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Journal articles on the topic 'Stability of genotypes'

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Published: 2 June 2025

Last updated: 31 July 2025

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1

Williams, Martin M. "Genotype Adoption in Processing Sweet Corn Relates to Stability in Case Production." HortScience 52, no. 12 (2017): 1748–54. http://dx.doi.org/10.21273/hortsci12595-17.

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Yield stability (simply “stability”) is a crop genotype’s performance over a range of environmental conditions, such that a specific genotype may be less sensitive to environmental change (i.e., above-average stability) or more sensitive to environmental change (i.e., below-average stability) relative to other genotypes. The ideal genotype for most crops is believed to have both above-average yield and above-average stability. The objective of the study was to determine the pattern of genotype adoption and use of processing sweet corn in relation to yield and stability. I hypothesized that if

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2

T, Bayisa. "Stability Analysis of Bread Wheat Genotypes Using the AMMI Stability Model at Southeast Oromia." Food Science & Nutrition Technology 7, no. 1 (2022): 1–6. http://dx.doi.org/10.23880/fsnt-16000277.

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Ethiopia is the largest wheat producer in Sub- Saharan Africa. The productivity of wheat has increased in the last few years in the country, but low as compared to other countries. This low productivity is attributed to a number of factors including biotic, abiotic, shortage of high yielding and stable varieties. The objective of the present study is to identify high yielding and stable genotype. A total of twenty genotypes including Dambal (st. check) and Mada walabu (Local check) were evaluated for two cropping season 2017 and 2018 at four locations: Sinana, Agarfa, Goba and Gololcha. The ex

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3

Ortiz, Rodomiro, and Juan Izquierdo. "Yield Stability Differences among Tomato Genotypes Grown in Latin America and the Caribbean." HortScience 29, no. 10 (1994): 1175–77. http://dx.doi.org/10.21273/hortsci.29.10.1175.

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The environment substantially affects the performance of tomato (Lycopersicon esculentum Mill.) genotypes in Latin America and the Caribbean (LAC). Therefore, stability analysis can be used to select stable, high-yielding genotypes. Nine openpollinated and six hybrid tomato genotypes and the most representative local tomato cultivar were evaluated at 20 LAC locations. Each cultivar's yield stability was quantified using the regression of individual genotype's yield on the environmental index, which was measured by the mean of all the genotypes grown in an environment. A high-yielding and stabl

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Wakuma, Merga Sakata. "An overview of genotype x environment interaction and yield stability analysis in applied plant breeding: great emphasis given to coffee (Coffea arabica L.)." International Journal of Agricultural Research, Innovation and Technology 11, no. 2 (2021): 117–23. https://doi.org/10.3329/ijarit.v11i2.57264.

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The inconsistence of genotypes across location during plant breeding is the major challenges to the breeder. That is the differential response of genotypes to different environment. Meanwhile stability is the ability of a genotype to withstand stressful conditions and yet be able to produce yield. Thus, stability is an absolute and relative measure. Arabica coffee has location specific adaptation nature and that leads to highly significant instability in its breeding program. In the study of coffee bean yield stability cultivars tested at multi- locations within the domain of coffee growing ec

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EL-SHAARAWY, SAMER A., YAHUA M. ATTA, MOHAMED A. A. RAAFAT, and ABDEL-MOTY ZEINA. "GENOTYPE-ENVIRONMENT INTERACTION AND GENOTYPIC STABILITY FOR SOME EGYPTIAN COTTON GENOTYPES." Egyptian Journal of Agricultural Research 76, no. 2 (1998): 785–97. http://dx.doi.org/10.21608/ejar.1998.353706.

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6

K, RENGANAYAKI. "PHENOTYPIC STABILITY IN MUNGBEAN." Madras Agricultural Journal 82, june augest (1995): 425–27. http://dx.doi.org/10.29321/maj.10.a01222.

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Ten promising genotypes of mungbean were evaluated for yield and its components for three years. Genotype x environment component was significant for all the characters studied indicating the genotypes had divergent linear response to environmental changes. Non-predictable component of clusters per plant and predictable component (linear) for grain yield indicated that the genotypes responded non-linearly to the change of environments. Stability parameters revealed that among the genotypes studied, Co 4 exhibited high mean grain yield, number of clusters per plant. length of pod and number of

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7

Oghan, Hassan Amiri, Naser Sabaghnia, Valiollah Rameeh, Hamid Reza Fanaee, and Ebrahim Hezarjeribi. "Univariate Stability Analysis of Genotype×Environment Interaction of Oilseed Rape Seed Yield." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 64, no. 5 (2016): 1625–34. http://dx.doi.org/10.11118/actaun201664051625.

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Thirteen stability statistics were used to analyze genotype × environment (GE) interaction of 36 canola genotypes. Combined analysis of variance indicated that GE interaction significantly influenced seed yield performance. According to Type I stability concept (environmental variance, coefficient of variation and stability variance) genotypes G7, G9 and G13 were the most stable genotypes, while based on the Type II concept (coefficients of three linear regression models), genotypes G33, G27 and G29 could be selected as the most favorable genotypes. Also, genotype G7 was the most favorable ge

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8

Vaezi, Behrouz, Naser Sabgahnia, Asghar Mehraban, and Hamid Hatami-Maleki. "Nonparametric Analysis of Genotype Grain Yield Performance of Barley Trials Based on Ranks." Romanian Agricultural Research 39 (2022): 111–21. http://dx.doi.org/10.59665/rar3911.

