scholarly journals ECOFI: a database of sugar and energy cane field trials

2020 ◽  
Vol 6 ◽  
pp. 14-18
Author(s):  
Mathias Christina ◽  
Maxime Chaput ◽  
Jean-François Martiné ◽  
Sandrine Auzoux
Keyword(s):  
Meteorological Parameters ◽  
Field Trials ◽  
Dry Mass ◽  
Crop Model ◽  
Environment Interaction ◽  
Energy Cane ◽  
Genotype X Environment ◽  
Genotype By Environment ◽  
Crop Cycle ◽  
Water Contents

Agroecological studies on sugarcane dealing with genotype by environment by management interactions commonly generate complex datasets. To facilitate the use of these datasets, a relational database, named ECOFI, was designed from the analysis of the content and the structure datasets of multidisciplinary experiments with sugarcane and energy cane. The database described in this paper includes data from 58 trials carried out in 11 countries from 1986 to 2016, including 24 trials in Reunion Islands and 15 in Guadeloupe. Taking into account plots within the trials and crop cycle, it includes 725 crop cycles in total, with 60 different cultivars. The datasets contain data for crop observations (e.g. dry mass), soil (water contents), weather (all essential meteorological parameters) and management (sowing, cultivars and harvest). Additionally the datasets contain metadata to qualify observations. This dataset provides an adequate experimental set to calibrate or validate crop model simulations under genotype x environment interaction.

scholarly journals Correlations between grain yield and related traits in winter wheat under multi-environmental traits

2020 ◽  
Vol 12 (4) ◽  
pp. 295-300
Author(s):  
N. Tsenov ◽  
T. Gubatov ◽  
I. Yanchev
Keyword(s):  
Winter Wheat ◽  
Grain Yield ◽  
Multiple Correspondence Analysis ◽  
Triticum Aestivum L ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Wheat Grain ◽  
Genotype By Environment ◽  
Grain Number Per Spike

Abstract. In a series of field trials, a database of quantitative traits associated with winter wheat grain yield has been collected. The aim of the present study is to determine the relationships between the winter wheat (Triticum aestivum L.) traits of productivity in environments causing the maximum possible variation of each of the traits. In order to determine the correlations between the quantitative characters studied, all possible statistical methods have been applied (regression analysis, PCA, Multiple Correspondence analysis), which complement each other. It was found that the nature of the correlations between traits depends to a large extent on the methods for their evaluation. There are high and significant correlations between grain yields and the grain number per spike (weight of grain per spike and number of grains per m2) even under strong genotype by environment interaction of all the traits in trails. The established results are related to possible options for increasing winter wheat grain yield by breeding.

scholarly journals Genotype by environment interaction for seed yield per plant in rapeseed using AMMI model

2011 ◽  
Vol 46 (2) ◽  
pp. 174-181 ◽  
Author(s):  
Ana Marjanović-Jeromela ◽  
Nevena Nagl ◽  
Jelica Gvozdanović-Varga ◽  
Nikola Hristov ◽  
Ankica Kondić-Špika ◽  
...  
Keyword(s):  
Seed Yield ◽  
Block Design ◽  
Total Yield ◽  
Interaction Model ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Yield Potential ◽  
High Yield ◽  
Environment Interaction ◽  
Genotype By Environment

The objective of this study was to assess genotype by environment interaction for seed yield per plant in rapeseed cultivars grown in Northern Serbia by the AMMI (additive main effects and multiplicative interaction) model. The study comprised 19 rapeseed genotypes, analyzed in seven years through field trials arranged in a randomized complete block design, with three replicates. Seed yield per plant of the tested cultivars varied from 1.82 to 19.47 g throughout the seven seasons, with an average of 7.41 g. In the variance analysis, 72.49% of the total yield variation was explained by environment, 7.71% by differences between genotypes, and 19.09% by genotype by environment interaction. On the biplot, cultivars with high yield genetic potential had positive correlation with the seasons with optimal growing conditions, while the cultivars with lower yield potential were correlated to the years with unfavorable conditions. Seed yield per plant is highly influenced by environmental factors, which indicates the adaptability of specific genotypes to specific seasons.

scholarly journals Modelling of genotype by environment interaction to improve the recommendation of sugarcane cultivars for the state of Goiás, Brazil

2021 ◽  
Vol 56 ◽  
Author(s):  
Rafael Ferreira Montes ◽  
Flávio Breseghello ◽  
João Batista Duarte
Keyword(s):  
Environmental Factors ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
The State ◽  
Specific Yield ◽  
Maximum Temperature ◽  
Environment Interaction ◽  
Average Temperature ◽  
Genotype By Environment ◽  
Selection Of

