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Artykuły w czasopismach na temat „Genotype x location interaction”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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1

Welu, Gebremedhin. "Genotype X Environment Interaction of Food Barley." Ecoprint: An International Journal of Ecology 21 (July 10, 2015): 41–48. http://dx.doi.org/10.3126/eco.v21i0.11903.

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The objective of this experiment was to estimate the magnitude of genotype X environment interaction on grain yield and yield related traits. Twelve varieties of food barley were included in the study planted in randomized complete block design with three replications. The ANOVA of combined and individual location revealed significant differences among the food barley genotypes for grain yield and other traits. The results of ANOVA for grain yield showed highly significant (p≤0.01) differences among genotypes evaluated for grain yield at Maychew and significant (p≤0.05) differences in Korem, A

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Dewi, Suprayanti Martia, Sobir ,, and Muhamad Syukur. "Interaksi Genotipe x Lingkungan Hasil dan Komponen Hasil 14 Genotipe Tomat di Empat Lingkungan Dataran Rendah." Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) 43, no. 1 (2015): 59. http://dx.doi.org/10.24831/jai.v43i1.9592.

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Genotype x environment interaction (GxE) information is needed by plant breeders to assist the identification of superior genotype. Stability analysis can be done if there is a GxE interaction, to show the stability of a genotype when planted in different environments. This study aimed to estimate the effects of genotype x environment interaction on yield and yield components of fruit weight per plant as well as to look at the stability of 14 tomato genotypes at four lowland locations. The study was conducted at four locations, namely Purwakarta, Lombok, Tajur and Leuwikopo. Experiments at eac

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Damnjanović, Jelena, Suzana Pavlović, Zdenka Girek, et al. "Influence of genotypes and environment on eggplant yield." Selekcija i semenarstvo 27, no. 2 (2021): 11–20. http://dx.doi.org/10.5937/selsem2102011d.

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One of the goals in eggplant breeding (Solanum melongena L .) is higher yield, as well as adaptation to different environments. Our study included 20 different eggplant genotypes. The experiment was conducted at three different locations (Smederevska Palanka, Vranovo and Kusadak) using a randomized complete block design in three replications. The influence of two factors on yield per plant was examined: genotype and location. Two-factor ANOVA showed a significant influence of genotype, location as well as genotype x location interaction on yield per plant . After the analysis of 20 genotypes a

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Amare, Birhanu, Fetien Abay, and Yemane Tsehaye. "Evaluation of Sweet Potato (Ipomea batata l.) Varieties for Total Storage Root Yield in South and South East Zones of Tigray, Ethiopia." American Journal of Trade and Policy 1, no. 2 (2014): 74–78. http://dx.doi.org/10.18034/ajtp.v1i2.366.

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Seven sweet potato varieties (Bellela, Kabode, Kulfo, LO, Temesgen, Tulla and Vitae) were tested in southern and eastern zones of Tigra, Ethiopiay in 2012 to evaluate their total root yield potential. Randomized complete block design with three replications was used for the experiment Yield data was analyzed using combined ordinary analysis of variance and the additive main effect and multiplication interaction effect model (AMMI). The combined analysis of variance across locations showed significant variation among genotypes, locations and the genotypes by locations interaction for the total

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5

Amzeri, Achmad, Suhartono, Gita Pawana, Alfian Ma’arif, and Iswanto Suwarno. "Genotype by Environment Interaction on Early-Maturing and High-Yield Maize Hybrids." Journal of Human, Earth, and Future 4, no. 1 (2023): 54–69. http://dx.doi.org/10.28991/hef-2023-04-01-05.

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productivity in drylands in Indonesia. Trials of hybrid maize candidates in several locations and different seasons are highly needed to determine the stability of hybrid maize candidates prior to commercial release. The objectives of the research were: (1) to evaluate the performance of maize hybrids in several locations and different seasons; (2) to assess the stability of early-maturing and grain yield characteristics of genotypes evaluated in several locations and seasons; and (3) to determine hybrid maize candidates that can be released as new superior/elite varieties. The research was co

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6

Acevedo Barona, Marco Antonio, Rubén José Silva Díaz, Rosaura Desirée Perdomo Rojas, Iris Betzaida Pérez Almeida, Rosa María Álvarez Parra, and Orlando José Torres Angarita. "Genotype x environment interaction for yield of rice hybrids and inbred varieties in Venezuela." Acta Agronómica 71, no. 1 (2023): 73–80. http://dx.doi.org/10.15446/acag.v71n1.91101.

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Performance tests in multiple locations are essential to study the genotype x–environment interaction, as well as to identify superior genotypes and testing locations. The objective of this study was to evaluate the adaptability and stability of rice hybrids and inbred varieties for grain yield. Six experiments were conducted in rice-producing areas of Venezuela using a randomized complete block design during the dry season of 2015-2016. The ANOVA detected significant differences for genotype, location, and genotype-by-location interaction, highlighting the hybrid by location interaction. The

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7

Ajay, B. C., R. Abdul Fiyaz, S. K. Bera, et al. "Higher Order AMMI (HO-AMMI) analysis: A novel stability model to study genotype-location interactions." Indian Journal of Genetics and Plant Breeding (The) 82, no. 01 (2022): 25–30. http://dx.doi.org/10.31742/ijgpb.82.1.4.