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Plant breeding has been concerned with genotype by environment (GE) interaction and high yielding genotypes with stable performance are desirable while this target is difficult to achieve due to high environmental variations and unpredictable GE interaction. Stability of grain yield performance of 18 barley genotypes was evaluated at 5 locations for 3 years in the rainfed conditions and it was studied through 25 nonparametric stability methods. Four nonparametric tests indicated highly significant GE interaction due to differential performance of genotypes across fifteen environments. Regardin

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A, HENRY, DAULAY M.S, and GUPTA B.S. "PHENOTYPIC STABILITY IN CLUSTERBEAN." Madras Agricultural Journal 77, september December (1990): 417–21. http://dx.doi.org/10.29321/maj.10.a01981.

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There was a significant variation for genotypes and genotype x environment interaction for seed yield in cluster beans. The linear as well as non linear components were significant. Genotypes guar 46-P7 and guar 44-P15-2 were stable under fluctuating environmental conditions. Genotypes guar 46-P24-1, 4210(26), guar 46-P16-2, guar 44-P10 appeared to be the best for favourable growing seasons, while guar 46-P3-1, guar 46-P17-1 and guar 46-P27-1 were suitable for unfavourable growing conditions. The exploitation of these genotypes in a breeding programme will help in improving the productivity of

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Shrestha, Jiban, Ujjawal Kumar Singh Kushwaha, Bidhya Maharjan, et al. "Grain Yield Stability of Rice Genotypes." Indonesian Journal of Agricultural Research 3, no. 2 (2020): 116–26. http://dx.doi.org/10.32734/injar.v3i2.3868.

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Stability analysis identifies the adaptation of a crop genotype in different environments. The objective of this study was to evaluate promising rice genotypes for yield stability at different mid-hill environments of Nepal. The multilocation trials were conducted in 2017 and 2018 at three locations viz Lumle, Kaski; Pakhribas, Dhankuta; and Kabre, Dolakha. Seven rice genotypes namely NR11115-B-B-31-3, NR11139-B-B-B-13-3, NR10676-B-5-3, NR11011-B-B-B-B-29, NR11105-B-B-27, 08FAN10, and Khumal-4 were evaluated in each location. The experiment was laid out in a randomized complete block design wi

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11

Friesen, Lyle F., Anita L. Brûlé-Babel, Gary H. Crow, and Patricia A. Rothenburger. "Mixed model and stability analysis of spring wheat genotype yield evaluation data from Manitoba, Canada." Canadian Journal of Plant Science 96, no. 2 (2016): 305–20. http://dx.doi.org/10.1139/cjps-2015-0252.

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In western Canada and in many agricultural areas around the world, new crop genotypes are evaluated over a number of locations and years in multi-environment trials (MET) to investigate yield, yield stability, agronomic, and quality characteristics, with the ultimate goal to predict future genotype performance in commercial fields. This evaluation informs decisions about the commercial value of new crop genotypes, with a primary user of this information being farmers. Currently in many regions of Canada as the first step in analysis of this MET data, values usually are expressed as a percentag

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A, HENRY, and DAULAY H.S. "PHENOTYPIC STABILITY FOR SEED YIELD IN INDIAN RAPE." Madras Agricultural Journal 77, september December (1990): 522–25. http://dx.doi.org/10.29321/maj.10.a02014.

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The performance of 11 diverse promising genotypes of Indian rape (Brassica campestris L. var. toria) evaluated for genotype x environment interactions for seed yield in four environments revealed that the genotypes interacted considerably with environmental conditions. Both linear and non-linear components were significant. Genotypes Sangam, TGC 1, PT 507 B and T 9, performed better especially in high yielding environments. Out of these, except TGC 1, all had large deviation values from regression. Genotypes TLC 1, TK 6 and TH 63 were found promising under less favourable situations. PT 43 had

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SABAGHNIA, N., S. H. SABAGHPOUR, and H. DEHGHANI. "The use of an AMMI model and its parameters to analyse yield stability in multi-environment trials." Journal of Agricultural Science 146, no. 5 (2008): 571–81. http://dx.doi.org/10.1017/s0021859608007831.

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SUMMARYGenotype by environment (G×E) interaction effects are of special interest for breeding programmes to identify adaptation targets and test locations. Their assessment by additive main effect and multiplicative interaction (AMMI) model analysis is currently defined for this situation. A combined analysis of two former parametric measures and seven AMMI stability statistics was undertaken to assess G×E interactions and stability analysis to identify stable genotypes of 11 lentil genotypes across 20 environments. G×E interaction introduces inconsistency in the relative rating of genotypes a

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14

Gonçalves, Paulo de Souza, Mário Luiz Teixeira de Moraes, Lígia Regina Lima Gouvêa, Adriano Tosoni da Eira Aguiar, and Erivaldo José Scallopi Júnior. "Temporal stability for unpredictable annual climatic variability for Hevea genotype selection." Brazilian Archives of Biology and Technology 51, no. 1 (2008): 11–18. http://dx.doi.org/10.1590/s1516-89132008000100002.

