scholarly journals Discontinuity in Growth Potential of Jack Pine in Ontario: A 20-Year Provenance Assessment

1979 ◽  
Vol 55 (4) ◽  
pp. 137-141 ◽  
Author(s):  
D. A. Skeates
Keyword(s):  
Jack Pine ◽  
Growth Characteristics ◽  
Growth Potential ◽  
Growing Degree Days ◽  
Degree Days ◽  
Seed Sources ◽  
Growth Differences ◽  
Intensive Sampling

The province of Ontario is divided into three major jack pine populations as a result of grouping 12 seed sources on the basis of growth characteristics, 20 years from sowing. Migration following glaciation is postulated as a cause of population differentiation.Growth of trees from the 12 stands was positively but weakly correlated with growing degree days. However some northern sources flourished in southern plantations. Consistent growth differences were found between some geographically close sources, justifying further, more intensive sampling to identify the most productive sources of seed for each of the major areas of jack pine silvicultural activity in the province.

Adaptive variation in jack pine from north central Ontario determined by short-term common garden tests

1996 ◽  
Vol 26 (11) ◽  
pp. 2006-2014 ◽  
Author(s):  
Annette van Niejenhuis ◽  
William H. Parker
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Common Garden ◽  
Component Analysis ◽  
Jack Pine ◽  
Growth Potential ◽  
Adaptive Variation ◽  
North Central ◽  
Seed Sources ◽  
Seed Origin

To improve our understanding of adaptive variation in jack pine, Pinusbanksiana Lamb., from north central Ontario, 64 seed sources were grown in three common garden tests, and relationships were determined between seedling performance and environment at seed origin. Twenty-three growth and phenological variables were studied, including seedling heights, needle flushing dates, timing of shoot elongation, fall foliage colour change, and drought survival. Significant components of variation were expressed among seed sources for all growth traits and many phenological characters. Linear regressions were run between seedling traits and climatic variables as well as spatial, soil, and vegetative variables that described the environment at seed origin. Resulting coefficients of determination were as high as 0.30. Principal component analysis was used to summarize the variation, with 33% and 21% of the variation accounted for by the first and second components, respectively. Regressions and mapping of principal component analysis scores indicated that the patterns of variation in this portion of the range of jack pine were clinal in nature; the patterns could be predicted by environment at seed origin. The greater growth potential of seedlings from the southwestern portion of the range, in contrast with those of the north shore of Lake Superior, reflected clinal trends seen in previous studies. Multiple regressions were run on the first and second sets of factor scores produced from principal component analysis against the climate variables, resulting in coefficients of determination of 0.30 and 0.38, respectively. Including soil and vegetative variables in the models resulted in only slightly higher coefficients. Thus, climate at seed origin should be considered as the prime factor when seed transfers are necessary in this area.

Evaluation of Finger Millet Varieties under Rainfed Condition of Eastern India

2017 ◽  
Vol 4 (03) ◽  
Author(s):  
M. K. Singh ◽  
VINOD KUMAR ◽  
SHAMBHU PRASAD
Keyword(s):  
Field Experiment ◽  
Finger Millet ◽  
Yield Potential ◽  
Growing Degree Days ◽  
Eastern India ◽  
Degree Days ◽  
Rainfed Condition ◽  
Net Returns ◽  
Humid Environment ◽  
Use Efficiency

A field experiment was carried out during the kharif of 2014 and 2015 to evaluate the yield potential, economics and thermal utilization in eleven finger millet varieties under the rainfed condition of the sub-humid environment of South Bihar of Eastern India. Results revealed that the significantly higher grain yield (20.41 q ha-1), net returns (Rs 25301) and B: C ratio (1.51) was with the finger millet variety ‘GPU 67’ but was being at par to ‘GPU28’and ‘RAU-8’, and significantly superior over remaining varieties. The highest heat units (1535.1oC day), helio-thermal units (7519.7oC day hours), phenothermal index (19.4 oC days day-1) were recorded with variety ‘GPU 67’ followed by ‘RAU 8’ and ‘GPU 28’ and lowest in ‘VL 149’ at 50 % anthesis stage. Similarly, the highest growing degree days (2100 oC day), helio-thermal units (11035.8 oC day hours) were noted with ‘GPU 67’ followed by ‘RAU 8’ and ‘GPU 28’ at maturity. The highest heat use efficiency (0.97 kg ha-1 oC day) and helio-thermal use efficiency (0.19 kg ha-1 oC day hour) were in ‘GPU 67’ followed by ‘VL 315’.

scholarly journals Determining the critical period for weed control in high-yielding cotton using common sunflower as a mimic weed

