scholarly journals The correlation of variable affecting yield on anthocyanins corn

2021 ◽  
Vol 911 (1) ◽  
pp. 012050
Author(s):  
La Sumange ◽  
Syamsul Rahman ◽  
HG. M Yasin ◽  
Kahar Mustari
Keyword(s):  
Grain Yield ◽  
Water Content ◽  
Multiple Regression ◽  
Simple Correlation ◽  
Correlation And Regression Analysis ◽  
Ear Height ◽  
Independent Variable ◽  
Per Se ◽  
Generative Stage ◽  
Number Of Seeds

Abstract Variable importance under vegetative and generative stage for effecting of grain yield opv anthocyanins corn. Simple correlation and regression analysis has been conducted between grain yield as dependent variable (yi) with all independent variable (xi, i: 1,2,3,…,6) as vegetative and generative stage. Stepwise of multiple regression was be used for define of variable was more important to affecting of yield.The experiment were conducted in Maros and Bajeng experimental farm on rainy 2017, data has been collected as sample from 30 plants per se. Two blocks of experiment 17x25m were planting of with spacing 75x20 cm one plant per hole, length of plot 15 m. Fertilizer be applied with Urea-Ponska (300-200) kg/ha. Anthocyanin’s corn held to increase of human health. The origin of anthocyanins corn is from Mesoamerica it is a pigment that give color of purple to black may affect to anticipated of viral (virus), cholesterol, heart disease, obesity, and cancerThe result multiple regression shown that variable which is be increase of yield and significant different founded in Maros were plant height (x1), water content of seeds (x2), and ear height. (x5). Model: y:3.404+0.027x1+0.018x2-0.073x5, R2:0.645. In Bajeng shown that water content of seeds (x5), number of seeds per cob (x7), and 1000 seeds (x8), Model was yi=4.096-1.776x5+0.087x7+0.023x8; R2:0.92. In The two-location yield, be decrease if water content of seed was increase.

Yield performance with heritability measurements of half sib families obtained from maize variety Azam

1970 ◽  
pp. 33-36
Author(s):  
Faizan Mahmood, Hidayat- Ur-Rahman, Nazir Ahmad ◽  
Fahim-ul- Haq ◽  
Samrin Gul, Quaid Hussain ◽  
Ammara Khalid ◽  
Touheed Iqbal ◽  
...  
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Heritability Estimate ◽  
Kernel Weight ◽  
Yield Performance ◽  
Grain Moisture ◽  
Maize Variety ◽  
Ear Height ◽  
Sib Families

This study evaluated the performance of 64 half sib families (HSF) derived from “Azam” variety of maize using partially balanced lattice square design with two replications. Data were recorded on grain yield and other agronomic traits. Observations showed difference in half-sib families for studied traits. Among the 64 half-sib families, minimum days to 50% tasseling (51 days) were observed for HS-49 while maximum (57 days) for HS-63. Minimum days to 50% silking (56 days) were counted for HS-6 while maximum (63 days) for HS-23. Minimum days to 50% anthesis (55 days) were counted for HS-1 and HS-6 while maximum (62 days) for HS-23. Similarly, minimum ASI (-2 days) were observed in HS-1, HS-15, HS-16, HS-28 and HS-63 while maximum (2 days) in HS-48. Minimum (60 cm) ear height was recorded for HS-11 and maximum (93.5 cm) for HS-28. Minimum fresh ear weight (1.3 kg) was weighted for HS-17 while maximum (3.2 kg) for HS-21. Grain moisture was recorded minimum (19.35 %) for HS-19 and maximum (31.25%) for HS-2. HS-42 showed minimum (28 g) 100 kernel weight while HS-5 showed maximum (47 g). Grain yield was minimum (2323 kg ha-1) for HS-17 and maximum (5742 kg ha-1) for HS-21. Maximum heritability estimate (0.92) was recorded for fresh ear weight, while minimum (0.41) was observed for ear height.

scholarly journals Supporting Physiological Trait for Indirect Selection for Grain Yield in Drought-Stressed Popcorn

Plants ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1510
Author(s):  
Samuel Henrique Kamphorst ◽  
Gabriel Moreno Bernardo Gonçalves ◽  
Antônio Teixeira do Amaral Júnior ◽  
Valter Jário de Lima ◽  
Kátia Fabiane Medeiros Schmitt ◽  
...  
Keyword(s):  
Grain Yield ◽  
Multiple Regression ◽  
Morphological Traits ◽  
Vegetation Index ◽  
Agronomic Traits ◽  
Indirect Selection ◽  
Leaf Angle ◽  
Water Restriction ◽  
Leaf Greenness ◽  
Selection Of