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The objective of this study was to assess genotype-year interaction and determine temporal stable genotypes across six years of rubber yield evaluation. Stability analyses were performed by Eberhart and Russell method for rubber yield. Twenty-five genotypes were analyzed in a randomized complete block design with three replications. The best genotype in one year was not same always in the other year. The genotype components were partitioned into linear (genotypes within year) and nonlinear (pooled deviations) components. Significant mean square for linear components was predictable. This indic

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15

Al-Ashkar, Ibrahim, Mohammed Sallam, Nasser Al-Suhaibani, Abdullah Ibrahim, Abdullah Alsadon, and Abdullah Al-Doss. "Multiple Stresses of Wheat in the Detection of Traits and Genotypes of High-Performance and Stability for a Complex Interplay of Environment and Genotypes." Agronomy 12, no. 10 (2022): 2252. http://dx.doi.org/10.3390/agronomy12102252.

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The effect of traits and the interaction of genotype × environment (GE) is one of the major challenges in detecting traits and genotypes with outstanding performance and stability through various stresses and years. The objective of this study was to identify the genetic influence traits of wheat, and genotypes with outstanding performance and stability under different environmental stress. The trials were carried out in two consecutive seasons with three treatments (optimal irrigation, limited irrigation, and heat stress), totaling six test environments at two different locations. After obser

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16

KUMAR, AJAY, and T. S. DHILLON. "Stability of French bean (Phaseolus vulgaris) genotypes under diverse environments." Indian Journal of Agricultural Sciences 90, no. 1 (2020): 157–62. http://dx.doi.org/10.56093/ijas.v90i1.98663.

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The present investigation was undertaken to ascertain stable genotypes across six environments. Twenty five genotypes of French bean were evaluated for yield and quality traits in three different locations of Punjab during 2017–18. The stability of genotypes was worked out by using Eberhart and Russel (1966) and GGE biplot models. Highly significant mean squares for environments and genotype × environment interaction were recorded for all the traits except for protein content. The linear component of genotype × environment interaction was significant for all the characters under study. The hig

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17

Sakata, Wakuma Merga. "An overview of genotype x environment interaction and yield stability analysis in applied plant breeding: great emphasis given to coffee (Coffea arabica L.)." International Journal of Agricultural Research, Innovation and Technology 11, no. 2 (2022): 117–23. http://dx.doi.org/10.3329/ijarit.v11i2.57264.

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The inconsistence of genotypes across location during plant breeding is the major challenges to the breeder. That is the differential response of genotypes to different environment. Meanwhile stability is the ability of a genotype to withstand stressful conditions and yet be able to produce yield. Thus, stability is an absolute and relative measure. Arabica coffee has location specific adaptation nature and that leads to highly significant instability in its breeding program. In the study of coffee bean yield stability cultivars tested at multi- locations within the domain of coffee growing ec

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18

Sabaghnia, Naser, Mohtasham Mohammadi, and Rahmatollah Karimizadeh. "Yield stability of performance in multi-environment trials of barley (Hordeum vulgare L.) genotypes." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 61, no. 3 (2013): 787–93. http://dx.doi.org/10.11118/actaun201361030787.

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Fourteen new breeding lines obtained from the barley breeding programs, cultivar Izeh and one local check genotype were evaluated for yield stability at eleven environments. The combined analysis of variance indicated the significance of the environments, genotypes and genotype by environment interaction. According to the environmental variance (EV) and coefficient of variation (CV), genotypes G2, G12, G13 and G14 while based on Wi, P, PP and SH parameters genotypes G4, G10 and G12 were the most stable ones. Regarding both PI and MSPI parameters, genotypes G2, G10 and G11 were the most stable.

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Bose, Lotan, Nitiprasad Jambhulkar, and Kanailal Pande. "Genotype by environment interaction and stability analysis for rice genotypes under Boro condition." Genetika 46, no. 2 (2014): 521–28. http://dx.doi.org/10.2298/gensr1402521b.

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Genotype (G)?Environment (E) interaction of nine rice genotypes possessing cold tolerance at seedling stage tested over four environments was analyzed to identify stable high yielding genotypes suitable for boro environments. The genotypes were grown in a randomized complete block design with three replications. The genotype ? environment (G?E) interaction was studied using different stability statistics viz. Additive Main effects and Multiplicative Interaction (AMMI), AMMI stability value (ASV), rank-sum (RS) and yield stability index (YSI). Combined analysis of variance shows that genotype,

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20

Kaya, Yuksel, and Emel Ozer. "Parametric stability analyses of multi-environment yield trials in Triticale (xTriticosecale wittmack)." Genetika 46, no. 3 (2014): 705–18. http://dx.doi.org/10.2298/gensr1403705k.

