scholarly journals Genotype-by-Environment Interaction Effects under Heat Stress in Tropical Maize

Agronomy ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1998
Author(s):  
Vinayan Madhumal Thayil ◽  
Pervez H. Zaidi ◽  
Kaliyamoorthy Seetharam ◽  
Reshmi Rani Das ◽  
Sudarsanam Viswanadh ◽  
...  
Keyword(s):  
Heat Stress ◽  
South Asia ◽  
Grain Filling ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
Spring Maize ◽  
Stable Performance

Spring maize area has emerged as a niche market in South Asia. Production of maize during this post-rainy season is often challenged due to heat stress. Therefore, incorporating heat stress resilience is an important trait for incorporation in maize hybrids selected for deployment in this season. However, due to the significant genotype × environment interaction (GEI) effects under heat stress, the major challenge lies in identifying maize genotypes with improved stable performance across locations and years. In the present study, we attempted to identify the key weather variables responsible for significant GEI effects, and identify maize hybrids with stable performance under heat stress across locations/years. The study details the evaluation of a set of prereleased advanced maize hybrids across heat stress vulnerable locations in South Asia during the spring seasons of 2015, 2016 and 2017. Using factorial regression, we identified that relative humidity (RH) and vapor pressure deficit (VPD) as the two most important environmental covariates contributing to the large GEI observed on grain yield under heat stress. The study also identified reproductive stage, starting from tassel emergence to early grain-filling stage, as the most critical crop stage highly susceptible to heat stress. Across-site/year evaluation resulted in identification of six high yielding heat stress resilient hybrids.

scholarly journals Environmental variables contributing to differential performance of tropical maize hybrids across heat stress environments in South Asia

2019 ◽  
pp. 828-836
Author(s):  
Vinayan MT ◽  
PH Zaidi ◽  
K. Seetharam ◽  
Md. Ashraful Alam ◽  
Salahuddin Ahmed ◽  
...  
Keyword(s):  
Heat Stress ◽  
South Asia ◽  
Environmental Variables ◽  
Partial Least Square ◽  
Least Square ◽  
Maize Hybrids ◽  
Yield Variation ◽  
Maize Genotypes ◽  
Two Factors ◽  
Important Trait

Heat stress resilience in maize hybrids is emerging as an important trait in germplasm targeted for cultivation in the post-rainy season spring in South Asia. One of the major challenges in targeted breeding for these agro-ecologies is the differential response of maize genotypes to heat stress across locations during the spring season. This study is targeted at identifying the major environmental variables that contributed to the genotype × environmental (GEI) yield variations observed among genotypes grown in response to heat stress. The trial dataset used for this study constitutes 46 trials × location combinations spread over a period of three years (2013-2015). Partial least square (PLS) regression analysis was implemented to decipher the important environmental variables contributing to the observed yield variation among maize trials planted during spring across locations of South Asia. The first two factors from the PLS study explained the 30 per cent yield variation across trials. The largest contributor of this variation was relative humidity (RH) and vapor pressure deficit (VPD) during flowering stage of the crop across the years.

scholarly journals Genotype × Environment Interaction of Yield and Grain Quality Traits of Maize Hybrids in Greece

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 357
Author(s):  
Nikolaos Katsenios ◽  
Panagiotis Sparangis ◽  
Sofia Chanioti ◽  
Marianna Giannoglou ◽  
Dimitris Leonidakis ◽  
...  
Keyword(s):  
Principal Components ◽  
Mean Value ◽  
Quality Characteristic ◽  
Environment Interaction ◽  
High Concentration ◽  
Maize Hybrids ◽  
Genotype Environment Interaction ◽  
Maize Genotypes ◽  
Ammi Analysis ◽  
The Stability

The interaction of genotype by the environment is very common in multi-environment trials of maize hybrids. This study evaluates the quantity and the quality of grain production and the stability of four maize genotypes in a field experiment that was conducted in five different locations for two years. In order to make a reliable evaluation of the performance of genotypes in the environments, principal components analysis (PCA) was used to investigate the correlation of the yield, soil properties and quality characteristics, while the additive main effects and multiplicative interaction (AMMI) analysis detected the narrow adaptations of genotypes at specific mega-environments. For the yield, AMMI analysis indicated that a group of five environments (ENV1, ENV8, ENV6 ENV10 and ENV9) gave higher yields than the mean value and at the same time had low first interaction principal components axis (IPC1) scores, indicating small interactions. Regarding protein and fiber contents, ENV1 and ENV2, gave the highest values and this could be attributed to the high concentration rates of nutrients like Mg, Ca and the soil texture (C). Specifically for the protein, the results of the analysis indicated that certain environment would provide more protein content, so in order to obtain higher grain protein, growers should grow in certain locations in order to improve the content of this quality characteristic, certain genotypes should be used in certain environments.

