EVALUATION OF IMPROVED SOYBEAN (Glycine max (L.) Merr.) GENOTYPES TREATED WITH IRON NANOPARTICLES

المؤلفون

الكلمات المفتاحية:

Array

الملخص

Soybean distribution in Nigeria is predominantly found in the northern and central regions of the country, where the climatic and soil conditions are favorable for its cultivation. The aim of this study was to evaluate the improved soybean genotypes exposed to Iron Nanoparticles (FeNPs). The study was carried out at the research and experimental plots of the Department of Plant Science and Biotechnology, Federal University of Lafia, in the Guinea Savanna zones of North Central Nigeria, from July to November 2024. The collected improved and local soybean genotypes were laid out in a randomized complete block design (RCBD) with each of the genotype having three replications. The result revealed significant differences among the varieties and treatments for agronomic traits. Germination count was insignificant across genotypes, with values ranging from 1.33 SC SIGNAL (V4T0) to 4.00 TGx2016-6ExCIMARONA (V3T1). Maximum mean number of branches were recorded with FeNPs treatment 2 in TGx2024-7E (V10T0) and TGx1740-2F-2I (V2T0), with 13.00 and 12.67, respectively; with the least value of 5.67 recorded in SC SIGNAL (V4T1). The varieties TGx2020-4e (V5T1) and S1252-5-227 (V8T0) are recommended for cultivation in the study area.

السير الشخصية للمؤلفين

Hauwa Ahmad Kana

Department of Plant Science and Biotechnology

Godwin Omame Ogah

Department of Plant Science and Biotechnology

Adama Ababarabi Umar

Department of Plant Science and Biotechnology

Dimensions

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منشور

2026-05-12

كيفية الاقتباس

EVALUATION OF IMPROVED SOYBEAN (Glycine max (L.) Merr.) GENOTYPES TREATED WITH IRON NANOPARTICLES. (2026). FULafia Journal of Science and Technology , 10(2), 79-83. https://doi.org/10.62050/fjst2026.v10n2.777

إصدار

القسم

Agricultural and Biological Sciences

كيفية الاقتباس

EVALUATION OF IMPROVED SOYBEAN (Glycine max (L.) Merr.) GENOTYPES TREATED WITH IRON NANOPARTICLES. (2026). FULafia Journal of Science and Technology , 10(2), 79-83. https://doi.org/10.62050/fjst2026.v10n2.777

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