The identification of traits associated with drought tolerance in popcorn is a contribution to support selection of superior plants under soil water deficit. The objective of this study was to choose morphological traits and the leaf greenness index, measured on different dates, to estimate grain yield (GY) and popping expansion (PE), evaluated in a set of 20 popcorn lines with different genealogies, estimated by multiple regression models. The variables were divided into three groups: morpho-agronomic traits—100-grain weight (GW), prolificacy (PR), tassel length (TL), number of tassel branches, anthesis-silking interval, leaf angle (FA) and leaf rolling (FB); variables related to the intensity of leaf greenness during the grain-filling period, at the leaf level, measured by a portable chlorophyll meter (SPAD) and at the canopy level, calculated as the normalized difference vegetation index (NDVI). The inbred lines were cultivated under two water conditions: well-watered (WW), maintained at field capacity, and water stress (WS), for which irrigation was stopped before male flowering. The traits GY (55%) and PE (28%) were most affected by water restriction. Among the morpho-agronomic traits, GW and PR were markedly reduced (>10%). Under dry conditions, the FA in relation to the plant stalk tended to be wider, the FB curvature greater and leaf senescence accelerated (>15% at 22 days after male flowering). The use of multiple regression for the selection of predictive traits proved to be a useful tool for the identification of groups of adequate traits to efficiently predict the economically most important features of popcorn (GY and PE). The SPAD index measured 17 days after male flowering proved useful to select indirectly for GY, while, among the morphological traits, TL stood out for the same purpose. Of all traits, PR was most strongly related with PE under WS, indicating its use in breeding programs. The exploitation of these traits by indirect selection is expected to induce increments in GY and PE.

Relation of geographic variation in the skull of Microtus pennsylvanicus to climate

1983 ◽  
Vol 61 (6) ◽  
pp. 1232-1241 ◽  
Author(s):  
Richard R. Snell ◽  
Kimberly M. Cunnison
Keyword(s):  
Low Temperature ◽  
Geographic Variation ◽  
Multiple Regression ◽  
Minimum Spanning Tree ◽  
Climatic Factors ◽  
Principal Component ◽  
Microtus Pennsylvanicus ◽  
Annual Number ◽  
Simple Correlation ◽  
Morphometric Variation

Analyses of geographic variation in the skull of meadow voles (Microtus pennsylvanicus) indicate that phenetic distances among samples are not related to geographic distance: a minimum spanning tree based on average taxonomic distance superimposed on a map of 38 localities provides no particular phenetic clustering of those samples geographically proximate. A multiple regression of phenetic component one (skull size) onto orthogonally rotated climatic factors explains much less morphometric variation (25.6%) than a simple correlation with recorded extreme low temperature (38.9%). Multiple regression of phenetic principal component two (interorbital width) onto the same climatic factors explains minimally more morphological variation (42.1%) than a simple correlation with mean annual number of days with frost (41.7%). Microtus pennsylvanicus shows a pattern of size variation that is the reverse of Bergmann's rule: these voles are large where it is warm and small where it is cold. Since small size reduces total energy expenditure, we predict that during times of extreme low temperature (i) smaller voles will be less energetically stressed than larger voles and (ii) large size will be actively selected against.

The Relative Importance of Socioeconomic and Political Variables for Public Policy

1977 ◽  
Vol 71 (2) ◽  
pp. 559-566 ◽  
Author(s):  
Michael S. Lewis-Beck
Keyword(s):  
Public Policy ◽  
Path Analysis ◽  
Multiple Regression ◽  
Partial Correlation ◽  
Policy Outcomes ◽  
Statistical Techniques ◽  
Relative Importance ◽  
Simple Correlation ◽  
Independent Variables ◽  
Political Variables

Since Dawson and Robinson, a dominant issue in the quantitative study of public policy has been the relative importance of socioeconomic and political variables for determining policy outcomes. It is argued here that past efforts to resolve this issue have been unsatisfactory, largely because they relied on inadequate statistical techniques, i.e., simple correlation, partial correlation, or multiple regression. Coefficients from these techniques are irrelevant for all but the most peculiar models of public policy. In general, if the researcher wishes to assess the relative importance of independent variables, it will be necessary to resort to path analysis of a formally constructed causal model. The comparison of “effects coefficients,” derived from path analysis, is offered as the preferred means of evaluating independent variables, superior to comparisons of coefficients from simple correlation, partial correlation, or multiple regression. When the effects coefficients are actually calculated for a popular model of welfare policy, socioeconomic variables appear much more important than political variables, contrary to interpretations coming from the more traditional statistical techniques.