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One of the main goals of Triticale (xTriticosecale Wittmack) Breeding Program of Turkey is to improve high yielding and stable genotypes across environments. In this study, 16 parametric stability methods were used to evaluate the genotype x environment interaction (GEI) in 9 (4 officially registered varieties and 5 advanced lines) triticale (xTriticosecale Wittmack) genotypes. The genotypes were evaluated for grain yield at 4 different locations for 3 years in rain-fed areas of Turkey. The testing locations have different climatic and edaphic conditions providing the conditions necessary for

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21

Kunwar, Chitra Bahadur, Ram Bahadur Katuwal, Sailendra Thapa, and Jiban Shrestha. "Grain yield stability of early maize genotypes." Journal of Maize Research and Development 2, no. 1 (2016): 94–99. http://dx.doi.org/10.3126/jmrd.v2i1.16219.

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The objective of this study was to estimate grain yield stability of early maize genotypes. Five early maize genotypes namely Pool-17, Arun1EV, Arun-4, Arun-2 and Farmer’s variety were evaluated using Randomized Complete Block Design along with three replications at four different locations namely Rampur, Rajahar, Pakhribas and Kabre districts of Nepal during summer seasons of three consecutive years from 2010 to 2012 under farmer’s fields. Genotype and genotype × environment (GGE) biplot was used to identify superior genotype for grain yield and stability pattern. The genotypes Arun-1 EV and

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dos Santos, Adriano, Francisco Eduardo Torres, Erina Vitório Rodrigues, et al. "Nonlinear Regression and Multivariate Analysis Used to Study the Phenotypic Stability of Cowpea Genotypes." HortScience 54, no. 10 (2019): 1682–85. http://dx.doi.org/10.21273/hortsci14322-19.

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This study aimed to evaluate the adaptability and phenotypic stability of cowpea genotypes using a nonlinear regression analysis and multivariate analysis. Experiments were performed at four sites in Brazil using a randomized blocks design with 20 treatments and four replications. The adaptability and stability of genotypes were evaluated by Toler nonlinear regression and genotype plus genotype × environment (GGE) biplot methodologies. Most of the genotypes revealed linear response patterns, with no differences regarding the favorable and unfavorable environments. Regarding the genotype classi

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A, HENRY, and DAULAY H.S. "PHENOTYPIC STABILITY FOR SEED YIELD IN TARAMIRA." Madras Agricultural Journal 77, september December (1990): 510–11. http://dx.doi.org/10.29321/maj.10.a02009.

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Genotype x environment interactions investigated for seed yield in taramira (Eruca sativa L.) during winter seasons over three years revealed significant variation for genotypes and genotype x environment interaction for seed yield. The major portion of the interaction was accounted for by the presence of linear components as non-linear component was non significant. The genotype RTM-1 gave the maximum mean seed yield and showed near unit responses under fluctuating environments. Genotypes LDCH-2 and RTM-2 performed better under favourable and unfavourable growing seasons respectively.

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Wardofa, Gadisa A., Hussein Mohammed, Dawit Asnake, and Tesfahun Alemu. "Genotype X Environment Interaction and Yield Stability of Bread Wheat Genotypes in central Ethiopia." Journal of Plant Breeding and Genetics 7, no. 2 (2019): 87–94. http://dx.doi.org/10.33687/pbg.007.02.2847.

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The present study was conducted to interpret Genotype main effect and GEI obtained by AMMI analysis and group the genotype having similar response pattern over all environments. Fifteen bread wheat genotypes were evaluated by RCBD using four replications at six locations in Ethiopia. The main effect differences among genotypes, environments, and the interaction effects were highly significant (P ≤ 0.001) for the total variance of grain yield. Results of AMMI analysis of mean grain yield for the six locations showed significant differences (P0.001) among the genotypes, environments and GEI. The

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Sanwal, Satish Kumar, Anita Mann, Hari Kesh, Gurpreet Kaur, Raj Kumar, and Arvind Kumar Rai. "Genotype environment interaction analysis for fruit yield in okra (Abelmoschus esculentus L.) under alkaline environments." Indian Journal of Genetics and Plant Breeding (The) 81, no. 01 (2021): 101–10. http://dx.doi.org/10.31742/ijgpb.81.1.11.

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Twenty four Okra genotypes were evaluated for marketable fruit yield and its related traits for genotype environment interaction during 2015-16 and 2016-17. The genotypes were exposed to alkaline environment with a pH range of 8.0±0.2, 8.5±0.2, 9.0±0.2 and 9.5±0.2. A significant level of deviation in expression of different traits was observed in all the genotypes with increasing pH. Based on Additive Main Effects and Multiplicative Interaction (AMMI), Genotype and Genotype Environment Interaction (GGE) biplot, Wrick’s ecovalence (Wi2 ), AMMI Stability Value (ASV) and Yield Stability Index (YS

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Sabaghnia, Naser, Rahmatollah Karimizadeh, and Mohtasham Mohammadi. "Using Additive Main Effect and Multiplicative Interaction Model for Exploration of Yield Stability in Some Lentil (Lens Culinaris Medik.) Genotypes." Plant Breeding and Seed Science 67, no. 1 (2014): 45–59. http://dx.doi.org/10.2478/v10129-011-0069-z.

