Results 31 to 40 of about 53,044 (278)

AMMI and GGE Biplot Analyses for Mega-Environment Identification and Selection of Some High-Yielding Oat (Avena sativa L.) Genotypes for Multiple Environments

open access: yesPlants, 2023
This paper reports an evaluation of eleven oat genotypes in four environments for two consecutive years to identify high-biomass-yielding, stable, and broadly adapted genotypes in selected parts of Ethiopia.
Kibreab Yosefe Wodebo   +9 more
semanticscholar   +1 more source

KAJIAN TERHADAP TINGKAT PEMERATAAN PENDIDIKAN MENGGUNAKAN ANALISIS BIPLOT KLASIK DAN BIPLOT KEKAR

open access: yesE-Jurnal Matematika, 2015
The aim of this research is to find the better from classical and robust biplot in determine dominant indicators of educational equity in Bali, NTB and NTT Provinces. This research based on secondary data obtain from Central Bureau of Statistics for year
NI LUH ARDILA KUSUMAYANTI   +3 more
doaj   +1 more source

Trends in Agroforestry Research from 1993 to 2022: A Topic Model Using Latent Dirichlet Allocation and HJ-Biplot

open access: yesMathematics, 2023
Background: There is an immense debate about the factors that could limit the adoption of agroforestry systems. However, one of the most important is the generation of scientific information that supports the viability and benefits of the proposed ...
Karime Montes-Escobar   +6 more
semanticscholar   +1 more source

Morphological and Molecular Characterization of Quinoa Genotypes

open access: yesAgriculture, 2021
Quinoa cultivation has expanded from South America to many countries because of its wide adaptability and nutritional value. We evaluated 32 introduced quinoa genotypes using 17 qualitative and 11 quantitative traits under Saudi Arabia conditions during ...
Ehab H. EL-Harty   +7 more
doaj   +1 more source

Contribution Biplots [PDF]

open access: yesJournal of Computational and Graphical Statistics, 2012
In order to interpret the biplot it is necessary to know which points – usually variables – are the ones that are important contributors to the solution, and this information is available separately as part of the biplot’s numerical results. We propose a new scaling of the display, called the contribution biplot, which incorporates this diagnostic ...
openaire   +2 more sources

Spatial variability of soil properties and soil erodibility in the Alqueva reservoir watershed [PDF]

open access: yes, 2015
The aim of this work is to investigate how the spatial variability of soil properties and soil erodibility (K factor) were affected by the changes in land use allowed by irrigation with water from a reservoir in a semiarid area.
Andrade, R.   +4 more
core   +3 more sources

Eco-Friendly Biocontrol of Moniliasis in Ecuadorian Cocoa Using Biplot Techniques

open access: yesSustainability, 2023
Cocoa is the main crop in Ecuador’s agricultural sector and is the most important to the country’s economy. This crop is mainly threatened by moniliasis caused by Moniliophthora roreri and Moniliophthora perniciosa.
J. Valenzuela-Cobos   +3 more
semanticscholar   +1 more source

Towards a global interpretation of dual nitrate isotopes in surface waters [PDF]

open access: yes, 2019
Modern anthropogenic activities have significantly increased nitrate (NO3-) concentrations in surface waters. Stable isotopes (delta N-15 and delta O-18) in NO3- offer a tool to deconvolute some of the human-made changes in the nitrogen cycle.
Boeckx, Pascal   +2 more
core   +2 more sources

Sustainability on Different Canola (Brassica napus L.) Cultivars by GGE Biplot Graphical Technique in Multi-Environment

open access: yesSustainability, 2023
Knowledge about the extent of genotype in environment interaction is helpful for farmers and plant breeders. This is because it helps them choose the proper strategies for agricultural management and breeding new cultivars.
S. Shojaei   +10 more
semanticscholar   +1 more source

Informative PLS score-loading plots for process understanding and monitoring [PDF]

open access: yesModeling, Identification and Control, 2005
Principal component regression (PCR) based on principal component analysis (PCA) and partial least squares regression (PLSR) are well known projection methods for analysis of multivariate data. They result in scores and loadings that may be visualized in
Rolf Ergon
doaj   +1 more source

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