Stability of combining ability effects in maize hybrids

General and specific combining ability effects are important indicators in a maize (Zea mays L.) breeding program aiming hybrid development. The objectives of the present study were to estimate the general (GCA) and specific combining abilities (SCA) effects of commercial maize hybrids using a complete diallel scheme and to assess the stabilities of these estimates. Fifty-five entries were assessed; ten commercial single-crosses and all possible double-crosses. The experiments were carried out in 12 environments in the 2005/06 growing season. A randomized complete block design was used with three replications per environment. Ear yield was evaluated, corrected to 13% of moisture content. The combined diallel analysis involving all environments was performed and the stability of general and specific combining ability effects was investigated. The underlying nonparametric statistics evaluated the contribution of each effect to the genotype by environment interaction. Non-additive effects were more important for this set of hybrids than the additive effects. It was possible to select parents with high stability for combining ability and with high GCA.

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Genotype by environment interaction and yield stability of hybrid maize varieties evaluated in three locations of mid altitudes of Rwanda

10.31730/osf.io/48htq ◽

2021 ◽

Author(s):

Fabrice Rwasimitana ◽

Ngaboyisonga Claver ◽

Ukozehasi Celestin ◽

Eva Johansson

Keyword(s):

Field Experiments ◽

Block Design ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Ear Rot ◽

Yield Data ◽

Genotype By Environment ◽

Maize Varieties ◽

The Stability ◽

Hybrid Maize

A multi-environment yield trial is important to understand the genotype by environment interaction and to select high performing and stable crop varieties. The aim of this study was to identify high yielding and stable hybrid maize varieties for mid altitudes of Rwanda, to compare the performance of new hybrid varieties with commercial checks, and to determine the extent of genotype by environment interaction. Maize is a staple crop used to fight hunger and malnutrition in developing countries. Different varieties have been released to increase yield including Open Pollinated Varieties (OPVs) and hybrids. Genotype by Environment interaction is an issue that all breeding program need to overcome. In the future, improved varieties will be needed in order to increase income for farmers and help in food security Field experiments were conducted to assess the performance and the stability of 27 maize varieties in the mid altitudes zone of Rwanda in the Cyabayaga, Rubona and Bugarama sites. The experimental design was alpha lattice (0,1) with a Randomized Complete Block Design (RCBD). Data were collected for a number of characters i.e. silking, Antesis-Silking Interval (ASI), plant height, plant aspect, ear per plant, husk cover, ear aspect, ear rot and grain yield. Data were analyzed by GenS Stat statistical computer package, Discovery Edition. ANOVA and AMMI analysis were applied to assess the performance and the stability of varieties and the degree of genotype by environment interaction (G×E). In addition, Principal Component Analysis (PCA) and cluster analysis were conducted to assess relationships between varieties. The results showed that RHM1706, RHMM1701, RHM1409, RHMM1707, WH509, RHMM1704, RHM407, WH101, RHMM1710, RHMM1708, PAN53 and RHM104 were stable across locations. Furthermore, the evaluated varieties were found to cluster into five groups. Varieties found to be most stable are recommended for further use.

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Analysis of Genotype by Environment Interaction on Cocoa Hybrids (Theobroma cacao L.) Resistance to Phytophthora Pod Rot

Pelita Perkebunan (a Coffee and Cocoa Research Journal) ◽

10.22302/iccri.jur.pelitaperkebunan.v32i3.234 ◽

2016 ◽

Vol 32 (3) ◽

pp. 162-170

Author(s):

Agung Wahyu Soesilo ◽

Indah Anita Sari ◽

Bayu Setyawan

Keyword(s):

