Evaluation of Maize Genotypes for Some Quantitative Traits in the Agro-Climatic Conditions of Swat Valley

Paper Details

Research Paper 01/02/2016
Views (1270)
current_issue_feature_image
publication_file

Evaluation of Maize Genotypes for Some Quantitative Traits in the Agro-Climatic Conditions of Swat Valley

Irfan Ullah, Dr. Sher Aslam Khan, Akhter Ali, Khwaja Muhammad Khan, Dr. Naushad Ali, Dr. Ayub Khan, Ahmed Ali, Ibrar Khan, Izhar Khan, Hanif Raza
Int. J. Biosci. 8(2), 77-81, February 2016.
Copyright Statement: Copyright 2016; The Author(s).
License: CC BY-NC 4.0

Abstract

The present study was carried out at Agriculture Research Institute (North) Mingora (ARI-N) Swat, Khyber Pakhtunkhwa for the evaluation of 20 maize genotypes for ten quantitative traits in the agro-climatic conditions of Swat valley with the aim to reveal information on the nature and degree of genetic variability, the pattern of association between yield and its components characters. The experiment was layout in Randomized Complete Block Design (RCBD) with three replications. Data for ten traits including days to germination, days to 50% tasseling, days to 50% silking, plant height (cm), ear height (cm), ear diameter, kernel rows ear-1, number of kernels row-1, 100 grain weight (g), grain yield (t ha-1) was recorded and analyzed. Analysis of variance revealed significant differences among the genotypes for the all the studied traits which confirm the presence of genetic diversity. Seed yield revealed significant positive phenotypic correlation with Plant height, Ear diameter, Kernel row ear-1, Kernel row-1 and 100 grain weight. Similarly days to 50% silking, ear diameter, kernal rows ear-1 and kernal row. Among the tested genotypes, BKC-07 was early maturing type which took 111 days to maturity, while the genotype Islamabad Gold out yielded all the tested genotypes including the check cultivars by producing 4.8 t ha-1 maize seed. It was followed V2-Jalal-78 (4.63 t ha-1). These genotypes may further studied for yield and maturity to identify better performing lines for site specific and wider adaptations.

Ahmad A, Muhammad S. 2003. Path coefficient analysis in Zea mays L. International journal of agriculture and biology 5,245-248.

Akinwale RO, Baduand AB, Fakorede MAB. 2013. Evaluation of striga-resistant early maize hybrids and test locations under striga-infested and striga free environments. African Crop Science. J 21, 1-19.

Bekele A, Rao NT. 2014. Estimates of heritability, genetic advance and correlation study for yield and it’s attributes in maize (Zea mays L.). Journal of Plant Sciences 2, 1-4. http://dx.doi.org/10.11648/j.jps.20140201.11

Bocanski  J,  Zorana  S, Aleksandra N.  2009. Genetic and phenotypic relationship between grain yield and components of grain yield of maize (Zeamays L.). Original science, paper. Genetika 41, 145 -154. http://dx.doi.org/10.2298/GENSR0902145B

De S Rao BT, Ram AD, Paul, Ali TD, Carolina, Facchi L, Fernando LRP, Juliana PP. 2012. Maize genotypes expression in environments of southern Brazil. Journal of Food, Agriculture and Envirnment. 10, 313-315.

Kanagarasu S, Nallatthambi G, Ganesan KN. 2013. Combining ability analysis for yield and its component traitsin maize (Zea mays L.). Electronic Journal of Plant Breeding 1,915-920.

Kumar GP, Prashanth Y, Narsimha VR, Sudheer SK, Venkateshwara RP. 2014. Character association and path coefficient analysis in maize (Zea mays L.). International Journal of Applied Biology and Pharmaceutical Technology. 5,257-260.

Mitrovic B, Stanisavljevi D, Treski S, Stojakovic M, Ivanovic M, Bekavac G, Rajkovic M. 2012. Evaluation of experimental Maize hybrids tested in Multi-location trials using AMMI and GGE biplot analysis. Turkish Journal of Field Crops 17, 35-40.

Nastasic A, Jockovic DJ, Ivanovic M, Stojakovic M, Boćanski J, Djalovic I, Sre ćkov Z.2010. Genetic relationship between yield and yield components of maize. Genetika 42,529-534.

Nemati A, Mohammad S, Rauf SS, Mir SN. 2009. Investigation of correlation between traits and path analysis of corn (Zea mays L.) grain yield at the climate of Ardabil region (Northwest Iran). Notulae Botanicae Horti Agrobotanici Cluj-Napoca 37,194-198.

Poehlman JM. 1997. Breeding Field Crops. 2nd. The AVI Publish. Co. Inc. Westport, Connecticut.

Rangaswamy R. 2010. A textbook of agricultural statistics. New age international (P) limited publishers, New Delhi. 140 – 155.

Steel RGD, Torrie JS. 1980. Principal and procedure of statistics. McGraw Hill Book Company Inc., New York.

Unay A, Basal H, Knonak C. 2004. Inheritance of grain yield in a half-diallel maize population. Turkey Journal of Agriculture 2(8), 239-244.

Ullah K, Rahman H, Noor M, Raza M, Muhammad I, Ullah S. 2013. Heritabilty estimated and yield performance of half sib families derived from maize variety sarhad white. Sarhad Journal of Agriculture 29, 29-32.

Yohanna MK. 2014. Correlation coefficients between grain yield and other characters of maize (Zee mays L.) grown at Mubi in Northern Savanna. Nigeria. International Journal of Farming and Allied Sciences 3, 220-224. Available online at www.ijfas.com

Related Articles

Molecular detection and prevalence assessment of human norovirus: NoV (GI and GII) in Mugil cephalus (fish, teleost, Mugilidae) in Dakar, Senegal

Malick Ndiaye*, Malick Fall, Moussa Camara, Mamadou Malado Jallow, Ndongo Dia, Int. J. Biosci. 29(4), 144-152, October 2026.

Effects of partially replacing protein and fiber sources with cashew nut cake and cashew apple bagasse on the production performance of meat quails (Coturnix japonica Temminck & Schlegel, 1849)

N’Dri Saint-Clair Amani*, Moriféré Coulibaly, Gbohono Angelina Loukou, Howélé Ouattara, Int. J. Biosci. 29(4), 133-143, October 2026.

Mineral composition of fresh and dried peppers (Piper nigrum L.) from Côte d’Ivoire

Moussa Coulibaly*, Parfait Kouassi Kan Kouassi, Julien Koffi Golly, Doudjo Soro, Emmanuel Nogbou Assidjo, Benjamin Kouassi Yao, Int. J. Biosci. 29(4), 112-121, October 2026.

Phenotypic diversity of cocoa (Theobroma cacao L.) based on morphological characterization descriptors in major cocoa-growing areas of Tanzania

Godwin G. Maro*, Pavithravani B. Venkataramana, Kelvin M. Mtei, Mashamba Lucas Philip, Int. J. Biosci. 29(4), 102-111, October 2026.

Anti-inflammatory, analgesic and antipyretic activities of the aqueous leaf extract of Kalanchoe crenata (Andrews) Haw. traditionally used for ear disorders in Côte d’Ivoire

Monyn-Kouamé Ebalah Delphine*, Yéo Sounta Oumar, Sépé Gbodjrou Marthe, Kandé Brahima, Int. J. Biosci. 29(4), 81-89, October 2026.

General characteristics of the factors influencing the effectiveness of symbiotic relationships between legumes and bacteria

K. F. Bakhshaliyeva, N. D. İmamquliyev, M. İ. Qasımova, S. M. Muradova*, Int. J. Biosci. 29(4), 70-80, October 2026.