Genotype by environment interaction and stability for grain yield in corn (Zea mays L)

Paper Details

Research Paper 01/10/2018
Views (637)
current_issue_feature_image
publication_file

Genotype by environment interaction and stability for grain yield in corn (Zea mays L)

Riyadh Jabbar Al-Maliki
Int. J. Biosci. 13(4), 357-362, October 2018.
Copyright Statement: Copyright 2018; The Author(s).
License: CC BY-NC 4.0

Abstract

This study was carried out with the aim of identifying eight inbreed line of maize through season 2016 in three different environmental location (Wasit, Diwaniyah and Nasiriyah) to determine the most stable inbreed. The study involved planting this breeds (Inp-6, Pio-17, Syn-9, Zm-17, Pio-3, S-10, MGW-1 and Ast-B). Using RCBD design to three replicate. The results showed significant differences between each of the inbreeds and location approved for the studied traits (ear length and number of rows in ear and the number of grains in the row and the grain yield of the plant). The result of the stability analysis, four of them (Inp-6, Pio-17, S-10, and Ast-B) showed high averages relative to the general average and the slope coefficients were to one within the two confidence intervals. It is the best in adapting to all environmental conditions. Inp-6 inbreed is superior to the ear length, which is 19.19cm in length, while the Ast-B is superior in both rows of ear and plant yield, with 23.35 rows and 322.83g respectively. While inbreedInp-6 and Pio-17 in the number of grains per row were 15.41 seed per row and some inbreed showed that It is adapted to the new environmental conditions as in the inbreed (Ast-B, S-10 of Australian origin and Pio-17 Yugoslav origin, which exceeded the individual grain yield of the localin breeds at 322.83, 312.87 and 284.57g / plant). The ast–B inbreed highest components and adapted to the conditions of the studied environments.

Badu-Apraku B, Abamu FJ, Menkir A, Fakorade MAB, Obeng-Antwi K. 2003. Genotype by environment interactions in the regional early maize variety trials in West and Central Africa. Maydica 48, 93-104.

Comstock RE, Moll RH. 1963. Genotype-Environment Interactions, Symposium on Statistical Genetics and Plant Breeding, NASNRC Publication 982, pp. 164-196.

Demisie D. 2016. Genotype by Environment Interaction and Yield Stability Analysis of Ethiopian Bread Wheat Using Mixed Model. Haramaya University, Haramaya. pp. 78.

Eberhart SA, Russel WA. 1966. Stability parameters for comparing varieties. Crop Sci 6, 36-40.

Elsahookie MM. 1996. Applications on stability analysis of genotypes.The Iraqi Jour. for Agri. Sci   27, 11-20.

Finlay KW, Wilkinson GN. 1963. The analysis of adaptation in a plant breeding programme Australian. J. Agric. Res 14, 742-754.

Francis TR, Kannenberg LW. 1978. Genotype grouping and stability measurement. Can. J. Plant Sci 58, 1029-1034.

Kang MS. 1988. A rank – Sum Method For Selecting high yielding Stable Corn n.genotypes Cereal Res. Comm 16, 113-115.

Knight R. 1970. The measurement and interpretation of genotype environment interactions. Euphytica 19, 225-35.

Lin CS. Binns MR, Lefkovitch L. 1986. Stability analysis: Where do weStand Crop Sci 26, 894-900.

Perkins JM, Jinks JL. 1968. Environmental and genotype environmental components of variability. III. Multiple lines and crosses. Heredity 23, 339-356.

Shukla GK. 1972. Some statistical aspects of partitioning genotype-environmentcomponents of variability. Heredity 29, 237-45.

Surma M, Adamski T, Banaszak Z, Kaczmarek Z, Kuczyńska H, Tugowska MB, Obuchowskił W, Salmanowicz B, Krystkowiak K. 2015. Effect of genotype, environment and their interaction on quality parameters of wheat breeding lines of diverse grain hardness.Plant Prod. Sci. 15(3), 192-203.

Related Articles

Evaluation of the impact of floristic diversity on the productivity of cocoa-based agroforestry systems in the new cocoa production area: The case of the Biankouma department (Western Côte d’Ivoire)

N'gouran Kobenan Pierre, Zanh Golou Gizele*, Kouadio Kayeli Anaïs Laurence, Kouakou Akoua Tamia Madeleine, N'gou Kessi Abel, Barima Yao Sadaiou Sabas, Int. J. Biosci. 28(1), 44-55, January 2026.

Utilization of locally sourced feed ingredients and their influence on the growth performance of broiler chickens (Gallus gallus domesticus): A study in support of the school’s chicken multiplier project

Roel T. Calagui*, Maricel F. Campańano, Joe Hmer Kyle T. Acorda, Louis Voltaire A. Pagalilauan, Mary Ann M. Santos, Jojo D. Cauilan, John Michael U. Tabil, Int. J. Biosci. 28(1), 35-43, January 2026.

Knowledge, attitudes, and practices regarding malaria prevention and the use of long lasting insecticidal nets after mass distribution campaigns in northern Côte d’Ivoire

Donatié Serge Touré, Konan Fabrice Assouho*, Konan Rodolphe Mardoché Azongnibo, Ibrahim Kounady Ouattara, Foungoye Allassane Ouattara, Mamadou Doumbia, Int. J. Biosci. 28(1), 28-34, January 2026.

Characterization of stands and evaluation of carbon sequestration capacity of shea parklands (Vitellaria paradoxa C. F. Gaertn., Sapotaceae) in the departments of Dabakala and Kong, Ivory Coast

Konan Nicolas Kouamé*, Lacina Fanlégué Coulibaly, Mohamed Sahabane Traoré, Eric-Blanchard Zadjéhi Koffi, Nafan Diarrassouba, Int. J. Biosci. 28(1), 1-15, January 2026.

Muscle type and meat quality of local chickens according to preslaughter transport conditions and sex in Benin

Assouan Gabriel Bonou*, Finagnon Josée Bernice Houéssionon, Kocou Aimé Edenakpo, Serge Gbênagnon Ahounou, Chakirath Folakè Arikè Salifou, Issaka Abdou Karim Youssao, Int. J. Biosci. 27(6), 241-250, December 2025.

Effects of micronutrients and timing of application on the agronomic and yield characteristics of cucumber (Cucumis sativus)

Princess Anne C. Lagcao, Marissa C. Hitalia*, Int. J. Biosci. 27(6), 214-240, December 2025.