scholarly journals Application of statistical methods in the analysis of sweet pepper yield

2020 ◽  
pp. 50-55
Author(s):  
Elena Georgievna Myagkova
Keyword(s):  
Regression Analysis ◽  
Correlation Analysis ◽  
Statistical Methods ◽  
Sweet Pepper ◽  
Climatic Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Climate Conditions ◽  
Fruit Wall ◽  
High Yield Potential

The results of studying sweet pepper hybrids in the soil and climate conditions of the Astrakhan region are presented. Studies were conducted in 2017-2019. sweet pepper was cultivated on light chestnut soils, in the mode of drip irrigation, using technology adapted to the climatic conditions of the zone of cultivation of the crop. The objects of research were sweet pepper hybrids of the agricultural firm "Sedek" and elements of the crop structure of these hybrids. The purpose of the study was to determine sweet pepper hybrids with high yield potential. The purpose of the study was to analyze the structure of the crop and identify the elements of the structure that had the greatest impact on productivity. The strength of the elements ' influence and its direction were determined by statistical methods, in particular, correlation analysis was applied. As a result of correlation analysis, elements (variables X) were determined to the greatest extent that affect the yield of sweet pepper. At the stage of regression analysis, these variables were included in the regression model. Using regression analysis, an equation (mathematical formula) was derived that explains how the yield of sweet peppers will change quantitatively depending on changes in variables. According to the results of data processing using statistical methods, the elements of the structure of the sweet pepper crop that had the greatest impact on productivity were determined: the mass of one fruit, g and the thickness of the fruit wall.

scholarly journals Different origin soft spring wheat varieties and lines comparative analysis

2021 ◽  
Vol 843 (1) ◽  
pp. 012002
Author(s):  
N V Davydova ◽  
E S Romanova ◽  
V A Nardid ◽  
A O Kazachenko ◽  
A V Shirokolava ◽  
...  
Keyword(s):  
Spring Wheat ◽  
Climatic Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Wheat Varieties ◽  
High Productivity ◽  
Abiotic Stressors ◽  
High Level ◽  
Abiotic Environmental Factors ◽  
High Yield Potential

Abstract This work is devoted to the study of spring soft wheat samples collection material. Eighty collection specimens were evaluated, divided by their origin into four groups. The assessment was carried out according to the limiting characteristics for spring wheat: high productivity, stable over the years, resistance to biotic and abiotic environmental factors. A two-year field test made it possible to compare different groups in terms of yield, and to identify the most promising varieties and lines for the conditions of the Central Non-Black Earth Region. The evaluation of the collection samples of origin various groups showed that the varieties and lines of their own selection were the most adapted to the soil and climatic conditions of the Central Non-Chernozem region. The new lines of spring wheat, along with a high level of yield, showed resistance to biotic and abiotic stressors. Varieties of foreign selection are distinguished by a strong non-spreading stem, high density of the stem, as well as high resistance to the most harmful leaf diseases. Of particular interest are the varieties of the Belarusian selection Darya, Dalech, Viza, Rostan with a high yield potential at the level of 5.0-6.0 t/ha.

FloRunTM ‘331’ Peanut Variety

EDIS ◽  
2019 ◽  
Vol 2019 (1) ◽  
Author(s):  
Barry L. Tillman
Keyword(s):  
Seed Size ◽  
Growth Habit ◽  
Yield Potential ◽  
High Yield ◽  
University Of Florida ◽  
High Oleic ◽  
Central Stem ◽  
Research And Education ◽  
The University ◽  
High Yield Potential

FloRunTM ‘331’ peanut variety was developed by the University of Florida, Institute of Food and Agricultural Sciences, North Florida Research and Education Center near Marianna, Florida.  It was released in 2016 because it combines high yield potential with excellent disease tolerance. FloRunTM ‘331’ has a typical runner growth habit with a semi-prominent central stem and medium green foliage.  It has medium runner seed size with high oleic oil chemistry.

scholarly journals Genomic Prediction and Indirect Selection for Grain Yield in US Pacific Northwest Winter Wheat Using Spectral Reflectance Indices from High-Throughput Phenotyping

2019 ◽  
Vol 21 (1) ◽  
pp. 165 ◽  
Author(s):  
Dennis N. Lozada ◽  
Jayfred V. Godoy ◽  
Brian P. Ward ◽  
Arron H. Carter
Keyword(s):  
Winter Wheat ◽  
Pacific Northwest ◽  
Prediction Accuracy ◽  
Indirect Selection ◽  
Yield Potential ◽  
High Yield ◽  
High Throughput Phenotyping ◽  
Reflectance Indices ◽  
Selection Of ◽  
High Yield Potential