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Additive main effects and multiplicative interaction (AMMI) model is most widely used to analyze genotype x environment interactions (GEI) wherein interaction effects of location is masked by year effect. Hence, presently available models are not able to estimate interaction effects of genotype x location (GLI) and genotype x year (GYI) separately. Moreover, genotype ranking differs as number of years of evaluation vary making selection of genotype for target location difficult. In the present study, a novel stability model i.e., Higher-order-AMMI (HO-AMMI) analysis which can calculate GLI wit

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8

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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9

Nataraj, V., N. Pandey, R. Ramteke, et al. "GGE biplot analysis of vegetable type soybean genotypes under multi-environmental conditions in India." Journal of Environmental Biology 42, no. 2 (2021): 247–53. http://dx.doi.org/10.22438/jeb/42/2/mrn-1405.

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Aim: To understand the magnitude and pattern of genotype-environment interaction in vegetable type soybeans and to identify mega environment(s) and best performing genotype(s) across environments. Methodology: Five vegetable type soybean genotypes were evaluated across five geographical locations viz., Indore, Parbhani, Adilabad, Bengaluru and Pune, during rainy season of 2018. Genotypes were grown in a plot size of 1.35 x 3 m2 in three replications in randomized block design. Data on green pod yield, green seed test weight, days to 50% flowering, days to maturity and plant height were recorde

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10

Hasan KILIÇ, Hasan, Abuzer SAĞIR, and Yunus BAYRAM. "Estimates of Genotype x Environment Interactions and Heritability of Black Point in Durum Wheat." Notulae Scientia Biologicae 1, no. 1 (2009): 92–96. http://dx.doi.org/10.15835/nsb113447.

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Experiments were carried out in four different locations with 14 durum wheat genotypes in two successful seasons of 1999-2000 and 2000-2001. Black point disease of genotypes was evaluated by interactions of genotypes and environment as well as heritability (h2). It was found that black point disease affected differently in different locations and growing seasons. This indicates that the genotypes have different adaptation ability for traits studied in different locations. Heritability rate that variance analyzes accepted means squares calculated was found as phenotypic variance rate of genotyp

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11

Butler, D. G., R. J. Redden, I. H. DeLacy, and T. Usher. "Analysis of line x environment interactions for yield in navy beans. 1. Components of variance." Australian Journal of Agricultural Research 51, no. 5 (2000): 597. http://dx.doi.org/10.1071/ar97135.

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Multi-environment yield trials of navy bean (Phaseolus vulgaris L.) lines were grown over a diverse range of locations for the years 1983–1989 in Queensland, in an unbalanced set of line × location × year combinations. This is the first in a series of 3 papers reporting different perspectives on the genotype × environment (G×E) interactions in this series of experiments. In this paper, restricted maximum likelihood (REML) estimates of G×E components of variation were derived using trial means in both standard and extended models where concomitant genotype and location factors such as maturity,

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12

Yaya, Toure, Soumahoro Brahima Andre, Kone Tchoa, and Kone Mongomake. "SEEDLING EMERGENCE STABILITY OF BAMBARA GROUNDNUT [VIGNASUBTERRANEA L. (VERDC.)] UNDER SAVANNA AND HUMID RAIN FOREST AREAS CONDITIONS DURING TWO CROPPING SEASONS IN COTEDIVOIRE." International Journal of Advanced Research 9, no. 11 (2021): 01–10. http://dx.doi.org/10.21474/ijar01/13705.

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The yield of Bambara groundnut [Vignasubterranea L. (Verdc.)] is extremely low and unpredictable. Erratic yields have been attributed, at least in part, to variable or poor field establishment due to seedling emergence. The aim of this study wasto evaluate under field conditions, the effects of genotype and environment on seedling emergence in Bambara groundnut. Field experiment was conducted with 15 landraces in Northern and Southern regions of Cote dIvoire. A randomized complete block design with five replications was used in each environment. Estimated variables included number of day for e

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13

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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14

Kuswantoro, Heru, Lestari Ujianto, Apri Sulistyo, and Dan Ratri Tri Hapsari. "Hasil dan Komponen Hasil Galur-Galur Kedelai di Dua Lokasi." Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) 44, no. 1 (2016): 26. http://dx.doi.org/10.24831/jai.v44i1.12488.

