
DOI:
10.1093/aob/mcl163
PubMed:
16870642
PubMed Central:
PMC2806169

2. Predicting Germination Response to Temperature. II. Three-dimensional Regression, Statistical Gridding and Iterative-probit Optimization Using Measured and Interpolated-subpopulation Data

Author:
Hardegree, S.P.; Winstral, A.H.
Source:
Annals of botany 2006 v.98 no.2 pp. 403
ISSN:
0305-7364
Subject:
Poa secunda,   etc   ; Pseudoroegneria spicata; seed germination; temperature; regression analysis; probit analysis; optimization; models; accuracy; equations; Elymus lanceolatus; Elymus elymoides;     Show all 12 Subjects
Abstract:
... BACKGROUND: and Aims Most current thermal-germination models are parameterized with subpopulation-specific rate data, interpolated from cumulative-germination-response curves. The purpose of this study was to evaluate the relative accuracy of three-dimensional models for predicting cumulative germination response to temperature. Three-dimensional models are relatively more efficient to implement t ...
Handle:
10113/10547
DOI:
10.1093/aob/mcl112
PubMed:
16735412
PubMed Central:
PMC2803456

3. Predicting germination response to temperature. I. Cardinal-temperature models and subpopulation-specific regression

Author:
Hardegree, S.P.
Source:
Annals of botany 2006 v.97 no.6 pp. 1115
ISSN:
0305-7364
Subject:
Poa secunda,   etc   ; seed germination; temperature; prediction; models; Pseudoroegneria spicata; Elymus lanceolatus; Elymus elymoides; regression analysis; estimation; equations; accuracy;     Show all 12 Subjects
Abstract:
... BACKGROUND AND AIMS: The purpose of this study was to compare the relative accuracy of different thermal-germination models in predicting germination-time under constant-temperature conditions. Of specific interest was the assessment of shape assumptions associated with the cardinal-temperature germination model and probit distribution often used to distribute thermal coefficients among seed subpo ...
Handle:
10113/10037
DOI:
10.1093/aob/mcl071
PubMed:
16624846
PubMed Central:
PMC2803400

4. Germination and emergence of primed grass seeds under field and simulated-field temperature regimes

Author:
Hardegree, S.P.; Van Vactor, S.S.
Source:
Annals of botany 2000 v.85 no.3 pp. 379
ISSN:
0305-7364
Subject:
Poa secunda,   etc   ; Elymus lanceolatus; Poaceae; Elymus elymoides; seed germination; seedling emergence; seed treatment; field experimentation; ambient temperature; plant competition; planting date; Pseudoroegneria spicata; species differences;     Show all 13 Subjects
Abstract:
... Seed priming may enhance establishment success of cool-season range grasses which must compete with annual weeds for early spring moisture. Previous priming studies have confirmed germination rate enhancement for these species but relative treatment effects under field-temperature conditions have not been assessed. We primed seeds of thickspike wheatgrass [Elymus lanceolatus(Scribn. and J. G. Smit ...
Handle:
10113/9870
DOI:
10.1006/anbo.1999.1076