scholarly journals Prediction of Silking Date of Corn from the Multiple Regression Formula with Day Length and Average Temperature as Variables.

2002 ◽  
Vol 71 (2) ◽  
pp. 232-238 ◽  
Author(s):  
Mituyoshi UEDA
Keyword(s):  
Multiple Regression ◽  
Day Length ◽  
Average Temperature ◽  
Regression Formula

Temperature/light interactions and the effect of seed source on germination of annual ryegrass (Lolium rigidum Gaud.) seeds

1976 ◽  
Vol 27 (6) ◽  
pp. 779 ◽  
Author(s):  
D Gramshaw
Keyword(s):  
Constant Temperature ◽  
Day Length ◽  
Maximum Temperature ◽  
Annual Ryegrass ◽  
Lolium Rigidum ◽  
Average Temperature ◽  
Seed Sources ◽  
Alternating Temperature ◽  
Germinating Seeds ◽  
Temperature Optima

Germination of Lolium rigidum seeds, in the light (12 hr day length) and in the dark, was studied at constant and alternating (12/12 hr) temperatures in the range 8–35°C. Seeds had after-ripened for 22 weeks. Different constant temperature optima for germinability were found: 27° in light and 11° in dark. Germinability at alternating temperatures in darkness was determined solely by the minimum temperature of the alternation, and there was no response to thermoperiodicity per se. In contrast, light and alternating temperature appeared to interact to increase germinability, although the highest germinability occurred only when the maximum temperature was close to the optimum constant temperature, i.e. about 27°. Germination in both light and dark was most rapid where either the constant or the average temperature of an alternating regime was between 18 and 29°. Below 18° germination rates decreased markedly, and at 8°, rates were one-third of those at 18°. Seeds germinated more slowly in light than in darkness at all temperatures, but the differences were small relative to the effects of low temperatures.In another study, seeds collected from plants naturalized in eight different localities in the cereal belt of Western Australia and subsequently planted together in two contrasting environments were examined for germinability at 24/12°C in light and dark 18 weeks after harvest. Dark germinability differed between seed sources but not between planting sites, and ranged between 78 and 93%. Exposure of germinating seeds to light substantially alleviated dormancy in seeds from all sources.

Multiple regression analyses of midwinter fattening of the white-throated sparrow

1986 ◽  
Vol 64 (11) ◽  
pp. 2405-2411 ◽  
Author(s):  
Charles R. Blem ◽  
Michael H. Shelor
Keyword(s):  
Body Weight ◽  
Multiple Regression ◽  
Weather Conditions ◽  
Multiple Regression Model ◽  
Fine Tuning ◽  
Zonotrichia Albicollis ◽  
Independent Variables ◽  
Average Temperature ◽  
Extreme High Temperature

Midwinter lipid depots of the white-throated sparrow (Zonotrichia albicollis) at Richmond, Virginia, are correlated with a suite of environmental and morphological variables. Lipid reserves allow this species to survive even the most extreme winter conditions for several hours. Variables having the greatest individual correlations with lipid reserve are average temperature of the 20 days prior to capture, fat class, body weight, and long-term (32-year) average temperature of the date of capture. A comprehensive multiple regression model based on analyses of all possible independent variables accounts for 87% of the variation in lipid reserves. The most important independent variables in this model are body weight, mean temperature of the 20 days preceding collection, fat class, extreme high temperature of the day of capture, long-term average temperature, relative humidity, chill factor, wet-bulb temperatures of the day before and the day of capture, wing length, and precipitation. The "best" equation using only measurements of environment as independent variables included time of collection in hours after sunrise and hours before sunset, Eastern Standard Time, temperature of the 20 days prior to capture, and mean wind velocity of the day before capture. Models computed solely from temperature measurements included dry-bulb temperatures of the day of capture and the day before capture, low extreme temperatures of the day of capture, wet-bulb temperatures of the day before capture, and the 20-day average dry-bulb temperature of the period prior to collection. Fattening in response to weather conditions appears to be a form of "fine-tuning" of energy reserves superimposed on a more stable, intrinsic cycle of winter fattening.

scholarly journals An assessment of the interactions between climatic conditions and genetic characteristic on the agricultural performance of soybeans grown in Northeast Asia

2018 ◽  
Author(s):  
Myoung Ryoul Park ◽  
Chunmei Cai ◽  
Min-Jung Seo ◽  
Hong-Tae Yun ◽  
Soo-Kwon Park ◽  
...  
Keyword(s):  
Northeast Asia ◽  
Climatic Conditions ◽  
Day Length ◽  
Stem Length ◽  
Genetic Characteristic ◽  
Average Temperature ◽  
Agricultural Performance ◽  
Positive Correlations ◽  
Highly Correlated ◽  
100 Seed Weight