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ABSTRACT<br /><br />Genotype x environment interaction always presents in soybean multilocation trials in Indonesia. The objective of the research was to determine the performance of yield and yield components of soybean promising lines in two locations. A total of 11 promising lines, and three check varieties (Tanggamus, Wilis, and Anjasmoro) were evaluated in NTB and DIY in dry season 2013. The design was randomized complete block design with three replications. The results showed that yield and yield components were influenced by locations, genotypes and genotypes x locations in

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15

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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16

Oyekunle, M., S. G. Ado, and I. S. Usman. "Assessment of repeatability and representativeness of testing sites for provitamin a maize in savanna agro-ecologies of Nigeria." Bayero Journal of Pure and Applied Sciences 13, no. 2 (2021): 54–64. http://dx.doi.org/10.4314/bajopas.v13i2.7.

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Identification of ideal testing sites for selection of superior maize (Zea mays L.) germplam is vital to the success of a maize breeding programme. Sixteen provitamin A maize genotypes were evaluated at seven locations in savanna agro-ecologies of Nigeria for 3 yr to assess the representativeness, discriminating ability, and repeatability of the testing sites and to identify ideal testing sites for selection of superior maize germplasm. Location, year, and their interaction effects were significant for grain yield and mostmeasured traits while genotype and genotype ´x year interactive effects

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17

Wolff, David W., Marvin E. Miller, and Carmen Lander. "148 GENOTYPE X ENVIRONMENT INTERACTIONS OF MUSKMELON HYBRIDS FOR YIELD AND FRUIT SIZE." HortScience 29, no. 5 (1994): 450a—450. http://dx.doi.org/10.21273/hortsci.29.5.450a.

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The nature and magnitude of genotype × environment interactions will determine the extent of testing required (locations, years) to accurately evaluate a genotype's performance. Data from yearly T-AES muskmelon variety trials were analyzed to determine the level of variety (V) × year (Y), V × location (L), and V × Y × L interactions for yield and fruit size. Data analyzed were of nine hybrids grown at three commercial farms over two years. Fruits were harvested similar to grower practices, and were sorted into size classes (9 - 30) or culls. V × Y and V × L interactions for marketable yield an

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18

G, Alemu. "Genotype X Environment Interaction for Quality Traits in Advanced Bread Wheat Genotype in Ethiopia." Food Science & Nutrition Technology 4, no. 2 (2019): 1–10. http://dx.doi.org/10.23880/fsnt-16000176.

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The study was conducted to evaluate the effect of GEI and its magnitude on the grain quality of bread wheat genotypes in Ethiopia. 15 bread wheat genotypes were evaluated using RCBD with four replications at six different locations in Ethiopia during 2017/18 cropping season. Combine Analysis of variance showed highly significant (P<0.001) differences among genotype, environment and GEI for investigated quality traits except GEI shows non-significant difference in dry gluten and gluten index. The environment contributed more than 50% only in PC (83.6%) and HLW (56.1%). The three components,

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19

Hasan, M. J., M. U. Kulsum, M. S. Hossain, M. M. Billah, and A. Ansary. "GENOTYPE-LOCATION INTERACTION OF INDICA RICE USING AMMI MODEL." Bangladesh Journal of Plant Breeding and Genetics 24, no. 2 (2011): 09–18. http://dx.doi.org/10.3329/bjpbg.v24i2.17001.

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Phenotypic stability of 12 rice genotypes for plant height, days to maturity and yield were assessed at five different locations through regression and deviation from regression using Additive Main Effect and Multiplicative Interaction (AMMI) model. The result showed highly significant genotypic and G x E interaction. The G x E interaction influenced the relative ranking of the genotypes tested, BR1A/BR827R, Teea, BRRI dhan33 and Mayna showed low interaction effect with score nearest to zero with above average yield. While two genotypes BRRI hybrid dhan4 and Heera995 exhibited high positive in

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20

Marid, Yidnekachew, and Hailu lire. "Analysis of Maize Yield Stability and Genotype by Environment Interaction Based on GGE Biplot Graphical Technique." EAS Journal of Veterinary Medical Science 5, no. 05 (2023): 38–44. http://dx.doi.org/10.36349/easjvms.2023.v05i05.001.

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Conducting multi-location trials along with the commercial varieties and genotype by environment (G x E) data analysis are vital to breeders to develop superior genotypes and to meet the challenges posed by environmental factors. This research was undertaken to evaluate maize hybrids for yield, to assess the effect of G x E on grain yield, and determine the yield stability of hybrids across major maize growing areas of Ethiopia. A total of 24 maize hybrids including standard checks (BH546, BH547, BH661 and Limu) were evaluated at six locations (Bako, Jimma, Pawe, Ambo Wendogenet and Asosa) in

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21

Madhavilatha, L., M. ShanthiPriya, N. Anuradha, C. V. Chandra Mohan Reddy, P. Soumya, and M. Hemanth Kumar. "Stability Analyses for Yield and Its Components in Little Millet (Panicum sumatrense L.)." Journal of Scientific Research and Reports 30, no. 5 (2024): 99–107. http://dx.doi.org/10.9734/jsrr/2024/v30i51926.

