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

Paper Details

Research Paper 01/02/2016
Views (889)
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

Sensory acceptability of gnocchi pasta added with different levels of malunggay (Moringa oleifera) leaves and blue ternate (Clitoria ternatea) flowers

Ralph Justyne B. Bague, James Troyo, Proceso C. Valleser Jr.*, Int. J. Biosci. 28(1), 103-114, January 2026.

Spatio-temporal analysis of vegetation cover and socio-environmental implications in Korhogo (Northern Côte d’Ivoire) from 1990-2020

Adechina Olayossimi*, Konan Kouassi Urbain, Ouattara Amidou, Yao-Kouamé Albert, Int. J. Biosci. 28(1), 94-102, January 2026.

Predicting the habitat suitability of Vitellaria paradoxa under climate change scenarios

Franck Placide Junior Pagny*, Anthelme Gnagbo, Dofoungo Kone, Blaise Kabré, Marie-Solange Tiébré, Int. J. Biosci. 28(1), 73-83, January 2026.

Performance response dynamics of rabbits (Oryctolagus cuniculus) to locally sourced, on-farm feed ingredients during the growing phase: Implications for the institutional rabbit multiplier project

Roel T. Calagui*, Janelle G. Cadiguin, Maricel F. Campańano, Jhaysel G. Rumbaoa, Louis Voltaire A. Pagalilauan, Mary Ann M. Santos, Int. J. Biosci. 28(1), 65-72, January 2026.

Chronopharmacology: Integration of circadian biology in modern pharmacotherapy

Sangram D. Chikane*, Vishal S. Adak, Shrikant R. Borate, Rajkumar V. Shete, Deepak V. Fajage, Int. J. Biosci. 28(1), 56-64, January 2026.

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.