2019 ◽  
Vol 33 (6) ◽  
pp. 800-807 ◽  
Author(s):  
Graham W. Charles ◽  
Brian M. Sindel ◽  
Annette L. Cowie ◽  
Oliver G. G. Knox
Keyword(s):  
Weed Control ◽  
Critical Period ◽  
Yield Loss ◽  
Field Studies ◽  
Growing Degree Days ◽  
Degree Days ◽  
Weed Density ◽  
High Level ◽  
The Cost ◽  
Planting Season

AbstractField studies were conducted over six seasons to determine the critical period for weed control (CPWC) in high-yielding cotton, using common sunflower as a mimic weed. Common sunflower was planted with or after cotton emergence at densities of 1, 2, 5, 10, 20, and 50 plants m−2. Common sunflower was added and removed at approximately 0, 150, 300, 450, 600, 750, and 900 growing degree days (GDD) after planting. Season-long interference resulted in no harvestable cotton at densities of five or more common sunflower plants m−2. High levels of intraspecific and interspecific competition occurred at the highest weed densities, with increases in weed biomass and reductions in crop yield not proportional to the changes in weed density. Using a 5% yield-loss threshold, the CPWC extended from 43 to 615 GDD, and 20 to 1,512 GDD for one and 50 common sunflower plants m−2, respectively. These results highlight the high level of weed control required in high-yielding cotton to ensure crop losses do not exceed the cost of control.

scholarly journals Growth and Development of Purple Nutsedge Based on Days or Thermal Units

2015 ◽  
Vol 33 (2) ◽  
pp. 165-173 ◽  
Author(s):  
R.S.O. Lima ◽  
E.C.R. Machado ◽  
A.P.P. Silva ◽  
B.S. Marques ◽  
M.F. Gonçalves ◽  
...  
Keyword(s):  
Plant Growth ◽  
Mathematical Models ◽  
Growth And Development ◽  
Dry Matter ◽  
Cyperus Rotundus ◽  
Growing Degree Days ◽  
Plant Growth And Development ◽  
Degree Days ◽  
Purple Nutsedge ◽  
Independent Trials

This work was carried out with the objective of elaborating mathematical models to predict growth and development of purple nutsedge (Cyperus rotundus) based on days or accumulated thermal units (growing degree days). Thus, two independent trials were developed, the first with a decreasing photoperiod (March to July) and the second with an increasing photoperiod (August to November). In each trial, ten assessments of plant growth and development were performed, quantifying total dry matter and the species phenology. After that, phenology was fit to first degree equations, considering individual trials or their grouping. In the same way, the total dry matter was fit to logistic-type models. In all regressions four temporal scales possibilities were assessed for the x axis: accumulated days or growing degree days (GDD) with base temperatures (Tb) of 10, 12 and 15 oC. For both photoperiod conditions, growth and development of purple nutsedge were adequately fit to prediction mathematical models based on accumulated thermal units, highlighting Tb = 12 oC. Considering GDD calculated with Tb = 12 oC, purple nutsedge phenology may be predicted by y = 0.113x, while species growth may be predicted by y = 37.678/(1+(x/509.353)-7.047).

CHLOROGENIC ACID CONTENT OF SUNFLOWER SEED FLOUR AS AFFECTED BY SEEDING AND HARVEST DATE

1976 ◽  
Vol 56 (4) ◽  
pp. 901-905 ◽  
Author(s):  
D. G. DORRELL
Keyword(s):  
Chlorogenic Acid ◽  
Acid Content ◽  
Vegetative Growth ◽  
Sunflower Seed ◽  
Growing Season ◽  
Growing Degree Days ◽  
Degree Days ◽  
Normal Field ◽  
Seed Flour ◽  
Seeding Date

The effect of seeding date on the chlorogenic acid content of sunflower seed flour was determined by seeding the cultivars Krasnodarets and Peredovik at seven dates, starting on 14 May, over 3 yr. Sequential plantings were made at increments of approximately 70 growing degree days (base = 5.6 C). Plants were harvested at normal field maturity. The time and rate of deposition of chlorogenic acid was determined by harvesting plants at 7-day intervals from 21 to 49 days after flowering. The seeds were dehulled and defatted before determining the chlorogenic acid content of the flour. Chlorogenic acid content declined steadily from an average of 4.22% for the first seeding to 3.30% for the last seeding. About one-half of the total chlorogenic acid was present 21 days after flowering. Deposition continued rapidly for the next 14 days then the level began to stabilize. Delay in seeding tended to shorten the period of vegetative growth and shift the deposition of chlorogenic acid to a cooler portion of the growing season. It is suggested that a combination of these factors caused the reduction in chlorogenic acid content of sunflower flour.

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