Abstract The objective of this work was to identify environmental factors with significant effects on the genotype by environment interaction (GEI) of sugarcane, and to generate thematic maps yield adaptability of genotypes for the state of Goiás, Brazil, through the integrated use of factorial regression models and the geographic information system (GIS). The study was based on the yield of recoverable sugar (YRS) from cultivar field trials carried out in nine locations. Fourteen environmental factors were used, out of which 11 were divided into 10 crop growth phases, totaling 113 environmental covariates (ECs). The selection of ECs was done by successive simple linear regressions, and the respective genotypic sensitivity coefficients were used to generate adaptability maps. Approximately 57% of the GEI effects were related to the covariates longitude, average temperature at crop germination phase, and maximum temperature at the beginning of the phase of greatest growth. For YRS, the RB034128 and RB034021 clones show specific yield adaptations, and the RB034045 cultivar can share the growing area with the RB867515 check cultivar.

scholarly journals Assessment of Genotype x Environment Interactions of Chickpea Genotypes to High Temperature Tolerance under Different Environmental Conditions

2020 ◽  
pp. 1-9
Author(s):  
Avinalappa Hotti ◽  
Raghunath Sadhukhan
Keyword(s):  
High Temperature ◽  
Seed Yield ◽  
Block Design ◽  
Genotype By Environment Interaction ◽  
High Temperature Stress ◽  
Temperature Tolerance ◽  
Yield Component ◽  
Environment Interaction ◽  
Genotype X Environment ◽  
Genotype By Environment

The present investigation was conducted using twenty two chickpea genotypes including check varieties under different sowing conditions in West Bengal to identify the genotypes that are tolerance to high temperature stress by assessing their genotype x environment (G x E) interactions. The experiment was organised in Randomized Complete Block Design with two replications over two consecutive years during 2014-15 and 2015-16. The data obtained from the yield component traits of these genotypes was undergone to two way analysis of variance to understand the existence of genotype by environment interaction. Significant differences in crop phenology were observed among the genotypes of chickpea from all tested environments while the interaction was significant for all the traits under study except number of seeds per pod. Thus, variation in response of the genotypes to different planting condition was observed. After determining the significance of genotype by environment interaction, the data was further subjected to additive main effects and multiplicative interaction (AMMI) analysis in order to estimate the main effect of genotypes as well as genotypic and environmental components of interaction for seed yield of chickpea genotypes. According to the AMMI model, 79.49 and 79.92 per cent of the total sum of squares was attributed to the environmental effects, whereas 20.22 and 17.93 per cent had attributed to genotype, while 0.29 and 2.15 per cent to genotype by environment interaction across the respective years. Hence, the maximum proportion of the variation in seed yield was gained from normal sown condition. The genotypes ICCV 10 and RSG 963 produced equal yield under late sown condition, as demonstrated by the AMMI biplot. Therefore, the adaptability of these genotypes to different environments can be qualitatively assessed and recommended to use in breeding programs targeting of chickpea for growing in warmer areas.

scholarly journals Evaluation of new NS maize hybrids using biplot analysis

Genetika ◽  
2012 ◽  
Vol 44 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Milisav Stojakovic ◽  
Mile Ivanovic ◽  
Goran Bekavac ◽  
Aleksandra Nastasic ◽  
Bozana Purar ◽  
...  
Keyword(s):  
Grain Yield ◽  
Field Trials ◽  
Environment Interaction ◽  
Maize Hybrids ◽  
Genotype X Environment ◽  
Pests And Diseases ◽  
Standard Data ◽  
Biplot Analysis ◽  
Grain Moisture ◽  
Stalk Lodging

The study analyzed two-year results of a testing of 20 new maize hybrids from FAO MG 600 as compared to a standard. Data on the hybrids NS6683, NS6686, NS281633, and NS396432 are discussed in the paper in greater detail. In order to study grain yield, grain moisture, root and stalk lodging, and resistance to pests and diseases, field trials using a RCB design with four replicates were conducted in six locations in 2009 and five locations in 2010. The results were presented in the form of GGE biplots in order to rank hybrids relative to the standard while taking into account the genotype x environment interaction and to identify the highest-yielding genotypes in different environments. It was determined that the new NS hybrids had higher grain yield than the standard by 0.883 to 1.720 tha-1, lower grain moisture by 0.85 to 2.54%, better tolerance to root and stalk lodging, and pest and disease resistance on a par to the standard. The study identified so-called ideal locations for particular hybrids, which may be of use when determining which areas the hybrids are best suited for.