scholarly journals The application of AMMI model for barley cultivars evaluation in multi-year trials

Genetika ◽  
2014 ◽  
Vol 46 (2) ◽  
pp. 445-454 ◽  
Author(s):  
Milan Mirosavljevic ◽  
Novo Przulj ◽  
Jan Bocanski ◽  
Dusan Stanisavljevic ◽  
Bojan Mitrovic
Keyword(s):  
Genotype By Environment Interaction ◽  
Barley Grain ◽  
Environment Interaction ◽  
Barley Cultivars ◽  
Growing Seasons ◽  
Genotype Environment Interaction ◽  
New Varieties ◽  
Stable Performance ◽  
Ammi Model ◽  
Barley Genotypes

The interpretation of new varieties performance is disturbed under the influence of genotype-by-environment interaction. Among several methods used for understanding this effect, one of the most frequently used methods is Additive Main Effects and Multiplicative Interaction (AMMI) analysis. In this study we used AMMI method with the aim to estimate the genotype - environment interaction of 14 barley genotypes, and to identify barley genotypes that have high and stable performance in different environments. The trials were conducted during 11 growing seasons (1995/96 - 2005/06), arranged in a randomized complete block (RCB) design with four replications in location Rimski Sancevi. The results showed that the influence of environment (seasons), genotypes and their interaction on barley grain yield were significant (p < 0.01). Based on AMMI method, two-rowed variety Novosadski 317 and the six-rowed variety Novosadski 331 can be distinguished due their high and stable yields.

Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models

2018 ◽  
Vol 58 (11) ◽  
pp. 1996
Author(s):  
S. Ribeiro ◽  
J. P. Eler ◽  
V. B. Pedrosa ◽  
G. J. M. Rosa ◽  
J. B. S. Ferraz ◽  
...  
Keyword(s):  
Genetic Correlation ◽  
Environmental Gradient ◽  
Genotype By Environment Interaction ◽  
Reaction Norms ◽  
Breeding Value ◽  
Environment Interaction ◽  
Genotype By Environment ◽  
Genotype Environment Interaction ◽  
Nellore Cattle ◽  
Gradient Variation

In the present study, a possible existence of genotype × environment interaction was verified for yearling weight in Nellore cattle, utilising a reaction norms model. Therefore, possible changes in the breeding value were evaluated for 46 032 animals, from three distinct herds, according to the environmental gradient variation of the different contemporary groups. Under a Bayesian approach, analyses were carried out utilising INTERGEN software resulting in solutions of contemporary groups dispersed in the environmental gradient from –90 to +100 kg. The estimates of heritability coefficients ranged from 0.19 to 0.63 through the environmental gradient and the genetic correlation between intercept and slope of the reaction norms was 0.76. The genetic correlation considering all animals of the herds in the environmental gradient ranged from 0.83 to 1.0, and the correlation between breeding values of bulls in different environments ranged from 0.79 to 1.0. The results showed no effect of genotype × environment interaction on yearling weight in the herds of this study. However, it is important to verify a possible influence of the genotype × environment in the genetic evaluation of beef cattle, as different environments might cause interference in gene expression and consequently difference in phenotypic response.

Stability Analysis of Agronomic Traits for Maize (Zea Mays L.) Genotypes Based on Ammi Model

2021 ◽  
Vol 50 (2) ◽  
pp. 343-350
Author(s):  
Meijin Ye ◽  
Zhaoyang Chen ◽  
Bingbing Liu ◽  
Haiwang Yue
Keyword(s):  
Grain Yield ◽  
Agronomic Traits ◽  
Interaction Model ◽  
Genotype By Environment Interaction ◽  
Kernel Weight ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype By Environment ◽  
Ammi Model ◽  
The Ideal

Stability and adaptability of promising maize hybrids in terms of three agronomic traits (grain yield, ear weight and 100-kernel weight) in multi-environments trials were evaluated. The analysis of AMMI model indicated that the all three agronomic traits showed highly significant differences (p < 0.01) on genotype, environment and genotype by environment interaction. Results showed that genotypes Hengyu321 (G9), Yufeng303 (G10) and Huanong138 (G3) were of higher stability on grain yield, ear weight and 100-kernel weight, respectively. Genotypes Hengyu1587 (G8) and Hengyu321 (G9) showed good performance in terms of grain yield, whereas Longping208 (G2) and Weike966 (G12) showed broad adaptability for ear weight. It was also found that the genotypes with better adaptability in terms of 100-kernel weight were Zhengdan958 (G5) and Weike966 (G12). The genotype and environment interaction model based on AMMI analysis indicated that Hengyu1587 and Hengyu321 were the ideal genotypes, due to extensive adaptability and high grain yield under both testing sites. Bangladesh J. Bot. 50(2): 343-350, 2021 (June)