Block Design ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Gge Biplot ◽

Genotype By Environment ◽

Experimental Station ◽

Stability Performance ◽

Stable Performance ◽

Wet Climate ◽

The Stability

Phenomenon of genotype by environment interaction was able to influence the stability performance of cocoa resistance to Phytophthora pod rot (PPR). This research had an objective to evaluate the effect of genotype by environment interaction on resistance of cocoa hybrids to PPR. The tested hybrids were F1 crosses between selected clones of TSH 858, Sulawesi 1, Sulawesi 2, NIC 7, ICS 13, KEE 2 and KW 165. There were 14 tested hybrids and an open pollinated hybrid of ICS 60 x Sca 12 was used as control in multilocation trials at four different agroclimatic locations, namely Jatirono Estate ((highland-wet climate), Kalitelepak Estate (lowland-wet climate), Kaliwining Experimental Station (low land-dry climate) and Sumber Asin Experimental Station (highland-dry climate). Trials were established in the randomized complete block design with four replications. Resistance to PPR were evaluated based on the percentage of infected pod for the years during wet climate of 2010 in Jatirono, Kalitelepak and Kaliwining followed in dry climate of 2011–2015 in Kaliwining and Sumber Asin. Variance of data were analyzed for detecting the effect of genotype by environment interaction (GxE) then visualized with a graph of genotype main effect and genotype by environment interaction (a graph of GGE) biplot. There was consistently no interaction effect between hybrid and location to PPR incidence which was affected by single factor of hybrid, year, location and interaction between year and location. The effect of year indicated yearly change of weather was more important to PPR incidence than location difference. A graph of GGE biplot indicated a stable performance of the tested hybrids among locations.

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Evaluasi Stabilitas Hasil Jagung Hibrida Menggunakan Metode Genotype and Genotype by Environment Interaction Biplot (GGE BIPLOT)

Jurnal Penelitian Pertanian Tanaman Pangan ◽

10.21082/jpptp.v1n2.2017.p97-104 ◽

2017 ◽

Vol 1 (2) ◽

pp. 97

Author(s):

Slamet Bambang Priyanto ◽

Roy Efendi ◽

Bunyamin Z. ◽

M. Azrai ◽

M. Syakir

Keyword(s):

Grain Yield ◽

Block Design ◽

Genotype By Environment Interaction ◽

Yield Stability ◽

Environment Interaction ◽

Gge Biplot ◽

Maize Hybrids ◽

Genotype By Environment ◽

North Sulawesi ◽

South Sulawesi

<p class="Abstrak">Visualization of GGE biplot analyses was able to explain the genotype by environment interaction. This research was aimed to determine the yield stability of promising experimental maize hybrids in eight locations based GGE biplot method. Ten promising experimental maize hybrids and two commercial hybrid varieties as check, namely: HBSTK01, HBSTK03, HBSTK05, HBSTK06, HBSTK07, HBSTK08, HBSTK09, HBSTK10, HBSTK11, HBSTK13 and Bima 16 and Pertiwi 3 were evaluated in eight locations, ie. Bangka (Bangka Belitung), Probolinggo (East Java), Minahasa Utara (North Sulawesi), Donggala (Central Sulawesi), Soppeng, South Sulawesi, Gowa (South Sulawesi, Konawe (Southeast Sulawesi)and Lombok Barat (West Nusa Tenggara) from May to October 2013. The treatments were arranged in a randomized complete block design (RCBD) with 3 replications. Variable measured was grain yield. Analysis of variance was performed for data from each study site, to determine the performance of each genotype at each location. Yield stability analysis was performed by GGE biplot method using PB tools software. Results showed that genotype H9 (HBSTK11) had the highest biological stability with grain yield of 10.37 t/ha, higer than the overall mean yield. The best hybrid with the highest yield and good stability was hybrid H6 (HBSTK08) of 11.08 t/ha. This experimental hybrid is considered potential to be released as new hybrid variety. North Minahasa is considered the most suitable location for testing, whereas Konawe and West Lombok are least suitable, compared with the other locations.</p>

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

Bangladesh Journal of Botany ◽

10.3329/bjb.v50i2.54091 ◽

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)

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

Experimental Agriculture ◽

10.1017/s0014479721000144 ◽

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).