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Linear regression model of Eberhart and Russell is used to identify high yielding stable little millet genotypes suitable across environments. Pooled analysis of variance revealed significant genetic variability among the little millet genotypes for yield and yield attributing traits. Significant variability among environments confirms the heterogeneity in the locations for the traits. Significant genotype x environment interaction for all the traits indicated differential response of the genotypes for the traits in different locations. Among genotypes BL-6, LMNDL-4, LMNDL-3, OLM 203, VS 13, V

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22

K, Jhansi Rani, Sai Kumar R, and Sudarshan M R. "Identification of Stable Maize Hybrids Over Environments." Madras Agricultural Journal 99, September (2012): 435–37. http://dx.doi.org/10.29321/maj.10.100107.

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The objective of the present study was to analyse the pattern of genotype x environment interaction for grain yield in experimental maize hybrids. The Additive Main Effects and Multiplicative Interaction(AMMI) model was applied to yield data obtained from a zonal trial conducted over five locations, involving fourteen experimental and three commercial hybrid checks. AMMI analysis indicated genotype, environment and the genotype x environment interaction were significant. The first two principal components were significant and jointly accounted for 74.5% of total interaction. Based on PCA value

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23

Dalló, Samuel Cristian, Andrei Daniel Zdziarski, Leomar Guilherme Woyann, et al. "Key locations for soybean genotype assessment in South Brazil region." Semina: Ciências Agrárias 41, no. 3 (2020): 767. http://dx.doi.org/10.5433/1679-0359.2020v41n3p767.

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Mitigating the high costs of soybean breeding programs requires constant improvement of all the involved processes. Identifying representative and discriminating test locations, as well as excluding redundant and/or non-representative locations, makes it possible to select genotypes with more accuracy while reducing the costs of the multi-environment trials (MET). Therefore, this study had three objectives: to evaluate the representativeness and discriminating power of test locations; to identify similar test locations for each Edaphoclimatic Region (ECR) and locations that did not contribute

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Bull, JK, DM Hogarth, and KE Basford. "Impact of genotype multiply environment interaction on response to selection in sugarcane." Australian Journal of Experimental Agriculture 32, no. 6 (1992): 731. http://dx.doi.org/10.1071/ea9920731.

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The impact of genotype x environment interaction on the response to 3 methods of selection in sugarcane was assessed over 3 locations and 3 cropyears. The 3 selection methods considered were 2 previously used procedures, mass (individual) selection using a visual appraisal of clonal performance and family selection using selection rate, and a new procedure, family selection using a net merit grade (NMG) derived from weighing family plots. Within the 2 forms of family selection, light mass selection based on a visual appraisal of clonal performance was used to reject the poorest clones. The gai

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Wahyu Soesilo, Agung, Indah Anita Sari, and Bayu Setyawan. "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) 32, no. 3 (2016): 162–70. http://dx.doi.org/10.22302/iccri.jur.pelitaperkebunan.v32i3.234.

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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 ((hi

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Adediran, B. O., M. A. Ayo-Vaughan, O. J. Ariyo, O. S. Sakariyawo, C. O. Aremu, and D. O. Ibitoye. "Genotype by Environment Interaction in Soybean and its Implications for Crop Improvement." International Journal of Plant & Soil Science 35, no. 18 (2023): 162–73. http://dx.doi.org/10.9734/ijpss/2023/v35i183280.

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Adequate production of soybean [Glycine max (L.) Merr.] in Nigeria depends on selection of varieties combining high grain yield with stability. Soybean farmers are recurrently faced with the limitation of selecting the best genotype for available environments at their disposal for the production of this crop. Soybean genotypes (23) and two landraces were therefore evaluated in three environments: Abeokuta, Ibadan upland and Ibadan in-land valley in 2017 to select genotype that combines high yield and stability. The experiment in each environment was arranged in a randomized complete block desi

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Bibi, Tahira, Hafiz Mustafa, Tariq Mahmood, Amir Hameed, and Qurban Ali. "Multivariate analysis for adaptability and yield stability of rapeseed (Brassica napus L.) strains in different agro-climatic zones." Genetika 50, no. 2 (2018): 369–78. http://dx.doi.org/10.2298/gensr1802369b.

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Plant breeders always look for high yielding genotypes based on both genotype and G ? E (interaction of genotype with environment) for stability and adaptability in diversified environmental conditions. This present study consists of eight Brassica napus L. strains using RCBD design with three replications and conducted at eight locations in Punjab province, Pakistan to determine general and specific adaptability in 2014-2015. Additive main effects and multiplicative interactions (AMMI) study showed that the environments (86.65%) have more influence to treatment sum of squares as compare to th

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Akanwe Asiwe, Joseph Nwafor. "Heritability for Morphological Traits Determine Adaptability of Elite Cowpea Genotypes in different Environments." International Journal of Agriculture and Biology 26, no. 01 (2021): 105–14. http://dx.doi.org/10.17957/ijab/15.1814.