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AbstractThe additive main effect and multiplicative interaction (AMMI) analysis has been indicated to be effective in interpreting complex genotype by environment (GE) interactions of lentil (Lens culinarisMedik.) multienvironmental trials. Eighteen improved lentil genotypes were grown in 12 semiarid environments in Iran from 2007 to 2009. Complex GE interactions are difficult to understand with ordinary analysis of variance (ANOVA) or conventional stability methods. Combined analysis of variance indicated the genotype by location interaction (GL) and three way interactions (GYL) were highly s

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Uddin, Md Saleh, Md Sultan Alam, Nasrin Jahan, Kazi Md Wayaz Hossain, and Md Ali Newaz. "Genotype x environment interaction of wheat genotypes under salinity environments." Asian Journal of Medical and Biological Research 3, no. 1 (2017): 38–43. http://dx.doi.org/10.3329/ajmbr.v3i1.32034.

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Genotypes x environment interaction as well as stability of performance were determined for grain yield and yield contributes of 12 wheat genotypes under four salinity levels of environments (control, 8, 12, 16 dS/m). Significant genotype-environment interaction (linear) for days to heading, plant height, number of spikes per plant and grains per spikes, 1000-grain weight and grain yield per plant at 1% level of probability when tested against pooled deviation. Both the environment (linear) and genotype x environment (linear) components of variation for stability were also significant indicati

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Derebe, Alemu Dessa. "Bulb Yield Stability in Shallot: The Case of Eighteen Shallot Genotypes Evaluated under Southeastern Ethiopia Highlands." Greener Journal of Agronomy, Forestry and Horticulture 2, no. 1 (2014): 014–21. https://doi.org/10.15580/gjafh.2014.1.1223131049.

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Study was carried out to identify stable shallot genotypes with better yield performance over range of environments during 2008-2009 cropping season at south eastern highlands of Ethiopia. Eighteen shallot genotypes were evaluated including standard check (Huruta) and Local check over six environments (2 years x 3 locations) using randomized complete block design with three replications. Data was analyzed using MSTATC and IRRSTAT statistical softwares for combined analysis of variance and stability study respectively. Additive Main Effect and Multiplicative Interaction (AMMI) model was employe

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Abdelghany, Ahmed M., Shengrui Zhang, Muhammad Azam, et al. "Exploring the Phenotypic Stability of Soybean Seed Compositions Using Multi-Trait Stability Index Approach." Agronomy 11, no. 11 (2021): 2200. http://dx.doi.org/10.3390/agronomy11112200.

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In order to ensure an ongoing and long-term breeding progress of soybean, stable sources of major quality traits across multi-environments need to be identified. Here, a panel of 135 soybean genotypes was tested in three different Chinese environments, including Beijing, Anhui, and Hainan during the 2017 and 2018 growing seasons to identify stable genotypes for cultivation under varying environmental conditions. The weighted average of absolute scores biplot (WAASB) for the best linear unbiased predictions of the genotype-environment interaction and multi-trait stability index (MTSI) were util

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S.T., Ponsiva, Senthilkumar N., Vanitha J., et al. "Detection of superior rice genotypes and yield stability using AMMI and MTSI models." Electronic Journal of Plant Breeding 15, no. 2 (2024): 405–13. http://dx.doi.org/10.37992/2024.1502.057.

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Multi-environment yield trials and multi-trait stability analyses are essential to identify the superior genotype. The aim of this research was to assess the adaptation and stability of rice genotypes using additive main effect and multiplicative interaction (AMMI) and genotype plus genotype by environment (GGE) biplot analysis and multi-trait stability index (MTSI). In this study, 20 rice genotypes were evaluated for three seasons at the same location during 2020–21. Based on AMMI analysis, the genotypes G22 (Vandana), G32 (IC-0098989), G34 (IC-0135769), G60 (ADT 36), G61 (ADT 37), and G64 (A

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Abiola, Toyin Ajayi, Emmanuel Gbadamosi Alaba, and Osekita O.S. "Genotype × environment interaction and adaptation of cowpea genotypes across six planting seasons." Frontiers in Life Sciences and Related Technologies 3, no. 1 (2022): 7–15. https://doi.org/10.51753/flsrt.1036051.

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Cowpea exhibits significantly inconsistent performances across different environments, and hence demands performance evaluation of genotypes prior release or cultivation in every breeding program. Hence, the goal of this study was to compare 16 cowpea genotypes over six planting seasons (2014-2019) in Akungba-Akoko, Nigeria for their stability and adaptation through Finlay and Wilkinson (FW), Additive Main Effects and Multiplicative Interaction (AMMI) and Genotype and Genotype × Environment (GGE) analyses. ANOVA revealed high significant genotype (15.33%), environment (14.71%) and GEI (6

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Fouladvand, Mahmoud, Asa Ebrahimi, Mahdi Rahaie, and Vahid Shariati. "The Stability of Sugar Yield in Promising Sugarcane Genotypes (Saccharum officinarum L.)." International Journal of Agronomy 2024 (January 18, 2024): 1–12. http://dx.doi.org/10.1155/2024/5540112.

