Molecular markers and GGE biplot analysis for selecting higher‐yield and drought‐tolerant maize hybrids

2021 ◽  
Author(s):  
A. Sedhom Sedhom ◽  
Mahmoud EL.M. EL‐Badawy ◽  
Ahmed A.A. El Hosary ◽  
Mahmoud S. Abd El‐Latif ◽  
Asmaa. M.S. Rady ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
Drought Tolerant

scholarly journals GGE biplot analysis of multi-environment trials of NS maize hybrids

2011 ◽  
Vol 48 (1) ◽  
pp. 77-82 ◽  
Author(s):  
Bojan Mitrovic ◽  
Dusan Stanisavljevic ◽  
Sanja Treskic ◽  
Milisav Stojakovic ◽  
Goran Bekavac ◽  
...  
Keyword(s):  
Gge Biplot ◽  
Maize Hybrids ◽  
Biplot Analysis

scholarly journals Selection Index in the Study of Adaptability and Stability in Maize

2014 ◽  
Vol 2014 ◽  
pp. 1-6 ◽  
Author(s):  
Rogério Lunezzo de Oliveira ◽  
Renzo Garcia Von Pinho ◽  
Daniel Furtado Ferreira ◽  
Luiz Paulo Miranda Pires ◽  
Wagner Mateus Costa Melo
Keyword(s):  
Principal Components ◽  
Predictive Accuracy ◽  
Selection Index ◽  
The Other ◽  
Gge Biplot ◽  
Southern Brazil ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
The Stability ◽  
Selection Of

This paper proposes an alternative method for evaluating the stability and adaptability of maize hybrids using a genotype-ideotype distance index (GIDI) for selection. Data from seven variables were used, obtained through evaluation of 25 maize hybrids at six sites in southern Brazil. The GIDI was estimated by means of the generalized Mahalanobis distance for each plot of the test. We then proceeded to GGE biplot analysis in order to compare the predictive accuracy of the GGE models and the grouping of environments and to select the best five hybrids. The G × E interaction was significant for both variables assessed. The GGE model with two principal components obtained a predictive accuracy (PRECORR) of 0.8913 for the GIDI and 0.8709 for yield (t ha−1). Two groups of environments were obtained upon analyzing the GIDI, whereas all the environments remained in the same group upon analyzing yield. Coincidence occurred in only two hybrids considering evaluation of the two features. The GIDI assessment provided for selection of hybrids that combine adaptability and stability in most of the variables assessed, making its use more highly recommended than analyzing each variable separately. Not all the higher-yielding hybrids were the best in the other variables assessed.

scholarly journals Evaluation of genotype x environment interactions in maize hybrids using GGE biplot analysis

2011 ◽  
Vol 11 (1) ◽  
pp. 01-09 ◽  
Author(s):  
Fatma Aykut Tonk ◽  
Emre Ilker ◽  
Muzaffer Tosun
Keyword(s):  
Grain Yield ◽  
Gge Biplot ◽  
Maize Breeding ◽  
Private Companies ◽  
Breeding Programs ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
Maize Genotypes ◽  
Cropping Seasons ◽  
Hybrid Maize

Seventeen hybrid maize genotypes were evaluated at four different locations in 2005 and 2006 cropping seasons under irrigated conditions in Turkey. The analysis of variance showed that mean squares of environments (E), genotypes (G) and GE interactions (GEI) were highly significant and accounted for 74, 7 and 19 % of treatment combination sum squares, respectively. To determine the effects of GEI on grain yield, the data were subjected to the GGE biplot analysis. Maize hybrid G16 can be proposed as reliably growing in test locations for high grain yield. Also, only the Yenisehir location could be best representative of overall, locations for deciding about which experimental hybrids can be recommended for grain yield in this study. Consequently, using of grain yield per plant instead of grain yield per plot in hybrid maize breeding programs could be preferred by private companies due to some advantages.

scholarly journals Assessment of Early-Maturing Maize Hybrids and Testing Sites Using GGE Biplot Analysis

Crop Science ◽  
2017 ◽  
Vol 57 (6) ◽  
pp. 2942-2950 ◽  
Author(s):  
M. Oyekunle ◽  
A. Haruna ◽  
B. Badu-Apraku ◽  
I. S. Usman ◽  
H. Mani ◽  
...  
Keyword(s):  
Gge Biplot ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
Early Maturing

scholarly journals GGE Biplot Analysis for Stability and Adaptability of Maize Hybrids in Western Region of Indonesia