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Lack of improved and high-yielding adapted varieties constitutes limitation to cowpea (Vigna unguiculata (L.) Walp) production in South Africa. Therefore, field trials were conducted in two locations (the University of Limpopo Experimental Farm, (Mankweng) and Towoomba Research Station, Bela-Bela) during 2015–16 and 2016–17, to assess yield components, genotype x environment interaction as well as the adaptability of elite cowpea genotypes. The experiment was laid out using a randomized complete block design in three replications. Data were collected on flowering, maturity and yield components

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Th. Renuka Devi, Danisa Dube, and Ph Ranjit Sharma N. B. Singh. "Phenotypic Stability Analysis for Seed Yield and its Associated Traits in Advanced Lines of Indian Mustard (Brassica juncea L. Czern and Coss)." International Journal of Current Microbiology and Applied Sciences 10, no. 11 (2021): 133–41. http://dx.doi.org/10.20546/ijcmas.2021.1011.017.

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Phenotypic Stability Analysis for Seed Yield and its Associated Traits In advanced lines of Indian Mustard (Brassica juncea L. Czern and Coss)” was carried out to study the effects of different environments on seed yield and its associated traits, to estimate the magnitude of Genotype x Environment interaction and to find out the most stable and high yielding genotype among the selected lines of Indian mustard under different environments of different topography, soil texture and prevailing climatic conditions of Manipur. Fifteen genotypes were evaluated in 3 different locations (Andro, Iroise

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Muhammad Ejaz, Faiza Aziz, Muhammad Nadeem Sadiq, Abdullah Baloch, and Muhammad Hamzeh. "Effect of genotype × environment interaction on grain yield factors in durum wheat." International Journal of Frontiers in Science and Technology Research 5, no. 1 (2023): 019–28. http://dx.doi.org/10.53294/ijfstr.2023.5.1.0074.

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Identifying environment-specific and widely adapted genotypes is necessary through understanding of environmental interaction (GEI). To estimate the enormousness of genotype (G), environment (E) and GEI results on yield and yield components and it is necessary to conduct multi-locations trials of durum wheat. During the year 2019/20 cropping season eleven (11) durum wheat genotypes were appraised under three locations within Balochistan, Pakistan. Almost all traits exhibit significant results for combined analyses of variance for genotypes (G) and Genotype X Environmental Interaction (GEI), th

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Kimunye, Janet, Kennedy Jomanga, Anthony Fredrick Tazuba, et al. "Genotype X Environment Response of ‘Matooke’ Hybrids (Naritas) to Pseudocercospora fijiensis, the Cause of Black Sigatoka in Banana." Agronomy 11, no. 6 (2021): 1145. http://dx.doi.org/10.3390/agronomy11061145.

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Growing bananas resistant to Pseudocercospora fijiensis, the cause of black Sigatoka, is the preferred disease control strategy for resource-poor farmers. Banana breeding programs in east Africa have developed 27 Matooke hybrids (commonly known as NARITAs) with higher yields than local landraces. To assess the response of NARITA hybrids to P. fijiensis, 22 hybrids were evaluated under natural field conditions in four locations—Kawanda and Mbarara in Uganda, and Maruku, and Mitarula in Tanzania—between 2016 and 2018 for three crop cycles. Black Sigatoka was visually assessed and the area under

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Nafisah, Nafisah Nafisah, Zairin Zairin, Satoto Satoto, Ali Jamil, and Priatna Sasmita. "Genotype by Environment for Grain Yield of Salt tolerance Rice Genotypes in Coastal Saline Area." Jurnal Penelitian Pertanian Tanaman Pangan 4, no. 1 (2020): 9. http://dx.doi.org/10.21082/jpptp.v4n1.2020.p9-16.

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<p>Multi-environment experiment could reveal the performance and adaptation of the advanced breeding lines for specific or general environment. The objective of the present investigation was to analyze the pattern of Genotype x Environment (G x E) interaction for grain yield of 67 genotypes by Additive Main effects and Multiplicative Interaction (AMMI) model using the data generated from observational yield trial in three different coastal rice environment in Indonesia including one site in coastal of Eretan, Indramayu (West Java) and two sites in the coastal area of Mataram, West Nusate

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Thuraga, Vishnukiran, Ulrika Dyrlund Martinsson, Ramesh R. Vetukuri, and Aakash Chawade. "Delineation of Genotype X Environment Interaction for Grain Yield in Spring Barley under Untreated and Fungicide-Treated Environments." Plants 12, no. 4 (2023): 715. http://dx.doi.org/10.3390/plants12040715.