scholarly journals Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains

2021 ◽  
Vol 12 ◽  
Author(s):  
Leonardo Abdiel Crespo-Herrera ◽  
Jose Crossa ◽  
Julio Huerta-Espino ◽  
Suchismita Mondal ◽  
Govindan Velu ◽  
...  
Keyword(s):  
South Asia ◽  
Wheat Yield ◽  
Target Population ◽  
Genotype By Environment Interaction ◽  
Wheat Breeding ◽  
Correlated Response ◽  
Environment Interaction ◽  
Prediction Ability ◽  
North Eastern ◽  
Fine Tune

In this study, we defined the target population of environments (TPE) for wheat breeding in India, the largest wheat producer in South Asia, and estimated the correlated response to the selection and prediction ability of five selection environments (SEs) in Mexico. We also estimated grain yield (GY) gains in each TPE. Our analysis used meteorological, soil, and GY data from the international Elite Spring Wheat Yield Trials (ESWYT) distributed by the International Maize and Wheat Improvement Center (CIMMYT) from 2001 to 2016. We identified three TPEs: TPE 1, the optimally irrigated Northwestern Plain Zone; TPE 2, the optimally irrigated, heat-stressed North Eastern Plains Zone; and TPE 3, the drought-stressed Central-Peninsular Zone. The correlated response to selection ranged from 0.4 to 0.9 within each TPE. The highest prediction accuracies for GY per TPE were derived using models that included genotype-by-environment interaction and/or meteorological information and their interaction with the lines. The highest prediction accuracies for TPEs 1, 2, and 3 were 0.37, 0.46, and 0.51, respectively, and the respective GY gains were 118, 46, and 123 kg/ha/year. These results can help fine-tune the breeding of elite wheat germplasm with stable yields to reduce farmers’ risk from year-to-year environmental variation in India’s wheat lands, which cover 30 million ha, account for 100 million tons of grain or more each year, and provide food and livelihoods for hundreds of millions of farmers and consumers in South Asia.

Evaluation of sugarcane genotypes with respect to sucrose yield across three crop cycles using GGE biplot analysis

2021 ◽  
pp. 1-13
Author(s):  
Aliya Momotaz ◽  
Per H. McCord ◽  
R. Wayne Davidson ◽  
Duli Zhao ◽  
Miguel Baltazar ◽  
...  
Keyword(s):  
Block Design ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Gge Biplot ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Genotype Environment Interaction ◽  
Area 5 ◽  
Randomized Complete Block Design ◽  
Main Effects

Summary The experiment was carried out in three crop cycles as plant cane, first ratoon, and second ratoon at five locations on Florida muck soils (histosols) to evaluate the genotypes, test locations, and identify the superior and stable sugarcane genotypes. There were 13 sugarcane genotypes along with three commercial cultivars as checks included in this study. Five locations were considered as environments to analyze genotype-by-environment interaction (GEI) in 13 genotypes in three crop cycles. The sugarcane genotypes were planted in a randomized complete block design with six replications at each location. Performance was measured by the traits of sucrose yield tons per hectare (SY) and commercial recoverable sugar (CRS) in kilograms of sugar per ton of cane. The data were subjected to genotype main effects and genotype × environment interaction (GGE) analyses. The results showed significant effects for genotype (G), locations (E), and G × E (genotype × environment interaction) with respect to both traits. The GGE biplot analysis showed that the sugarcane genotype CP 12-1417 was high yielding and stable in terms of sucrose yield. The most discriminating and non-representative locations were Knight Farm (KN) for both SY and CRS. For sucrose yield only, the most discriminating and non-representative locations were Knight Farm (KN), Duda and Sons, Inc. USSC, Area 5 (A5), and Okeelanta (OK).

scholarly journals Performance evaluation of commercial maize hybrids across diverse Terai environments during the winter season in Nepal

2016 ◽  
Vol 2 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Mahendra Prasad Tripathi ◽  
Jiban Shrestha ◽  
Dil Bahadur Gurung
Keyword(s):  
Grain Yield ◽  
Winter Season ◽  
First Year ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Site Analysis ◽  
Maize Cultivars ◽  
Genotype Environment Interaction ◽  
Winter Time ◽  
Hybrid Maize