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Dedi Ruswandi ◽  
Muhammad Syafii ◽  
Haris Maulana ◽  
Mira Ariyanti ◽  
Nyimas Poppy Indriani ◽  
...  
Keyword(s):  
Western Region ◽  
Gge Biplot ◽  
Specific Location ◽  
Maize Hybrids ◽  
Biplot Analysis ◽  
Small Holder Farmers ◽  
The Western Region ◽  
On Farm ◽  
Small Holder

Hybrids that are stable or adaptable in a specific location for the western region of Indonesia are required to increase production of maize in Indonesia. The objectives of the study were (i) to select maize hybrids which are stable or adaptable in the western region of Indonesia and (ii) to determine the discriminant location for evaluating superior hybrids in the western region. Therefore, twelve maize hybrids were planted in different locations and seasons in the western region. Hybrids were selected based on GGE biplot analysis. The results showed that G9 and G10 were stable maize hybrids. G6 was the selected hybrid for the first megaenvironment; whereas, G3 was selected as the hybrid for the second megaenvironment. The L8 and L17 were the discriminant environment for evaluating hybrids in the western region of Indonesia. The high-yielding hybrids selected in this study should be broadly evaluated on-farm in order to disseminate for small holder farmers in Sumatera and Java islands.

scholarly journals Yield stability and adaptability of maize hybrids based on GGE biplot analysis characteristics

2009 ◽  
Vol 9 (3) ◽  
pp. 219-228 ◽  
Author(s):  
M. Balestre ◽  
J.C. Souza ◽  
R.G.V. Pinho ◽  
R.L. Oliveira ◽  
J.M.V. Paes
Keyword(s):  
Yield Stability ◽  
Gge Biplot ◽  
Maize Hybrids ◽  
Biplot Analysis

scholarly journals Factor analysis and SREG GGE biplot for the genotype × environment interaction stratification in maize

2010 ◽  
Vol 40 (5) ◽  
pp. 1043-1048 ◽  
Author(s):  
Roberto Fritsche-Neto ◽  
Glauco Vieira Miranda ◽  
Rodrigo Oliveira DeLima ◽  
Heraldo Namorato de Souza
Keyword(s):  
Factor Analysis ◽  
Experimental Design ◽  
Square Lattice ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Yield Data ◽  
Maize Hybrids ◽  
Genotype X Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction

The objective of this study was to evaluate the use of SREG GGE biplot methodology and factor analysis to stratify the genotype×environment interaction in maize. Forty-nine early maize hybrids were evaluated in nine environments. The experimental design used was a 7×7 square lattice with two replicates. Each plot consisted of two 5m long rows spaced 0.90m apart. Grain yield data were used to perform the analysis. The results indicated the existence of two mega-environments in the State of Minas Gerais, Brazil, for early maize hybrids. The stratification of the environment by factor analysis was more selective to join the similarity the according with cultivar performance. However, this approach did not identify specific genotype x environment interactions, which is possible through SREG GGE biplot analysis.

Morphological and molecular markers based screening of maize hybrids against northern corn leaf blight

2020 ◽  
Vol 53 (1) ◽  
Author(s):  
Sadaf Naeem ◽  
Muhammad Tahir ◽  
Kiramat Khan ◽  
Amjad Hasan ◽  
Rafiq Ahmad
Keyword(s):  
Molecular Markers ◽  
Leaf Blight ◽  
Maize Hybrids ◽  
Northern Corn Leaf Blight ◽  
Corn Leaf Blight

Genotype × environmental interaction by AMMI and GGE biplot analysis for the provenances of Michelia chapensis in South China

2015 ◽  
Vol 27 (3) ◽  
pp. 659-664 ◽  
Author(s):  
Runhui Wang ◽  
Dehuo Hu ◽  
Huiquan Zheng ◽  
Shu Yan ◽  
Ruping Wei
Keyword(s):  
South China ◽  
Gge Biplot ◽  
Environmental Interaction ◽  
Biplot Analysis
Sign in / Sign up

Export Citation Format

Share Document