scholarly journals Green ear yield and grain yield of maize cultivars in competition with weeds

2010 ◽  
Vol 28 (1) ◽  
pp. 77-85 ◽  
Author(s):  
P.S.L. Silva ◽  
K.M.B. Silva ◽  
P.I.B. Silva ◽  
V.R. Oliveira ◽  
J.L.B. Ferreira
Keyword(s):  
Grain Yield ◽  
Plant Height ◽  
Block Design ◽  
Corn Yield ◽  
Modern Agriculture ◽  
Maize Cultivars ◽  
Randomized Complete Block Design ◽  
Ear Height ◽  
Herbicide Use ◽  
Ground Part

The reduction in herbicide use is one of the greatest interests for modern agriculture and several alternatives are being investigated with this objective, including the adoption of cultivars that suppress weeds. The objective of this study was to verify if maize cultivars develop differently, in competition with weeds, to produce green ears and grain. Randomized complete block design was used, with split-plots and five replications. Cultivars DKB 390, DKB 466, DKB 350, AG 7000, AG 7575 and Master, were evaluated in the plots, without weeding and two weedings (at 22 and 41 days after sowing) in sub plots. Twenty-one species were identified in the experimental area, the most frequent being Gramineae (Poaceae), Euphorbiaceae, Leguminosae (Fabaceae) and Convolvulaceae species. There was no difference in the dry biomass above-ground part of the weeds in the plots of the evaluated cultivars. The cultivars behaved similarly in treatments with or without hoeing, except for plant height and ear height evaluations. Without hoeing, plant height increased in cultivar DKB 390, while plant height and ear height decreased in cultivar AG 7575. In the other cultivars, these traits did not change under weed control. The presence of weeds decreased the values of all traits employed to assess green corn yield, with the exception of the total number of green ears and grain yield.

scholarly journals Selección para calidad fisiológica de la semilla y rendimiento en líneas S2 derivadas de cuatro poblaciones tropicales de maíz (Zea mays L.)

2016 ◽  
Vol 7 (1) ◽  
pp. 58
Author(s):  
Enrique Navarro ◽  
Cristina Vega ◽  
Fernando Narváez ◽  
Hugo Córdova
Keyword(s):  
Genetic Variability ◽  
Grain Yield ◽  
Recurrent Selection ◽  
Zea Mays L ◽  
Agronomic Traits ◽  
Reciprocal Recurrent Selection ◽  
Laboratory Conditions ◽  
Flower Plant ◽  
Ear Height ◽  
Field And Laboratory Conditions

This study was carried out in 1993 to evaluate S2 lines from four maize tropical populations improved by reciprocal recurrent selection. These lines were evaluated under field and laboratory conditions, the latter one to determine physiology quality. The main goal was to measure genetic variability within and among populations for traits such as grain yield, vigor and germination and to select the best lines under field and laboratory conditions. The combined analysis of variance showed great genetic variability among the S2 lines within and among populations for grain yield, days to flower, plant and ear height, among others. The maximum genetic variability was observed on the lines from population 43 and pool 23 for most of the traits, although the latter showed a greater genetic variability for grain yield. Besides, it is important to mention that the above populations included the best genotypes for grain yield, germination and vigor. Taking into account the above mentionel agronomic traits, fifteen lines were selected; 2 belong to population 43* pool 20, 2 from pool 19* pool 23, 8 from population 43, and 3 from pool 23. These results confirm the genetic superiority of the lines from populations 43 and pool 23, so that these populations should be recommended for future genetic improvement by reciprocal recurrent procedures.

scholarly journals What Makes an Individual Invest in Stocks?