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Genotype by environment interaction for seeds yield in pea (Pisum sativum L.) using additive main effects and multiplicative interaction model

Euphytica ◽

10.1007/s10681-019-2515-1 ◽

2019 ◽

Vol 215 (11) ◽

Cited By ~ 2

Author(s):

Jan Bocianowski ◽

Jerzy Księżak ◽

Kamila Nowosad

Keyword(s):

Pisum Sativum ◽

Block Design ◽

Interaction Model ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Ge Interaction ◽

Multiplicative Interaction ◽

Genotype By Environment ◽

Randomized Complete Block Design ◽

Main Effects

Abstract The objective of this study was to evaluate the genotype by environment interaction using the additive main effects and multiplicative interaction model for seeds yield of pea cultivars grown in Poland. Twelve pea (Pisum sativum L.) cultivars: Bohun, Boruta, Cysterski, Ezop, Kavalir, Lasso, Medal, Santana, Tarchalska, Terno, Wenus and Zekon were evaluated in 20 environments (ten locations in 2 years). The experiment was laid out as randomized complete block design with three replicates. Seeds yield ranged from 26.10 dt ha−1 (for Wenus in Radostowo 2011) to 79.73 dt ha−1 (for Lasso in Słupia 2010), with an average of 50.70 dt ha−1. AMMI analyses revealed significant genotype and environmental effects as well as genotype-by-environment interaction with respect to seeds yield. In the analysis of variance, 89.19% of the total seeds yield variation was explained by environment, 1.65% by differences between genotypes, and 8.33% by GE interaction. The cultivar Terno is the highest stability. The cultivar Tarchalska is recommended for further inclusion in the breeding program because its stability and the highest averages of seeds yield.

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Genotype by Environment Interaction for Grain Yield of Barley Mutant Lines

Agriculture (Pol nohospodárstvo) ◽

10.2478/agri-2019-0006 ◽

2019 ◽

Vol 65 (2) ◽

pp. 51-58

Author(s):

Boryana Dyulgerova ◽

Nikolay Dyulgerov

Keyword(s):

Grain Yield ◽

Block Design ◽

Genotype By Environment Interaction ◽

Winter Barley ◽

Environment Interaction ◽

Genotype By Environment ◽

Growing Seasons ◽

Stable Mutant ◽

Check Variety ◽

Mutant Lines

Abstract The aim of this study was to examine the genotype by environment interaction for grain yield and to identify high-yielding and stable mutant lines of 6-rowed winter barley under different growing seasons. The study was carried out during 7 growing seasons from 2010 – 2011 to 2016 – 2017 in the experimental field of the Institute of Agriculture – Karnobat, Southeastern Bulgaria. Fourteen advanced mutant lines and the check variety Vesletc were studied using a complete block design with 4 replications. The AMMI analysis of variance indicated that 20.54% of the variation for grain yield was explained by the effect of genotype and 37.34% and 42.12% were attributable to the environmental effects and genotype by environment interaction. The magnitude of the genotype by environment interaction was two times larger than that of genotypes, indicating that there was a substantial difference in genotype response across environments. The AMMI and GGE biplot analyses identified G9 as the highest yielding and stable genotype. This mutant line can be recommended for further evaluation for variety release. The mutant lines G6, G13 and G15 were suggested for inclusion in the breeding program of winter barley due to its high grain yield and intermediate stability.

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GENOTYPE BY ENVIRONMENT AND STABILITY ANALYSES OF DRYLAND MAIZE HYBRIDS

10.21107/amzeri.2020.2 ◽

2020 ◽

Author(s):

Achmad Amzeri ◽

◽

B.S. DARYONO ◽

M. SYAFII ◽

◽

...