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Stability analysis is one of the most important steps that a breeder should use to release a new variety for a region. To identify and introduce the best sugarcane genotypes, an experiment with 26 promising Sugarcane genotypes along with four commercial varieties was planned and implemented during 2017–2019. This study aimed to determine a promising stable sugarcane genotype for the sugarcane-growing areas of Khuzestan Province in Iran. The effects of genotype × environment interactions on the sugar yield of 26 promising sugarcane genotypes and four standard varieties as controls were investig

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Shojaei, Seyed Habib, Khodadad Mostafavi, Mohammad Reza Bihamta, et al. "Stability on Maize Hybrids Based on GGE Biplot Graphical Technique." Agronomy 12, no. 2 (2022): 394. http://dx.doi.org/10.3390/agronomy12020394.

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In this study, 12 maize hybrids were planted and evaluated to determine the effect of genotype and genotype-environment interaction (GEI) base GGE (genotype plus genotype-by-environment) using a Graphical biplot technique in four research stations (Arak, Birjand, Shiraz and Karaj) within two years using a Randomized Complete Blocks Design (RCBD). The combined analysis of variance showed that the effects of the environment, genotype and genotype-environment interaction (GEI) were significant in the one percent probability level. GGE biplot results indicated that the first and second principal c

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Filio, Yoshua Liberty, Haris Maulana, Reviana Aulia, et al. "Evaluation of Indonesian Butterfly Pea (Clitoria ternatea L.) Using Stability Analysis and Sustainability Index." Sustainability 15, no. 3 (2023): 2459. http://dx.doi.org/10.3390/su15032459.

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Yield and yield attributes are important components in genotypic evaluation. The butterfly pea is a native plant of Indonesia, and it is considered an underutilized crop. The goals of this study were to evaluate genotypes using environment (year) interactions (GEIs) with yield and yield attributes, and evaluate butterfly pea genotypes based on stability measurements and sustainability index (SI). The study was conducted at the Ciparanje Experimental Field, Faculty of Agriculture, Universitas Padjadjaran using 35 butterfly pea genotypes in a randomized complete block design with two replication

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Martirosyan, H., and H. Nikkhahkouchaksaraei. "STABILITY ANALYSIS AND TOLERANT TO WATER DEFICIT IN BARLEY AND WHEAT GENOTYPES." Scientific heritage, no. 92 (July 7, 2022): 3–8. https://doi.org/10.5281/zenodo.6837743.

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To evaluation of several wild wheat and barley genotypes in response to water deficit stress, experiments were laid out in randomized complete block design with three replicates in optimal and stress condition environment for three years. Data analysis showed a significant genetic diversity within genotypes in terms of grain yield, and the existence of significant genotype × environment interaction, made it possible to analyze data for genotypes stability to environment in this study. The stability analysis showed that Garni (an emmer variety) was recognized as the most stable genotype t

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de Oliveira Neto, Sebastião Soares, Douglas Mariani Zeffa, Gustavo Henrique Freiria, et al. "Adaptability and Stability of Safflower Genotypes for Oil Production." Plants 11, no. 5 (2022): 708. http://dx.doi.org/10.3390/plants11050708.

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The study aimed to analyze the agronomic performance of 11 safflower genotypes using adaptability and stability methods, while identifying safflower genotypes with stable behavior and a high grain yield in different environments of the Brazilian Cerrado. Ten lines and a cultivar of safflower were evaluated in four environments in the Brazilian conditions. Our results revealed the genotypes P30, P35, P9, P11, and P31 to be superior for grain yield and P43, P7, P11, and P31 to be superior for oil content. The lowest Wricke index, an indication of genotype stability, was observed for P9 (0.41%),

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Anuarbek, Shynar, Vladimir Chudinov, Grigorij Sereda, et al. "YIELD STABILITY ANALYSIS OF BREAD WHEAT GENOTYPES IN KAZAKHSTAN." Experimental Biology 100, no. 3 (2024): 56–68. http://dx.doi.org/10.26577/bb.2024.v100.i3.05.

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Bread wheat (Triticum aestivum L.) is a significant crop for human nutrition and global food security. Ensuring stable wheat yields is crucial, as fluctuations in production can have major effects on food availability and prices globally. We evaluated 82 bread wheat genotypes in two growing seasons using multi-environment trial analysis in Kazakhstan to identify superior genotypes using AMMI-based stability statistics. The analysis of variances (ANOVA) of AMMI showed that environmental effects largely explained yield variability (87.6 %), whereas the contribution of genotype (2.79 %) and genot

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Tahir, Izzat S. A., Elfadil M. E. Elbashier, Hala M. Mustafa, et al. "Durum Wheat Field Performance and Stability in the Irrigated, Dry and Heat-Prone Environments of Sudan." Agronomy 13, no. 6 (2023): 1598. http://dx.doi.org/10.3390/agronomy13061598.