Secondary traits from high-throughput phenotyping could be used to select for complex target traits to accelerate plant breeding and increase genetic gains. This study aimed to evaluate the potential of using spectral reflectance indices (SRI) for indirect selection of winter-wheat lines with high yield potential and to assess the effects of including secondary traits on the prediction accuracy for yield. A total of five SRIs were measured in a diversity panel, and F5 and doubled haploid wheat breeding populations planted between 2015 and 2018 in Lind and Pullman, WA. The winter-wheat panels were genotyped with 11,089 genotyping-by-sequencing derived markers. Spectral traits showed moderate to high phenotypic and genetic correlations, indicating their potential for indirect selection of lines with high yield potential. Inclusion of correlated spectral traits in genomic prediction models resulted in significant (p < 0.001) improvement in prediction accuracy for yield. Relatedness between training and test populations and heritability were among the principal factors affecting accuracy. Our results demonstrate the potential of using spectral indices as proxy measurements for selecting lines with increased yield potential and for improving prediction accuracy to increase genetic gains for complex traits in US Pacific Northwest winter wheat.

scholarly journals Growth of and partitioning between shoot and storage root of carrot in a northern climate

2000 ◽  
Vol 9 (1) ◽  
pp. 49-59 ◽  
Author(s):  
T. SUOJALA
Keyword(s):  
Leaf Area ◽  
Growing Season ◽  
Climatic Conditions ◽  
Yield Potential ◽  
High Yield ◽  
Root Weight ◽  
Leaf Production ◽  
Relative Growth Rates ◽  
Yield Production ◽  
Northern Climate

Matching the growth pattern of a vegetable cultivar with the seasonal changes in climate is a prerequisite for successful yield production in a northern climate. This paper describes the growth characteristics of two carrot cultivars in relation to climatic conditions in two years, with special reference to the factors associated with high yield. Cv. Fontana produced twice as large a leaf area and shoot weight as cv. Panther. Increased partitioning to shoot in the former cultivar also resulted in a higher root yield. Uniformity in relative growth rates during the period of analysis suggests that intervarietal differences in the shoot to root ratio and in the yield potential appear very early. Nearly half of the root weight at final harvest was gained after mid-August, when temperature and daily irradiance began to decrease. A large leaf area may ensure better utilisation of diminishing growth resources at the end of the growing season. In the more favourable growing season, 1997, plants invested more in leaf production than they did in 1996: shoot fresh and dry weights were considerably higher but leaf area was not much higher.;

scholarly journals Yield component variation in winter wheat grown under drought stress

2000 ◽  
Vol 80 (4) ◽  
pp. 739-745 ◽  
Author(s):  
B. L. Duggan ◽  
D. R. Domitruk ◽  
D. B. Fowler
Keyword(s):  
Drought Stress ◽  
Winter Wheat ◽  
Grain Yield ◽  
Triticum Aestivum L ◽  
Yield Component ◽  
Yield Potential ◽  
High Yield ◽  
Crop Water ◽  
Kernel Number ◽  
High Yield Potential

Crops produced in the semiarid environment of western Canada are subjected to variable and unpredictable periods of drought stress. The objective of this study was to determine the inter-relationships among yield components and grain yield of winter wheat (Triticum aestivum L) so that guidelines could be established for the production of cultivars with high yield potential and stability. Five hard red winter wheat genotypes were grown in 15 field trials conducted throughout Saskatchewan from 1989–1991. Although this study included genotypes with widely different yield potential and yield component arrangements, only small differences in grain yield occurred within trials under dryland conditions. High kernel number, through greater tillering, was shown to be an adaptation to low-stress conditions. The ability of winter wheat to produce large numbers of tillers was evident in the spring in all trials; however, this early season potential was not maintained due to extensive tiller die-back. Tiller die-back often meant that high yield potential genotypes became sink limiting with reduced ability to respond to subsequent improvements in growing season weather conditions. As tiller number increased under more favourable crop water conditions genetic limits in kernels spike−1 became more identified with yield potential. It is likely then, that tillering capacity per se is less important in winter wheat than the development of vigorous tillers with numerous large kernels spike−1. For example, the highest yielding genotype under dryland conditions was a breeding line, S86-808, which was able to maintain a greater sink capacity as a result of a higher number of larger kernels spike−1. It appears that without yield component compensation, a cultivar can be unresponsive to improved crop water conditions (stable) or it can have a high mean yield, but it cannot possess both characteristics. Key words: Triticum aestivum L., wheat, drought stress, kernel weight, kernel number, spike density, grain yield

OAC Bruton soybean

2018 ◽  
Vol 98 (6) ◽  
pp. 1389-1391
Author(s):  
S. Torabi ◽  
B.T. Stirling ◽  
J. Kobler ◽  
M. Eskandari
Keyword(s):  
Soybean Cyst Nematode ◽  
Protein Concentration ◽  
Seed Protein ◽  
Cyst Nematode ◽  
Yield Potential ◽  
High Yield ◽  
Seed Protein Concentration ◽  
Glycine Max L ◽  
Group 1 ◽  
High Yield Potential

OAC Bruton is an indeterminate large-seeded food-grade soybean [Glycine max (L.) Merr.] cultivar with high yield potential, high seed protein concentration, and resistance to soybean cyst nematode (SCN). OAC Bruton is developed and recommended for soybean growing areas in southwestern Ontario with 2950 or greater crop heat units. OAC Bruton is classified as a maturity group 1 (MG1) cultivar with a relative maturity of 1.8.

Sign in / Sign up

Export Citation Format

Share Document