2019 ◽  
Vol 1 (2) ◽  
pp. 37
Author(s):  
Candy Candy
Keyword(s):  
Multiple Regression ◽  
Quantitative Data ◽  
Subjective Norms ◽  
Behavioural Control ◽  
Analysis Method ◽  
Perceived Behavioural Control ◽  
Behavioral Biases ◽  
Independent Variable

The purpose of this research is to examine the factors that influence intention to invest in stocks of an individual. This research are using quantitative data with 395 questionnaires collected from Batam residents who as sample. Questionnaire consists indicators for independent variable that included attitude, perceived behavioural control, subjective norms, past behavioral biases and intention to invest. Multiple regression used as the analysis method and result showed that all independent variable have a positive significant effect on intention to invest. It means those factors can motivated an individual to invest in stocks market.

scholarly journals Dead Cover and Agronomic Characteristics of Cowpea

2020 ◽  
Vol 12 (10) ◽  
pp. 175
Author(s):  
Vilson de Souza Rocha ◽  
Ajax de Sousa Ferreira ◽  
Bruna Nogueira Leite ◽  
Carla Coelho Ferreira ◽  
Karla Gabrielle Dutra Pinto ◽  
...  
Keyword(s):  
Grain Yield ◽  
Low Income ◽  
Dry Matter ◽  
Mucuna Pruriens ◽  
Control Treatment ◽  
Experimental Unit ◽  
Plant Residues ◽  
Cowpea Cultivars ◽  
Agronomic Characteristics ◽  
Number Of Seeds

Dead cover, or mulch, consisting of plant residues, plays an important role for the success of diverse agricultural crops, working as an insulating layer protecting the soil from daytime temperature variations and maintaining the soil moist and rich in organic matter. Cowpea is a source of proteins, carbohydrates, vitamins and minerals. Its importance in the North, Northeast and Midwest regions of the country is associated with economic and social aspects, since it is an important food for low-income populations, supplying their nutritional needs. This study was carried out under greenhouse conditions in Manaus, state of Amazonas, with the purpose of assessing the effect of different dead covers on the agronomic characteristics of cowpea cultivars. It consisted of a completely randomized design in a 4 × 4 factorial arrangement. The treatments comprised four cowpea cultivars (BRS Caldeirão, BRS Tumucumaque, BRS Guariba and BRS Tracuateua) and three species of cover plants (Brachiaria decumbens, Brachiaria ruziziensis and Mucuna pruriens) and one control treatment, without soil cover, in a total of 16 treatments, with four replications and two plants per experimental unit. Analysis of variance was applied to the data, and the means were compared by the Scott-Knott’s test at 5% probability level. The following characteristics were examined: number of pods per plant, pod length, number of seeds per pod, weight of shoot dry matter, and grain yield. Mulching provided better results for all characteristics assessed in the four cultivars when compared to the control. BRS Caldeirão is the recommended cultivar for the state of Amazonas and the other regions with similar edaphoclimatic characteristics (high air temperature, rainfall, air humidity, and low-fertility tropical soils) because it exhibited the greatest number of pods per plant, number of seeds per pod, shoot dry matter, and the highest average grain yield (Freire Filho et al., 2011; Souza et al., 2016).

scholarly journals Pengaruh Kepemimpinan, Motivasi Kerja, dan Kepuasan Kerja Terhadap Kinerja Personil Polisi Bidokkes Polda Kalimantan Selatan

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Supriadi Noor ◽  
Titien Agustina
Keyword(s):  
Job Satisfaction ◽  
Multiple Regression ◽  
Work Motivation ◽  
Employee Performance ◽  
The South ◽  
Additional Information ◽  
Leadership Motivation ◽  
Analysis Technique ◽  
Dependent Variables ◽  
Independent Variable

The purpose of this study is to analyze the influence of motivational leadership and job satisfaction on the performance of South Kalimantan Police Biddokes personnel. The benefits obtained from this study are providing input or additional information that is meaningful to organizations, companies and further research on leadership, motivation, and job satisfaction with employee performance as a reference for further research.This research variable consists of indentpent variables and dependent variables. The independent variable consists of leadership, motivation and job satisfaction. Whereas the dependent variable consists of employee performance. The analysis technique used is multiple regression (multiple regression) with the help of SPSS 20.0 software.The results of the Leadership, Work Motivation, and Job Satisfaction research of the South Kalimantan Police of Biddokkes went well. Leadership, work motivation, and job satisfaction have a partial effect on the performance of the South Kalimantan Regional Police Biddokkes. Leadership, work motivation, and job satisfaction simultaneously influence the performance of the South Kalimantan Police Biddokkes. Leadership has a dominant effect on the performance of the South Kalimantan Regional Police Biddokkes compared to work motivation and job satisfaction.

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