scholarly journals Selection of carioca common bean lines with slow darkening

2021 ◽  
Vol 56 ◽  
Author(s):  
Helton Santos Pereira ◽  
Fabiana Rocha Mendonça ◽  
Ludivina Lima Rodrigues ◽  
Leonardo Cunha Melo ◽  
Patrícia Guimarães Santos Melo ◽  
...  
Keyword(s):  
Common Bean ◽  
Seed Coat ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Grain Weight ◽  
High Yield ◽  
Environment Interaction ◽  
Mean Values ◽  
Genotype By Environment ◽  
Selection Of

Abstract The objective of this work was to evaluate the interaction between genotypes and environment for seed-coat darkening of common bean (Phaseolus vulgaris) seeds, in order to select lines that combine slow darkening, upright plants, resistance to lodging, and higher yield and 100-grain weight, with good adaptability and stability for these traits. Forty four pre-selected lines, originating from crosses between one cultivar with slow darkening and prostrate plants and four cultivars with normal darkening and upright plants, were evaluated in field trials conducted in 15 environments (combinations of locations, crop seasons, and years). Considering the mean values, adaptability, and stability for each isolated trait, most of the lines presented satisfactory performance: 75% for slow darkening, 48% for high yield, 59% for upright plants, 84% for resistance to lodging, and 68% for 100-grain weight. The effects of environments and of the genotype by environment interaction are important for the five studied traits. The CNFC 16754 and CNFC 16820 lines present slow seed-coat darkening, high yield and 100-grain weight, more upright plant architecture, and greater resistance to lodging, besides high adaptability and stability for these traits, which shows their potential for recommendation as new cultivars and confirms that it is possible to join desirable phenotypes for the five traits evaluated.

scholarly journals Genotype by environment interaction for main winter triticale varieties characteristics at two levels of technology using additive main effects and multiplicative interaction model

Euphytica ◽  
2021 ◽  
Vol 217 (2) ◽  
Author(s):  
Jan Bocianowski ◽  
Anna Tratwal ◽  
Kamila Nowosad
Keyword(s):  
Field Experiments ◽  
Block Design ◽  
Interaction Model ◽  
Field Trials ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Multiplicative Interaction ◽  
Winter Triticale ◽  
Genotype By Environment ◽  
Main Effects

AbstractThe aim of this study was to assess genotype by environment interaction for grain yield, plant height and thousand-grain weight in winter triticale cultivars by the additive main effects and multiplicative interaction (AMMI) model. The study comprised of ten winter triticale varieties i.e.: Algoso, Baltiko, Grenado, Magnat, Moderato, Pawo, Todan, Trimester, Trismart and Witon. Field trials were performed at seven locations in three years (21 environments) in a randomized complete block design, with two replicates at two levels of cultivation technology (standard – A1 and intensive – A2). Field experiments were carried out as part of Post Registration Variety Trials in Wielkopolska region. AMMI analyses revealed significant genotype and environmental effects as well as genotype by environmental interaction with respect to all three observed traits in both levels of cultivation intensity. The cultivars Algoso, Baltiko and Trimester are recommended for further inclusion in the breeding programs because of their stability and good average values of observed traits.

Using AMMI approach to delineate genotype by environment interaction and stability of barley (Hordeum vulgare L.) genotypes under northern Indian shivalik hill conditions

2020 ◽  
Vol 80 (03) ◽  
Author(s):  
Om Prakash Yadav ◽  
A. K. Razdan ◽  
Bupesh Kumar ◽  
Praveen Singh ◽  
Anjani K. Singh
Keyword(s):  
Hordeum Vulgare ◽  
Grain Yield ◽  
Principal Component ◽  
Genotype By Environment Interaction ◽  
Environment Interaction ◽  
Hordeum Vulgare L ◽  
Genotype By Environment ◽  
Biplot Analysis ◽  
Principal Component Axis ◽  
Ammi Analysis

Genotype by environment interaction (GEI) of 18 barley varieties was assessed during two successive rabi crop seasons so as to identify high yielding and stable barley varieties. AMMI analysis showed that genotypes (G), environment (E) and GEI accounted for 1672.35, 78.25 and 20.51 of total variance, respectively. Partitioning of sum of squares due to GEI revealed significance of interaction principal component axis IPCA1 only On the basis of AMMI biplot analysis DWRB 137 (41.03qha–1), RD 2715 (32.54qha–1), BH 902 (37.53qha–1) and RD 2907 (33.29qha–1) exhibited grain yield superiority of 64.45, 30.42, 50.42 and 33.42 per cent, respectively over farmers’ recycled variety (24.43qha–1).

Sign in / Sign up

Export Citation Format

Share Document