The hybrid maize cultivars of multinational seed companies are gradually being popular among the farmers in Nepal. This paper reports on research finding of 117 maize hybrids of 20 seed companies assessed for grain yield and other traits at three sites in winter season of 2011 and 2012. The objective of the study was to identify superior maize hybrids suitable for winter time planting in eastern, central and inner Terai of Nepal. Across site analysis of variance revealed that highly significant effect of genotype and genotype × environment interaction (GEI) on grain yield of commercial hybrids. Overall, 47 genotypes of 16 seed companies identified as high yielding and stable based on superiority measures. The statistical analysis ranked topmost three genotypes among tested hybrids as P3856 (10515 kg ha-1), Bisco prince (8763 kg ha-1) as well as Shaktiman (8654 kg ha-1) in the first year; and 3022 (8378 kg ha-1), Kirtiman manik (8323 kg ha-1) as well as Top class (7996 kg ha-1) in the second year. It can be concluded that stable and good performing hybrids identified as potential commercial hybrids for general cultivation on similar environments in Nepal.

DESEMPENHO AGRONÔMICO E ESTABILIDADE DE TOPCROSSES DE MILHO AVALIADOS EM MINAS GERAIS E PARANÁ

2018 ◽  
Vol 17 (2) ◽  
pp. 303
Author(s):  
ANDRÉ GABRIEL ◽  
MARCOS VENTURA FARIA ◽  
GUILHERME MENDES BATTISTELLI ◽  
EVANDREI SANTOS ROSSI ◽  
CARLOS AUGUSTO DA SILVA ◽  
...  
Keyword(s):  
Plant Height ◽  
Minas Gerais ◽  
Environment Interaction ◽  
Agronomic Performance ◽  
Maize Hybrids ◽  
Genotype X Environment ◽  
Lattice Design ◽  
Genotype Environment Interaction ◽  
Genetic Potential ◽  
Ear Height

 RESUMO – O objetivo deste trabalho foi avaliar o desempenho agronômico e estabilidade fenotípica de híbridos topcrosses de milho oriundos do cruzamento com uma linhagem elite (testador), em quatro ambientes (Guarapuava- PR, Candói-PR, Guarda-Mor-MG e Paracatu-MG), utilizando os métodos Annicchiarico e AMMI para selecionar linhagens com elevado potencial genético. Foram avaliados 88 híbridos topcrosses e 12 híbridos comerciais (2B688, AG9010, AS1575, DKB390, GNZ2500, GNZ8132, GNZ9501, GNZ9505, P30F53, P30R50, P30F35 e Penta). O delineamento utilizado foi o látice triplo 10x10 e foram avaliadas as características agronômicas altura de planta (AP), altura de espiga (AE) e estabilidade produtiva de grãos (PG). Observou-se efeito significativo para genótipo, ambiente e interação genótipo x ambiente para a PG. A média de produtividade dos genótipos foi maior em Paracatu-MG (11.100 kg ha-1) que em Candói (9.654 kg ha-1), Guarapuava (9.456 kg ha-1) e Guarda-Mor (9.446 kg ha-1). Com base nos resultados de PG e estabilidade utilizando os métodos Annicchiarico e AMMI, o híbrido topcross HTC 136 mostrou ser o melhor para seguir no programa de melhoramento no processo de endogamia.Palavras-chave: Annicchiarico, AMMI, interação genótipo x ambiente, testador, Zea mayz L. AGRONOMIC PERFORMANCE AND STABILITY OF MAIZE TOPCROSSES IN MINAS GERAIS AND PARANÁ ABSTRACT – The objective of this study was to evaluate the agronomic performance and phenotype stability of top cross maize hybrids originated by crossing with an elite line (tester), in four environments (Guarapuava-PR, Candói- PR, Guarda-Mor-MG and Paracatu-MG), using the methods Annicchiarico and AMMI to select lines with high genetic potential. Thus, 88 top cross hybrids and 12 commercial hybrids (2B688, AG9010, AS1575, DKB390, GNZ2500, GNZ8132, GNZ9501, GNZ9505, P30F53, P30R50, P30F35 and Penta) were evaluated. The 10x10 triple lattice design was used evaluating the agronomic characteristics plant height (PH), ear height (EH) and yield stability of grain (YG). Significant differences were observed for genotype, environment and genotype x environment interaction for YG. The average productivity of the genotypes was superior in Paracatu-MG (11,100 kg ha-1) compared to Candói (9,654 kg ha-1), Guarapuava (9,456 kg ha-1) and Guarda-Mor (9,446 kg ha-1). The data on YG and stability using Annicchiarico and AMMI methods showed that the top cross hybrid HTC 136 is suitable to continue in the inbreeding process of the breeding program.Keywords: Annicchiarico, AMMI, genotype-environment interaction, tester, Zea mayz L.

Sign in / Sign up

Export Citation Format

Share Document