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Barley (Hordeul vulgare L.) is the fourth most important cereal crop based on production and cultivated area. Biotic stresses, especially fungal diseases in barley, are devastating, incurring high possibilities of absolute yield loss. Identifying superior and stable yielding genotypes is crucial for accompanying the increasing barley demand. However, the identification and recommendation of superior genotypes is challenging due to the interaction between genotype and environment. Hence, the present investigation was aimed at evaluating the grain yield of different sets of spring barley genotyp

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Capper, B. S., S. Rihawi, and I. Nagi. "Genetic and environmental effects on barley straw quality." Proceedings of the British Society of Animal Production (1972) 1987 (March 1987): 70. http://dx.doi.org/10.1017/s0308229600035066.

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Before progress can be made in the selection of barley varieties (or genotypes) which have superior straw quality it is necessary to demonstrate stability for indicators of straw quality. This means that the ranking of genotypes from those with superior straw value down to those with lower value should be broadly similar when planted either at the same location in different years (or growing seasons) or in the same growing season at different locations. A preliminary test which can be carried out is to compare variation in straw quality caused by genotype with genotype x season interaction var

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Bose, Lotan, Marella Nagaraju, and Onkar Singh. "Genotype x environment interaction and stability analysis of lowland rice genotypes." Journal of Agricultural Sciences, Belgrade 57, no. 1 (2012): 1–8. http://dx.doi.org/10.2298/jas1201001b.

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Twenty-one lowland rice genotypes were evaluated for their stability parameters with respect to grain yield in a multi-locational trial at five different sites of Eastern India viz. Central Rice Research Institute, Cuttack (Orissa); OUAT, Bhubaneswar (Orissa); CRS, Masodha (UP); RAU, Pusa (Bihar) and RARS, North Lakhimpur (Assam). Pooled analysis of variance reflects existence of genotype x environment interactions and contribution of both linear and non-linear components to genotype x environment interactions. Through stability parameter analysis, it was found that Rayda B3, CR 778-95 and CR

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Tsenov, Nikolay, Todor Gubatov, and Ivan Yanchev. "Analysis of genotype by environmental interaction of common wheat (Triticum Aestivum L.) by non-parametric stability methods." Agricultural Sciences 14, no. 35 (2022): 30–45. http://dx.doi.org/10.22620/agrisci.2022.35.005.

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Data from the Multi Environmental Field Trail (MET), which examined 24 varieties of common wheat, were divided into three "datasets" related to three of the five study locations. Using meta-analysis, these three data sets were compared with those from the whole experiment. The aim of the study is to determine whether a 4-year growing period in three country-specific locations, it is possible to establish a significant impact of the environment on the stability of a group of varieties. The analysis of the genotype x environment interaction (GEI) was performed in parallel in the three groups of

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Makful, NFN, NFN Hendri, and NFN Sahlan. "Evaluasi Dua Calon Varietas Unggul Melon di Sumatera Barat, Jawa Barat dan Jawa Timur." Jurnal Hortikultura 27, no. 2 (2018): 185. http://dx.doi.org/10.21082/jhort.v27n2.2017.p185-194.

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<p>Ketersediaan varietas baru melon yang sesuai dengan permintaan konsumen akan membuat komoditas ini lebih berharga sehingga dapat meningkatkan pendapatan petani. Secara umum, karakteristik melon yang diinginkan adalah manis, renyah, beraroma kuat, kulitnya berjala, dan tahan simpan. Sampai saat ini ada dua kandidat melon hibrida yang sedang dievaluasi. Pada tahun 2012 dilakukan uji penanaman dua calon varietas melon tersebut. Tujuan penelitian adalah untuk melakukan evaluasi dua calon varietas unggul baru (genotipe MB1 dan MB2) di tiga lokasi tanam dan juga untuk memperoleh calon varie

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Redden, R. J., I. H. DeLacy, D. G. Butler, and T. Usher. "Analysis of line x environment interactions for yield in navy beans. 2. Pattern analysis of lines and environment within years." Australian Journal of Agricultural Research 51, no. 5 (2000): 607. http://dx.doi.org/10.1071/ar97136.

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Seven years of multi-environment yield trials of navy bean (Phaseolus vulgaris L.) grown in Queensland were examined. As is common with plant breeding evaluation trials, test entries and locations varied between years. Grain yield data were analysed for each year using cluster and ordination analyses (pattern analyses). These methods facilitate descriptions of genotype performance across environments and the discrimination among genotypes provided by the environments. The observed trends for genotypic yield performance across environments were partly consistent with agronomic and disease react

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Mirzawan, PDN, M. Cooper, and DM Hogarth. "The impact of genotype multiply environment interactions for sugar yield on the use of indirect selection in southern Queensland." Australian Journal of Experimental Agriculture 33, no. 5 (1993): 629. http://dx.doi.org/10.1071/ea9930629.