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Developing climate-resilient crop varieties with better performance under variable environments is essential to ensure food security in a changing climate. This process is significantly influenced, among other factors, by genotype × environment (G × E) interactions. With the objective of identifying high-yielding and stable genotypes, 20 elite durum wheat lines were evaluated in 24 environments (location–season combination) during 5 crop seasons (2010/11–2014/15). The REML (residual maximum likelihood)-predicted means of grain yield of 16 genotypes that were common across all environments rang

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Mohammadi, Mohtasham, Peyman Sharifi, and Rahmatollah Karimizadeh. "Stability Analysis of Durum Wheat Genotypes by Regression Parameteres in Dryland Conditions." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 62, no. 5 (2014): 1049–56. http://dx.doi.org/10.11118/actaun201462051049.

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The objectives of this study were to estimate genotype × environment (GE) interaction effects and to determine the stable durum wheat (Triticum turgidum var. durum Desf.) genotypes for grain yield in warm winter areas of Iran. Twenty durum wheat genotypes, including 18 experimental lines and two local checks were evaluated during three cropping seasons (2004–2006) at five research sites. The combined analysis of variance indicated that the main effects of location and genotype and interaction effects of genotype × year, genotype × location and genotype × year × location were highly significant

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Adham, Azmi, Mohamad Bahagia Ab Ghaffar, Asmuni Mohd Ikmal, and Noraziyah Abd Aziz Shamsudin. "Genotype × Environment Interaction and Stability Analysis of Commercial Hybrid Grain Corn Genotypes in Different Environments." Life 12, no. 11 (2022): 1773. http://dx.doi.org/10.3390/life12111773.

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The introduction of superior grain corn genotypes with high and stable yield (YLD) in most environments is important to increase local production and reduce dependency on imported grain corn. In this study, days to tasseling (DT), plant height, and YLD of 11 grain corn genotypes were observed in 10 environments to evaluate the effects of genotype (G), environment (E), and genotype by environment interactions (GEI) using GGE analysis and the stability of genotypes using stability parameters. In each location, grain corn genotypes were arranged in three replications using a randomized complete b

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Mushoriwa, Hapson, Isack Mathew, Eastonce T. Gwata, Pangirayi Tongoona, and John Derera. "Grain Yield Potential and Stability of Soybean Genotypes of Different Ages across Diverse Environments in Southern Africa." Agronomy 12, no. 5 (2022): 1147. http://dx.doi.org/10.3390/agronomy12051147.

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Soybean [Glycine max (L.) Merrill] is an important crop in southern Africa where it is cultivated in a wide range of agro-ecologies. Both spatial and seasonal variability is high in the region. As a result, breeders aim to release varieties with a fine balance of high productivity potential and stability. Genotype × environment interaction (GEI) limits the selection of superior genotypes in heterogeneous environments consequently slowing down breeding progress. This study determined the magnitude of GEI effects and genotype superiority index of soybean genotypes of different ages across three

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Assunção, Iraildes P., Liliane D. Nascimento, Mércia F. Ferreira, Francisco J. Oliveira, Sami J. Michereff, and Gaus SA Lima. "Reaction of faba bean genotypes to Rhizoctonia solani and resistance stability." Horticultura Brasileira 29, no. 4 (2011): 492–97. http://dx.doi.org/10.1590/s0102-05362011000400008.

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The production of faba bean (Phaseolus lunatus) is limited due to the occurrence of Rhizoctonia canker, caused by the fungus Rhizoctonia solani. In order to select materials with potential for use in faba beans breeding programs and/or disease integrated management, 72 genotypes were evaluated and also stability of the disease resistance in relation to different pathogen isolates, inoculum densities and soil type. The seeds were sown in soil infested with the pathogen by the addition of colonized substrate (rice grains). The evaluation of genotypes was done after 15 days, using a note scale to

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Tembhurne, B. V., P. H. Kuchanur, and B. D. Biradar. "Stability analysis for yield and productivity traits in rabi sorghum (Sorghum bicolor) under protective irrigation." Indian Journal of Agricultural Sciences 82, no. 9 (2012): 742–5. http://dx.doi.org/10.56093/ijas.v82i9.23826.

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The phenotypic stability of nine sorghum [Sorghum bicolor (L.) Moench] genotypes was studied for grain yield and productivity traits during 2004, 2005 and 2006. Analysis of variance revealed significant differences among the environments indicating adequate heterogeneity of environments and their suitability for evaluating the genotypes. The mean sum of squares for genotypes were also significant for days to 50% flowering, 100-seed weight, grain yield/plant, fodder yield/ha and harvest index revealing genetic variability among genotypes for these traits. The genotype × environment interactions

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Amelework, Assefa B., Michael W. Bairu, Roelene Marx, Mark Laing, and Sonja L. Venter. "Genotype × Environment Interaction and Stability Analysis of Selected Cassava Cultivars in South Africa." Plants 12, no. 13 (2023): 2490. http://dx.doi.org/10.3390/plants12132490.