Keyword(s):

Grain Yield ◽

Block Design ◽

Yield Potential ◽

High Yield ◽

Environment Interaction ◽

Phenotypic Analysis ◽

Stability Parameters ◽

Early Maturity ◽

Maize Hybrids ◽

The Stability

The phenotypic analysis of new candidate varieties at multiple locations could provide information on the stability of their genotypes. We evaluated the stability of 11 maize hybrid candidates in five districts in East Java Province, Indonesia. Maize hybrids with high yield potential and early maturity traits derived from a diallel cross were planted in a randomized complete block design with two checks (Srikandi Kuning and BISI-2) as a single factor with four replicates. The observed traits were grain yield per hectare and harvest age. The effects of environment, genotype, and genotype × environment interaction on yield were highly significant (P < 0.01). KTM-1, KTM-2, KTM-4, KTM-5, and KTM-6 showed higher average grain yield per hectare than the checks (Srikandi Kuning = 8.49 ton ha−1 and BISI-2 = 7.32 ton ha−1) at five different locations. The average harvest age of 11 candidates was less than 100 days. KTM-4 and KTM-5 had production yields that were higher than the average yield of all genotypes in all environments (Yi > 7.78 tons ha−1) and were considered stable on the basis of three stability parameters, i.e., Finlay–Wilkinson, Eberhart–Russell, and additive main effect multiplicative interaction (AMMI). KTM-2 had the highest yield among all tested genotypes (9.33 ton ha−1) and was considered as stable on the basis of AMMI but not on the basis of Finlay–Wilkinson and Eberhart–Russell. KTM-1 performed well only in Pamekasan, whereas KTM-6 performed well only in Sampang. Thus, these two genotypes could be targeted for these specific locations.

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Boosting predictive ability of tropical maize hybrids via genotype‐by‐environment interaction under multivariate GBLUP models

Crop Science ◽

10.1002/csc2.20253 ◽

2020 ◽

Vol 60 (6) ◽

pp. 3049-3065

Author(s):

Matheus Dalsente Krause ◽

Kaio Olímpio das Graças Dias ◽

Jhonathan Pedroso Rigal dos Santos ◽

Amanda Avelar Oliveira ◽

Lauro José Moreira Guimarães ◽

...

Keyword(s):

Predictive Ability ◽

Genotype By Environment Interaction ◽

Environment Interaction ◽

Tropical Maize ◽

Maize Hybrids ◽

Genotype By Environment

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Recurrent selection in inbred popcorn families

Scientia Agricola ◽

10.1590/s0103-90162004000600008 ◽

2004 ◽

Vol 61 (6) ◽

pp. 609-614 ◽

Cited By ~ 14

Author(s):

Máskio Daros ◽

Antônio Teixeira do Amaral Jr. ◽

Messias Gonzaga Pereira ◽

Fabrício Santana Santos ◽

Ana Paula Cândido Gabriel ◽

...

Keyword(s):

Genetic Variability ◽

Recurrent Selection ◽

Agronomic Traits ◽

Block Design ◽

Genotype By Environment Interaction ◽

Small Scale ◽

Environment Interaction ◽

Genotype By Environment ◽

Randomized Complete Block Design ◽

Superior Genotypes

Although much appreciated in Brazil, commercial popcorn is currently cropped on a fairly small scale. A number of problems need to be solved to increase production, notably the obtaintion of seeds with good agronomic traits and good culinary characteristics. With the objective of developing superior genotypes in popcorn, a second cycle of intrapopulation recurrent selection based on inbred S1 families was carried out. From the first cycle of selection over the UNB-2U population, 222 S1 families were obtained, which were then divided into six sets and evaluated in a randomized complete block design with two replications within the sets. Experiments were carried out in two Brazilian localities. The analysis of variance revealed environmental effects for all evaluated traits, except popping and stand, showing that, for most traits, these environments affected genotype behavior in different ways. In addition, the set as source of variation was significant for most of the evaluated traits, indicating that dividing the families into sets was an efficient strategy. Genotype-by-environment interaction was detected for most traits, except popping expansion and stand. Differences among genotypes were also detected (1% F-test), making viable the proposition of using the genetic variability in the popcorn population as a basis for future recurrent selection cycles. Superior families were selected using the Smith and Hazel classic index, with predicted genetic gains of 17.8% for popping expansion and 26.95% for yield.

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