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To develop a strategy to improve the efficiency of selection, indirect selection and pattern analysis were used to examine the magnitude and form of genotype x environment (GE) interactions for sugar yield in sugarcane clones in southern Queensland. Clone x location interactions were the predominant source of clone X environment interactions and were much larger than clone x crop-year and clone x location x crop-year interactions. Both the indirect selection study and the pattern analysis emphasised the relative magnitude of these sources of interactions. Pattern analysis strongly associated c

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Malalha, Mamoudou, Dolinassou, S., Katoukam, M., and Noubissié Tchiagam Jean Baptiste. "Genotype x Environment Interactions for Oil Content in Cotton (Gossypium hirsutum L.) Cultivars Grown in Northern Cameroon." East African Scholars Journal of Agriculture and Life Sciences 6, no. 03 (2023): 72–80. http://dx.doi.org/10.36349/easjals.2023.v06i03.003.

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Cotton breeding programs are mainly focus on improving fiber although the oil extracted from cotton seeds is the fifth vegetable oil consumed in the world due to its good quality. The purpose of this study was to evaluate six cultivars of Gossypium hirsutum regarding their oil content on four locations in the northern Cameroon during two consecutive seasons, in order to select stable genotypes for high oil content. In each location, the experimental design was a completely randomized block with three replications. The determination of the oil content of the cottonseeds was done by the Soxhlet

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Ma, Yunxia, Jian Wu, Yonghua Tao, et al. "Evaluation of “Genotype x Environment” Interaction for Performance in the Potential Energy Plant Xanthoceras sorbifolium Under Multi-Environment." Journal of Biobased Materials and Bioenergy 15, no. 2 (2021): 260–68. http://dx.doi.org/10.1166/jbmb.2021.2059.

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Xanthoceras sorbifolium Bunge has attracted the attention of the world because of its potential to produce biodiesel. We tested the traits of the seedlings of X. sorbifolium from 26 natural provenances cultivated in three locations of Zhangwu (ZW), Jingbian (JB) and Anqiu (AQ), and analyzed the genotype x environment interaction by BLUP-GGE method. The results showed that the genotype effect, environmental main effect and genotype-environment interaction effect have significant influence on X. sorbifolium growth in the early growth stage, and the variation of ground diameter is greater than th

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Correa, Edgar, Subas Malla, Kevin M. Crosby, and Carlos A. Avila. "Evaluation of Genotypes and Association of Traits in Watermelon Across Two Southern Texas Locations." Horticulturae 6, no. 4 (2020): 67. http://dx.doi.org/10.3390/horticulturae6040067.

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Watermelon is the most important horticultural crop in Texas and is grown across the state under diverse environments. Our study was conducted in the southern region of Texas to understand genotype-by-environment interactions and the contribution of yield components to yield. To accomplish this, twenty genotypes were evaluated for important traits and characteristics at two locations, Uvalde and Weslaco TX, for two years, 2018 and 2019. The genotypes were evaluated for total yield, total fruit count, total soluble solids, rind thickness, fruit length, diameter and weight. Genotype-by-environme

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Dabi, Alemu, Gadisa Alemu, Berhanu Sime, et al. "Multi-environments Evaluation of Zn and Fe Enhanced Bread Wheat Genotypes in Optimum Areas of Ethiopia." International Journal of Bio-resource and Stress Management 15, Jun, 6 (2024): 01–11. http://dx.doi.org/10.23910/1.2024.5375.

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A multi-location experiment was conducted during June, 2020–October, 2021 under rainfed condition at Kulumsa, Asasa, Adet, Holeta, and Sinana Research centers, Ethiopia to evaluate the genotype-by-environment interaction effect and grain yield stability of Zn and Fe enhanced bread wheat genotypes grown. The treatments constituted 21 advanced genotypes and two standard checks were evaluated in an alpha lattice design replicated three times and data analysis was carried using R software. The results showed that genotypes and genotype x environmental interaction had a significant (p<0.001) eff

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Cadersa, Y., D. Santchurn, J. Govinden Soulange, S. Saumtally, and Y. Parmessur. "Genotype- by-environment interaction for marketable tuber yield in advanced potato clones using AMMI and GGE methods." African Crop Science Journal 30, no. 3 (2022): 331–46. http://dx.doi.org/10.4314/acsj.v30i3.5.

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Analysis of genotype-by-environment interaction (GEI) is critical in the local potato breeding and selection programme to obtain information on the performance of the genotypes for yield adaptability and stability. The objective of this study was to assess the marketable tuber yield of 18 advanced potato clones compared to the commercial variety Spunta at four locations (Bigara, Réduit, St. Antoine and Rivière du Poste), representative of four major soil types in Mauritius. They were analysed for adaptability and stability using the additive main effects and multiplicative interaction (AMMI) m

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Aragão, Fernando Antonio Souza de, Glauber Henrique de Sousa Nunes, and Manoel Abilio de Queiróz. "Genotype x environment interaction of melon families based on fruit quality traits." Crop Breeding and Applied Biotechnology 15, no. 2 (2015): 79–86. http://dx.doi.org/10.1590/1984-70332015v15n2a15.