AbstractGlycine max, commonly known as soybean or soya bean, is a species of legume native to East Asia. The interactions between climatic conditions and genetic characteristic affect the agricultural performance of soybean. Therefore, an investigation to identify the main elements affecting the agricultural performances of 11 soybeans was conducted in Northeast Asia, China [Harbin (45°12′N) Yanji (42°53′N) Dalian (39°30′N) Qingdao (36°26′N)] Republic of Korea [Suwon (37°16′N) and Jeonju (35°49′N)]. The days to flowering (DTF) of soybeans with the e1-nf and e1-as alleles and the E1e2e3e4 genotype, except Keumgangkong, Tawonkong, and Duyoukong, was relatively short compared to soybeans with other alleles. Although DTF of the soybeans was highly correlated to all climatic conditions, days to maturity (DTM) and 100-seed weight (HSW) of the soybeans showed no significant correlation with any climatic conditions. The soybeans with a dominant Dt1 allele, except Tawonkong, had the longest stem length (STL). Moreover, the STL of the soybeans grown at the test fields showed a positive correlation with only day length (DL) although the results of our chamber test showed that STL of soybean was positively affected by average temperature (AVT) and DL. Soybean yield (YLD) showed positive correlations with latitude and DL (except L62-667, OT89-5, and OT89-6) although the response of YLD to the climatic conditions was cultivar-specific. Our results show that DTF and STL of soybeans grown in Northeast Asia are highly affected by DL although AVT and genetic characteristic also affect DTF and STL. Along with these results, we confirmed that the DTM, HSW, and YLD of the soybeans vary in relation to their genetic characteristic.

Effect of seasonal environmental changes on selected reproductive parameters in mares

2021 ◽  
Vol 24 (2) ◽  
pp. 208-218
Author(s):  
Z. Vilhanová ◽  
F. Novotný ◽  
I. Valocký ◽  
V. Hura ◽  
P. Horňáková ◽  
...  
Keyword(s):  
Veterinary Medicine ◽  
Seasonal Changes ◽  
Environmental Changes ◽  
Jugular Vein ◽  
Day Length ◽  
Reproductive Parameters ◽  
Spearman Correlation ◽  
Microsoft Excel ◽  
Average Temperature ◽  
Preovulatory Follicles

The aim of this study was to monitor and evaluate the seasonal changes on selected reproductive parameters in mares. Ninety-six mares of different breeds, aged 3 to 23 years were evaluated during the breeding season 2015–2018 at the Equine clinic at University of Veterinary Medicine and Pharmaco­logy in Košice, Slovakia (48°42´N, 21°15´E). The beginning of the estrus was determined by history or observation, mares were examined every 6 hours, blood for progesterone analysis was taken from the jugular vein. Correlation analyses were performed using both the Pearson and the Spearman correlation coefficient. Statistical analysis was performed using the functions of Microsoft Excel and GraphPad Prism. The day length (r = -0.708, P<0.0001) and the average ambient temperature (r = -0.754, P<0.0001) had a statistically significant effect on the duration of estrus. The shortest estrus was recorded in July with day length of 15 hours 40 minutes at an average temperature of 21.4 ± 0.52 °C, with duration 4.67 ± 0.58 days. The longest estrus was recorded in April with day length of 11 hours 48 minutes at average temperature of 6.9 °C. The environmental factors did not affect the size of the preovulatory follicles, the concentration of progesterone, the internal changes of uterus and the external manifestations of estrus.

A Reconceptualization and Revised Scoring Procedure for the ITPA Based on Multivariate Analysis of the Original Normative Data

1975 ◽  
Vol 18 (3) ◽  
pp. 506-520 ◽  
Author(s):  
Gary Cronkhite ◽  
Kandace Penner
Keyword(s):  
Multiple Regression ◽  
Factor Structure ◽  
Visual Memory ◽  
A Priori ◽  
Auditory Memory ◽  
Perceptual Process ◽  
Facet Structure ◽  
Regression Formula ◽  
Five Factors ◽  
Representation Level

This research was conducted to (1) determine whether a factor analysis of the original normative ITPA data would support the dimensions of Osgood’s psycholinguistic model which provides its theoretical base, (2) investigate the need for constructing psycholinguistic profiles based upon this empirical factor structure rather than upon a priori theoretical “facet structure”, and (3) devise a weighted multiple regression formula for estimating psycholinguistic age based on subtest correlations with chronological age for the original normative group. Whereas five factors were anticipated, one of these split into two components. The factors represented the (1) perceptual process at the representation level, accounting for 8% of the variance; (2) perceptual process at the integration level, 6.5%; (3) organizing process at the representation level, 25%; and (4) expressive process at the integration level, 11%. The expected integration-organizing factor split into (5) auditory memory, 9%, and (6) visual memory, 9%. As anticipated, no emergent factor represented the expressive process at the representation level. The emergent factor structure strongly suggests that the use of factor profiles would be more meaningful than the use of subtest profiles. A multiple regression formula is presented for computing psycholinguistic age equivalents.