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Cassava (Manihot esculenta Crantz) is an important root crop worldwide. It is adapted to a wide range of environmental conditions, exhibiting differential genotypic responses to varying environmental conditions. The objectives of this study were: (1) to examine the effect of genotype, environment and genotype × environment interaction (GEI) on fresh root yield (FRY) and dry matter content (DMC); and (2) to identify superior genotypes that exhibit high performance for the traits of interest using the genetic tools of additive main effects and multiplicative interaction (AMMI) and genotype stabi

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Hasing, Tomas N., Luis F. Osorio, and Vance M. Whitaker. "Within-season Stability of Strawberry Soluble Solids Content." Journal of the American Society for Horticultural Science 138, no. 3 (2013): 190–97. http://dx.doi.org/10.21273/jashs.138.3.190.

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Previous studies have recognized considerable variation in the soluble solids content (SSC) of strawberries (Fragaria ×ananassa) during Florida’s fruiting season. Cultivars with stable fruit SSC over time would be valued in the commercial industry as a result of their more uniform quality. The within-season stability of 410 genotypes from the strawberry breeding program of the University of Florida was estimated using data from clonally replicated first-year seedlings and advanced selections evaluated at two locations over two consecutive seasons. Stability was measured using a linear regressi

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Fasahat, Parviz, Javad Rezaei, Heydar Azizi, et al. "Stability analysis is used to evaluate sugar beet genotypes with the goal of maximizing root and white sugar yield." Biometrical Letters 62, no. 1 (2025): 29–48. https://doi.org/10.2478/bile-2025-0002.

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Abstract Sugar beet is regarded as a main source of sugar supply alongside sugarcane. To evaluate new promising hybrids in terms of stability and adaptability, six distinct environments were used to sow 15 different sugar beet genotypes. The results of the combined analysis of variance showed that genotype, environment, and their interaction had a significant impact on root yield and white sugar yield. Among 15 genotypes, using AMMI biplot analysis, G5 and G14 were distinguished as adaptive and high-yielding genotypes for root yield, and G6 for white sugar yield. The interaction between the fi

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Abdulahi, A., S. Pourdad, and R. Mohammadi. "Stability analysis of seed yield in safflower genotypes in Iran." Acta Agronomica Hungarica 57, no. 2 (2009): 185–95. http://dx.doi.org/10.1556/aagr.57.2009.2.10.

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To assess the stability and yield performance of safflower genotypes and to identify subregions within Iran, a set of experiments was conducted at six locations during 2003–2005. AMMI model analysis and some stability parameters derived from the grain yield were used. AMMI analysis showed differences between genotypes and environments and the GE interaction was highly significant, indicating that the agro-climatic environmental conditions were different, and that there was a differential response of the genotypes to the environments. The first two IPCA components of the GE interaction explaine

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R.C, MISRA. "GENOTYPE ENVIRONMENT INTERACTION AND STABILITY ANALYSIS IN BLACKGRAM." Madras Agricultural Journal 77, september December (1990): 531–33. http://dx.doi.org/10.29321/maj.10.a02017.

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A set of 21 premising genotypes of blackgram were evaluated in Summer, Kharif and Rabi seasons during 1983, 1984 and 1985. Pooled analysis of variance indicated significant differences among the genotypes and the environments. Moreover the genotype x environment interaction was highly significant indicating differential performance of the genotypes under varied environmental conditions. The genotypes UG 301, OBG 2, UH 28, OBG 1, UG 191 and T 9 showed higher yield and stability of yield performance. UG 301 and UH 28 were better adapted to rich environments, while T 9 was more suitable for poor

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Fikre, Demis, Gizaw Wegayehu, Kedir Jaleto, Nimona Fufa, and Dasta Tsagaye. "Yield Performance and Stability of White Cumin (Trachyspermum ammi L.) Genotypes under Multi Environmental Condition." Asian Journal of Agricultural and Horticultural Research 12, no. 2 (2025): 88–102. https://doi.org/10.9734/ajahr/2025/v12i2371.

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The study was conducted to estimate the effects of genotype, environment, and their interaction on yield and to assess the stability of white cumin genotypes for yield across different testing environments. Nine white cumin genotypes were evaluated using RCBD with three replications at four locations in Ethiopia. The result of combined analysis of variance showed highly significant (p<0.01) differences among genotypes for all traits, the genotype × environment interaction showed highly significant differences for all traits except the number of umbels plant-1. The variances accounted for by

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McELROY, A. R., and B. R. CHRISTIE. "GENOTYPE × ENVIRONMENT INTERACTIONS FOR IN VITRO DIGESTIBILITY OF TIMOTHY (Phleum pratense L.) GENOTYPES." Canadian Journal of Plant Science 66, no. 2 (1986): 315–21. http://dx.doi.org/10.4141/cjps86-045.

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Improved in vitro digestibility (IVD) is an important goal in timothy (Phleum pratense L.) breeding. This study examines the effect of genotype × environment (GE) interactions on individual genotypes and examines two methods for identifying superior parental genotypes. Fifteen genotypes of similar maturity were grown in simulated swards (100 plants m−2) at five locations. IVD was determined at early heading. Highly significant effects were found for genotype, year, location and all their interactions. A regression stability analysis indicated that most genotypes responded in a predictable mann

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