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Significant genotype vs. environment interaction (G x E) is expected as a result of geographical diversity and differences in management techniques in melon growing. Ninety-six F3 families from the cross between inodorus and conomon melons were evaluated in three environments for studying interaction. The G x E interaction, genetic parameters, and direct and indirect gains were estimated. Average weight of the fruit, pulp thickness, cavity thickness, pulp firmness, and soluble solids were evaluated. The simple part of the G x E interaction was always greater than 99%, except for pulp firmness,

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Takim, Felix, Gbedabo Olaoye, Yakeen Abayomi, et al. "Evaluation of maize grain yield in drought-prone environment." Journal of Agricultural Sciences, Belgrade 62, no. 1 (2017): 15–29. http://dx.doi.org/10.2298/jas1701015t.

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Multi-location trial data obtained between 2007 and 2014 involving open pollinated varieties (OPVs) and hybrid maize (Zea mays L.) were analysed using GGE (Genotype and Genotype x Environment) and AMMI (Additive Main Effect and Multiplicative Interaction) models to assess their performance and suitability as cultivars, and identify promising genotypes and sites for further evaluations in the different locations of the southern Guinea savanna of Nigeria. The experiments were set up as a randomized complete block design with three replications in all the locations. The plot size consisted of two

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Krisnawati, Ayda, Panjisakti Basunanda, NFn Nasrullah, and M. Muchlish Adie. "ANALISIS STABILITAS HASIL GENOTIPE KEDELAI MENGGUNAKAN METODE ADDITIVE MAIN EFFECT AND MULTIPLICATIVE INTERACTION (AMMI)." Informatika Pertanian 25, no. 1 (2016): 41. http://dx.doi.org/10.21082/ip.v25n1.2016.p41-50.

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<p>An ideal soybean cultivar is the one that achieves the greatest yield consistently across many environments regardless of environmental conditions. The objective of this experiment was to determine the soybean seed yield stability by AMMI method. A total of ten soybean genotypes, which consisted of eight soybean promising lines (G100H/SHRW-60-38, SHRW-60/G100H-73, SHRW-60/G100H-68, SHRW-60/G100H-66, G100H/SHRW-34, SHRW-60/G100H-5, SHRW-60/G100H-70, and SHRW-60/G100H-75) and two soybean check varieties (Kaba and Wilis) was evaluated at six soybean production centers in Yogyakarta, Bany

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Ashango, Zeleke, and Sentayehu Alamerew. "Seed Yield Stability and Genotype × Environment Interaction in Common Bean (Phaseolus vulgaris L.) Varieties in Dawro Zone, Southwestern Ethiopia." Greener Journal of Plant Breeding and Crop Science 5, no. 1 (2017): 1–12. https://doi.org/10.15580/GJPBCS.2017.1.083016140.

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Stable yield performance of genotypes is very important in countries like Ethiopia where means to modify environments are limited. However, happening of significant genotype X environment interaction (GEI ) complicates selection of stable genotypes. In Ethiopia, the yield potential of common bean varieties is underutilized due to inadequate addressing of all potential areas and mismatch between selection and production environments. Thus, 14  common bean varieties were evaluated at seven locations for seed yield performance using Randomized complete block design with three replications in

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Dutta, Chumki, Deb Jyoti Nath, Japani Chinir, Samir Medhi, and Star Luikham. "Morphological and Biochemical Characterization of Seven Strawberry (Fragaria × ananassa Duch.) Cultivars Grown in Meghalaya, India." Journal of Advances in Biology & Biotechnology 28, no. 4 (2025): 877–88. https://doi.org/10.9734/jabb/2025/v28i42244.

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Morphological evaluation as per defined DUS descriptors for seven cultivated varieties of strawberry (Fragaria x ananassa Duch.) viz., Camarosa, Chandler, Festival, Sweet Charlie, Nabila, Sabrina and Winter Dawn were done in the farmer’s field across four locations of Sohliya, Umsning, Umktieh and Pynursla in Meghalaya where strawberry is commercially grown following recommended package of practices. Of the thirty qualitative traits studied, variation was observed for nineteen traits. Wide variation was also observed for the fourteen quantitative traits pertaining to fruit size, number of frui

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Dia, Mahendra, Todd C. Wehner, Gary W. Elmstrom, et al. "Genotype X Environment Interaction for Yield of Pickling Cucumber in 24 U.S. Environments." Open Agriculture 3, no. 1 (2018): 1–16. http://dx.doi.org/10.1515/opag-2018-0001.

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Abstract Reliable yield performance is important in cucumber because seed companies prefer to market cultivars adapted to multiple rather than single regions of the U.S. Also, growers benefit by using a cultivar that performs well in many environments. Future performance of cultivars is also important. The objectives of the study were to (i) evaluate the yield of cucumber genotypes over successive years and in different locations, and (ii) identify cucumber genotypes with high stability for yield. A diverse set of 22 pickling genotypes was evaluated over 3 years (1986, 1987 and 1988) and in 7

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