Further aspects of the theory of multiple regression

1938 ◽  
Vol 34 (1) ◽  
pp. 33-40 ◽  
Author(s):  
M. S. Bartlett
Keyword(s):  
Linear Regression ◽  
Multiple Regression ◽  
Matrix Notation ◽  
Regression Formula ◽  
The Matrix ◽  
Statistical Sample ◽  
Image Position

This paper may be regarded as a sequel to a previous papers(1) in these Proceedings. The vector and matrix notation of that paper used for a statistical sample is systematized somewhat further, so that while a sample S refers as before to the matrix of nm values (a sample of m observations in one variate only being a row vector), we writefor the linear regression formula between the dependent and independent variates into which a sample is supposed partitioned (in place of equation (12) of (1)). More generally, a third submatrix S0 is partitioned off, and its effect eliminated (corresponding to equation (13) of (1)), but without loss of generality we assume that S2 in equation (1) above can always stand for S2.0 if necessary.

Quantitative assessment of the seismic net-pay method: A case study

2015 ◽  
Vol 3 (2) ◽  
pp. B25-B36 ◽  
Author(s):  
Ramses G. Meza ◽  
Juan M. Florez ◽  
Stanislav Kuzmin ◽  
John P. Castagna
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Multiple Regression ◽  
Prediction Error ◽  
Quantitative Assessment ◽  
Self Calibration ◽  
Regression Formula ◽  
Direct Use ◽  
Statistical Formula

We applied the seismic net-pay (SNP) method to an oil discovery and predicted thicknesses consistent with the actual thicknesses at the wellbore locations. This was accomplished by applying the method in a self-calibrating mode that did not require the direct use of well information. For net-pay estimation under a self-calibration scenario, the SNP method thickness estimates proved to be more accurate (mean absolute prediction error at well validation locations under [Formula: see text]) than estimates from a reflectivity-based detuning method ([Formula: see text]) or multiple linear regression ([Formula: see text]). Statistical [Formula: see text]-tests indicated that the correspondences of the predicted thickness estimates with actual net-pay values for the SNP and reflectivity methods (F approximately 5.5–6 for both) were statistically significant, whereas the multiple regression results did not prove to be statistically significant.

scholarly journals Kontribusi Pola Hubungan Guru dan siswa dan Kecerdasan Emosional Terhadap Disiplin Siswa

2017 ◽  
Author(s):  
Dahlena Sari Marbun
Keyword(s):  
Secondary School ◽  
Multiple Regression ◽  
Significant Contribution ◽  
Partial Regression ◽  
Teacher Student ◽  
Regression Formula ◽  
Teacher Student Relationship ◽  
Research Population ◽  
Student Relationship ◽  
Academic Year

The purose of this research is to see the contribution of the teacher-student relationship and emotional question to the student’s decipline at MAN I Padang sidimpuan. The purpose this research as in finding and weather there is significant contribution by using multiple and partial regression. The research population was 430 student secondary school at MAN I Padang sidimpuan academic year 1999/2000, and samples was 146 student. The research was done by using analized by using regression formula (simple and multiple regression). The result of data analized separately showed that teacher-student relationship variable gave contribution 2,63%. That’s while emotional quation variable gave contribution 4,31%. The contribution of two variables simultaneously is 6,94%. So, if teacher-student and emotional question variables contribution to the student’s decipline is 6,94% more then 93,06% is influenced by others variables

scholarly journals An examination of factors potentially influencing birth distributions in golden snub-nosed monkeys (Rhinopithecus roxellana)

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e2892 ◽  
Author(s):  
Zuofu Xiang ◽  
Wanji Yang ◽  
Xiaoguang Qi ◽  
Hui Yao ◽  
Cyril C. Grueter ◽  
...  
Keyword(s):  
Food Availability ◽  
Reproductive Activity ◽  
Day Length ◽  
Circular Statistics ◽  
Rhinopithecus Roxellana ◽  
Average Temperature ◽  
Conception Date ◽  
Reproductive Events ◽  
Free Ranging

Many species of primates are considered seasonal breeders, but the set of factors, such as food availability, day length and temperature, that influence the timing of reproductive events for both wild and captive individuals remains unclear. Here, we examine the role of factors in shaping breeding patterns inRhinopithecus roxellana, a temperate colobine primate. We used circular statistics to describe and compare the patterns of reproductive seasonality among individuals in 13 captive groups and two free ranging but provisioned groups at various locations throughout China. Almost 90% of births occurred in March, April and May in adult females residing in both free ranging (n = 131) and captive groups (n = 407). Births occurred principally in 2–4 months prior to the peak of food availability, while conceptions occurred in 1–2 months after the peak of food availability in free ranging but provisioned groups. Day length (latitude) had a significant effect on the timing of reproduction. However, females that experienced a wide variation of temperature between the lowest and highest monthly average temperature had a later conception date. These results support that day length and temperature might be factor influencing the timing of reproductive activity.

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