مجلة جامعة كركوك للعلوم الزراعية (Jun 2024)

Comparative analysis of growth and seed quality of maize (Zea mays L.) hybrids under different planting pattern and plant space.

  • Malak Hussein,
  • Sakar Kaka rash,
  • Zakarya Mahmod

DOI
https://doi.org/10.58928/ku24.15213
Journal volume & issue
Vol. 15, no. 2
pp. 116 – 126

Abstract

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This study was carried out during season of 2023 at Agricultural Research Station of the College of Agriculture - University of Kirkuk, with the aim of determine the best hybrid, plant space, and plant pattern to study the effect of growth and quality traits on maize crop. Experimental design using Randomized Complete Block Design (RCBD) according to the split split-plot design, with three replications. Used four Plant space (15,20,25, and 30) cm and their symbol is (D1, D2, D3, and D4), Planting pattern (Single row 50cm and double row 30x50cm) and their symbol is (P1 and P2), and hybrids (DKC6050 and DKC6777) and their symbol are (G1 and G2) respectively. Significant differences were observed among hybrids, plant spacing, and plant patterns for each studied trait. Hybrid G2 exhibited performance for plant height (210.41 cm) and ear height (100.83 cm), ear length (20.92cm) and leaf area (6117.78 cm2) compared to G1 (188.48 cm, 92.04, 19.17 cm and5599.59cm2), respectively. plant spacing, particularly D2 and D3 significantly impacted plant height, ear length and leaf area (100.42 cm,100.19 cm),( 20.19 , 20.67 cm) and (6109.00 and 6086.88cm2) respectively, while planting pattern P2 significantly effected on plant height, ear height and ear length by recording ( 203.13 cm,98.54 cm and 20.79 cm) while did not effect on 50 % of silking periods, leaf area, protein and oil% .The interactions between hybrids, plant spacing, and planting patterns significantly influenced trait. For instance, the interaction G2xD2 resulted in the highest ear height (106.67 cm), while the interaction G1xD1 led to the lowest number of days to reach 50% tasseling (53.67 days). These findings provide valuable insights into the factors affecting agronomic traits and can inform future breeding strategies and cultivation practices to enhance crop productivity and quality.

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